Predictive performance model in collaborative supply chain using decision tree and clustering technique

Predictive performance model in collaborative supply chain using decision tree and clustering technique

This paper proposes an integrated framework between B2B supply chains (B2B-SC) and performance evaluation systems. This framework is based on data mining techniques, enabling the development of a predictive collaborative performance evolution model and decision making which has forward-looking colla...

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Main Authors: Ridha Derrouiche, Pongsak Holimchayachotikul, Komgrit Leksakul
Format: Conference Proceeding
Published: 2018
Subjects:
Engineering
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960920320&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/49955
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-499552018-09-04T04:20:54Z Predictive performance model in collaborative supply chain using decision tree and clustering technique Ridha Derrouiche Pongsak Holimchayachotikul Komgrit Leksakul Engineering This paper proposes an integrated framework between B2B supply chains (B2B-SC) and performance evaluation systems. This framework is based on data mining techniques, enabling the development of a predictive collaborative performance evolution model and decision making which has forward-looking collaborative capabilities. The results are deployment for collaborative performance guidelines, which were validated by the domain experts in terms of its real practical usage efficiency. This framework enables managers to develop systematic manners to predict future collaborative performance and recognize latent problems in their relationship. Its usages and difficulties were also discussed. Furthermore, the final predictive results and rules contain vital information relating to SC improvement in the long term. © 2011 IEEE. 2018-09-04T04:20:54Z 2018-09-04T04:20:54Z 2011-08-03 Conference Proceeding 2-s2.0-79960920320 10.1109/LOGISTIQUA.2011.5939435 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960920320&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/49955
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
spellingShingle Engineering
Ridha Derrouiche
Pongsak Holimchayachotikul
Komgrit Leksakul
Predictive performance model in collaborative supply chain using decision tree and clustering technique
description This paper proposes an integrated framework between B2B supply chains (B2B-SC) and performance evaluation systems. This framework is based on data mining techniques, enabling the development of a predictive collaborative performance evolution model and decision making which has forward-looking collaborative capabilities. The results are deployment for collaborative performance guidelines, which were validated by the domain experts in terms of its real practical usage efficiency. This framework enables managers to develop systematic manners to predict future collaborative performance and recognize latent problems in their relationship. Its usages and difficulties were also discussed. Furthermore, the final predictive results and rules contain vital information relating to SC improvement in the long term. © 2011 IEEE.
format Conference Proceeding
author Ridha Derrouiche
Pongsak Holimchayachotikul
Komgrit Leksakul
author_facet Ridha Derrouiche
Pongsak Holimchayachotikul
Komgrit Leksakul
author_sort Ridha Derrouiche
title Predictive performance model in collaborative supply chain using decision tree and clustering technique
title_short Predictive performance model in collaborative supply chain using decision tree and clustering technique
title_full Predictive performance model in collaborative supply chain using decision tree and clustering technique
title_fullStr Predictive performance model in collaborative supply chain using decision tree and clustering technique
title_full_unstemmed Predictive performance model in collaborative supply chain using decision tree and clustering technique
title_sort predictive performance model in collaborative supply chain using decision tree and clustering technique
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960920320&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/49955
_version_ 1681423503135342592

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