Fuzzy goal programming approach to multi-objective mixed model assembly line balancing Online publication date: Thu, 29-Aug-2013
by R.G. Özdemir
International Journal of Industrial and Systems Engineering (IJISE), Vol. 15, No. 3, 2013
Abstract: This study addresses mixed model assembly line balancing problems arising in automotive plants. The main motivation for balancing a mixed model assembly line is to avoid inefficiencies among the stations. There exist many sources for these inefficiencies such as idle workers, extra stations, unbalanced workloads and unnecessary equipments along the line. All these factors can be involved in a multi-objective approach. However, the decision maker cannot determine precise target values for abovementioned objectives. Thus, fuzzy goal constraints are much more suitable for the problem solution. The problem stated above is formulated in this study as a mixed integer fuzzy-goal programming with the objectives of minimising number of workers and stations, minimising total unbalanced workloads and minimising total equipment costs. The problem is then linearised using Min-Max goal programming approach to solve mixed model assembly line balancing with above given objectives. This study includes a case study and determines the priority of each objective based on the judgments of the assembly line manager.
Online publication date: Thu, 29-Aug-2013
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com