Fuzzy forecasting applications on supply chains

WSEAS Transactions on Systems

Volumn 7, Issue 5, 2008, Pages 600-609

  Tozan, Hakan ^a   Vayvay, Ozalp ^a  

^a Turkish Naval Academy   (Turkey)

Author keywords

Forecasting; Fuzzy regression; Fuzzy time series; Grey fuzzy; Supply chain

Indexed keywords

BEER GAME; BEST FIT; DECISION MAKING PROCESS; DEMAND FORECASTING; DEMAND INFORMATION; DEMAND PATTERN; DEMAND VARIABILITY; FORECASTING MODELS; FUZZY FORECASTING; FUZZY LINEAR REGRESSION; FUZZY PARAMETER; FUZZY REGRESSION; FUZZY TIME SERIES; GREY FUZZY; HARD DECISIONS; SUPPLY CHAIN PERFORMANCE; SUPPLY CHAIN SIMULATION; WHIPLASH EFFECT;

BEVERAGES; COMPETITION; DECISION MAKING; FORECASTING; REGRESSION ANALYSIS; SUPPLY CHAIN MANAGEMENT; TIME SERIES;

SUPPLY CHAINS;

EID: 67849122144     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (35)

1. Christopher M., Logistic and Supply Chain Management, Pitman Publishing, London, UK, 1994, pp.30.
2. Tozan H., Vayvay O., Analyzing Demand Variability Through SC Using Fuzzy Regression and Grey GM(1,1) Forecasting Models, Information Sciences 2007, World Scientific, 2007, pp. 1088--1094.
3. Forrester J., Industrial Dynamics: A major breakthrough for decision makers, Harvard Business Review, 36, 1958, pp. 37-66.
4. Forrester J., Industrial Dynamics, MIT Press, Cambridge, MA, 1961.
5. Sterman J.D., Modeling Managerial Behavior: Misperception of Feedback in a Dynamic Decision Making Experiment, Management Science, 35, 1989, pp.321-399.
6. Sterman J.D., Deterministic Chaos in an Experimental Economic System, Journal of Economic Behavior and Organization, 12, 1989, pp.1-28.
7. http://beergame.uni-klu.ac.at/bg.htm, 2008.
8. Larsen E.R., Morecroft J.D., Thomsen J.S., Complex Behavior in a Production-Distribution model, European Journal of Operation Research, 119, 1999, pp. 61-14.
9. Lee H. L., Padmanabhan V., Whang S., The Bullwhip Effect in Supply Chains, MIT Sloan Management Rev., 38, 1997a, pp. 93-102.
10. Lee H. L., Padmanabhan V., Whang S., Information Distortion in a Supply Chain: The bullwhip effect, Management Science, 43, 1997b, pp. 546-558.
11. Lee H. L., Aligning Supply Chain Strategies with Product Uncertainties, California Management Review, 44, 2002, pp. 105-119.
12. Lee H. L., Padmanabhan V., Whang S., Information Distortion in a Supply Chain: The bullwhip effect, Management Science, 50, 2004, pp. 1875-1886.
13. Baganha M., Cohen M., The Stabilizing Effect of Inventory in Supply Chains, Operations Research, 46, 1998, pp.572-583.
14. Graves S. C., A Single Inventory Model foe a Nonstationary Demand Process, Manufacturing &Service Operations Management, 1, 1999, pp.50-61.
15. Drezner Z., Ryan J., Simchi-Levi D., Quantifiying the Bullwhip Effect: The impact of forecasting, lead time and information, Management Science, 46 (3), 2000, pp.436-443.
16. Chen F., Drezner Z., Ryan J., Simchi-Levi D.,The Impact of Exponential Smoothing Forecasts on the Bullwhip Effect, Naval Research Logistics, 47, 2000, pp. 269-286.
17. Li G., Wang S., Yan H., Yu G., Information Transportation in Supply Chain, Computers and Operation Research, 32, 2005, 707-725.
18. Song Q., Chissom B. S., Forecasting Enrollments with Fuzzy Time Series, Fuzzy Sets and Systems, 54, 1993, pp. 1-9.
19. Song Q., Chissom B. S., Fuzzy Time Series and Its Models, Fuzzy Sets and Systems, 54, 1993, pp. 269-277.
20. Song Q., Chissom B. S., Forecasting Enrollments with Fuzzy Time Series Part II, Fuzzy Sets and Systems, 62, 1994, pp. 1-8.
21. Wang C.H., Predicting Tourism Demand Using Fuzzy Time Series and Hybrid Grey Theory, Tourism Management, 25, 2004, pp.367-374.
22. Li S., Cheng Y., A Hidden Markov Model-based Forecasting Model for Fuzzy Time Series, WSEAS Transactions on System, 5, 2006, pp. 1919-1925
23. Kahraman C., Fuzzy Applications in Industrial Engineering,, 1th edt., Springer, 2006, pp.40-55.
24. Tanaka H., Uejima S., Asai K., Fuzzy Linear Regression Model, IEEE Trans. System, Man and Cybernet, 12 , 1982, pp. 903-907.
25. Tanaka H., Watada J., Possibilistic Linear Systems and Their Application to the Linear Regression Model, Fuzzy Sets and Systems, 27, 1988, pp.275-289.
26. Wang, H.F., Tsaur R.H., Insight of a Fuzzy Regression Model, Fuzzy Sets and Systems, 2000, 112, pp. 355-369.
27. Tsaur RC., Fuzzy Grey GM(1,1) Model Under Fuzzy Systems, International Journal of Computer Mathematics, 82 No.2, 2005, pp.141-149.
28. Elias Ch. N., Tsekouras G. J., Kavatza S., Contaxis G.C., A Midterm Energy Forecasting Method Using Fuzzy Logic, WSEAS Transactions on System, 3, 2004, pp. 2128-2136.
29. George A., Ucenic C., Forecasting the Wind Energy Production Using a Neuro-fuzzy Model, WSEAS Transactions on Environment and Development, 2, 2006, pp. 823-829
30. Ross T. J., Fuzzy Logic with Engineering Applications, 2th edt., John Wiley and Sons, 2005, pp.555-567.
31. Hwang J., Chen S.M., Lee C.H., Handling Forecasting Problems Using Fuzzy Time Series, Fuzzy Sts and Systems, 100, 1998, pp.217-228.
32. Deng,,L.J., Grey Prediction and Decision (in Chinese), Huazong Institute Of Technology Press, Wuhan, China, 1989
33. Deng,,L.J., The Journal of Grey Systems,1, 1989, pp.1-24.
34. Makui, A., Madadi A., The Bullwhip Effect and Lyapunov Exponent, Applied Mathematics and Computation, 189, 2007, pp. 35-40,
35. Paik S.K., Analysis of the Causes of Bullwhip Effect in Supply Chain: A Simulation Approach, George Washington University, 2003