A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning

Jamalnia, Abouzar; Soukhakian, Mohammad Ali

Abstract

In this study a hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be developed for aggregate production planning (APP) problem in a fuzzy environment. Using an interactive decision making process the proposed model tries to minimize total production costs, carrying and back ordering costs and costs of changes in workforce level (quantitative objectives) and maximize total customer satisfaction (qualitative objective) with regarding the inventory level, demand, labor level, machines capacity and warehouse space. A real-world industrial case study demonstrates applicability of proposed model to practical APP decision problems. GENOCOP III (Genetic Algorithm for Numerical Optimization of Constrained Problems) has been used to solve final crisp nonlinear programming problem.

Citation

Jamalnia, A., & Soukhakian, M. A. (2009). A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning. Computers and Industrial Engineering, 56(4), 1474-1486. https://doi.org/10.1016/j.cie.2008.09.010

• Journal Article Type: Article
• Acceptance Date: Sep 11, 2008
• Online Publication Date: Sep 18, 2008
• Publication Date: 2009-05
• Deposit Date: Apr 15, 2024
• Print ISSN: 0360-8352
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 56
• Issue: 4
• Pages: 1474-1486
• DOI: https://doi.org/10.1016/j.cie.2008.09.010
• Keywords: Aggregate production planning, Fuzzy goal programming, Goal priorities, Nonlinear programming, Fuzzy numbers, Linguistic values
• Public URL: http://researchrepository.napier.ac.uk/Output/3593067