NDLI: A new approach to solve time–cost trade-off problem with fuzzy decision variables

Content Provider	Springer Nature Link
Author	Ghazanfari, M. Yousefli, A. Jabal Ameli, M. S. Bozorgi Amiri, A.
Copyright Year	2008
Abstract	Time–cost trade-off problem is one of the main aspects of project scheduling. Due to variations in the real world, usually, risks in estimation of project parameters are considerably high. Therefore, use of uncertain models, which is capable of formulating vagueness in the real world, to solve time–cost trade-off problems, gives a scheduling with more stability against environmental variations. On the other hand, crisp decision making in uncertain environment causes loss of some parts of information. This paper presents a new optimal model for time–cost trade-off problem in a fuzzy environment. In order to solve this problem, a new solution method for possibility goal programming problems is developed. The significant feature of this model is the determination of optimal duration for each activity in the form of triangular fuzzy numbers. To validate the algorithm developed here, a case study will be presented.
Starting Page	408
Ending Page	414
Page Count	7
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	42
Issue Number	3-4
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-07-30
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Time–cost trade-off Possibility goal programming Fuzzy sets Fuzzy decision variable Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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