APPLICATION OF MULTIPLE FUZZY GOALS PROGRAMMING TO PROJECT MANAGEMENT DECISIONS
DOI:
https://doi.org/10.23055/ijietap.2006.13.2.439Keywords:
Multiple fuzzy goals programming, Project management decisions, Fuzzy linear programming, Fuzzy goal programming, Fuzzy sets theoryAbstract
In most practical situations, the project decision maker (DM) must handle conflicting objectives that govern the use of the
organization's resources. These conflicting objectives are required to be optimized simultaneously by the DMin the
framework of fuzzy aspiration levels. This work develops a novel multiple fuzzy goals programming (MFGP) model for
solving project management (PM) decision problems in a fuzzy environment. The proposed model attempts to minimize
total project costs, total completion time and total crashing costs with reference to direct costs, indirect costs, contractual
penalty costs, duration of activities and budget constraint. An industrial case shows the feasibility of applying the proposed
model to a PM decision problem. The proposed model yields an efficient compromise PM plan and the OM's overall level
of satisfaction. In particular, several significant characteristics of the proposed model, which contrast with those of the
major PM decision models, are presented.
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