Multi period disassembly-to-order of end-of-life product based on scheduling to maximise the profit in reverse logistic operation

T. Sathish and J. Jayaprakash

International Journal of Logistics Systems and Management, 2017, vol. 26, issue 3, 402-419

Abstract: In recent era, the design of electronic machine is expanding step by step, which leads tremendous electronic decay. This is the reason as a result of the current researchers expecting new innovation in a short time. This situation makes the manufacturers to create the new technique in a brief time, so the current items need to either disposed or dismantled. In this circumstance, the manufactures need to remanufacture the end-of-life (E-O-L) items to meet the component necessity in the new items production. In this sense in our previous work, we exhibited a methodology to choose the optimal number of reuse product, so that the aggregate expense needed for the reverse logistic (RL) can be minimised. In this paper, we exhibited a novel methodology for the RL operation of E-O-L items, in view of an optimal scheduling algorithm. In the previous work, we have to locate the optimal number of reuse E-O-L products for the disassembly-to-order (D-T-O), and this paper presents the process to accurately schedule the machines to disassemble the products, so that the aggregate time and cost needed for the RL operation can be reduced. In this paper, artificial bee colony (ABC) algorithm is used as the proposed method and provides improved performance over the existing scheduling algorithms.

Keywords: reverse logistics; EOL products; end-of-life products; disassembly-to-order; DTO; metaheuristics; optimisation; artificial bee colony; ABC; swarm intelligence; disassembly scheduling; product reuse; product disassembly; remanufacturing. (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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