Logistics systems and optimisation strategies under uncertain operational environment
by Turkay Yildiz; Funda Yercan
International Journal of Decision Sciences, Risk and Management (IJDSRM), Vol. 3, No. 3/4, 2011

Abstract: Transportation and logistics systems are characterised by their highly dynamic structures along with numerous interconnected processes. The natures of these systems involve various levels of resource allocation decisions where usually it is not always possible to execute these decisions in the field on time at the best possible way because of the unpredictable factors in plans. By considering the uncertain operational environment, this paper explores the uncertainty issue within operational systems and deals with the problem of allocating resources to maximise expected total profit and minimise inefficiencies under uncertainty. The aim is to design, develop, visualise, and effectively deal with a more realistic model to satisfy uncertain demand nodes by leaving minimal or no unsatisfied zones within an operational environment at seaports, transportation, logistics and supply chain systems. A representative optimisation model, which is developed to address the uncertainty issue, has been solved by using an optimisation algorithm. The results show that operational plans without the utilisation of uncertainty models could have negative impacts, including increased emissions, negative environmental effects, along with higher costs to organisations.

Online publication date: Tue, 30-Dec-2014

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 Decision Sciences, Risk and Management (IJDSRM):
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