Binary fuzzy goal programming for effective utilization of IT professionals

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Abstract

Utilization of IT professionals in software firms is an important problem in which vagueness is a very common factor. Most of these problems are multiobjective in nature and contain a large number of binary decision variables. In this work, a mathematical model is developed for allocating different categories of IT professionals, according to the requirement of various consultancy projects, as a binary fuzzy multiobjective programming problem. The considered objectives are effort maximization at all phases for executing the projects, and overall cost minimization of the firm. A binary fuzzy goal programming technique is applied to find the solution of the problem. A case example is presented based on the data collected from a software firm located at the Electronic Complex of Salt Lake, Sector-V, Kolkata, India and the effectiveness of the technique is demonstrated.

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Jana, R. K., Sanyal, M. K., & Chakrabarti, S. (2017). Binary fuzzy goal programming for effective utilization of IT professionals. In Advances in Intelligent Systems and Computing (Vol. 458, pp. 395–405). Springer Verlag. https://doi.org/10.1007/978-981-10-2035-3_40

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