DocumentCode :
2287281
Title :
An improved heuristic algorithm for the problem of inventory —transportation integrated optimization
Author :
Liu, Li-Hui ; Ye, Chun-Ming
Author_Institution :
Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
1957
Lastpage :
1962
Abstract :
VMI (vendor managed inventory) policy coordinates effectively the antinomy between the inventory and the transportation within logistics distribution system. Under VMI mode, integrating inventory and transportation of the supplier and the demander as a whole is considered to achieve the optimization of total distribution cost. In view of typical one-warehouse multiretailer distribution network in the modern distribution logistics system, the mathematic model on the inventory-transportation integrated optimization problem with stochastic demand and many products is established by using a bilevel programming method; and an improved heuristic algorithm is designed to solve the problem; and then, numerical examples are given to show that the inventory-transportation integrated optimization between the supplier and the demander makes for decreasing total cost of distribution system.
Keywords :
cost reduction; goods distribution; inventory management; logistics; mathematical programming; retailing; stochastic processes; supply and demand; supply chain management; transportation; VMI; bilevel programming method; heuristic algorithm; logistics distribution system; mathematic model; one-warehouse multiretailer distribution network; stochastic demand; total distribution cost reduction; transportation integrated optimization; vendor managed inventory policy; Cost function; Design optimization; Heuristic algorithms; Inventory management; Logistics; Mathematical model; Mathematical programming; Mathematics; Stochastic systems; Transportation; VMI; improved heuristic algorithm; integrated optimization; inventory and transportation; one-many distribution network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-3970-6
Electronic_ISBN :
978-1-4244-3971-3
Type :
conf
DOI :
10.1109/ICMSE.2009.5317676
Filename :
5317676
Link To Document :
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