A multiobjective integrated model for lot sizing and cutting stock problems

Author(s)

Campello, B. S. C. ^[1] ; Ghidini, C. T. L. S. ^[1] ; Ayres, A. O. C. ^[1] ; Oliveira, W. A. ^[1]

Affiliation

^[1] Univ Estadual Campinas, Sch Appl Sci, R Pedro Zaccaria 1300, BR-13484350 Limeira, SP - Brazil

• Document type: Journal article
• Source: Journal of the Operational Research Society; v. 71, n. 9 JUN 2019.
• Web of Science Citations: 2

Abstract

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. (AU)

• FAPESP's process: 15/02184-7 - Improving the efficiency of the predictor-corrector interior point method
• Grantee: Carla Taviane Lucke da Silva Ghidini
• Support Opportunities: Regular Research Grants