Journal
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
Volume 71, Issue 9, Pages 1466-1478Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01605682.2019.1619892
Keywords
Manufacturing; lot sizing problems; cutting stock problems; integrated problems; multiobjective programming problems
Funding
- CAPES
- FAEPEX-Unicamp [519.292-0285/15, 519.292-885/15, 519.292-262/15]
- FAPESP [2015/02184-7]
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In recent years, researchers have investigated a variety of approaches to integrating lot sizing and cutting stock problems due to their high importance in the manufacturing industry. Although the mono-objective integrated problem has been considered an excellent alternative for minimising global costs, it does not include all the multiple criteria involved in the manufacturing process. Thus, to address this issue, we use a multiobjective approach and explain its importance in providing various answers to the decision maker through the Pareto-optimal solution set. We analyse existing trade-offs and correlations between each cost of the integrated problem and the related decision variables. Several computational tests are performed, which validate the efficacy of our strategy.
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