The Model and Algorithm for Computing Market Share in Competitive Service Supply Chains

Abstract:

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This paper studies the problem of computing market share in competitive service supply chains characterized by service congestion phenomena. Heterogenous customers choose services based on the utility maximization principle taking congestion into account. We use customer choice theory and infinite dimensional variational inequality to model the customer behavior and estimate service product’s market share. An extended Frank and Wolfe algorithm for solving this market share problem and a numerical example is given. The results shows that that service providers with poor service quality can also win some market share due to customers’ aversion to congestion.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1283-1286

DOI:

10.4028/www.scientific.net/AMR.204-210.1283

Citation:

Y. H. Hu and J. T. Zhang, "The Model and Algorithm for Computing Market Share in Competitive Service Supply Chains", Advanced Materials Research, Vols. 204-210, pp. 1283-1286, 2011

Online since:

February 2011

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Price:

$35.00

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