Application of goal programming in the textile apparel industry to resolve production planning problems a meta-goal programming technique using weights

Zahid Amin Malik (), Rakesh Kumar () and Govind Pathak ()

Operations Research and Decisions, 2022, vol. 32, issue 2, 74-88

Abstract: In the present business environment, rapidly developing technology and the competitive world market pose challenges to the available assets of industries. Hence, industries need to allocate and use available assets at the optimum level. Thus, industrialists must create a good decision plan to guide their performance in the production sector. As a result, the present study applies the Meta-Goal Programming technique to attain several objectives simultaneously in the textile production sector. The importance of this study lies in pursuing different objectives simultaneously, which has been almost ignored till now. The production scheduling problem in a textile firm is used to illustrate the practicability and mathematical validity of the suggested approach. Analysis of the results obtained demonstrates that the solution met all three meta-goals with some original goals being met partially. An analysis of the sensitivity of the approach to the weights of the preferences was conducted.

Keywords: meta-goal programming; weighted goal programming; multi-objective decision-making; asset allocation; textile sector; sensitivity analysis (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ord.pwr.edu.pl/assets/papers_archive/ord2022vol32no2_5.pdf (application/pdf)

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:wut:journl:v:32:y:2022:i:2:p:74-88:id:5

DOI: 10.37190/ord220205

Access Statistics for this article

More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski ().