Potential Use of FP-Growth Algorithm for Identifying Competitive Suppliers in SCM

• Published in: The Journal of the Operational Research Society Vol. 60; no. 8; pp. 1135 - 1141
• Main Author: Lin, R.-H.
• Format: Journal Article
• Language: English
• Published: London Palgrave Macmillan 01.08.2009; Palgrave Macmillan UK; Taylor & Francis Ltd
• Subjects: Algorithms; Business and Management; Children; Collaboration; Competitiveness; Data envelopment analysis; Data mining; Economic competition; Integer programming; Linear programming; Literature reviews; Logistics; Management; Operations research; Operations Research/Decision Theory; Set theory; Shipments; Special Issue Paper; Studies; Suppliers; Supply chain management; Vendors; purchasing supply chain management; set theory; supplier selection; FP-growth algorithm
• ISSN: 0160-5682; 1476-9360
• DOI: 10.1057/jors.2008.157

The rapid development of global economy and the resulting increase in competition have prompted attention to be focused on supply chain management (SCM) for improved competitiveness. Supplier selection for reducing supplier base is an important goal in SCM. This paper aims at contributing an effective method that combines an FP-growth algorithm with set theory to identify the primary and secondary suppliers. An example of the proposed method to find key suppliers is presented, and the results show the proposed method to be effective.