Research into Merchant Logistics Center Scale Determining Based on Supply Chain Management

Ming-bao, Pang; Ma, Ning

doi:10.1109/icmit.2006.262349

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…The synthesis simulation method together with improved genetic algorithm (GA) based on bi-level programming was adopted [2][5-6] [16]. The concrete algorithm steps can be described as the followers.…”

Section: Algorithmmentioning

confidence: 99%

“…There are the government, the owners of the logistics centers, and the clients mainly in the regional logistics system [2][9] [11].…”

Section: System Analysismentioning

confidence: 99%

“…Traditionally the number and the scale of the logistics centers were determined by establishing the mixed nonlinear programming models [3][4]. In order to solve the reaction problem of the clients, bi-level programming was established by many researchers [2] [5][6]. There are three aspects problems in the method despite that it is scientific [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…The core problem of the regional modern logistics system program is to determine the number, the scale and the concrete position of the logistics centers and spots [1][2][3][4]. Traditionally the number and the scale of the logistics centers were determined by establishing the mixed nonlinear programming models [3][4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Regional Logistics System Bi-level Programming with Elastic Demand by Using Fuzzy C-means Clustering

Ming-bao

Dong

Zhao

2010

2010 Third International Symposium on Intelligent Information Technology and Security Informatics

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The bi-level programming of regional logistics system in elastic demand 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. The problem is equal to that of determining the membership values to the given logistics centers or the clustering centers by using the thought of fuzzy c-means clustering. The clustering centers are some of the feasible sites that possess candidacy of the logistics centers. Stackelberg model was established. The upper level model is the problem for the government to seek maximal social benefits with elastic demand. The lower level model is the partition problem of clients' assignment. Genetic algorithm was adopted in the concrete course for solution. The simulation result shows its correctness.

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Section: Algorithmmentioning

confidence: 99%

“…There are the government, the owners of the logistics centers, and the clients mainly in the regional logistics system [2][9] [11].…”

Section: System Analysismentioning

confidence: 99%