A risk assessment model for supply chain design. Implementation at Kuehne + Nagel Luxembourg

Anne Winter 1 Ioana Deniaud 1 François Marmier 2 Emmanuel Caillaud 3
1 BETA - Bureau d'Économie Théorique et Appliquée
2 CGI - Centre Génie Industriel
3 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie
Abstract : Every company may be located at the junction of several Supply Chains (SCs) to meet the requirements of many different end customers. To achieve a sustainable competitive advantage over its business rivals, a company needs to continuously improve its relations to its different stakeholders as well as its performance in terms of integrating its decision processes and hence, its communication and information systems. Furthermore, customers' growing awareness of green and sustainable matters and new national and international regulations force enterprises to rethink their whole system. In this paper we propose a model to quantify the identified potential risks to assist in designing or re-designing a supply chain. So that managers may take adequate decisions to have the continuing ability of satisfying customers' requirements. A case study, developed at kuehne + nagel Luxembourg is provided.
Keywords : Supply Chain Sustainability Indicators Logistics Performance Risk Management
Document type :
Conference papers
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https://hal-mines-albi.archives-ouvertes.fr/hal-01822859
Contributor : Imt Mines Albi Ecole Nationale Supérieure Des Mines d'Albi-Carmaux <>
Submitted on : Monday, June 25, 2018 - 3:07:54 PM
Last modification on : Friday, December 14, 2018 - 10:04:26 AM

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MINES-ALBI | CGI | INRA | UNIV-LORRAINE | INC-CNRS | SITE-ALSACE | BETA | INSA-STRASBOURG | INSA-GROUPE

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Anne Winter, Ioana Deniaud, François Marmier, Emmanuel Caillaud. A risk assessment model for supply chain design. Implementation at Kuehne + Nagel Luxembourg. 2018 4th International Conference on Logistics Operations Management (GOL), Apr 2018, Le Havre, France. p.1-8, ⟨10.1109/GOL.2018.8378084⟩. ⟨hal-01822859⟩

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