A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry

Autor:	Kou-Huang Chen, Li-Chun Wu, Chin-Nung Liao
Jazyk:	angličtina
Rok vydání:	2014
Předmět:	Logistics center Cost–benefit analysis Operations research Article Subject Computer science lcsh:Mathematics Applied Mathematics TOPSIS Ideal solution lcsh:QA1-939 Multiple-criteria decision analysis Fuzzy logic Goal programming Selection (genetic algorithm)
Zdroj:	Journal of Applied Mathematics, Vol 2014 (2014) J. Appl. Math.
ISSN:	1110-757X
DOI:	10.1155/2014/470128
Popis:	The location selection of a logistics center is a crucial decision relating to cost and benefit analysis in airline industry. However, it is difficult to be solved because there are many conflicting and multiple objectives in location problems. To solve the problem, this paper integrates fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) and multichoice goal programming (MCGP) to obtain an appropriate logistics center from many alternative locations for airline industry. The proposed method in this paper will offer the decision makers (DMs) to set multiple aspiration levels for the decision criteria. A numerical example of application is also presented.
Databáze:	OpenAIRE
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