Intelligent evolutional algorithm for distribution network optimization

2003 ◽  
Author(s):  
T. Onoyama ◽  
T. Maekawa ◽  
S. Kubota ◽  
Y. Taniguchi ◽  
S. Tsuruta
Keyword(s):  
Network Optimization ◽  
Distribution Network

Accurate IC current extraction method and power distribution network optimization

2015 ◽  
Vol 57 (9) ◽  
pp. 2175-2182
Author(s):  
Sangho Lim ◽  
Sangho Lee ◽  
Cheaok Ko ◽  
Jongwan Shim ◽  
Jeongnam Cheon
Keyword(s):  
Network Optimization ◽  
Power Distribution ◽  
Extraction Method ◽  
Distribution Network ◽  
Power Distribution Network

A web-based DSS for fuzzy distribution network optimization

2015 ◽  
Vol 28 (2) ◽  
pp. 260-274 ◽  
Author(s):  
Alp Ustundag ◽  
Aysenur Budak
Keyword(s):  
Linear Programming ◽  
Network Optimization ◽  
Programming Model ◽  
Distribution Network ◽  
Fuzzy Linear Programming ◽  
Strategic Decision ◽  
Linear Programming Model ◽  
Distribution Centers ◽  
Web Based ◽  
Content Type

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.

Sign in / Sign up

Export Citation Format

Share Document