Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review

Cinzia Colapinto; Raja Jayaraman; Simone Marsiglio

doi:10.1007/s10479-015-1829-1

Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review

Cinzia Colapinto, Raja Jayaraman, Simone Marsiglio

Research output: Contribution to journal › Article › peer-review

42 Citations (Scopus)

Abstract

Goal programming (GP) is an important class of multi-criteria decision models widely used to analyze and solve applied problems involving conflicting objectives. Originally introduced in the 1950s by Charnes et al. (Manag Sci 2:138–151, 1955) the popularity and applications of GP has increased immensely due to the mathematical simplicity and modeling elegance. Over the recent decades algorithmic developments and computational improvements have greatly contributed to the diverse applications and several variants of GP models. In this paper we present a state of the art literature review on GP applications in three selected (prominent and popular) areas, namely engineering, management and social sciences.

Original language	English
Pages (from-to)	7-40
Number of pages	34
Journal	Annals of Operations Research
Volume	251
Issue number	1-2
DOIs	https://doi.org/10.1007/s10479-015-1829-1
Publication status	Published - Apr 1 2017
Externally published	Yes

Keywords

Goal programming
Multi-criteria decision analysis
Multi-criteria optimization
Recent advances

ASJC Scopus subject areas

Decision Sciences(all)
Management Science and Operations Research

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