Minimizing the Makespan in Flowshop Scheduling for Sustainable Rubber Circular Manufacturing

Peng-Yeng Yin, Hsin-Min Chen, Yi-Lung Cheng, Ying-Chieh Wei, Ya-Lin Huang and Rong-Fuh Day
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Peng-Yeng Yin: Department of Information Management, National Chi Nan University, No. 1, University Rd., Puli, Nantou 54561, Taiwan
Hsin-Min Chen: Institute of Strategy and Development of Emerging Industry, National Chi Nan University, No. 1, University Rd., Puli, Nantou 54561, Taiwan
Yi-Lung Cheng: Department of Electrical Engineering, National Chi Nan University, No. 1, University Rd., Puli, Nantou 54561, Taiwan
Ying-Chieh Wei: Institute of Strategy and Development of Emerging Industry, National Chi Nan University, No. 1, University Rd., Puli, Nantou 54561, Taiwan
Ya-Lin Huang: Department of Information Management, National Chi Nan University, No. 1, University Rd., Puli, Nantou 54561, Taiwan
Rong-Fuh Day: Department of Information Management, National Chi Nan University, No. 1, University Rd., Puli, Nantou 54561, Taiwan

Sustainability, 2021, vol. 13, issue 5, 1-18

Abstract: It is estimated that 1 billion waste tires are generated every year across the globe, yet only 10% are being processed, and much rubber waste is yielded during manufacturing. These waste tires and rubber scraps are poisonous to the environment when processed via incineration and landfill. Rubber circular manufacturing is an effective solution that reduces not only rubber waste but also raw material costs. In this paper we propose a two-line flowshop model for the circular rubber manufacturing problem (CRMP), where the job sequence of two production lines is appropriately aligned to obtain the shortest makespan while guaranteeing that sufficient rubber waste yielded in the first line is ready to be reused for circular production in the second line. A genetic algorithm (GA) is developed, and the design of its genetic operations is customized to the CRMP context to achieve efficient and effective evolution. The experimental results with both real and synthetic datasets show that the GA significantly surpasses two heuristics in the literature by delivering the minimum makespan, which is 3.4 to 11.2% shorter than those obtained by the two competing methods.

Keywords: flowshop scheduling; circular economy; rubber circular manufacturing; heuristic; genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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