Journal Search Engine
Search Advanced Search Adode Reader(link)
Download PDF Export Citaion korean bibliography PMC previewer
ISSN : 2005-0461(Print)
ISSN : 2287-7975(Online)
Journal of Society of Korea Industrial and Systems Engineering Vol.41 No.2 pp.105-116
DOI : https://doi.org/10.11627/jkise.2018.41.2.105

Optimizing Assembly Line Balancing Problems with Soft Constraints

Seong-Hoon Choi*, Geun-Cheol Lee**
*Depart. of Management Engineering, Sangmyung University
**College of Business Administration, Konkuk University
Corresponding Author : shchoi@smu.ac.kr

Abstract

In this study, we consider the assembly line balancing (ALB) problem which is known as an very important decision dealing with the optimal design of assembly lines. We consider ALB problems with soft constraints which are expected to be fulfilled, however they are not necessarily to be satisfied always and they are difficult to be presented in exact quantitative forms. In previous studies, most researches have dealt with hard constraints which should be satisfied at all time in ALB problems. In this study, we modify the mixed integer programming model of the problem introduced in the existing study where the problem was first considered. Based on the modified model, we propose a new algorithm using the genetic algorithm (GA). In the algorithm, new features like, a mixed initial population selection method composed of the random selection method and the elite solutions of the simple ALB problem, a fitness evaluation method based on achievement ratio are applied. In addition, we select the genetic operators and parameters which are appropriate for the soft assignment constraints through the preliminary tests. From the results of the computational experiments, it is shown that the proposed algorithm generated the solutions with the high achievement ratio of the soft constraints.

소프트 제약을 포함하는 조립라인 밸런싱 문제 최적화

최성훈*, 이근철**
*상명대학교 경영공학과
**건국대학교 경영대학

초록

 

Figure

Table