Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm

Wenjie Wang, Guangdong Tian (), Gang Yuan and Duc Truong Pham
Additional contact information
Wenjie Wang: Shandong University
Guangdong Tian: Shandong University
Gang Yuan: Jilin University
Duc Truong Pham: University of Birmingham

Journal of Intelligent Manufacturing, 2023, vol. 34, issue 3, No 8, 1065-1083

Abstract: Abstract This article studies the scheduling problem for a remanufacturing system with parallel disassembly workstations, parallel flow-shop-type reprocessing lines and parallel reassembly workstations. The problem is formulated as a multi-objective optimization problem which contains both energy consumption and makespan to be addressed using an improved multi-objective invasive weed optimization (MOIWO) algorithm. Two vectors regarding workstation assignment and operation scheduling jointly form a solution. A hybrid initialization strategy is utilized to improve the solution quality and the Sigma method is adopted to rate each solution. A novel seed spatial dispersal mechanism is introduced and four designed mutation operations cooperate to enhance search ability. A group of numerical experiments and a practical case involving the disassembly of transmission devices are carried out and the results validate the effectiveness of the MOIWO algorithm for the considered problem compared with existing methods.

Keywords: Remanufacturing system; Disassembly; Shop scheduling; Energy consumption; Multi-objective invasive weed optimization (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10845-021-01837-5

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