Solving a novel multi-objective inventory location problem by means of a local search algorithm

Carolina Lagos, Jorge Vega, Guillermo Guerrero, Jose Miguel Rubio

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)

Resumen

Problems in operations research are usually modelled as single objective ones even though there exist several goals that should be attained. Multiple reasons of why inherently multi-objective problems are modelled as single objective can be identified: better understanding of the problem features, simplification of the mathematical formulation of the problem, among others. However, summarising (usually conflicting) objectives into one objective function can be a sign of over-simplification in the problem modelling process. In this paper we extend a single objective inventory location problem formulation to a multi-objective one. We consider two conflicting objectives, namely, location cost and inventory cost. As a result, we obtain a complex multi-objective non-linear integer programming problem. Like its single objective formulation, this multi-objective problem cannot be solved by exact methods as the number of decision variables increases. Thus, a simple yet effective multi-objective local search algorithm is implemented in this paper.

Idioma originalInglés
Páginas (desde-hasta)189-194
Número de páginas6
PublicaciónStudies in Informatics and Control
Volumen25
N.º2
DOI
EstadoPublicada - 2016
Publicado de forma externa

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