Risk Probability Assessment Model Based on PLM’s Perspective Using Modified Markov Process

Abstract : The management of the supply chain in presence of uncertainty is a challenge task. This paper proposes a stochastic model for modeling both the structure and the operation of the supply chain. Existing approaches for this task are either deterministic or single level structure which might not be appropriate to capture the essences of the supply chain. The proposed method employs the Markov chain model as the foundation and incorporate the concept of multi-level. The levels are used to model both the internal events and the external events. In the proposed method, the product life cycle management is used as a guiding principle to identify each component of the supply chain.
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Communication dans un congrès
Abdelaziz Bouras; Benoit Eynard; Sebti Foufou; Klaus-Dieter Thoben. 12th IFIP International Conference on Product Lifecycle Management (PLM), Oct 2015, Doha, Qatar. IFIP Advances in Information and Communication Technology, AICT-467, pp.66-73, 2016, Product Lifecycle Management in the Era of Internet of Things. 〈10.1007/978-3-319-33111-9_7〉
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Siravat Teerasoponpong, Apichat Sopadang. Risk Probability Assessment Model Based on PLM’s Perspective Using Modified Markov Process. Abdelaziz Bouras; Benoit Eynard; Sebti Foufou; Klaus-Dieter Thoben. 12th IFIP International Conference on Product Lifecycle Management (PLM), Oct 2015, Doha, Qatar. IFIP Advances in Information and Communication Technology, AICT-467, pp.66-73, 2016, Product Lifecycle Management in the Era of Internet of Things. 〈10.1007/978-3-319-33111-9_7〉. 〈hal-01377429〉

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