Paper Title:
The Model and Algorithm for Computing Market Share in Competitive Service Supply Chains
  Abstract

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, 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
$32.00
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