TY  - JOUR
AB  - 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.
VL  - 28
IS  - 2
SN  - 1741-0398
DO  - 10.1108/JEIM-02-2014-0016
UR  - https://doi.org/10.1108/JEIM-02-2014-0016
AU  - Ustundag Alp
AU  - Budak Aysenur
PY  - 2015
Y1  - 2015/01/01
TI  - A web-based DSS for fuzzy distribution network optimization
T2  - Journal of Enterprise Information Management
PB  - Emerald Group Publishing Limited
SP  - 260
EP  - 274
Y2  - 2024/09/19
ER  -