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:	Derrouiche R., Holimchayachotikul P., Leksakul K.
Format:	Conference Proceeding
Published:	2017
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960920320&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43009
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-43009
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spelling	th-cmuir.6653943832-430092017-09-28T06:45:44Z Predictive performance model in collaborative supply chain using decision tree and clustering technique Derrouiche R. Holimchayachotikul P. Leksakul K. 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. 2017-09-28T06:45:44Z 2017-09-28T06:45:44Z 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/6653943832/43009
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
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	Derrouiche R. Holimchayachotikul P. Leksakul K.
spellingShingle	Derrouiche R. Holimchayachotikul P. Leksakul K. Predictive performance model in collaborative supply chain using decision tree and clustering technique
author_facet	Derrouiche R. Holimchayachotikul P. Leksakul K.
author_sort	Derrouiche R.
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	2017
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960920320&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43009
_version_	1681422297583321088

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

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