Assembly line balancing problem with deterioration tasks and learning effect

Authors:
M. Duran Toksarı;Selçuk K. İşleyen;Ertan Güner;Ömer Faruk Baykoç
Affiliations:
Erciyes University, Engineering Faculty, Industrial Engineering Department, Kayseri, Turkey;Atatürk University, Engineering Faculty, Industrial Engineering Department, Erzurum, Turkey;Gazi University, Engineering and Architecture Faculty, Industrial Engineering Department, Ankara, Turkey;Gazi University, Engineering and Architecture Faculty, Industrial Engineering Department, Ankara, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 3
Cited 4

A survey of exact algorithms for the simple assembly line balancing problem

Management Science
Single facility scheduling with nonlinear processing times

Computers and Industrial Engineering
V-shaped policies for scheduling deteriorating jobs

Operations Research

Genetic algorithm for minimizing the total weighted completion time scheduling problem with learning and release times

Computers and Operations Research
A note on the learning effect in multi-agent optimization

Expert Systems with Applications: An International Journal
An operator allocation optimization model for balancing control of the hybrid assembly lines using Pareto utility discrete differential evolution algorithm

Computers and Operations Research
A meta-heuristic algorithm for the fuzzy assembly line balancing type-E problem

Computers and Operations Research

Quantified Score

Hi-index	12.06

Visualization

Abstract

In this study, we introduce simultaneous effects of learning and linear deterioration into assembly line balancing problem. In many realistic settings, although the actual task time of a task is modeled as an increasing function of its starting time due to deterioration effects the produced worker(s) (or machine(s)) develops continuously by repeated the same or similar activities. The objective of problem is to minimize the station number. For this purpose, a mixed nonlinear integer programming model is developed. This paper also discusses the adaptation of the COMSOAL approach for large scale assembly line balancing problem with deterioration task and learning effect.