A parts supplier selection framework of mechanical manufacturing enterprise based on D-S evidence theory. Issue 4 (December 2018)

• Record Type: Journal Article
• Authors: Li, Lianhui; Wang, Hongguang
• Is Part Of: Journal of algorithms & computational technology. Volume 12:Issue 4(2018)
• Page Start: 333
• Page End: 341
• Publication Date: 2018-12
• Subjects: Parts supplier selection -- D-S evidence theory -- manufacturing enterprise -- membership grade -- tendency degree; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1177/1748301818779044
• Languages: English
• ISSNs: 1748-3018

Abstract

Parts supplier selection (PSS) is an important part of supply chain management of manufacturing enterprise. In the PSS process, the values of evaluation indicators are often uncertain and incomplete and the importance degrees of evaluation indicators are often instable. To solve this problem, a PSS framework of manufacturing enterprise based on D-S evidence theory is proposed. The indicator system for PSS is established, and the indicators are divided into three categories: quantitative, comprehensive qualitative and direct qualitative. The initial indicator values are processed by membership grade method to obtain the tendency degree. A two-order weighted D-S evidence theory model is constructed to evaluate the screened candidate suppliers. A manufacturing enterprise application case is given finally to illustrate the correctness and feasibility of the proposed framework.