Applied Technology in Assembly Line Balancing Based on Genetic Algorithm and Simulation

2014 ◽  
Vol 886 ◽  
pp. 564-567
Author(s):  
Jun Song Liu
Keyword(s):  
Genetic Algorithm ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Operation Time ◽  
Line Balancing ◽  
Work Station ◽  
Evaluation Functions ◽  
Applied Technology ◽  
Main Factors ◽  
Assembly Line Balancing Problem

For the assembly line balancing problem, the purpose of adopting genetic algorithm is to balance the average operation time of each work-station. In this paper, we elaborate the main factors that affect the genetic algorithm. Then evaluation functions are brought in the study to evaluate the simulation model based on eM-Plant. Finally the feasibility of this applied technology is verified by the example.

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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