A Genetic-Algorithm-Based Optimization Model for Solving the Flexible Assembly Line Balancing Problem With Work Sharing and Workstation Revisiting

2008 ◽  
Vol 38 (2) ◽  
pp. 218-228 ◽  
Author(s):  
Z.X. Guo ◽  
W.K. Wong ◽  
S.Y.S. Leung ◽  
J.T. Fan ◽  
S.F. Chan
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Flexible Assembly ◽  
Work Sharing ◽  
Assembly Line Balancing Problem ◽  
Flexible Assembly Line

scholarly journals An Optimization Model for Assembly Line Balancing Problem with Uncertain Cycle Time

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yong Cao ◽  
Yuan Li ◽  
Qinghua Liu ◽  
Jie Zhang
Keyword(s):  
Genetic Algorithm ◽  
Cycle Time ◽  
Optimization Model ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Test Problems ◽  
Precedence Graph ◽  
Assembly Line Balancing Problem ◽  
Assembly Tasks

With the drastic change in the market, the assembly line is susceptible to some uncertainties. This study introduces the uncertain cycle time to the assembly line balancing problem (ALBP) and explores its impact. Firstly, we improve the traditional precedence graph to express the precedence, spatial, and incompatible constraints between assembly tasks, which makes ALBP more realistic. Secondly, we establish the assembly line balancing model under an uncertain cycle time, which is defined as an interval whose size can be adjusted according to the level of uncertainty. The objective of the model was to minimize the number of stations and the cycle time. Thirdly, we integrate the operator’s skill level into the model, and a multipopulation genetic algorithm is used to solve it. The method proposed in this study is verified by several test problems of different sizes. The results show that when the cycle time is uncertain, the proposed method can be used to obtain more reasonable results.

An immune genetic algorithm for simple assembly line balancing problem of type 1

2019 ◽  
Vol 39 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Han-ye Zhang
Keyword(s):  
Genetic Algorithm ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Immune Genetic Algorithm ◽  
Content Type ◽  
Assembly Line Balancing Problem ◽  
Simple Assembly ◽  
First Time

Purpose The purpose of this study is to develop an immune genetic algorithm (IGA) to solve the simple assembly line balancing problem of type 1 (SALBP-1). The objective is to minimize the number of workstations and workstation load for a given cycle time of the assembly line. Design/methodology/approach This paper develops a new solution method for SALBP-1, and a user-defined function named ψ(·) is proposed to convert all the individuals to satisfy the precedence relationships during the operation of IGA. Findings Computational experiments suggest that the proposed method is efficient. Originality/value An IGA is proposed to solve the SALBP-1 for the first time.

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