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Bi-level linear programming is a technique for modeling decentralized decision. It consists of the upper level and lower level objectives. Thus, this paper intends to apply bi-level linear programming to supply chain management and develops an efficient method based on hybrid of genetic algorithm and particle swarm optimization. The performance of the proposed method is ascertained by comparing the...
Firstly, supplier selection research is briefly described, and a supplier selection model based on gray bi-level programming is set up in the view that there are a lot of uncertainties, in which overall performance degree reflects goods and services quality of supplies, and it is helpful to reduce purchase cost and motivate supplier to improve his goods and services quality. Secondly, genetic algorithm...
In order to solve the multiple supply chains design (MSCD) problem with two dimensional cooperation, a across-chain horizontal cooperation model with two supply chains is used in this paper. Through hybrid genetic algorithm and software tools Matlab & Lingo, the MSCD problem with two dimensional across-chain horizontal cooperation can be rationally solve. For illustration, a example test is utilized...
As cost pressure and worldwide resource limitation continue to mount in this era of economic slowdowns, more and more firms and communities have begun to explore the possibility of managing both of the forward and reverse flows within a closed-loop supply chain in a more cost-efficient and timely manner. But limited number of research set foot in this area, especially for the location-allocation problem,...
The new approach for vendor selection problem was established under the stochastic environment. After establishing the traditional multi-objective programming model, through minimizing the optimistic value of the net cost of the total order quantity, rejected quantity and late delivered quantity, the multi-objective stochastic constrained integer programming model was established based on the stochastic...
The bi-level programming of regional logistics system was studied by using fuzzy c-means clustering. Game relations among the government, the owners of the logistics centers, and the clients were discussed by system analysis method. The synthetic evaluation indices of 17 characteristic vectors were established for clients to select the logistics centers and exchanging amount. The problem is equal...
Considering resources constraints of supply chain environment, a problem of products optimal decision under demand uncertainty was studied in this paper. Putting every component of supply chain such as suppliers, manufacturing plant, distribution centers and customers into an identical decision system, an integrated optimal stochastic chance constraint programming model with objective of maximum profit...
This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. We formulate model by fuzzy programming and develop monkey-king algorithm to solve the proposed model. Through an example, compared with the traditional genetic algorithm, it is proved that the presented algorithm...
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