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Erschienen in:
2013 | OriginalPaper | Buchkapitel
26. Optimization for the Locations of B2C E-Commerce Distribution Network Based on an Improved Genetic Algorithm
verfasst von : Guanshi Li, Dong Wang
Erschienen in: Emerging Technologies for Information Systems, Computing, and Management
Verlag: Springer New York
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Abstract
To solve the problems of high cost and unreasonable location layout that the self-built logistics system of a B2C E-commerce company has, a B2C logistics distribution optimization solution is proposed. The solution established a mathematical model based on the construction costs of the regional distribution centers, the operation costs of the whole logistics distribution network, the transportation costs of the whole supply chain and the penalty cost for the situations of delivery overtime. The model considers the factors of economies of scale and standard service level. As the model has NP-Hard complexity, a mixed genetic and simulated annealing algorithm is proposed to solve the problem. And at last, a case of a B2C e-commerce company verifies the correctness of the whole theory.