Paper Info
Title
Improved Artificial Bee Colony Algorithm for Solving a Single-Objective Sequence-dependent Disassembly Line Balancing Problem
Abstract
The circular economy follows the principle of reducing resource usage and energy consumption, reusing usable resources including subassemblies and components in discarded or used products, and recycling usable materials. It is guided by saving resources, improving the utilization rate of resources, reducing pollution, and protecting an ecological environment. Effective product disassembly planning methods can improve recovery efficiency and promote the circular economy. However, the existing studies pay little attention to sequential dependency disassembly, which makes it difficult to implement the existing planning methods under the constraints of limited disassembly methods and tools. In this paper, a single-objective sequence-dependent disassembly line balancing problem (SDLB) is studied. This problem requires that disassembly tasks are assigned to a group of orderly disassembly workstations to obtain the near optimal solution while meeting a disassembly priority constraint. Because solution complexity increases with the number of parts in a product, an improved artificial bee colony method (IABC) is proposed to solve the problem. Through experiments and compared with a genetic algorithm, the effectiveness of the proposed algorithm is verified.
Year
DOI
Venue
2020
10.1109/ICNSC48988.2020.9238075
2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)
Keywords
DocType
ISBN
Disassembly sequence,Artificial bee algorithm (ABC),Sequence-dependent,Genetic algorithm (GA),Single-objective optimization
Conference
978-1-7281-6856-2
Citations 
PageRank 
References 
1
0.43
0
Authors
6
Name
Order
Citations
PageRank
Wen Luo110.43
MengChu Zhou28989534.94
Xiwang Guo344.53
Haiping Wei410.43
Liang Qi515627.14
ZiYan Zhao623.15