Main Article Content
Abstract
Purpose of study: Main aim of this study is to deals with the problem of inventories. Their holding cost, set-up cost, and many more related to that. All the problems are flexible and having fuzzy nature.
Methodology: The model takes the form of a Geometric Programming problem. Hence geometric programming algorithm is used here.
Main Finding: The developed models may be used for a single item with a single constraint of limitation on storage area and multi-item inventory problems.
Application of this study: This study is useful in the area of inventories. There holding cost and set-up cost etc.
The originality of this study: This study may help the stockholders for storing goods and minimizing the cost of holding.
Keywords
Article Details
Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal.
Publishing License
This is an open-access article distributed under the terms of
References
- Burnwal, A. P.(2008). A fuzzy mathimatical programming model for stock control problem. Applied Science Periodical, X(2),126-129.
- Burnwal, A.P., Mukerjee, S.N., Singh, D.(1999). An additive fuzzy geometric programming for inventory control problem with normalized weights as exponents. Mathematics and statistics in engineering and technology. Narosa publishing house, New Delhi (1999), P 160.
- Duffin, R.J., Petersen, F.I. & Zener, C. (1997). Geometric programming: Theory and Application. John Willey and Sons, New York.
- Kumar, M., Chakraborty, M. and Singh, D.(1999). Quadratic programming Under Fuzzy Environment, Mathematics and Statistics in Engineering and Technology. Narosa Publishing House, New Delhi.
- Rao, S.S. (2013). Engineering Theory and Practice. New Age International (P) Ltd. Publishers, New Delhi.
- Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 1, 338. https://doi.org/10.1016/S0019-9958(65)90241-X DOI: https://doi.org/10.1016/S0019-9958(65)90241-X
- Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1, 45. https://doi.org/10.1016/0165-0114(78)90031-3 DOI: https://doi.org/10.1016/0165-0114(78)90031-3
References
Burnwal, A. P.(2008). A fuzzy mathimatical programming model for stock control problem. Applied Science Periodical, X(2),126-129.
Burnwal, A.P., Mukerjee, S.N., Singh, D.(1999). An additive fuzzy geometric programming for inventory control problem with normalized weights as exponents. Mathematics and statistics in engineering and technology. Narosa publishing house, New Delhi (1999), P 160.
Duffin, R.J., Petersen, F.I. & Zener, C. (1997). Geometric programming: Theory and Application. John Willey and Sons, New York.
Kumar, M., Chakraborty, M. and Singh, D.(1999). Quadratic programming Under Fuzzy Environment, Mathematics and Statistics in Engineering and Technology. Narosa Publishing House, New Delhi.
Rao, S.S. (2013). Engineering Theory and Practice. New Age International (P) Ltd. Publishers, New Delhi.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 1, 338. https://doi.org/10.1016/S0019-9958(65)90241-X DOI: https://doi.org/10.1016/S0019-9958(65)90241-X
Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1, 45. https://doi.org/10.1016/0165-0114(78)90031-3 DOI: https://doi.org/10.1016/0165-0114(78)90031-3