EconPapers    
Economics at your fingertips  
 

Sequencing of design tasks based on the degree of permissible concurrency

Esra Aleisa and Li Lin

International Journal of Applied Management Science, 2009, vol. 1, issue 4, 367-387

Abstract: Rapid product design and development are crucial factors to maintaining a competitive advantage in today's intense market. Time-consuming iterative design cycles cause critical delays within the design development process. One widely applied method to identify such iterations is the design structure matrix (DSM). Due to its distinctive ability in consistently rearranging factors of a complex problem using subjective measures, the analytic hierarchy process (AHP) was requisitely applied to quantify DSM binary relations. Despite its advantages, AHP becomes intractable for large design problems, where substantial pairwise comparisons take place. The core contribution of this paper is overcome this drawback, thus facilitate faster sequencing of design tasks within a quantified DSM while utilising the benefits of AHP. This will lead to reducing time spent in iterating within design subcycles and eventually reduce time-to-market. The developed methodology is illustrated on a design of a low emission vehicle (LEV).

Keywords: design structure matrix; numerical DSM; tearing; design sequencing; analytical hierarchy processes; AHP; coupling thresholds; design tasks; product design; product development; design iteration; low emission vehicles; LEVs; vehicle design. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=26198 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:injams:v:1:y:2009:i:4:p:367-387

Access Statistics for this article

More articles in International Journal of Applied Management Science from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:injams:v:1:y:2009:i:4:p:367-387