(Q, r) Inventory policies in a fuzzy uncertain supply chain environment

European Journal of Operational Research

Volumn 197, Issue 2, 2009, Pages 609-619

  Handfield, Robert ^a   Warsing, Don ^a   Wu, Xinmin ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

(Q, r) System; Fuzzy sets; Inventory; Optimization

Indexed keywords

INVENTORY CONTROL; RISK MANAGEMENT; RISK PERCEPTION; STOCHASTIC MODELS; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

(Q, R) SYSTEM; BUSINESS OPERATIONS; DECISION MAKERS; DEFUZZIFICATION METHODS; FUZZY-SET; HUMAN RISKS; INVENTORY; INVENTORY POLICIES; INVENTORY SYSTEMS; LEAD-TIME; MODEL-BASED; NUMERICAL EXAMPLES; PENALTY COSTS; RISK AND UNCERTAINTIES; RISK FACTORS; SOURCES OF UNCERTAINTIES; STOCHASTIC PARAMETERS; TOTAL COSTS; TRIANGULAR FUZZY NUMBERS;

FUZZY SETS;

EID: 60649115627     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2008.07.016     Document Type: Article

References (20)

1. Chang S.C. Fuzzy production inventory for fuzzy product quantity with triangular fuzzy number. Fuzzy Sets and Systems 107 (1999) 37-57
2. Elkins D., Handfield R., Blackhurst J., and Craighead C.W. 18 Ways to guard against disruption. Supply Chain Managment Review January/February (2005)
3. Finkel, D.E., 2005. Global optimization with the DIRECT algorithm, Ph.D. Thesis, NC State University, .
4. Giachetti R., and Young R. Analysis of the error in the standard approximation used for multiplication of triangular and trapezoidal fuzzy numbers and the development of a new approximation. Fuzzy Set and Systems 91 (1997) 1-13
5. Kaufmann A., and Gupta M.M. Fuzzy Mathematical Models in Engineering and Management Science (1988), North-Holland, Amsterdam, Netherlands
6. Law A.M., and Kelton W.D. Simulation. Simulation Modeling and Analysis (2000), McGraw-Hill
7. Mondal S., and Maiti M. Multi-item fuzzy EOQ models using genetic algorithm. Computers & Indutrial Engineering 44 (2002) 105-117
8. Nahmias S. Production and Operations Analysis (1997), McGraw-Hill
9. Pai P.F., and Hsu M.M. Continuous review reorder point problems in a fuzzy environment. The International Journal of Advanced Manufacturing Technology 22 (2003) 436-440
10. Petrovic D., Petrovic R., and Vujosevic M. Fuzzy models for the newsboy problem. International Journal Production Economics 45 (2001) 435-441
11. Petrovic D., Roy R., and Petrovic R. Modeling and simulation of a supply chain in an uncertain environment. European Journal of Operational Research 109 (1998) 200-309
12. Petrovic D., Roy R., and Petrovic R. Supply chain modeling using fuzzy sets. International Journal Production Economics 59 (1999) 443-453
13. Vujosevic M., Petrovic D., and Petrovic R. EOQ formula when inventory cost is fuzzy. International Journal Production Economics 45 (1996) 499-504
14. Wang J., and Shu Y.F. Fuzzy decision modeling for supply chain management. Fuzzy Sets and Systems 150 (2005) 107-127
15. Xie Y., Petrovic D., and Burnham K. A heuristic procedure for the two-level control of serial supply chains under fuzzy customer demand. International Journal Production Economics 102 (2006) 37-50
16. Yager R.R. On the measure of fuzziness and negation part I: Membership in the unit interval. International Journal of General Systems 5 (1979) 221-229
17. Yimer, A.D., Demirli, K., 2004. Fuzzy modeling and simulation of a single item inventory system with variable demand. In: Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS 2004, vol. 2, pp. 985-989.
18. Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1 (1978) 3-28
19. Zimmermann H.J. Fuzzy Set Theory and Its Application (2001), International Thomson Publishing, Norwell, Massachusetts
20. Zipkin P.H. Foundations of Inventory Management (2000), McGraw-Hill