A. A. Falkner, A. Felfernig, and A. Haag, Recommendation technologies for configurable products, vol.32, pp.99-108, 2011.

N. Friedman, I. Nachman, and D. Peér, Learning bayesian network structure from massive datasets: the «sparse candidate «algorithm, Proceedings of the Fifteenth conference on Uncertainty in Artificial Intelligence (UAI'99, pp.206-215, 1999.

T. Hadzic and H. R. Andersen, Interactive reconfiguration in power supply restoration', in Principles and Practice of Constraint Programming-CP, 11th International Conference, pp.767-771, 2005.

T. Hadzic, A. Wasowski, and H. R. Andersen, Techniques for efficient interactive configuration of distribution networks, IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp.100-105, 2007.

D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich, Recommender Systems-An Introduction, 2010.

M. Kutschke, Jayes-bayesian network library under eclipse public license, 2013.

L. Steffen, D. Lauritzen, and . Spiegelhalter, Local computations with probabilities on graphical structures and their application to expert systems, Journal of the Royal Statistical Society. Series B (Methodological, pp.157-224, 1988.

J. Pearl, A constraint-propagation approach to probabilistic reasoning, UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, pp.357-370, 1012.

J. Pearl, Probabilistic reasoning in intelligent systems-networks of plausible inference, 1989.

G. Schwarz, Estimating the dimension of a model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.

M. Scutari, Learning bayesian networks with the bnlearn R package, Journal of Statistical Software, vol.35, issue.3, pp.1-22, 2010.

P. Spirtes, R. Clark-n-glymour, and . Scheines, Causation, prediction, and search, 2000.

I. Tsamardinos, L. E. Brown, and C. F. Aliferis, The max-min hill-climbing bayesian network structure learning algorithm, Machine Learning, vol.65, pp.31-78, 2006.
DOI : 10.1007/s10994-006-6889-7

URL : https://link.springer.com/content/pdf/10.1007%2Fs10994-006-6889-7.pdf

T. Verma and J. Pearl, Equivalence and synthesis of causal models, Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence (UAI '90, pp.255-270, 1990.

L. Nevin, D. Zhang, and . Poole, A simple approach to bayesian network computations, Proceedings of the Tenth Canadian Conference on Artificial Intelligence, 1994.

A. Aztiria, A. Izaguirre, R. Basagoiti, J. Augusto, and D. Cook, Automatic Modeling of Frequent User Behaviours. In: Intelligent Environments, Proc. of IE, pp.7-12, 2010.
DOI : 10.1109/ie.2010.9

H. Beyer and K. Holtzblatt, Contextual Design. Interactions, vol.6, issue.1, pp.32-42, 1999.

R. Burke, Hybrid web recommender systems, The adaptive web, pp.377-408, 2007.

A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker, An Integrated Environment for the Development of Knowledge-based Recommender Applications, Int. Journal of Electronic Commerce, vol.11, issue.2, pp.11-34, 2006.

A. Felfernig, M. Schubert, and C. Zehentner, An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets, Artificial Intelligence for Engineering Design, vol.26, issue.1, pp.53-62, 2012.

A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, Knowledge-based Configuration-From Research to Business Cases, 2014.

M. Hitz, G. Leitner, H. Groß, and . Hsg, Das Haus als Gegenstand interdisziplinärer Forschung, 2012.

N. Kushwaha, M. Kim, D. Y. Kim, and W. Cho, An intelligent agent for ubiquitous computing environments: Smart home ut-agent, Proc. of SEUS, pp.157-159, 2004.

T. Kleinberger, M. Becker, E. Ras, A. Holzinger, and P. Müller, Ambient Intelligence in Assisted Living: Enable Elderly People to Handle Future Interfaces, vol.4555, pp.103-112, 2007.

M. Lemay, J. J. Haas, and C. A. Gunter, Collaborative Recommender Systems for Building Automation, System Sciences, pp.1-10, 2009.

G. Leitner, F. Ferrara, A. Felfernig, and C. Tasso, Decision Support in the Smart Home, Decisions@RecSys'11, 2011.

G. Leitner, A. Felfernig, A. Fercher, and M. Hitz, Disseminating Ambient Assisted Living in the Rural Area, Sensors Journal, vol.14, issue.8, pp.13496-13531, 2014.

S. Mennicken, J. Vermeulen, and E. M. Huang, From Todays Augmented Houses to Tomorrows Smart Homes: New Directions for Home Automation Research, Proc. 2014 ACM Intl Joint Conf. Pervasive and Ubiquitous Computing, p.105115, 2014.

J. Nielsen, Remote control anarchy

M. J. Pazzani and D. Billsus, Chapter Content-based recommendation systems, In: The adaptive web, pp.325-341, 2007.

T. Perumal, A. R. Ramli, C. Y. Leong, S. Mansor, and K. Samsudin, Interoperability for Smart Home Environment Using Web Services, Int. Journal of Smart Home, vol.2, issue.4, p.16, 2008.

M. Pum, Configurator-Umgebung fr die Unterstützung der Erstellung individualisierter Smarthome Systeme

J. B. Schafer, D. Frankowski, J. Herlocker, and S. Sen, Chapter Collaborative Filtering recommender systems, The adaptive web, pp.291-324, 2007.

B. Schwartz, The Paradox of Choice: Why More Is Less, 2004.

P. Slovic, The Construction of Preference, American Psychologist, vol.50, issue.5, pp.364-371, 1995.

T. Wittmann, R. Morrison, J. Richter, and T. , Bruckner: A Bounded Rationality Model of Private Energy Investment Decisions, Proc. of the 29th IAEE, 2006.

W. Verhagena, P. Bermell-garciab, R. Van-dijkc, and R. , Curran-A critical review of Knowledge-Based Engineering: An identification of research challenges-Adv, Engin. Informatics, vol.26, issue.1, pp.5-15, 2012.

B. Chandrasekaran, Design problem solving : a task analysis, Artificial Intelligence Magazine, vol.11, pp.59-71, 1990.

J. Olhager, Strategic positioning of the order penetration pointInt, J. of Prod. Economics, vol.85, pp.319-329, 2003.

A. Felfernig, L. Hotz, C. Bagley, and J. , Tiihonen-Knowledge-based Configuration From Research to Business Cases, 2014.

D. Mr-endsley and . Jones, Confidence and Uncertainty in situation awareness and decision making-Designing for situation awareness, pp.113-121

S. Mittal and F. , Frayman-Towards a generic model of configuration tasks, Proceedings of IJCAI, pp.1395-1401, 1989.

M. Aldanondo and E. , Vareilles-Configuration for mass customization: how to extend product configuration towards requirements and process configuration, J. of Intel. Manufacturing, vol.9, issue.5, pp.521-535, 2008.

T. O'reilly, What is Web 2.0: Design patterns and business models for the next generation of software, Communications & Strategies, vol.65, pp.17-37, 2007.

T. Berners-lee, J. Hendler, and O. Lassila, The semantic web, Scientific American, vol.284, pp.28-37, 2001.

I. Maignan and B. A. Lukas, The nature and social uses of the Internet: A qualitative investigation, The Journal of Consumer Affairs, vol.31, pp.346-371, 1997.

I. Benbasat and N. Kumar, Para-social presence and communication capabilities of a web site: a theoretical perspective, E-service Journal, vol.1, pp.5-24, 2002.

N. Kumar and I. Benbasat, Shopping as experience and website as a social actor: web interface design and para-social presence, Proceedings, vol.54, 2001.

K. Hassanein and M. Head, Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping, International Journal of Human-Computer Studies, vol.65, pp.689-708, 2007.
DOI : 10.1016/j.ijhcs.2006.11.018

X. Wang, C. Yu, and Y. Wei, Social media peer communication and impacts on purchase intentions: A consumer socialization framework, Journal of Interactive Marketing, vol.26, 2012.
DOI : 10.1016/j.intmar.2011.11.004

H. T. Reis and L. Wheeler, Studying social interaction with the Rochester Interaction Record, Advances in Experimental Social Psychology, vol.24, pp.269-318, 1991.
DOI : 10.1016/s0065-2601(08)60332-9

W. A. Warr, Social Software: fun and games, or business tools?, Journal of Information Science, vol.34, pp.591-604, 2008.
DOI : 10.1177/0165551508092259

C. Grosso, C. Forza, and A. Trentin, Support for the social dimension of shopping through Web Based Sales Configurators

N. Franke, P. Keinz, and M. Schreier, Complementing Mass Customization Toolkits with User Communities: How Peer Input Improves Customer Self-Design', Journal of Product Innovation Management, vol.25, pp.546-559, 2008.
DOI : 10.1111/j.1540-5885.2008.00321.x

URL : http://epub.wu.ac.at/3101/1/keinz_jpim.pdf

L. B. Jeppesen, User toolkits for innovation: Consumers support each other, Journal of product innovation management, vol.22, pp.347-362, 2005.
DOI : 10.1111/j.0737-6782.2005.00131.x

L. B. Jeppesen and M. J. Molin, Consumers as co-developers: Learning and innovation outside the firm, Technology Analysis & Strategic Management, vol.15, pp.363-383, 2003.
DOI : 10.1080/09537320310001601531

URL : http://openarchive.cbs.dk/bitstream/handle/10398/7281/wp03-01.pdf?sequence=1

M. Zeelemberg, Anticipated regret, expected feedback and behavioral decision making, Journal of Behavioral Decision Making, vol.12, pp.93-106, 1999.

T. L. Boles and D. M. Messick, A reverse outcome bias: The influence of multiple reference points on the evaluation of outcomes and decisions' Organizational Behavior and Human Decision Processes, vol.61, pp.262-275, 1995.

K. Taylor, A regret theory approach to assessing consumer satisfaction', Marketing letters, vol.8, pp.229-238, 1997.

T. Rogoll and F. Piller, Product configuration from the customer's perspective: A comparison of configuration systems in the apparel industry, International Conference on Economic, Technical and Organisational aspects of Product Configuration Systems, 2004.

E. Tauber, Why do people shop?, The Journal of Marketing, vol.36, pp.46-49, 1972.
DOI : 10.2307/1250426

J. N. Sheth, An integrative theory of patronage preference and behavior. College of Commerce and Business Administration, 1981.

A. G. Parsons, Non-functional motives for online shoppers: why we click, Journal of Consumer Marketing, vol.19, pp.380-392, 2002.
DOI : 10.1108/07363760210437614

A. J. Rohm and V. Swaminathan, A typology of online shoppers based on shopping motivations, Journal of business research, vol.57, pp.748-757, 2004.
DOI : 10.1016/s0148-2963(02)00351-x

J. Alba, J. Lynch, B. Weitz, C. Janiszewski, R. Lutz et al., Interactive home shopping: consumer, retailer, and manufacturer incentives to participate in electronic marketplaces, The Journal of Marketing, vol.61, pp.38-53, 1997.
DOI : 10.1177/002224299706100303

M. R. Solomon, Consumer behavior: buying, having, and being, 2014.

R. Dholakia, Going shopping: key determinants of shopping behaviors and motivations, International Journal of Retail & Distribution Management, vol.27, pp.154-165, 1999.

S. Ward, Contributions of socialization theory to consumer behavior research, The American Behavioral Scientist, vol.21, 1978.
DOI : 10.1177/000276427802100404

J. N. Sheth and A. Parvatlyar, Relationship marketing in consumer markets: antecedents and consequences, Journal of the Academy of marketing Science, vol.23, pp.255-271, 1995.
DOI : 10.1177/009207039502300405

S. Ward, D. M. Klees, and D. B. Wackman, Consumer Socialization Research: Content Analysis of Post-1980 Studies, and Some Implications for Future Work, Advances in consumer research, vol.17, 1990.

S. Ward, D. M. Klees, and T. S. Robcnson, Consumer Socialization in Differcnt Settings: An lntemational Perspective, Advances in consumer research, vol.14, pp.468-72, 1987.

G. P. Moschis and G. A. Churchill, Consumer socialization: A theoretical and empirical analysis, Journal of marketing research, vol.15, pp.599-609, 1978.
DOI : 10.2307/3150629

F. D. Gregorio and Y. Sung, Understanding attitudes toward and behaviors in response to product placement, Journal of Advertising, vol.39, pp.83-96, 2010.

J. E. Lueg and R. Z. Finney, Interpersonal communication in the consumer socialization process: scale development and validation, Journal of Marketing Theory and Practice, vol.15, pp.25-39, 2007.

W. O. Bearden and M. J. Etzel, Reference group influence on product and brand purchase decisions, Journal of consumer research, vol.9, pp.183-194, 1982.
DOI : 10.1086/208911

S. Shim, J. Serido, and B. L. Barber, A consumer way of thinking: Linking consumer socialization and consumption motivation perspectives to adolescent development, Journal of Research on adolescence, vol.21, pp.290-299, 2011.

S. Okazaki, Social influence model and electronic word of mouth: PC versus mobile internet, International Journal of Advertising, vol.28, pp.439-472, 2009.

T. Hennig-thurau, E. C. Malthouse, C. Friege, S. Gensler, L. Lobschat et al., The impact of new media on customer relationships, Journal of service research, vol.13, pp.311-330, 2010.

B. Cova, R. Kozinets, and A. Shankar, Consumer tribes, 2012.
DOI : 10.4324/9780080549743

P. Nambisan and J. H. Watt, Managing customer experiences in online product communities, Journal of Business Research, vol.64, pp.889-895, 2011.
DOI : 10.1016/j.jbusres.2010.09.006

W. C. Martin, J. E. Lueg, and J. E. , Modeling word-of-mouth usage, Journal of Business Research, vol.66, pp.801-808, 2013.
DOI : 10.1016/j.jbusres.2011.06.004

J. Zhang and T. Daugherty, Third-person effect and social networking: implications for online marketing and word-of-mouth communication, American Journal of Business, vol.24, pp.53-64, 2009.

T. S. Teo and Y. D. Yeong, Assessing the consumer decision process in the digital marketplace, Omega, vol.31, pp.349-363, 2003.
DOI : 10.1016/s0305-0483(03)00055-0

R. D. Mersey, E. C. Malthouse, and B. J. Calder, Engagement with online media, Journal of Media Business Studies, vol.7, pp.39-56, 2010.

M. K. Ahuja and E. G. John, Socialization in virtual groups, Journal of Management, vol.29, pp.161-185, 2003.
DOI : 10.1016/s0149-2063(02)00213-1

A. D. Gershoff and G. V. Johar, Do you know me? Consumer calibration of friends' knowledge, Journal of Consumer Research, vol.32, pp.496-503, 2006.
DOI : 10.1086/500479

F. S. Fogliatto, G. J. Da-silveira, and D. Borenstein, The mass customization decade: an updated review of the literature, International Journal of Production Economics, vol.138, pp.14-25, 2012.

M. Heiskala, J. Tiihonen, K. S. Paloheimo, and T. Soininen, Mass customization with configurable products and configurators: a review of benefits and challenges, Mass Customization Information Systems in Business, pp.1-32, 2007.

A. Falkner, A. Felfernig, and A. Haag, Recommendation technologies for configurable products, vol.32, pp.99-108, 2011.

J. Tiihonen and A. Felfernig, Towards recommending configurable offerings, International Journal of Mass Customisation, vol.3, pp.389-406, 2010.

C. Forza and F. Salvador, Application support to product variety management, International Journal of Production Research, vol.46, pp.817-836, 2008.

C. Grosso, C. Trentin, and . Forza, Towards an understanding of how the capabilities deployed by a Web-based sales configurator can increase the benefits of possessing a mass-customized product, 16th International Configuration Workshop, vol.21, pp.81-88, 2014.

A. Trentin, E. Perin, and C. Forza, Increasing the consumerperceived benefits of a mass-customization experience through salesconfigurator capabilities, Computers in Industry, vol.65, pp.693-705, 2014.

N. Franke, M. Schreier, and U. Kaiser, The 'I designed it myself' effect in mass customization, Management Science, vol.56, pp.125-140, 2010.

N. Franke and F. T. Piller, Key research issues in user interaction with user toolkits in a mass customisation system, International Journal of Technology Management, vol.26, pp.578-599, 2003.

C. Huffman and B. E. Kahn, Variety for sale: mass customization or mass confusion?, Journal of Retailing, vol.74, pp.491-513, 1998.

A. Valenzuela, R. Dhar, and F. Zettelmeyer, Contingent response to self-customization procedures: implications for decision satisfaction and choice, Journal of Marketing Research, vol.46, pp.754-763, 2009.

G. Pires, J. Stanton, and A. Eckford, Influences on the perceived risk of purchasing online, Journal of Consumer Behaviour, vol.4, pp.118-131, 2004.

N. Franke and C. Hader, Mass or only "niche customization"? Why we should interpret configuration toolkits as learning instruments, Journal of Product Innovation Management, vol.31, pp.1214-1234, 2014.

P. Blazek, M. Kolb, M. Part, C. Streichsbier, and C. , The usage of social media applications in product con_gurators, International Journal of Industrial Engineering and Management, vol.3, pp.179-183, 2012.

F. T. Piller and P. Blazek, Core capabilities of sustainable mass customization, 2014.

F. T. Piller, A. Vossen, and C. Ih, From social media to social product development: the impact of social media on co-creation of innovation, Die Unternehmung, vol.65, 2012.

F. J. Fowler, Survey Research Methods, 1993.

A. Trentin, E. Perin, C. Forza, and C. , Sales configurator capabilities to avoid the product variety paradox: Construct development and validation, Computers in Industry, vol.64, pp.436-447, 2013.

O. Peters and S. B. Allouch, Always connected: a longitudinal field study of mobile communication, Telematics and Informatics, vol.22, pp.239-256, 2005.

M. M. Tso, D. J. Gillespie, and D. A. , Always on, always connected mobile computing'. In Universal Personal Communications, 5th IEEE International Conference, vol.2, pp.918-924, 1996.

J. Kubátová, Innovative managerial principles for current knowledge economy, Economics and Management, vol.17, pp.359-364, 2012.

A. Merle, J. Chandon, E. Roux, and F. Alizon, Perceived value of the mass-customized product and mass customization experience for individual consumers, vol.19, pp.503-514, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00585292

N. Franke and M. Schreier, Product uniqueness as a driver of customer utility in mass customization, Marketing Letters, vol.19, pp.93-107, 2008.

J. R. Rossiter, The C-OAR-SE procedure for scale development in marketing, International journal of research in marketing, vol.19, pp.305-335, 2002.

A. Diamantopoulos and J. A. Siguaw, Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration, British Journal of Management, vol.17, pp.263-282, 2006.

G. J. Fitzsimons, Consumer response to stockouts, Journal of Consumer Research, vol.27, pp.249-266, 2000.

C. N. Ziegler and J. Golbeck, Investigating interactions of trust and interest similarity', Decision Support Systems, vol.43, pp.460-475, 2007.

C. Grosso, C. Forza, and A. Trentin,

F. Salvador and C. Forza, Configuring products to address the customization-responsiveness squeeze: A survey of management issues and opportunities, International journal of production economics, vol.91, pp.273-291, 2004.

C. Forza and F. Salvador, Application support to product variety management, International Journal of Production Research, vol.46, pp.817-836, 2008.

A. Felfernig, G. E. Friedrich, and D. Jannach, UML as Domain Specific Language for the Construction of Knowledge-based Configuration Systems, International Journal of Software Engineering and Knowledge Engineering, vol.10, pp.449-469, 2000.

P. A. Konijnendijk, Coordinating marketing and manufacturing in ETO companies, International Journal of Production Economics, vol.37, pp.19-26, 1994.

C. Hicks, T. Mcgovern, and C. Earl, Supply chain management: A strategic issue in engineer to order manufacturing, International Journal of Production Economics, vol.65, pp.179-190, 2000.

N. H. Mortensen, L. Hvam, A. Haug, P. Boelskifte, C. Lindschou et al., Making Product Customization Profitable, International Journal of Industrial Engineering: Theory, Applications and Practice, vol.17, pp.25-35, 2010.

L. Ardissono, A. Felfernig, G. Friedrich, A. Goy, D. Jannach et al., A Framework for the Development of Personalized, Distributed Web-Based Configuration Systems, vol.24, pp.93-108, 2003.

L. Petnga and M. Austin, An ontological framework for knowledge modeling and decision support in cyber-physical systems, Advanced Engineering Informatics, vol.30, pp.77-94, 2016.

R. Klein, Customization and real time information access in integrated eBusiness supply chain relationships, Journal of Operations Management, vol.25, pp.1366-1381, 2007.

T. Blecker, N. Abdelkafi, G. Kreuter, and G. Friedrich, Product configuration systems: State-of-the-art, conceptualization and extensions, Génie logiciel & Intelligence artificielle, Eigth Maghrebian Conference on Software Engineering and Artificial Intelligence (MCSEAI), pp.25-36, 2004.

F. Piller, P. Blazek, ;. Felfernig, L. Hotz, C. Bagley et al., Core capabilities of sustainable mass customization, 107-120, Knowledge-Based Configuration From Research to Business Cases, 2014.

B. J. Pine, Mass customization: the new frontier in business competition, 1999.

F. Piller, K. Moeslein, and C. Stotko, Does mass customization pay? An economic approach to evaluate customer integration, vol.15, pp.435-444, 2004.

L. L. Zhang, Product configuration: a review of the state-of-the-art and future research, International Journal of Production Research, vol.52, pp.6381-6398, 2014.

L. Hvam, N. H. Mortensen, and J. Riis, Product customization, 2008.

J. Tiihonen, T. Soininen, T. Männistö, and R. Sulonen, State of the practice in product configuration-a survey of 10 cases in the finnish industry, Knowledge intensive CAD, pp.95-114, 1996.

C. Forza and F. Salvador, Product configuration and inter-firm coordination: an innovative solution from a small manufacturing enterprise, vol.49, pp.37-46, 2002.
DOI : 10.1016/s0166-3615(02)00057-x

URL : http://www.soberit.hut.fi/pdmg/IJCAI2001ConfWS/S/Forza.pdf

T. D. Petersen and ;. Blecker, Mass customization information systems in business, pp.59-76, 2007.

T. Soininen, J. Tiihonen, T. Männistö, and R. Sulonen, Towards a general ontology of configuration, AI EDAM, vol.12, pp.357-372, 1998.

C. Forza and F. Salvador, Managing for variety in the order acquisition and fulfilment process: The contribution of product configuration systems, International journal of production economics, vol.76, pp.87-98, 2002.

R. Handfield and E. Nichols, Introduction to supply chain management, NJ: prentice Hall, 1999.

G. Stevens, Integrating the supply chain, International Journal of Physical Distribution & Materials Management, vol.19, pp.3-8, 1989.

R. Metters, Quantifying the bullwhip effect in supply chains, Journal of operations management, vol.15, pp.89-100, 1997.
DOI : 10.1016/s0272-6963(96)00098-8

H. Lee, V. Padmanabhan, and S. Whang, Information distortion in a supply chain: The bullwhip effect', Management science, vol.50, pp.1875-1886, 2004.

M. Frohlich and R. Westbrook, Arcs of integration: an international study of supply chain strategies, Journal of operations management, vol.19, pp.185-200, 2001.

P. Hines, N. Rich, and J. Bicheno, Value stream management, The International Journal of Logistics Management, vol.9, pp.25-42, 1998.

R. Johnston and P. Lawrence, Beyond vertical integration-the rise of the value-adding partnership, Harvard business review, pp.94-101, 1991.

G. Ragatz, Success factors for integrating suppliers into new product development, Journal of product innovation management, vol.14, pp.190-202, 1997.
DOI : 10.1111/1540-5885.1430190

K. Kristjansdottir, S. Shafiee, M. Bonev, L. Hvam, M. H. Bennick et al.,

P. Tallon and K. Kraemer, Multidimensional Assessment of the Contribution of Information Technology to Firm Performance, Information Technology and Organizations, 1996.

J. Stroeken, Information technology, innovation and supply chain structure, International Journal of Services Technology and Management, vol.2, pp.269-288, 2001.

T. Mukhopadhyay and S. Kekre, Strategic and operational benefits of electronic integration in B2B procurement processes, Management Science, vol.48, pp.1301-1313, 2002.

K. C. Tan, Supply chain management: supplier performance and firm performance, Journal of Supply Chain Management, vol.34, issue.2, 1998.

S. Vickery and J. Jayaram, The effects of an integrative supply chain strategy on customer service and financial performance: an analysis of direct versus indirect relationships, Journal of operations management, vol.21, pp.523-539, 2003.

J. Galbraith, Organizational Design, 1977.

P. Milgrom and J. Roberts, The economics of modern manufacturing: Technology, strategy, and organization, The American Economic Review, pp.511-528, 1990.

E. Brynjolfsson and L. Hitt, Beyond computation: Information technology, organizational transformation and business performance, The Journal of Economic Perspectives, vol.14, pp.23-48, 2000.

L. Hvam, Mass customisation of process plants, International Journal of Mass Customisation, vol.1, pp.445-462, 2006.

K. Orsvarn, M. H. Bennick, ;. Felfernig, L. Hotz, C. Bagley et al., Tacton: use of Tacton configurator at FLSmidth, 211-218, Knowledge-Based Configuration From Research to Business Cases, 2014.

T. Achterberg and &. Scip, Solving Constraint Integer Programs, Mathematical Programming Computation, vol.1, issue.1, pp.1-41, 2009.

M. Aschinger, C. Drescher, and H. Vollmer, Luc de Raedt, volume 242 of Frontiers in artificial intelligence and applications, ECAI 2012, pp.73-78, 2012.

F. Baader, The Description Logic Handbook: Theory, Implementation, and Applications, 2003.

M. Balaban and A. Maraee, Consistency of UML Class Diagrams with Hierarchy Constraints', in Next Generation Information Technologies and Systems, Opher Etzion, Tsvi Kuflik, and Amihai Motro, vol.4032, pp.71-82, 2006.

M. Balaban and A. Maraee, Finite Satisfiability of UML Class Diagrams with Constrained Class Hierarchy, ACM Transactions on Software Engineering and Methodology, vol.22, issue.3, 2013.

D. Benavides, S. Segura, and A. Ruiz-cortés, Automated Analysis of Feature Models 20 Years Later: A Literature Review, Information Systems, vol.35, issue.6, pp.615-636, 2010.

J. Cabot, R. Clarisó, and D. Riera, UMLtoCSP: a Tool for the Formal Verification of UML/OCL Models Using Constraint Programming, Proceedings of the twentysecond IEEE/ACM international conference on Automated software engineering, pp.547-548, 2007.

M. Cadoli, G. De-giacomo, T. Mancini, and D. Calvanese, Finite Model Reasoning on UML Class Diagrams via Constraint Programming, Lecture Notes in Computer Science, vol.4733, pp.36-47, 2007.

D. Calvanese and M. Lenzerini, On the Interaction Between ISA and Cardinality Constraints, Tenth International Conference on Data Engineering, pp.204-213, 1994.

D. Costal, C. Gómez, and G. Guizzardi, Formal Semantics and Ontological Analysis for Understanding Subsetting, Specialization and Redefinition of Associations in UML, Lecture Notes in Computer Science, pp.189-203, 2011.

A. A. Falkner, I. Feinerer, G. Salzer, and G. Schenner, Computing product configurations via UML and integer linear programming', International Journal of Mass Customisation, vol.3, issue.4, pp.351-367, 2010.

A. A. Falkner and H. Schreiner, Siemens: Configuration and Reconfiguration in Industry, Alexander Felfernig, Lothar Hotz, Claire Bagley, and Juha Tiihonen, pp.199-210, 2014.

N. Farsiniamarj and V. Haarslev, Practical Reasoning with Qualified Number Restrictions: A Hybrid Abox Calculus for the Description Logic H, vol.23, pp.205-240, 2010.

I. Feinerer and G. Salzer, Numeric semantics of class diagrams with multiplicity and uniqueness constraints', Software & Systems Modeling, vol.13, pp.1167-1187, 2014.

A. Felfernig, G. E. Friedrich, and D. , UML as Domain Specific Language for the Construction of Knowledge-based Configuration systems, International Journal of Software Engineering and Knowledge Engineering, vol.10, issue.04, pp.449-469, 2000.

A. Haselböck, G. Schenner, and &. , , pp.263-269, 2014.

M. Lenzerini and P. Nobili, On the Satisfiability of Dependency Constraints in Entity-Relationship Schemata, Information Systems, vol.15, issue.4, pp.453-461, 1990.

A. Maraee, M. Balaban-;-david, H. Akehurst, R. Vogel, and R. F. Paige, Efficient Reasoning About Finite Satisfiability of UML Class Diagrams with Constrained Generalization Sets', in Model Driven Architecture-Foundations and Applications, Lecture Notes in Computer Science, vol.4530, pp.17-31, 2007.

N. Nethercote, P. J. Stuckey, R. Becket, S. Brand, G. J. Duck et al., Towards a Standard CP Modelling Language', in Principles and Practice of Constraint Programming-CP, Christian Bessiere, vol.4741, pp.23-27, 2007.

G. Niederbrucker, A Numeric Semantics for UML Class Diagrams: Methods and Tools, Diplomarbeit, 2010.

, Object Management Group. OMG Unified Modeling Language Version 2.5, 2015.

M. Stumptner, G. E. Friedrich, and A. Haselböck, Generative Constraint-Based Configuration of Large Technical Systems', Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol.12, issue.4, pp.1-27, 1998.

, GAMS/CPLEX 10 Solver Manual, GAMS Development Corporation

L. Alfieri, P. Perona, and P. Burlando, Optimal water allocation for an alpine hydropower system under changing scenarios', Water resources management, vol.20, pp.761-778, 2006.

C. Böhringer, The synthesis of bottom-up and top-down in energy policy modeling, Energy economics, vol.20, issue.3, pp.233-248, 1998.

, GAMS Development Corporation. General Algebraic Modeling System (GAMS) Release 24.2.1, 2013.

E. Fragniere and J. Gondzio, Optimization modeling languages', Handbook of Applied Optimization, pp.993-1007, 2002.

S. Guo, J. Chen, Y. Li, P. Liu, and T. Li, Joint operation of the multi-reservoir system of the three gorges and the qingjiang cascade reservoirs, pp.1036-1050, 2011.

A. Falkner, A. Haselboeck, G. Schenner, and H. Schreiner, Modeling and solving technical product configuration problems, pp.115-129, 2011.

M. Aschinger, C. Drescher, G. Friedrich, G. Gottlob, P. Jeavons et al., Optimization methods for the partner units problem, CPAIOR'11, pp.4-19, 2011.

M. Balduccini, Representing constraint satisfaction problems in answer set programming, ICLP09 Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP'09), 2009.

M. Balduccini, Industrial-size scheduling with asp+cp, Proceedings of the 11th Int. Conf. on Logic Programming and Nonmonotonic Reasoning, LPNMR'11, pp.284-296, 2011.

. Springer-verlag,

C. Drescher, The partner units problem: A constraint programming case study, ICTAI'12, 2012.

M. Gebser, B. Kaufmann, J. Romero, R. Otero, T. Schaub et al., Domain-specific heuristics in answer set programming, 27th AAAI Conf. (AAAI'13), pp.350-356, 2013.

M. Gebser, R. Kaminski, B. Kaufmann, and T. Schaub, Synthesis Lectures on Artificial Intelligence and Machine Learning, 2012.

M. Gelfond and V. Lifschitz, The stable model semantics for logic programming, Proceedings of the Fifth Int. Conf. and Symp. of Logic Progr. (ICLP'88), pp.1070-1080, 1988.

M. Gelfond and V. Lifschitz, The stable model semantics for logic programming, Proceedings of the Fifth International Conference and Symposium of Logic Programming (ICLP'88), pp.1070-1080, 1988.

D. William, M. L. Harvey, and . Ginsberg, Limited discrepancy search, Proceedings of the 13th International Joint Conf. on Artificial Intelligence, pp.607-613, 1995.

D. T. Matthew, T. Lewis, B. W. Schubert, and . Becker, Speedup techniques utilized in modern sat solvers, Proceedings of the 8th Int

, Conf. on Theory and Applications of Satisfiability Testing, SAT'05, pp.437-443, 2005.

Y. Lierler, S. Smith, M. Truszczynski, and A. Westlund, Weighted-sequence problem: Asp vs casp and declarative vs problem-oriented solving, Proceedings of the 14th Int. Conf. on Practical Aspects of Declarative Languages, PADL'12, pp.63-77, 2012.
DOI : 10.1007/978-3-642-27694-1_6

S. Veena, M. Mellarkod, Y. Gelfond, and . Zhang, Integrating answer set programming and constraint logic programming, Annals of Mathematics and Artificial Intelligence, vol.53, issue.1-4, pp.251-287, 2008.

S. Mittal and F. Frayman, Towards a generic model of configuraton tasks, 11th International Joint Conference on AI, vol.2, pp.1395-1401, 1989.

M. Ostrowski and T. Schaub, Asp modulo csp: The clingcon system', Theory Pract, Log. Program, vol.12, issue.4-5, pp.485-503, 2012.

T. Syrjänen, Cardinality constraint programs, JELIA 2004, vol.3229, pp.187-199

. Springer, , 2004.

E. Christian-teppan, Re-/configuring legacy instances of the partner units problem, International Conference on Tools with Artificial Intelligence (ICTAI'12), pp.154-161, 2012.

E. Christian-teppan, G. Friedrich, and A. Falkner, Quickpup: A heuristic backtracking algorithm for the partner units configuration problem, International Conference on Innovative Applications of AI (IAAI'12), pp.2329-2334, 2012.

E. Christian-teppan, G. Friedrich, and G. Gottlob, Tractability frontiers of the partner units configuration problem, Journal of Computer and System Sciences, 2016.

A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, Knowledge-based Configuration: From Research to Business Cases, 2014.

A. Felfernig, K. Isak, K. Szabo, and P. Zachar, The VITA Financial Services Sales Support Environment, AAAI/IAAI 2007, pp.1692-1699, 2007.

, Each entry represents a group decision task-the corresponding percentages indicate the share of users who already articulated their requirements

A. Felfernig, M. Stettinger, G. Ninaus, M. Jeran, S. Reiterer et al., Towards open configuration, 16th Intl Workshop on Configuration, pp.89-94, 2014.

A. Felfernig, C. Zehentner, G. Ninaus, H. Grabner, W. Maaleij et al., Group Decision Support for Requirements Negotiation, Advances in User Modeling, vol.7138, pp.105-116, 2012.

G. Fleischanderl, G. E. Friedrich, A. Haselböck, H. Schreiner, and M. Stumptner, Configuring large systems using generative constraint satisfaction, IEEE Intelligent Systems, vol.13, issue.4, pp.59-68, 1998.

T. Greitemeyer and S. Schulz-hardt, Preference-consistent evaluation of information in the hidden profile paradigm: Beyond group-level explanations for the dominance of shared information in group decisions, Jrnl of Personality & Soc Psychology, vol.84, issue.2, pp.332-339, 2003.

A. Haag, Sales Configuration in Business Processes, IEEE Intelligent Systems, vol.13, issue.4, pp.78-85, 1998.

A. Jameson, S. Baldes, and T. Kleinbauer, Two methods for enhancing mutual awareness in a group recommender system, ACM Intl. Working Conf. on Advanced Vis. Interf, pp.48-54, 2004.

D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich, Recommender Systems-An Introduction, 2010.

U. Junker, QuickXPlain: Preferred Explanations and Relaxations for Over-Constrained Problems, 19th National Conference on AI (AAAI04), pp.167-172, 2004.

J. Masthoff, Group modeling: Selecting a sequence of television items to suit a group of viewers, vol.14, pp.37-85, 2004.

J. Masthoff, Group recommender systems', Recommender Systems Handbook, pp.677-702, 2011.

R. Reiter, A theory of diagnosis from first principles, AI Journal, vol.23, issue.1, pp.57-95, 1987.

K. Schmid, Scoping software product lines', in Software Product Lines-Experience and Research Directions, pp.513-532, 2000.

M. Stettinger, Choicla: Towards domain-independent decision support for groups of users, 8th ACM Conference on Recommender Systems, pp.425-428, 2014.

M. Stumptner, An overview of knowledge-based configuration, AICOM, vol.10, issue.2, pp.111-125, 1997.

E. Tsang, Foundations of Constraint Satisfaction, 1993.

H. Andersen, An introduction to binary decision diagrams', in Lecture Notes for Efficient Algorithms and Programs, pp.1-35, 1999.

L. Atzori, A. Iera, and G. Morabito, The Internet of Things: A survey, Computer Networks, vol.54, issue.15, pp.2787-2805, 2010.

A. Falkner, H. Schreiner, ;. Felfernig, L. Hotz, C. Bagley et al., SIEMENS: Configuration and Reconfiguration in Industry', in Knowledge-based Configuration-From Research to Business Cases, pp.199-210, 2014.

A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner, Consistency-based diagnosis of configuration knowledge bases, Artificial Intelligence, vol.152, issue.2, pp.213-234, 2004.

A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker, An environment for the development of knowledge-based recommender applications, International Journal of Electronic Commerce (IJEC), vol.11, issue.2, pp.11-34, 2006.

A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, Knowledge-based Configuration: From Research to Business Cases, 2014.

A. Felfernig, P. Seda, A. Erdeniz, and . Akcay,

A. Felfernig, M. Schubert, and C. Zehentner, An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets, Artificial Intelligence for Engineering Design, vol.25, issue.2, pp.175-184, 2011.

A. Felfernig, R. Walter, and S. Reiterer, FlexDiag: AnyTime Diagnosis for Reconfiguration, 16th International Workshop on Configuration, pp.105-110, 2015.

G. Fleischanderl, G. Friedrich, A. Haselböck, H. Schreiner, and M. Stumptner, Configuring large systems using generative constraint satisfaction, IEEE Intelligent Systems, vol.13, issue.4, pp.59-68, 1998.

Y. Jia and M. Harman, An Analysis and Survey of the Development of Mutation Testing, IEEE Transactions on Software Engineering, vol.37, issue.5, pp.649-678, 2011.

T. Krebs, L. Hotz, and A. Günter, Knowledge-based Configuration for Configuring Combined Hardware/Software Systems, Proceedings of PuK'2002, pp.1-6, 2002.

J. Marques-silva, F. Heras, M. Janota, A. Previti, and A. Belov, On computing minimal correction subsets, IJCAI, pp.615-622, 2013.

V. Myllärniemi, J. Tiihonen, M. Raatikainen, and A. Felfernig, Using answer set programming for feature model representation and configuration, Workshop on Configuration, pp.1-8, 2014.

C. Perera, C. Liu, and S. Jayawardena, The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey, IEEE Transactions on Emerging Topics in Computing, vol.3, issue.4, pp.585-598, 2015.

C. Perera, A. Zaslavsky, M. Compton, P. Christen, and D. Georgakopoulos, Semantic-driven configuration of internet of things middleware, 9th International Conference on Semantics, Knowledge & Grids (SKG), pp.66-73, 2013.

R. Reiter, A theory of diagnosis from first principles, Artificial Intelligence, vol.32, issue.1, pp.57-95, 1987.

D. Sabin and R. Weigel, Product configuration frameworksa survey, IEEE Intelligent Systems, vol.13, issue.4, pp.42-49, 1998.

M. Stumptner, An overview of knowledge-based configuration, AICOM, vol.10, issue.2, pp.111-125, 1997.

J. Tiihonen and A. Felfernig, Towards Recommending Configurable Offerings, International Journal of Mass Customization, vol.3, issue.4, pp.389-406, 2010.

E. Tsang, Foundations of Constraint Satisfaction, 1993.

R. Walter, A. Felfernig, and W. Küchlin, Constraint-based and satbased diagnosis of automotive configuration problems, Journal of Intelligent Information Systems, pp.1-32, 2016.

D. Winterfeldt and W. Edwards, Decision Analysis and Behavioral Research, 1986.

S. L. Vargo and R. F. Lusch, Evolving To A New Dominant Logic for Marketing, J. Mark, 2004.

F. T. Piller, Mass Customization: Reflections on the State of the Concept, Int. J. Flex. Manuf. Syst, vol.16, issue.4, pp.313-334, 2004.

C. Baldwin, Baldwin, Clarc (1997) Design Rules Volume 1, The Power of Modularity.pdf, 1997.

A. Lubarski and J. Pöppelbuß, Methods for service modularizationa systematization framework, Proceedings of the Pacific Asia Conference on Information Systems, 2016.

E. D. Arnheiter and H. Harren, Quality management in a modular world, TQM Mag, vol.18, issue.1, pp.87-96, 2006.

A. Smirnov, A. Kashevnik, N. Shilov, A. Oroszi, S. Mario et al., Changing Business Information Systems for Innovative Configuration Processes, 2015.

D. Sabin and R. Weigel, Product configuration frameworks-a survey, IEEE Intell. Syst, vol.13, issue.4, pp.42-49, 1998.

R. Dörbecker and T. Böhmann, The Concept and Effects of Service Modularity-A Literature Review, pp.1357-1366, 2013.

T. Tuunanen, A. Bask, and H. Merisalo-rantanen, Typology for Modular Service Design: Review of Literature, Int. J. Serv. Sci. Manag. Eng. Technol, vol.3, issue.3, p.2012

P. Carlborg and D. Kindström, Service process modularization and modular strategies, J. Bus. Ind. Mark, vol.29, issue.4, pp.313-323, 2014.
DOI : 10.1108/jbim-08-2013-0170

A. Bask, M. Lipponen, M. Rajahonka, and M. Tinnilä, The concept of modularity: diffusion from manufacturing to service production

, J. Manuf. Technol. Manag, vol.21, issue.3, pp.355-375, 2010.

Y. Lin, J. Luo, and L. Zhou, Modular logistics service platform, Service Operations and Logistics and Informatics (SOLI), 2010 IEEE International Conference on, pp.200-204, 2010.

S. Pekkarinen and P. Ulkuniemi, Modularity in developing business services by platform approach, Int. J. Logist. Manag, vol.19, issue.1, pp.84-103, 2008.

T. Bohmann and K. Loser, Towards a service agility assessmentModeling the composition and coupling of modular business services, Seventh IEEE International Conference on, pp.140-148, 2005.

A. Bask, M. Lipponen, M. Rajahonka, and M. Tinnilä, Modularity in logistics services: a business model and process view, Int. J. Serv

, Oper. Manag, vol.10, issue.4, pp.379-399, 2011.

F. Müller and A. Lubarski, School of thought in service modularity, Proceedings of the European Conference on Information Systems (ECIS), 2016.

R. Dörbecker, O. Tokar, D. Heddaeus, and T. Böhmann, Evaluation der Multiple Domain Matrix Methode zur Modularisierung von Dienstleistungen am Beispiel eines Versorgungsnetzwerks für psychische Erkrankungen, 2014.

Y. Lin and S. Pekkarinen, QFD-based modular logistics service design, J. Bus. Ind. Mark, vol.26, issue.5, pp.344-356, 2011.
DOI : 10.1108/08858621111144406

C. Peters and J. M. Leimeister, TM3-A Modularization Method for Telemedical Services: Design and Evaluation, Proceedings of 21st European Conference on Information Systems (ECIS), 2013.

C. De-blok, K. Luijkx, B. Meijboom, and J. Schols, Modular care and service packages for independently living elderly, Int. J. Oper

, Prod. Manag, vol.30, issue.1, pp.75-97, 2010.

A. Lubarski and J. Pöppelbuß, Modularization of Logistics Services-An Investigation of the Status Quo, presented at the 5th International Conference on Dynamics in Logistics, 2016.

R. K. Yin, Case study research: Design and methods, 2013.

L. Zhang and X. Chen,

A. Trentin, E. Perin, and C. Forza, Product configurator impact on product quality, International Journal of Production Economics, vol.135, pp.850-859, 2012.

D. W. Franke, Configuration research and commercial solutions', Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol.12, issue.04, pp.295-300, 1998.

L. L. Zhang, Product configuration: a review of the state-of-the-art and future research, International Journal of Production Research, vol.52, issue.21, pp.6381-6398, 2014.

C. Forza, S. , and F. , Managing for variety in the order acquisition and fulfilment process: The contribution of product configuration systems, International Journal of Production Economics, vol.76, pp.87-98, 2002.

A. Haug, L. Hvam, and N. H. Mortensen, The impact of product configurators on lead times in engineering-oriented companies', Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol.25, issue.2, pp.197-206, 2011.

C. Forza, S. , and F. , Product configuration and inter-firm coordination: an innovative solution from a small manufacturing enterprise, Computers in Industry, vol.49, pp.37-46, 2002.

F. Salvador and C. Forza, Configuring products to address the customization-responsiveness squeeze: A survey of management issues and opportunities, International Journal of Production Economics, vol.91, issue.3, pp.273-291, 2004.

M. Aldanondo, S. Rouge, and M. Ve, Expert configurator for concurrent engineering: Cameleon software and model, Journal of Intelligent Manufacturing, issue.11, pp.127-134, 2000.
URL : https://hal.archives-ouvertes.fr/hal-01703133

S. Mittal, F. Frayman, and N. S. Sridharan, Towards a generic model of configuration tasks, Proceedings of the 11th International Joint Conference on Artificial Intelligence, pp.1395-1401, 1989.

D. Sabin and R. Weigel, Product configuration frameworks-a survey, IEEE Intelligent Systems, vol.13, issue.4, pp.42-49, 1998.

L. L. Zhang, X. Chen, A. Falkner, C. , and C. , Open Configuration: a New Approach to Product Customization, Proceedings of the 16th Workshop on Configuration, pp.75-79, 2014.

R. Buyya, C. S. Yeo, and S. Venugopal, Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility, Future Generation Computer Systems, vol.25, issue.6, pp.599-616, 2009.

F. S. Al-anzi, A. A. Salman, and N. K. Jacob, New proposed robust, scalable and secure network cloud computing storage architecture, Journal of Software Engineering and Applications, issue.7, p.347, 2014.

I. Hernández, S. Sawicki, and F. Roos-frantz, Cloud configuration modelling: a literature review from an application integration deployment perspective, vol.64, pp.977-983, 2015.

P. Zheng, Y. Lu, and X. Xu, A system framework for OKP product planning in a cloud-based design environment, 2016.

Q. Zhang, L. Cheng, and R. Boutaba, Cloud computing: state-of-the-art and research challenges, Journal of Internet Services and Applications, issue.1, pp.7-18, 2010.

D. Nurmi, R. Wolski, and C. Grzegorczyk, The eucalyptus open-source cloud-computing system, Proceedings of the 9th

, IEEE/ACM International Symposium on Cluster Computing and the Grid, pp.124-131, 2009.

O. Shcherbina, , 2009.

F. Domes, M. Fuchs, H. Schichl, and A. Neumaier, The Optimization Test Environment, Optimization and Engineering, vol.15, pp.443-468, 2014.

H. Mittelmann, , 2009.

J. C. Gilbert and X. Jonsson, LIBOPT-An environment for testing solvers on heterogeneous collections of problems-The manual, version 2.1, INRIA, 2009.

O. Shcherbina, A. Neumaier, D. Sam-haroud, X. Vu, and T. Nguyen, Benchmarking global optimization and constraint satisfaction codes, Global Optimization and Constraint Satisfaction, pp.211-222, 2003.

L. Pál and T. Csendes, Mihály Csaba Markót, and Arnold Neumaier Black Box Optimization Benchmarking of the GLOBAL

P. Pitiot, L. I. Garcés-monge, É. Vareilles, and M. A. Method, Evolutionary Computation, vol.20, issue.4, pp.609-639, 2012.

A. Auger and R. Ros, Benchmarking the pure random search on the BBOB-2009 testbed, pp.2479-2484, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00430532

J. Amilhastre, H. Fargier, and P. Marquis, Consistency restoration and explanations in dynamic csp's-application to configuration, Artificial Intelligence, vol.135, pp.199-234, 2002.

A. Kaiser, K. Wolfgang, and S. Carsten, Formal methods for the validation of automotive product configuration data. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol.17, issue.2, 2003.

C. Sinz, A. Kaiser, and W. Küchlin, Formal methods for the validation of automotive product configuration data. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol.17, pp.75-97, 2003.

R. Jensen and S. Lars, Power Supply Restoration, Master's thesis, 2005.

S. Han and J. Lee, Knowledge-based configuration design of a train bogie, Journal of Mechanical Science and Technology, vol.24, pp.2503-2510, 2011.

. Subbarayan, , 2006.

P. Pitiot, M. Aldanondo, E. Vareilles, P. Gaborit, M. Djefel et al., Concurrent product configuration and process planning, towards an approach combining interactivity and optimality, vol.51, pp.524-541, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01599437

V. Viswanathan and J. Linsey, Spanning the complexity chasm: A re-search approach to move from simple to complex engineering systems, AI EDAM, vol.28, issue.4, pp.369-384, 2014.

I. Tumer and K. Lewis, Design of complex engineered systems, Artificial Intelligence for Engineering Design, vol.28, pp.307-309, 2014.

S. Mittal and F. Frayman, Towards a generic model of configuration tasks, proc of IJCAI, pp.1395-1401, 1989.

T. Soininen, J. Tiihonen, T. Männistö, and R. Sulonen, Towards a General Ontology of Con-figuration., Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol.12, pp.357-372, 1998.

M. Aldanondo and E. Vareilles, Configuration for mass customization: how to extend prod-uct configuration towards requirements and process con-figuration, Journal of Intelligent Manufacturing, vol.19, pp.521-535, 2008.

P. Hofstedt and D. Schnee-weiss, FdConfig: A Constraint-Based Interactive Product Configurator, 19th International Conference on Applications of Declarative Programming and Knowledge Management, 2011.

K. Schierholt, Process configuration: combining the principles of product configuration and process planning AI EDAM, vol.15, pp.411-424, 2001.

R. Barták, M. Salido, and F. Rossi, Con-straint satisfaction techniques in planning and scheduling, Journal of Intelligent Manufacturing, vol.21, pp.5-15, 2010.

L. Zhang, E. Vareilles, and M. Aldanondo, Generic bill of functions, materials, and operations for SAP2 configuration, I.J. of Production Research, vol.51, issue.2, pp.465-478, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01773873

D. Baxter, An engineering design knowledge reuse methodology using process modelling, vol.18, pp.37-48, 2007.

G. Hong, D. Xue, and Y. Tu, Rapid identification of the optimal product configuration and its parameters based on customer-centric product modeling for one-of-a-kind production, Computers in Industry, vol.61, issue.3, pp.270-279, 2010.

L. Li, L. Chen, Z. Huang, and Y. Zhong, Product configuration optimization using a multiobjective GA, I.J. of Adv. Manufacturing Technology, vol.30, pp.20-29, 2006.

H. Huang and Y. Gu, Development mode based on integration of product models and process models, Concurrent Engineering: Research and Applications, vol.14, pp.27-34, 2006.

U. Junker, Handbook of Constraint Programming, pp.835-875, 2006.

P. Laborie, Algorithms for propagating resource constraints in AI planning and scheduling: Existing approaches and new results, Artificial Intelligence, vol.143, pp.151-188, 2003.

A. Kaiser, K. Wolfgang, and S. Carsten, Proving consistency assertions for automotive product data management, J. Automated Reasoning, vol.24, issue.1-2, pp.145-163, 2000.

E. Mezura-montes and C. C. Coello, Constraint-Handling in NatureInspired Numerical Optimization: Past, Present and Future, Swarm and Evolutionary Computation, vol.1, issue.4, pp.173-194, 2011.

N. P. Suh, Axiomatic Design: Advances and Applications, 2001.

. Steward, The Design Structure System: A Method for Managing the Design of Complex Systems, IEEE Transactions on Engineering Management, vol.28, issue.3, 1981.

D. Le-berre and A. Parrain, The sat4j library, release 2.2, system description, Journal on Satisfiability, Boolean Modeling and Computation, vol.7, pp.59-64, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00868136

K. Czarnecki, S. Helsen, and U. Eisenecker, Formalizing Cardinalitybased Feature Models and their Specialization, Software Process: Improvement and Practice, vol.10, pp.7-29, 2005.

J. Juan, A. Durillo, and . Nebro, jMetal: A Java framework for multi-objective optimization, Advances in Engineering Software, vol.42, pp.760-771, 2011.

J. Guo, J. White, G. Wang, J. Li, and Y. Wang, A genetic algorithm for optimized feature selection with resource constraints in software product lines, Journal of Systems and Software, vol.84, issue.12, pp.2208-2221, 2011.

C. Henard and M. Papadakis, Combining multi-objective search and constraint solving for configuring large software product lines, ICSE' 15 Proceedings of the 37th International Conference on Software Engineering, pp.517-528, 2015.

M. Robert-m-hierons, X. Li, S. Liu, W. Segura, and . Zheng, SIP: Optimal Product Selection from Feature Models Using Many-Objective Evolutionary Optimization, ACM Transactions on Software Engineering and Methodology, vol.25, issue.2, pp.1-39, 2016.

L. Hotz, A. Felfernig, M. Stumptner, A. Ryabokon, C. Bagley et al., Configuration Knowledge Representation & Reasoning', in Knowledge-based Configuration-From Research to Business Cases, vol.6, pp.59-96, 2013.

K. Kang, P. Lee, and . Donohoe, Feature-Oriented Product Line Engineering, IEEE Software, vol.19, issue.4, pp.58-65, 2002.

X. Lian and L. Zhang, Optimized feature selection towards functional and non-functional requirements in Software Product Lines, 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER), pp.191-200, 2015.

P. Pitiot, M. Aldanondo, E. Vareilles, T. Coudert, and P. Gaborit, Improving configuration and planning optimization: Towards a two tasks approach, 15 th International Configuration Workshop, pp.35-40, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01847753

F. Rossi, P. Van-beek, and T. Walsh, Handbook of Constraint Programming, 2006.

A. S. Sayyad, H. Menzies, and . Ammar, On the value of user preferences in search-based software engineering: a case study in software product lines, ICSE '13 Proceedings of the 2013 International Conference on Software Engineering, pp.492-501, 2013.

S. Soltani, M. Asadi, and D. Ga?evi´ga?evi´c, Automated planning for feature model configuration based on functional and non-functional requirements, SPLC'12, pp.56-65, 2012.

. El-ghazali and . Talbi, Metaheuristics: From Design to Implementation, 2009.

Y. Tian-huat-tan, M. Xue, J. Chen, Y. Sun, J. S. Liu et al., Optimizing selection of competing features via feedback-directed evolutionary algorithms, Proceedings of the 2015 International Symposium on Software Testing and Analysis-ISSTA 2015, pp.246-256, 2015.

E. Tsang, Foundations of Constraint Satisfaction, 1993.

J. White, B. Dougherty, and D. C. Schmidt, Selecting highly optimal architectural feature sets with Filtered Cartesian Flattening, Journal of Systems and Software, vol.82, issue.8, pp.1268-1284, 2009.

X. Yu and M. Gen, Introduction to Evolutionary Algorithms, Decision Engineering, 2010.

M. Aldanondo, A. F. Barco, E. Vareilles, M. Falcon, P. Gaborit et al., Towards a bim approach for a high performance renovation of apartment buildings', in Product Lifecycle Management for a Global Market, Shuichi Fukuda, Alain Bernard, Balan Gurumoorthy, and Abdelaziz Bouras, vol.442, 2014.

A. F. Barco, E. Vareilles, M. Aldanondo, P. Gaborit, ;. Felfernig et al., Calpinator: A configuration tool for building facades, Proceedings of the 16th International Configuration Workshop, vol.1220, pp.47-54, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01684137

A. F. Barco, E. Vareilles, M. Aldanondo, P. Gaborit, and J. G. Fages, Coupling two constraint-based systems into an on-line facade-layout configurator, Proceedings of the 17th International Configuration Workshop, pp.47-54, 2015.

A. Dix, J. E. Finlay, G. D. Abowd, and R. Beale, Human-Computer Interaction, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01572646

A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, Knowledge-based Configuration: From Research to Business Cases, 2014.

E. Gelle and R. Weigel, chapter Interactive Configuration based on Incremental Constraint Satisfaction, vol.1, pp.127-136, 1996.

, 2D view of original façade

, Well-configured panel

, Panel with installation conflicts

, Well-configured panels (insulating envelope)

, Figure 2. Demonstration: System actions through normal execution

D. Glover, D. Miller, D. Averis, and V. Door, The interactive whiteboard: a literature survey, Technology, Pedagogy and Education, vol.14, issue.2, pp.155-170, 2005.

V. B. Godin, Interactive scheduling: Historical survey and state of the art, A I I E Transactions, vol.10, issue.3, pp.331-337, 1978.

J. Jankowski and M. Hachet, A Survey of Interaction Techniques for Interactive 3D Environments, Eurographics 2013-STAR, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00789413

R. S. Liggett, Automated facilities layout: past, present and future', Automation in Construction, vol.9, pp.197-215, 2000.

L. D. Paulson, Building rich web applications with ajax, Computer, vol.38, issue.10, pp.14-17, 2005.

D. Schneeweiss and P. Hofstedt, Applications of Declarative Programming and Knowledge Management: 19th International Conference, INAP 2011, and 25th Workshop on Logic Programming, pp.239-255, 2011.

W. S. Shin and A. Ravindran, Interactive multiple objective optimization: Survey icontinuous case, Computers & Operations Research, vol.18, issue.1, pp.97-114, 1991.

E. Vareilles, C. Thuesen, M. Falcon, and M. Aldanondo, Interactive configuration of high performance renovation of apartment buildings by the use of CSP, Michel Aldanondo and Andreas A. Falkner, volume 1128 of CEUR Workshop Proceedings, pp.29-34, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01847752

M. Aldanondo and E. Vareilles, Configuration for mass customization: how to extend product configuration towards requirements and process configuration, Journal of Intelligent Manufacturing, vol.19, issue.5, pp.521-535, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01599442

S. Anand, E. Burke, T. Chen, J. Clark, M. Cohen et al., An orchestrated survey of methodologies for automated software test case generation, Journal of Systems and Software, vol.86, issue.8, 1978.

D. Benavides, S. Segura, and A. Ruiz-cortez, Automated analysis of feature models 20 years later: A literature review, Information Systems, vol.35, issue.6, pp.615-636, 2010.

A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, Knowledge-based Configuration: From Research to Business Cases, 2014.

A. Felfernig, M. Jeran, T. Ruprechter, A. Ziller, S. Reiterer et al., Learning games for configuration and diagnosis tasks, 16th International Workshop on Configuration, pp.111-114, 2015.

A. Felfernig, S. Reiterer, M. Stettinger, and J. Tiihonen, Towards understanding cognitive aspects of configuration knowledge formalization, pp.117-124, 2015.

B. J. Fogg, Persuasive Technology, 2003.

C. Gütl, K. Lankmayr, J. Weinhofer, and M. Höfler, Enhanced automatic question creator eaqc: Concept, development and evaluation of an automatic test item creation tool to foster modern e-education, Electronic Journal of e-Learning, vol.9, 2011.

L. Hvam, N. Mortensen, and J. Riis, Product Customization, 2010.

D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich, Recommender Systems: An Introduction, 2010.
DOI : 10.1017/cbo9780511763113

U. Junker, Quickxplain: Preferred explanations and relaxations for overconstrained problems, 19th National Conference on Artificial Intelligence (AAAI04), pp.167-172, 2004.

S. Rakangor and Y. Ghodasara, Literature review of automatic question generation systems, International Journal of Scientific and Research Publications, vol.5, 2015.

R. Reiter, A theory of diagnosis from first principles, AI Journal, vol.23, issue.1, pp.57-95, 1987.
DOI : 10.1007/3-540-16780-3_87

URL : http://www.cs.kun.nl/%7Epeterl/teaching/KeR/Theorist/reiteraij87.pdf

A. Felfernig, S. Reiterer, M. Stettinger, F. Reinfrank, M. Jeran et al., Recommender systems for configuration knowledge engineering, Workshop on Configuration, pp.51-54, 2013.

M. Stumptner, An Overview of Knowledge-based Configuration, Communications, vol.10, issue.2, pp.111-126, 1997.

D. Zhang and J. Nunamaker, Powering E-Learning In the New Millenium: An Overview of E-Learning and Technology, Information Systems Frontiers, vol.5, issue.2, pp.207-218, 2003.

A. Biere, M. Heule, and H. Van-maaren, Handbook of Satisfiability: Handbook of Satisfiability, volume v.185 of Frontiers in artificial intelligence and applications, 2009.

K. Chelst, J. Kuechlin, A. Wolfgangsidelko, J. Przebienda, D. Lockledge et al., Rightsizing and Management of Prototype Vehicle Testing at Ford Motor Company', Interfaces, vol.31, pp.91-107, 2001.
DOI : 10.1287/inte.31.1.91.9687

U. Clausen and J. Weber, Prototypenplanung im nutzfahrzeugbau, vol.108, pp.740-744, 2006.
DOI : 10.1007/bf03221818

U. Feige, A threshold of ln n for approximating set cover, J. ACM, vol.45, issue.4, pp.634-652, 1998.

A. Kübler, C. Zengler, and W. Küchlin, Model counting in product configuration, Proceedings First International Workshop on Logics for Component Configuration, pp.44-53, 2010.

K. Limtanyakul, Scheduling of tests on vehicle prototypes, 2009.
DOI : 10.1007/978-3-540-77903-2_65

R. Martins, V. Manquinho, and I. Lynce, Theory and Applications of Satisfiability Testing-SAT 2014: 17th International Conference, Held as Part of the Vienna Summer of Logic, Proceedings, chapter wbo WBO: A Modular MaxSAT Solver, pp.438-445, 2014.

A. David, S. Plaisted, and . Greenbaum, A structure-preserving clause form translation, J. Symb. Comput, vol.2, issue.3, pp.293-304, 1986.

R. Tilak, N. Singh, and . Rangaraj, Generation of predictive configurations for production planning', 15 th International Configuration Workshop, vol.79, 2013.

R. Tilak, N. Singh, and . Rangaraj, Optimization based framework for transforming automotive configurations for production planning, Configuration Workshop, pp.31-38, 2014.

C. Sinz, Baubarkeitsprüfung von Kraftfahrzeugen durch automatisches Beweisen, Diplomarbeit, 1997.

P. Slavík, A tight analysis of the greedy algorithm for set cover, Proceedings of the Twenty-eighth Annual ACM Symposium on Theory of Computing, STOC '96, pp.435-441, 1996.

R. Walter, T. Kübart, and W. Küchlin, Optimal Coverage in Automotive Configuration, pp.611-626, 2016.

R. Walter and W. Küchlin, Remax-a maxsat aided product (re-) configurator, Proceedings of the 16th International Configuration Workshop, CEUR Workshop Proceedings, vol.1220, pp.59-66, 2014.