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An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization

Habib Zare, Mahyar Kamali Saraji, Madjid Tavana, Dalia Streimikiene and Fausto Cavallaro
Additional contact information
Habib Zare: Faculty of Economics, Management and Accounting, Yazd University, Yazd 89158, Iran
Mahyar Kamali Saraji: Kaunas Faculty, Vilnius University, Muitines 8, LT-44280 Kaunas, Lithuania
Madjid Tavana: Distinguished Chair of Business Analytics, Business Systems and Analytics Department, La Salle University, Philadelphia, PA 19141, USA
Dalia Streimikiene: Kaunas Faculty, Vilnius University, Muitines 8, LT-44280 Kaunas, Lithuania
Fausto Cavallaro: Department of Economics, University of Molise, 86100 Campobasso, Italy

Sustainability, 2021, vol. 13, issue 22, 1-15

Abstract: Manufacturing companies are under constant pressure to optimize the economic sustainability of their production systems. Production planning and optimization is a well-established strategy for considering resource constraints and improving economic productivity. This study proposes an integrated fuzzy goal planning and the theory of constraints for production planning and optimization. To this end, a hybrid Delphi–Buckley method was used to identify the relevant goals and a paired matrix questionnaire was used to determine the fuzzy weights of the goals. Furthermore, a fuzzy bottleneck detection algorithm was used to deal with the bottlenecks. A case study in the cable industry is presented to demonstrate the applicability and exhibit the efficiency of the proposed model. The results indicate that production planning in the cable industry could experience less deviation, almost 11% less, from the goals by applying the fuzzy goal programming under the theory of constraints, compared to the traditional method or crisp-goal programming.

Keywords: production planning; optimization; fuzzy logic; TOC; sustainability; cable industry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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