Open AccessModeling and Optimization of Inventory-Distribution Routing Problem for Agriculture Products Supply Chain
Author(s) -
Liao Li,
Jianfeng Li,
Yaohua Wu
Publication year - 2013
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2013/409869
Subject(s) - mathematical optimization , supply chain , computer science , economic order quantity , genetic algorithm , heuristic , supply chain management , routing (electronic design automation) , distribution (mathematics) , distributor , interval (graph theory) , operations research , mathematics , business , engineering , mechanical engineering , computer network , mathematical analysis , marketing , combinatorics
Mathematical models of inventory-distribution routing problem for two-echelon agriculture products distribution network are established, which are based on two management modes, franchise chain and regular chain, one-to-many, interval periodic order, demand depending on inventory, deteriorating treatment cost of agriculture products, start-up costs of vehicles and so forth. Then, a heuristic adaptive genetic algorithm is presented for the model of franchise chain. For the regular chain model, a two-layer genetic algorithm based on oddment modification is proposed, in which the upper layer is to determine the distribution period and quantity and the lower layer is to seek the optimal order cycle, quantity, distribution routes, and the rational oddment modification number for the distributor. By simulation experiments, the validity of the algorithms is demonstrated, and the two management modes are compared
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