DefinePK

Abstract

The review was carried out thoroughly on the field of two-sided assembly line balancing problems. Some researchers have highlighted the multi-objective optimization and found this topic is generally very interesting and should be addressed accordingly. Multi-objective optimization is the problems involves than one objective functions. The task are generally in finding one or more optimum solution. In two-sided assembly line balancing problems, usually the two conflicting objectives often used as the main target is to maximize/minimize as follows; i) number of workstation, ii) number of cycle time, iii) work relatedness, iv)work slackness, v) smoothness index, vi) line length, vii) workload balanced. The survey shows that the two evolutionary algorithms that frequently used to solve two-sided assembly line balancing in the past 5 years are Simulated Annealing algorithms and Genetic Algorithms.