Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review
Cinzia Colapinto (),
Raja Jayaraman () and
Simone Marsiglio
Additional contact information
Raja Jayaraman: Khalifa University
Annals of Operations Research, 2017, vol. 251, issue 1, No 2, 7-40
Abstract:
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.
Keywords: Goal programming; Multi-criteria decision analysis; Multi-criteria optimization; Recent advances (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
http://link.springer.com/10.1007/s10479-015-1829-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:251:y:2017:i:1:d:10.1007_s10479-015-1829-1
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-015-1829-1
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().