The concept and philosophy behind supply chain management is to integrate and optimize business processes across all partners in the entire production chain. Since these are not simple supply chains but rather complex networks, tuning these complex networks comprising supply chain/s to the needs of the market can be facilitated by data mining. Data mining is a set of techniques used to uncover previously obscure or unknown patterns and relationships in very large databases. It provides better information for achieving competitive advantage, increases operating efficiency, reduces operating costs and provides flexibility in using the data by allowing the users to pull the data they need instead of letting the system push the data. However, making sense of all this data is an enormous technological and logistical challenge. This chapter helps you understand the key concepts of data mining, its methodology and application in the context of supply chain management of complex networks.
Complete Chapter List
John A. Hoxmeier
Coral Calero, Mario Piattini, Marcela Genero
Anirban Bhaumik, Deepti Dixit, Roberto Galnares, Aparna Krishna, Michael Bieber, Vincent Oria, Firas Alljalad
M. Mehdi Owrang O.
Ladjel Bellatreche, Kamalakar Karlapalem, Mukesh Mohania
Manoj K. Singh, Mahesh S. Raisinghani
Esperenza Marcos, Paloma Caceres
Laura C. Rivero, Jorge H. Doorn, Viviana E. Ferraggine
Cheryl L. Dunn, Severin V. Grabiski
Eduardo Fernandez-Medina Paton, Mario G. Piattini
David J. Paper, James A. Rodger, Parag C. Pendharkar