DocumentCode :
694072
Title :
Incorporating location, routing and inventory decisions in dual sales channel — A hybrid genetic approach
Author :
Chia-Lin Hsieh ; Shu-Hsien Liao ; Wei-chung Ho
Author_Institution :
Dept. of Stat. & Actuarial Sci., Aletheia Univ., Taipei, Taiwan
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
452
Lastpage :
456
Abstract :
In this study, we present a three-echelon dual sale channel supply chain network including a single vender, multiple distribution centers (DCs), also physical retailers and online customers. In the proposed business model, the vender receives orders either from physical retailers or online customers, then assigns specific DCs to fulfill these orders. The purpose of this problem is to determine the number and locations of DCs which assign both physical retailers and online customers. These decisions are very critical policy that the vender is responsible for managing inventory replenishment at specific DCs. Since the formulated problem is consisting of LIP (Location-Inventory Problem) and LRP (Location-Routing Problem) issues, we develop a genetic algorithm by incorporating a three-phase heuristic approach to solve both LIP and LRP. The experimental results demonstrate trade-off cost relations which impact on the number of potential DCs to be opened under the objective of minimizing total supply chain cost.
Keywords :
genetic algorithms; retailing; supply chains; LIP; LRP; hybrid genetic approach; inventory decision; inventory replenishment; location decision; location-inventory problem; location-routing problem; multiple distribution centers; online customers; physical retailers; routing decision; single vender; three-echelon dual sale channel supply chain network; three-phase heuristic approach; Genetic algorithms; Resource management; Routing; Supply chains; Vehicle routing; Vehicles; dual sale channel; genetic algorithm; integrated supply chain design; location-inventory problem; location-routing problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
Conference_Location :
Bangkok
Type :
conf
DOI :
10.1109/IEEM.2013.6962452
Filename :
6962452
Link To Document :
بازگشت