Risk probability assessment model based on PLM’s perspective using modified markov process

© IFIP International Federation for Information Processing 2016. 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 eith...

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Main Authors: Teerasoponpong S., Sopadang A.
Format: Book Series
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964908540&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42330
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-423302017-09-28T04:26:29Z Risk probability assessment model based on PLM’s perspective using modified markov process Teerasoponpong S. Sopadang A. © IFIP International Federation for Information Processing 2016. 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. 2017-09-28T04:26:29Z 2017-09-28T04:26:29Z 2016-01-01 Book Series 18684238 2-s2.0-84964908540 10.1007/978-3-319-33111-9_7 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964908540&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42330
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © IFIP International Federation for Information Processing 2016. 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.
format Book Series
author Teerasoponpong S.
Sopadang A.
spellingShingle Teerasoponpong S.
Sopadang A.
Risk probability assessment model based on PLM’s perspective using modified markov process
author_facet Teerasoponpong S.
Sopadang A.
author_sort Teerasoponpong S.
title Risk probability assessment model based on PLM’s perspective using modified markov process
title_short Risk probability assessment model based on PLM’s perspective using modified markov process
title_full Risk probability assessment model based on PLM’s perspective using modified markov process
title_fullStr Risk probability assessment model based on PLM’s perspective using modified markov process
title_full_unstemmed Risk probability assessment model based on PLM’s perspective using modified markov process
title_sort risk probability assessment model based on plm’s perspective using modified markov process
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964908540&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42330
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