We describe a Differential Evolution (DE) algorithm for solving U-shaped Assembly Line Balancing Problems -Type 2 (UALBP-2). The minimum cycle time in a just-in-time production line for producing a single product with a certain number of workstations was investigated by developing solution methods and testing on 15 problem sets (101 instances). The problems were divided into 10 medium-scale problem sets (50 instances) and 5 large-scale problem sets (51 instances). When comparing the results with those obtained from the rule-based heuristic; three rules and two rules, the DE algorithm could generate 14 better solutions (28%) in the medium-scale problems, and 3 better solutions (about 6%) in the large-scale problems. In terms of computational time, DE algorithm was faster than rule-based heuristic methods in medium-scale problems. In large problems, our DE algorithm used computational times that were shorter by 73% (for two rules) and 98% (for three rules).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.