Name
Title | ||
|---|---|---|
Scheduling a Stochastic Remanufacturing Process with Disassembly, Reprocessing and Reassembly |
Abstract | ||
|---|---|---|
Remanufacturing has attracted increasing interest in recent years since it plays important roles in environmental protection and energy-saving. This work presents a scheduling problem from an uncertain remanufacturing process including three subsystems, i.e., disassembly, reprocessing and reassembly ones. Disassembly and reassembly shops contain multiple workstations in parallel to disassemble end-of-life (EOL) products and reassemble the components, respectively. A reprocessing shop is a hybrid flow shop to process the components disassembled from EOL products. A stochastic programming model is established to minimize the expected makespan. In order to solve it efficiently, a learning-based shuffled frog-leaping algorithm is proposed, where a learning mechanism by using obtained searching information is developed to strengthen its exploration and exploitation abilities. Extensive experiments are performed on a set of test problems. The proposed algorithm is compared with a genetic algorithm and simulated annealing algorithm used in some existing studies. The results demonstrate that it is a more promising optimizer to solve the concerned problem than them. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICNSC48988.2020.9238106 | 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC) |
Keywords | DocType | ISBN |
Remanufacturing,disassembly,stochastic scheduling,shuffled frog-leaping algorithm | Conference | 978-1-7281-6856-2 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaping Fu | 1 | 14 | 2.54 |
| Xiwang Guo | 2 | 4 | 4.53 |
| Liang Qi | 3 | 156 | 27.14 |