A Review of Supply Chain Data Mining Publications
The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development.
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Bhattacharya, A., Kumar, S.A., Tiwari, M.K. and Talluri, S. (2014) 'An intermodal freight transport system for optimal supply chain logistics', Transportation Research: Part C, 38, 73-84.
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Chae, B. (2015) 'Insights from hashtag #supplychain and Twitter analytics: Considering Twitter and Twitter data for supply chain practice and research', International Journal of Production Economics, 165(1), 247-259.
Chae, B., Olson, D. and Sheu, C. (2014) 'The impact of supply chain analytics on operational performance: A resource-based view', International Journal of Production Research, 52(16), 4695-4710.
Chen, M.C. and Wu, H.P. (2005) 'An association-based clustering approach to order batching considering customer demand patterns', Omega, 33(4), 333-343.
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Choudhary, A.K., Harding, J.A., Lin, H.K., Tiwari, M.K. and Shankar, R. (2011) 'Knowledge discovery and data mining integrated (KOATING) Moderators for collaborative projects', International Journal of Production Research, 49(23), 7029-7057.
Collins, J.D., Worthington, W.J., Reyes, P.M.. and Romero, M. (2010) 'Knowledge management, supply chain technologies, and firm performance', Management Research Review, 33(10), 947-960.
Costa, G., Manco, G. and Masciari, E. (2014) 'Dealing with trajectory streams by clustering and mathematical transforms', Journal of Intelligent Information Systems, 42(1), 155-177.
Davenport, T. and O'Dwyer, J. (2011) 'Tap into the power of analytics', Supply Chain Quarterly, Fourth Quarter, 28-31.
Davis-Sramek, B., Germain, R. and Iyer, K. (2010) 'Supply chain technology: The role of environment in predicting performance', Journal of the Academy of Marketing Science, 38(1), 42-55.
Delen, D., Erraguntla, M., Mayer, R.J. and Wu, C.N. (2011) 'Better management of blood supply-chain with GIS-based analytics', Annals of Operations Research, 185(1), 181-193.
Demirkan, H. and Delen, D. (2012) 'Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud', Decision Support Systems, 55(1), 412-421.
Dobbs, R., Manyika, J. and Woetzel, J. (2015) No Ordinary Disruption: The Four Global Forces Breaking All the Trends. Philadelphia, PA, USA: PublicAffairs.
Faezy Razi, F. (2014) 'A supplier selection using a hybrid grey based hierarchical clustering and artificial bee colony', Decision Science Letters, 3(3), 259-268.
Forslund, H. and Jonsson, P. (2007) 'The impact of forecast information quality on supply chain performance', International Journal of Operations & Production Management, 27(1), 90-107.
Ghadge, A., Dani, S. and Kalawsky, R. (2012) 'Supply chain risk management: Present and future scope', International Journal of Logistics Management, 23(3), 313-339.
Gonzalez, H., Han, J., Cheng, H., Li, X., Klabjan, D. and Wu, T. (2010) 'Modeling massive RFID data sets: A gateway-based movement graph approach', IEEE Transactions on Knowledge & Data Engineering, 22(1), 90-104.
Ha, S.H. and Krishnan, R. (2008) 'A hybrid approach to supplier selection for the maintenance of a competitive supply chain', Expert Systems with Applications, 34(2), 1303-1311.
Hadighi, S.A., Sahebjamnia, N., Mahdavi, I. and Akbarpour Shirazi, M. (2013) 'A framework for strategy formulation based on clustering approach: A case study in a corporate organization', Knowledge-Based Systems, 49, 37-49.
Handfield, R. (2006) Supply Market Intelligence: A Managerial Handbook for Building Sourcing Strategies. New York: Taylor & Francis.
Handfield, R. and Nichols, E. (2004) 'Key issues in global supply base management', Industrial Marketing Management, 33(1), 29-35.
Ho, G.T.S., Lau, H.C.W., Kwok, S.K., Lee, C.K.M. and Ho, W. (2009) 'Development of a co-operative distributed process mining system for quality assurance', International Journal of Production Research, 47(4), 883-918.
Hong, G.H. and Ha, S.H. (2008) 'Evaluating supply partner’s capability for seasonal products using machine learning techniques', Computers and Industrial Engineering, 54(4), 721-736.
Ivanov, D. and Sokolov, B. (2012) 'The inter-disciplinary modelling of supply chains in the context of collaborative multi-structural cyber-physical networks', Journal of Manufacturing Technology Management, 23(8), 976-997.
Jain, R., Singh, A.R., Yadav, H.C. and Mishra, P.K. (2014) 'Using data mining synergies for evaluating criteria at pre-qualification stage of supplier selection', Journal of Intelligent Manufacturing, 25(1), 165-175.
Jain, V., Benyoucef, L. and Deshmukh, S.G. (2008) 'A new approach for evaluating agility in supply chains using fuzzy association rules mining', Engineering Applications of Artificial Intelligence, 21(3), 367-385.
Jain, V., Wadhwa, S. and Deshmukh, S.G. (2009) 'Select supplier-related issues in modelling a dynamic supply chain: Potential, challenges and direction for future research', International Journal of Production Research, 47(11), 3013-3039.
Ji, S.W., Tian, Y. and Gao, Y.H. (2013) 'Study on supply chain information control tower system', Information Technology Journal, 12(24), 8488-8493.
Kohli, R. and Grover, V. (2008) 'Business value of it: An essay on expanding research directions to keep up with the times', Journal of Association for Information Systems, 9(1), 23-39.
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Lau, H.C.W., Ho, G.T.S., Zhao, Y. and Chung, N.S.H. (2009) 'Development of a process mining system for supporting knowledge discovery in a supply chain network', International Journal of Production Economics, 122(1), 176-187.
Lavalle, S., Lesser, E., Shockey, R.H., M and Kruschwitz, N. (2011) 'Big data, analytics and the path from insights to value', MIT Sloan Management Review, 52(2), 21-32.
Le, H.Q., Arch-Int., S., Nguyen, H.C. and Arch-Int., N. (2013) 'Association rule hiding in risk management for retail supply chain collaboration', Computers in Industry, 64(7), 776-784.
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Data mining, Supply Chain Management, Review paper
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