期刊名称：International Journal of Advanced Computer Science and Information Technology
电子版ISSN：2296-1739
出版年度：2014
期号：194
页码：20
出版社：Helvetic Editions
摘要：Flexible Multistage Logistics Network (fMLN) is an extension of the traditional multistage logistics network whereby a customer can procure goods directly from plants or distribution centers needless of retailers. This research intends to formulate the bi-criteria multi source single product fMLN model and discover methods to solve it. Here, total logistics cost and total product delivery time should be minimized simultaneously. By far, fMLN problems have been dealt with in single source form, meaning each customer could only be served by only one source. Because this issue is NP-hard, meta-heuristic techniques such as Genetic Algorithm (GA) have been used to solve the problem. However, under realistic settings, fMNL is multi-source, meaning each customer may be served by a number of facilities simultaneously. Because a multi-source fMNL problem is more complex than the single source in terms of both options as well as constraints, GA will also require enhancement. The proposed solution of this research is representing the chromosome in a new state, capable of improvising the constraints of the problem by a considerable ratio and with the defined crossover and mutation to solve the general bi-criteria multi-source fMNL. The obtained result using enhanced GA will show that it is dramatically improved comparing with using standard GA in order to having lower cost and time.
