Simultaneous optimisation of cell loading and transportation method selection decisions Online publication date: Tue, 22-Dec-2015
by Gürsel A. Süer; Can Çelikbilek; Melih Altun
International Journal of Business Performance and Supply Chain Modelling (IJBPSCM), Vol. 7, No. 4, 2015
Abstract: This paper presents a new mathematical model and a new genetic algorithms (GA) approach for simultaneous optimisation of manufacturing scheduling and transportation mode selection in a supply chain environment. Cell loading and due date selection mathematical model and a corresponding GA for the mathematical model were developed in order to assign products to cells, determine product sequence and identify the best transportation method for each product to maximise the total net profit. The GA was developed specifically for solving cell loading and due date selection problem. GA attained very good results when compared to optimal solutions. The mathematical model could solve problems up to 80 jobs, three cells and three alternative manufacturing due dates relatively fast. However, the execution time grows significantly for the problems with 110 or more jobs with three cells and three alternative due dates. Therefore, GA is proposed as the main solution method for large-size problems.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Business Performance and Supply Chain Modelling (IJBPSCM):
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 subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook