A fuzzy set approach to activity scheduling for product development
J R Wang ()
Additional contact information
J R Wang: Feng Chia University
Journal of the Operational Research Society, 1999, vol. 50, issue 12, 1217-1228
Abstract:
Abstract Industries need to effectively manage their product development processes to reduce the product development time and cost. Due to incomplete design information at the early stage of product development, the duration of each activity is difficult to estimate accurately. The objective of this research is to develop a methodology to schedule product development projects having imprecise temporal information. The research problem is formulated as a fuzzy constraint satisfaction problem and a new method based on possibility theory is proposed to determine the satisfaction degrees of fuzzy temporal constraints. Based on the proposed method, a fuzzy scheduling procedure is developed to construct a schedule with the least possibility of being late and to maximize the satisfaction degrees of all fuzzy temporal constraints. Moreover, the computational efficiency of the proposed approach is also discussed. The proposed methodology can produce more satisfactory schedules in an uncertain product development environment.
Keywords: project scheduling; fuzzy set theory; product development (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2600814 Abstract (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:pal:jorsoc:v:50:y:1999:i:12:d:10.1057_palgrave.jors.2600814
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274
DOI: 10.1057/palgrave.jors.2600814
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook
More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().