Affiliations: [a] Research Scholar, National Institute of Technology, Mahatma Gandhi Avenue, Durgapur, West Bengal, India
| [b] Department of Mathematics, National Institute of Technology, Mahatma Gandhi Avenue, Durgapur, West Bengal, India
| [c] Department of Mathematics, Gobinda Prasad Mahavidyalaya, Amarkanan, Bankura, West Bengal, India
Correspondence:
[*]
Corresponding author. Supriya Kar, Research Scholar, National Institute of Technology, Mahatma Gandhi Avenue,
Durgapur-713209, West Bengal, India. E-mail: supriyakar1234@gmail.com.
Abstract: The paper presents the solution of a multi objective multi-index generalized assignment problem using Fuzzy Programming Technique which is a new concept. It emphasizes on minimization of the job cost and time at different sites where the jobs are being performed using different machines (medium). Multi objective assignment problem or multi objective generalized assignment problem have been solved in different ways by different mathematicians. But they have considered only two indices (jobs and alternatives). Here we have considered more than two indices and so it becomes a multi-index generalized assignment problem which makes it superior to the previous methods. This type of problem has not been solved earlier by our proposed method. Moreover in this paper Fuzzy Programming Technique has been used considering linear, exponential and hyperbolic (non-linear) membership functions for getting optimal solutions. Finally a real life application has been presented.
