Title :
Fuzzy multi-object model and solution to design logistics facility network for 3PLS
Author :
Ke Wang ; Xiao-jiao Chen ; Yong Zhang
Author_Institution :
Dept. of Automobile Eng., Jiangsu Univ., Zhenjiang
Abstract :
Focused on the multiple of object and uncertainty of environment for 3PLS to design the customizing logistics facility network, a fuzzy multi-object programming model and solution are studied deeply in this paper, the integration of the forward and reverse logistics demand for 3PLSpsila clients, and multi-commodity, multi-customer and capacitated facility location-allocation problem are taken into account. Moreover, the numerical example is analyzed to explain the feasibility of the fuzzy model and solution for 3PLS to design cost-effective and customer-adaptive logistics facility network.
Keywords :
fuzzy set theory; genetic algorithms; reverse logistics; 3PLS; capacitated facility location-allocation problem; customer-adaptive logistics facility network design; forward logistic; fuzzy multiobject programming model; hybrid genetic algorithm; reverse logistic; third party logistic supplier; Automobiles; Automotive engineering; Costs; Customer service; Design automation; Dynamic programming; Forward contracts; Reverse logistics; Supply chains; Transportation; fuzzy multi-object programming model; hybrid genetic algorithm; logistics facility network design; third party logistics providers;
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
DOI :
10.1109/ICAL.2008.4636486
