Fuzzy inventory model for deteriorating items with permissible delay in payment

Applied Mathematics and Computation

Volumn 182, Issue 1, 2006, Pages 711-726

  Chen, Liang Ho ^a,b   Ouyang, Liang Yuh ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

^b TUNG NAN INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Fuzzy inventory; Interval valued fuzzy number; Permissible delay in payment; Signed distance; Triangular fuzzy number

Indexed keywords

FINANCE; NUMBER THEORY; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING; PUBLIC POLICY;

FUZZY INVENTORY; INTERVAL VALUED FUZZY NUMBER; PERMISSIBLE DELAY IN PAYMENT; SIGNED DISTANCE; TRIANGULAR FUZZY NUMBER;

FUZZY SETS;

EID: 33751238524     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2006.04.035     Document Type: Article

References (21)

1. Aggarwal S.P., and Jaggi C.K. Ordering policies of deteriorating items under permissible delay in payments. Journal of the Operational Research Society 46 (1995) 658-662
2. Bazarra M., Sherali H., and Shetty C.M. Nonlinear Programming. second ed. (1993), Wiley, New York
3. Chang H.C. An application of fuzzy sets theory to the EOQ model with imperfect quality items. Computers & Operations Research 31 (2004) 2079-2092
4. Chang H.C., Yao J.S., and Ouyang L.Y. Fuzzy mixture inventory model with variable lead-time based on probabilistic fuzzy set and triangular fuzzy number. Mathematical and Computer Modelling 39 (2004) 287-304
5. Chang S. Fuzzy production inventory for fuzzy product quantity with triangular fuzzy number. Fuzzy Sets and Systems 107 (1999) 37-57
6. Das K., Roy T.K., and Maiti M. Multi-item stochastic and fuzzy-stochastic inventory models under two restrictions. Computers & Operations Research 31 (2004) 1793-1806
7. Gorzalczany M.B. A method of inference in approximate reasoning based on interval-valued fuzzy set. Fuzzy Sets and Systems 21 (1987) 1-17
8. Ishii H., and Konno T. A stochastic inventory problem with fuzzy shortage cost. European Journal Operational Research 106 (1998) 90-94
9. Jamal A.M.M., Sarker B.R., and Wang S. An ordering policy for deteriorating items with allowable shortage and permissible delay in payment. Journal of Operations Research Society 48 (1997) 826-833
10. Katagiri H., and Ishii H. Some inventory problems with fuzzy shortage cost. Fuzzy Sets and Systems 111 (2000) 87-97
11. Kaufmann A., and Gupta M.M. Introduction to Fuzzy Arithmetic: Theory and Applications (1991), Van Nostrand Reinhold, New York
12. Ouyang L.Y., and Chang H.C. The variable lead time stochastic inventory model with a fuzzy backorder rate. Journal of Operations Research Society of Japan 44 (2001) 1
13. Ouyang L.Y., and Wu K.S. A minimax distribution free procedure for mixed inventory model with variable lead time. International Journal of Production Economics 56-57 (1998) 511-516
14. Ouyang L.Y., and Yao J.S. A minimax distribution free procedure for mixed inventory model involving variable lead time with fuzzy demand. Computers & Operations Research 29 (2002) 471-487
15. Petrović D., Petrović R., and Vujošević M. Fuzzy models for the newsboy problem. International Journal of Production Economics 45 (1996) 435-441
16. Pu P.M., and Liu Y.M. Fuzzy topology 1. Neighborhood structure of a fuzzy point and Moore-Smith convergence. Journal of Mathematical Analysis and Applications 76 (1980) 571-599
17. Vujošević M., Petrović D., and Petrović R. EOQ formula when inventory cost is fuzzy. International Journal of Production Economics 45 (1996) 499-504
18. Yao J.S., Chang S.C., and Su J.S. Fuzzy inventory without backorder for fuzzy order quantity and fuzzy total demand quantity. Computers & Operations Research 27 (2000) 935-962
19. Yao J.S., and Lee H.M. Fuzzy inventory with backorder for fuzzy order quantity. Information Sciences 93 (1996) 283-319
20. Yao J.S., and Su J.S. Fuzzy inventory with backorder for fuzzy total demand based on interval-valued fuzzy set. European Journal of Operational Research 124 (2000) 390-408
21. Yao J.S., and Wu K. Ranking fuzzy numbers based on decomposition principle and signed distance. Fuzzy Sets and Systems 116 (2000) 275-288