Fuzzy inventory model with two warehouses under possibility measure on fuzzy goal

European Journal of Operational Research

Volumn 188, Issue 3, 2008, Pages 746-774

  Maiti, Manas Kumar ^a  

^a MAHISHADAL RAJ COLLEGE   (India)

Author keywords

Fuzzy simulation; Genetic algorithm; Necessity measure; Possibility measure

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; WAREHOUSES;

FUZZY SIMULATION; JOINT REPLENISHMENT; MULTI ITEM INVENTORY MODELS; PURCHASE COST; STOREHOUSE CAPACITY;

FUZZY SETS;

EID: 38749104727     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2007.04.046     Document Type: Article

References (36)

1. Bhuina A.K., and Maiti M. A two warehouse inventory model for a linear trend in demand. Opsearch 31 (1997) 318-329
2. Bierman H., and Thomas J. Inventory decision under inflanatory conditions. Decision Sciences 8 (1977) 151-155
3. Buzacott J.A. Economic order quantities with inflation. Operational Research Quarterly 26 3 (1975) 553-558
4. Chang S.C. Fuzzy production inventory for fuzzy product quantity with triangular fuzzy number. Fuzzy Sets and Systems 107 (1999) 37-57
5. Chang S.C., Yao J.S., and Lee H.Y. Economic reorder point for fuzzy backorder quantity. European Journal of Operational Research 109 (1998) 183-202
6. Datta T.K., and Pal A.K. Order level inventory system with power demand pattern for items with variable rate of deterioration. Indian Journal of Pure and Applied Mathematics 19 1 (1988) 1043-1053
7. Datta T.K., and Pal A.K. Effects of inflation and time-value of money on an inventory model with linear time-dependent demand rate and shortages. European Journal of Operational Research 52 (1991) 1-8
8. Dey J.K., and Maiti M. An eoq model with fuzzy lead time over a finite time horizon under inflation and time value of money. Tamsui Oxford Journal of Management Sciences 20 1 (2004) 57-77
9. Dubois D., and Prade H. The three semantics of fuzzy sets. Fuzzy Sets and Systems 90 (1997) 141-150
10. Dubois D., and Prade H. Ranking fuzzy numbers in the setting of possibility theory. Information Sciences 30 (1983) 183-224
11. Giri B.C., Pal S., Goswami A., and Chaudhuri K.S. An inventory model for deteriorating items with stock dependent demand rate. European Journal of Operational Research 95 (1996) 604-610
12. Goldberg D.E. Genetic Algorithms: Search, Optimization and Machine Learning (1989), Addison Wesley, Massachusetts
13. Hariga M.A. Effects of inflation and time value of money on an inventory model with time-dependent demand rate and shortages. European Journal of Operational Research 81 3 (1995) 512-520
14. Ishii H., and Konno T. A stochastic inventory problem with fuzzy shortage cost. European Journal of Operational Research 106 (1998) 90-94
15. Kacprzyk J., and Staniewski P. Long term inventory policy-making through fuzzy decision making models. Fuzzy Sets and System 8 (1982) 117-132
16. Kao C., and Hsu W.K. A single period inventory model with fuzzy demand. Computers & Mathematics with Applications 43 (2002) 841-848
17. Kar S., and Maiti M. Deterministic inventory model with two-levels of storage a linear trend in demand and a fixed time horizon. Computers and Operational Research 28 (2001) 1315-1331
18. Katagiri H., and Ishii H. Some inventory problems with fuzzy shortage cost. Fuzzy Sets and Systems 111 (2000) 87-97
19. Katagiri H., and Ishii H. Fuzzy inventory problems for perishable commodities. European Journal on Operational Research 138 (2002) 545-553
20. Katagiri H., Sakawa M., Kato K., and Nishizaki I. A fuzzy random multiobjective 0-1 programming based on the expectation optimization model using possibility and necessity measures. Mathematical and Computer Modelling 40 (2004) 411-421
21. Levin R.I., Mclaughlin C.P., Lamone R.P., and Kottas J.F. Production/Operations Management: Contemporary policy for managing operating system (1972), McGraw-Hill, New York
22. Liu B., and Iwamura K. Chance constrained programming with fuzzy parameters. Fuzzy Sets and Systems 94 (1998) 227-237
23. Liu B., and Iwamura K. A note on chance constrained programming with fuzzy coefficients. Fuzzy Sets and Systems 100 (1998) 229-233
24. Maiti M.K., and Maiti M. Fuzzy inventory model with two warehouses under possibility constraints. Fuzzy Sets and Systems 157 (2006) 52-73
25. Maiti M.K., and Maiti M. Two storage inventory model with lot size dependent fuzzy lead time under possibility constraints via genetic algorithm. European Journal of Operational Research 179 (2007) 352-371
26. Mandal B.N., and Phaujder S. An inventory model for deteriorating items and stock-dependent consumption rate. Journal of the Operational Research Society 40 (1989) 483-488
27. Mandal M., and Maiti M. Inventory of damageable items with variable replenishment and stock dependent demand. Asia Pacific Journal of Operational Research 17 (2000) 41-54
28. Mandal N.K., Roy T.K., and Maiti M. Multi-objective fuzzy inventory model with three constraints: A geometric programming approach. Fuzzy Sets and Systems 150 (2005) 87-106
29. Michalewicz Z. Genetic Algorithms + Data Structures = Evolution Programs (1992), Springer, Berlin
30. Sarma K.V.S. A deterministic order level inventory model for deteriorating items with two storage facilities. European Journal of Operations Research 29 (1997) 70-72
31. Schary A., and Becker R.C. Distribution and final demand. The influence of availability. Mississippi Valley Journal of Business and Economics 8 (1972) 17-26
32. Urban T.L. An inventory model with an inventory level dependent demand rate and related terminal conditions. Journal of Operational Research Society 43 (1992) 721-724
33. Wolfe H.B. A model for control of style merchandise. Industrial Management Review 9 (1968) 69-82
34. Yao J.S., and Lee H.M. Fuzzy inventory with or without backorder for fuzzy order quantity with trapezoid fuzzy number. Fuzzy Sets and Systems 105 (1999) 311-337
35. Yao J.S., and Su J.S. Fuzzy inventory with backorder for fuzzy total demand based on intervalued fuzzy set. European Journal of Operations Research 124 (2000) 390-408
36. Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1 (1978) 3-28