Optimising a logistics system with multiple procurements and warehousing using endosymbiotic evolutionary algorithm
by Salik R. Yadav, Amol Ghorpade, Chetan Mahajan, Manoj Kumar Tiwari, Ravi Shankar
International Journal of Logistics Systems and Management (IJLSM), Vol. 5, No. 1/2, 2009

Abstract: This paper presents a robust optimisation technique viz. Endosymbiotic Evolutionary Algorithm (EEA) for a multi-stage, multi-period logistics system. The optimisation problem corresponds to a combinatorial cum integer optimisation problem where decision variables attended are options' selections and service times. As the problem corresponds to one with two interrelated sub-problems, there are ample prospects for EEA. The logistics optimisation model incorporates inventory holding costs, packaging and handling costs, finishing and transportation costs are incorporated in order to resemble recent advances in logistics research. EEA which works on the biological coevolution phenomenon based on the serial reciprocal changes in two or more cooperative interacting species has rarely been applied to a logistics optimisation problem. For the undertaken case study, it performs well and produces better or compatible solutions, in most of the cases, as compared to Genetic Algorithm (GA). The solution methodology utilised in the paper is a promising one and can be employed to resolve many other logistics and supply chain optimisation problems.

Online publication date: Sun, 30-Nov-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Logistics Systems and Management (IJLSM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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