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

  • Siravat TeerasoponpongEmail author
  • Apichat Sopadang
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 467)

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.

Keywords

Product life cycle management Supply chain uncertainty Modified Markov process Stochastic process Risk assessment 

Notes

Acknowledgments

This research has been supported by the Excellence Center in Logistics and Supply Chain Management, Chiang Mai University, Thailand.

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  1. 1.Excellence Center in Logistics and Supply Chain ManagementChiang Mai UniversityChiang MaiThailand

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