Title: Optimisation evaluation on material distribution systems: from the perspective of automobile manufactures
Authors: Qun Wu; Ying Liao; Kun Liao; Bo Li
Addresses: School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330013, China ' Department of Marketing and Supply Chain Management, College of Business, East Carolina University, E 5th St., Greenville, NC 27858, USA ' Department of Finance and Supply Chain Management, College of Business, Central Washington University-Lynnwood, 20000 68th Ave. W, Lynnwood, WA 98036, USA ' Department of Management, College of Business and Economics, California State University, 5151 State University Drive, Los Angeles, CA 90032, USA
Abstract: Owing to the rapid growth of competition in the automobile industry and the wide variety of customer demands, automobile manufacturer's supply chain management must have higher standards in terms of efficiency and effectiveness of their logistics distribution. Given the current practical challenges of materials distribution in the mixed-model assembling line system in the automobile industry, this study uses DEA-CCR analysis to compare the set parts system (SPS) model with the traditional models, and found that the SPS distribution model is superior to the traditional models in terms of distribution service quality, investment cost, distribution cost, distribution efficiency, and distribution continuity delivery punctuality and delivery staff. This research not only provides a systematic analysis of distribution models, but also offers a number of future research and implementation opportunities to scholars and practitioners in this field.
Keywords: automobile industry; material distribution; DEA-CCR; SPS; set parts system; optimisation evaluation.
International Journal of Technology, Policy and Management, 2020 Vol.20 No.2, pp.104 - 115
Received: 24 Apr 2018
Accepted: 23 Oct 2018
Published online: 25 Jul 2020 *