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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th-cmuir.6653943832-556162018-09-05T02:58:38Z Risk probability assessment model based on PLM’s perspective using modified markov process Siravat Teerasoponpong Apichat Sopadang Decision Sciences © 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. 2018-09-05T02:58:38Z 2018-09-05T02:58:38Z 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/6653943832/55616 |
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Decision Sciences |
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Decision Sciences Siravat Teerasoponpong Apichat Sopadang Risk probability assessment model based on PLM’s perspective using modified markov process |
| 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 |
Siravat Teerasoponpong Apichat Sopadang |
| author_facet |
Siravat Teerasoponpong Apichat Sopadang |
| author_sort |
Siravat Teerasoponpong |
| 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 |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964908540&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55616 |
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