As of August 2024, International Journal "Notes on Intuitionistic Fuzzy Sets" is being indexed in Scopus.
Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: March 2025.

Issue:Intuitionistic fuzzy optimization technique for the solution of an EOQ model

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/17/2/52-64
Title of paper: Intuitionistic fuzzy optimization technique for the solution of an EOQ model
Author(s):
Susovan Chakrabortty
Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore-721 102, India
susovan_chakrabortty@ymail.com
Madhumangal Pal
Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore-721 102, India
mmpalvu@gmail.com
Prasun Kumar Nayak
Bankura Christian College, Bankura, 722 101, India
nayak prasun@rediffmail.com
Presented at: 15th ICIFS, Burgas, 11-12 May 2011
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 17 (2011) Number 2, pages 52—64
Download:  PDF (205  Kb, File info)
Abstract: A purchasing inventory model with shortages where carrying cost, shortage cost, setup cost and demand quantity are considered as fuzzy numbers. The fuzzy parameters are transformed into corresponding interval numbers and then the interval objective function has been transformed into a classical multi-objective economic ordering quantity (EOQ) problem. To minimize the interval objective function, the order relation that represent the decision maker’s preference between interval objective functions have been defined by the right limit, left limit, center and half width of an interval. Finally, the equivalent transformed problem has been solved by intuitionistic fuzzy programming technique. The proposed method is illustrated with a numerical example and sensitivity analysis has been done.
Keywords: Economic order quantity, Fuzzy demand, Fuzzy inventory cost parameters, Interval arithmetic, multi-objective programming, Intuitionistic fuzzy sets, Intuitionistic fuzzy optimization technique.
AMS Classification: 03E72
References:
  1. A. Sengupta and T. K. Pal, On comparing interval numbers, European Journal of Operational Research, 127(1) (2000) 28 - 43.
  2. Atanassov, K. Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986) 87–96.
  3. Atanassov, K. Intuitionistic fuzzy sets: Theory and Applications, Physica-Verlag, 1999.
  4. Chung, K. J. An algorithm for an inventory model with inventory-level-dependent demand rate, Computational Operation Research, 30 (2003) 1311–1317.
  5. Park, K. S. Fuzzy set theoretic interpretation of economic order quantity, IEEE Transactions on Systems, Man and Cybernetics, SMC, 17 (1987) 1082–1084.
  6. Lin D. C., J.S. Yao. Fuzzy economic production for production inventory, Fuzzy Sets and Systems, 111 (2000) 465–495.
  7. Haris, F. How many parts to make at once, Factory, The Magazine of Management, 10(2)(1913), 135–136, 152.
  8. Ishibuchi, H., H. Tanaka. Multiobjective programming in optimization of the interval objective function, European Journal of Operational Research, 48 (1990) 219–225.
  9. Zimmermann, H.-J. Fuzzy Set Theory and its Application, Kluwer Academic Publishers, Boston, 1991.
  10. Zadeh, L. A. Fuzzy sets, Information and Control, 8 (1965) 338–352.
  11. Vujosevic, M., D. Petrovic, R. Petrovic. EOQ formula when inventory cost is fuzzy, International Journal of Production Economics, 45 (1996) 499–504.
  12. Gen, M., Y. Tsujimura, D. Zheng. An application of fuzzy set theory to inventory contol models, Computers and Industrial Engineering, 33 (1997) 553–556.
  13. Grzegorzewski, P. Nearest interval approximation of a fuzzy number, Fuzzy Sets and Systems, 130 (2002) 321–330.
  14. Nayak, P. K., M. Pal. The Bi-matrix games with interval pay-offs and its Nash Equlibrium strategy The Journal of Fuzzy Mathematics, 17(2)(2009) 421–435.
  15. Nayak, P. K., M. Pal. Bi-matrix games with intuitionistic fuzzy goals Iranian Journal of Fuzzy Systems, 1(7)(2010) 65–79.
  16. Nayak, P. K., M. Pal. Intuitionistic fuzzy optimization technique for Nash equilibrium solution of multi-objective bi-matrix games, to appear in Journal of Uncertain Systems.
  17. Moore, R.E. Method and Application of Interval Analysis, SIAM, Philadelphia, 1979.
  18. Bellman, R.E., L.A.Zadeh, Decision making under fuzzy enviornment, Management Science, 17(1970) 209–215.
  19. Steuer, R.E. Algorithm for linear programming problems with interval objective function coefficients, Mathematics of operation research, 6(1981) 333–348.
  20. Tang, S. Interval number and fuzzy number linear programming, Fuzzy Sets and Systems, 66(1994) 301–306.
  21. Chakrabortty, S., M. Pal, P.K. Nayak. Multisection technique to solve interval-valued purchasing inventory models without shortage, Journal of Information and Computing Science, 5(3)(2010) 173–182.
  22. Chakrabortty, S., M. Pal, P.K. Nayak. Solution of interval-valued manufacturing inventory model with shortages, International Journal of Engineering and Physical Sciences, 2010, 4:2 96–101.
Citations:

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.