Project task flow optimisation and departmental flow analysis using design structure matrix and genetic algorithm
by Shi-Jie Chen; Lukasz M. Mazur; Michał Sąsiadek
International Journal of Logistics Systems and Management (IJLSM), Vol. 15, No. 1, 2013

Abstract: Engineering projects often require a great deal of effort during the planning and designing stages to eliminate any unnecessary rework. To achieve satisfactory results in complex projects, project managers need to consider every possible rework (or feedback connections) throughout the entire project life cycle in addition to establishing the best project task flow. Therefore a project can be completed in a shorter time and lower cost without sacrificing the quality of the outcome. The objective of this paper is to develop an optimisation process for project task coordination using design structure matrix (DSM) and genetic algorithm (GA). DSM helps identify the relationships among project tasks. GA is used to help coordinate/optimise the project task structure in terms of task cost, task time and their coupling strength. This paper also shows our developed method is able to help the managers to enhance the level of cooperation among the related departments by a departmental flow analysis. The effectiveness of this model is demonstrated by an industry example.

Online publication date: Fri, 27-Sep-2013

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