DocumentCode :
3002066
Title :
Multi-facility location model with timeliness constrains of logistics distribution centers
Author :
Yan-cheng, Gong
Author_Institution :
Dept. of Automobile Manage., Automobile Manage. Inst., Bengbu
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
2533
Lastpage :
2536
Abstract :
This paper is aimed to solve the multi-facility location problems of distribution centers by multi-objective decision method. After analyzing the requirements and characteristics of distribution time, it put forward a multi-facility location model in which the distribution cost was taken as decision objective and the distribution time was changed to a group of constrains. It designed a bi-step heuristics to solve the model based on conventional iterative algorithms of center-of-gravity approach and MATLAB optimization function. The study indicates that it generally only increases limited costs when the distribution time is considered in solving the location problems, and the bi-step heuristics is effective to deal with the multi-facility location problems with timeliness constrains.
Keywords :
decision theory; distribution strategy; facility location; iterative methods; logistics; optimisation; transportation; MATLAB optimization function; bistep heuristics; center-of-gravity approach; distribution time; iterative algorithm; logistics distribution center; multifacility location model; multiobjective decision method; timeliness constrain; transportation turnover; Algorithm design and analysis; Automation; Automobiles; Costs; Iterative algorithms; Logistics; MATLAB; Mathematical model; Time factors; Transportation; distribution center; location model; logistics; multi-facility location; timeliness constrains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636595
Filename :
4636595
Link To Document :
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