Risk Probability Assessment Model Based on PLM’s Perspective Using Modified Markov Process - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2016

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

Siravat Teerasoponpong
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Apichat Sopadang
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Résumé

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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Dates et versions

hal-01377429 , version 1 (07-10-2016)

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Siravat Teerasoponpong, Apichat Sopadang. Risk Probability Assessment Model Based on PLM’s Perspective Using Modified Markov Process. 12th IFIP International Conference on Product Lifecycle Management (PLM), Oct 2015, Doha, Qatar. pp.66-73, ⟨10.1007/978-3-319-33111-9_7⟩. ⟨hal-01377429⟩
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