A web-based DSS for fuzzy distribution network optimization. Issue 2 (2nd March 2015)

• Record Type: Journal Article
• Authors: Ustundag, Alp; Budak, Aysenur
• Is Part Of: Journal of enterprise information management. Volume 28:Issue 2(2015)
• Page Start: 260
• Page End: 274
• Publication Date: 2015-03-02
• Subjects: Supply chain -- Distribution network optimization -- Fuzzy linear programming -- Web-based decision support system; Management information systems -- Periodicals; Business logistics -- Periodicals; Business -- Data processing -- Periodicals; Management -- Data processing -- Periodicals; 658.05
• DOI: 10.1108/JEIM-02-2014-0016
• Languages: English
• ISSNs: 1741-0398

Abstract

Abstract : Purpose: – Distribution network design (DND) has become an important strategic decision for supply chain managers with increasing competitive nature of the industry nowadays. The purpose of this paper is to propose a web-based decision support system (DSS) for fuzzy distribution network optimization. For this purpose, a web-based DSS using fuzzy linear programming model is proposed to solve DND problem under uncertainty and a framework is created to optimize a distribution network. Design/methodology/approach: – In this study, the fuzziness in distribution network optimization is addressed. Fuzzy linear programming is used in a DSS to consider the uncertain and imprecise data. A web-based DSS architecture is presented. Furthermore, as an application, distribution network optimization is conducted for a company in the ceramics industry. Findings: – By using this DSS, the optimal transshipment amounts in the distribution network and the required facility and distribution centers can be determined for different fuzziness levels. In fact, for different uncertainty levels of input parameters, the planner can understand the range of optimum network planning costs. Based on the results of this study, planners will be able to decide how to develop the distribution network under uncertain demand. Originality/value: – Reviewing previous research in the related literature revealed that there are no studies presenting a web-based DSS using fuzzy linear programming model to solve this type of problems under uncertainty.