An integration methodology based on fuzzy inference systems and neural approaches for multi-stage supply-chains

Computers and Industrial Engineering

Volumn 62, Issue 2, 2012, Pages 554-569

  Efendigil, Tuǧba ^a   Önüt, Semih ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Forecasting; Fuzzy inference systems; Multi stage supply chain integration; Neural networks

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; CONSUMER GOODS; FUZZY INFERENCE SYSTEMS; ISTANBUL , TURKEY; LEAD-TIME INFORMATION; MULTI-STAGE; STATISTICAL TECHNIQUES; UNCERTAIN ENVIRONMENTS;

CONSUMER ELECTRONICS; ELECTRONICS INDUSTRY; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; INTEGRATION; NEURAL NETWORKS; SENSITIVITY ANALYSIS; SUPPLY CHAINS;

FUZZY NEURAL NETWORKS;

EID: 84855817662     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2011.11.004     Document Type: Article

References (60)

1. L. Aburto, and R. Weber Improved supply chain management based on hybrid demand forecasts Applied Soft Computing 7 2007 136 144 (Pubitemid 44739424)
2. H. Akkermans, P. Bogerd, and B. Vos Virtuous and vicious cycles on the road towards international supply chain management International Journal of Operations & Production Management 19 5/6 1999 565 581
3. G. Barbarosoglu An integrated supplier-buyer model for improving supply chain coordination Production Planning and Control 11 8 2000 732 741 (Pubitemid 35394392)
4. J. Bode Neural networks for cost estimation: Simulations and pilot application International Journal of Production Research 38 6 2000 1231 1254 (Pubitemid 35395514)
5. R. Carbonneau, K. Laframboise, and R. Vahidov Application of machine learning techniques for supply chain demand forecasting European Journal of Operational Research 184 2008 1140 1154 (Pubitemid 47391154)
6. S. Cavalieri, P. Maccarrone, and R. Pinto Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry International Journal of Production Economics 91 2004 165 177
7. F. Chen, Z. Drezner, J.K. Ryan, and D. Simchi-Levi Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information Management Science 46 3 2000 436 443 (Pubitemid 30596821)
8. F. Chen, J.K. Ryan, and D. Simchi-Levi The impact of exponential smoothing forecasts on the bullwhip effect Naval Research Logistics 47 4 2000 269 286
9. C. -L. Chen, B. -W. Wang, and W. -C. Lee Multiobjective optimization for a multienterprise supply chain network Industrial and Engineering Chemistry Research 42 2003 1879 1889 (Pubitemid 36519823)
10. C. -L. Chen, and W. -C. Lee Optimization of multi-echelon supply chain networks with uncertain sales prices Journal of Chemical Engineering of Japan 37 7 2004 822 834 (Pubitemid 39267246)
11. C. -L. Chen, and W. -C. Lee Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices Computers and Chemical Engineering 28 2004 1131 1144 (Pubitemid 38520964)
12. M. Chiu, and G. Lin Collaborative supply chain planning using the artificial neural network approach Journal of Manufacturing Technology Management 15 8 2004 87 796
13. S. Chopra, and P. Meindl Supply chain management: Strategy, planning and operation 2001 Prentice-Hall NJ
14. K.L. Choy, W.B. Lee, and V. Lo Intelligent supplier management tools for benchmarking suppliers in outsource manufacturing Expert Systems with Applications 22 3 2002 213 224 (Pubitemid 34182208)
15. K.L. Choy, W.B. Lee, and V. Lo Design of a case based intelligent supplier relationship management system-the integration of supplier rating system and product coding system Expert Systems with Applications 25 1 2003 87 100
16. K.L. Choy, W.B. Lee, and V. Lo Design of an intelligent supplier relationship management system: A hybrid case based neural network approach Expert Systems with Applications 24 2 2003 225 237
17. T.C.-T. Du, and P.M. Wolfe Implementation of fuzzy logic systems and neural networks in industry Computers in Industry 32 1997 261 272 (Pubitemid 127416231)
18. T. Efendigil, S. Önüt, and C. Kahraman A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis Expert Systems with Applications 36 3 2009 6697 6707
19. T. Efendigil, S. Önüt, and E. Kongar A holistic approach for selecting a third-party reverse logistics provider in the presence of vaguness Computers and Industrial Engineering 54 2 2008 269 287 (Pubitemid 350225618)
20. Escoda, I., Ortega, A., Sanz, A., & Herms, A. (1997). Demand forecast by neuro-fuzzy techniques. In Proceedings of the sixth IEEE international conference on fuzzy systems, Barcelona, Spain (pp. 1381-1386).
21. L.K. Gaafar, and M.H. Choueiki A neural network model for solving the lot-sizing problem Omega 28 2000 175 184
22. M. Garetti, and M. Taisch Neural networks in product ion planning and control Production Planning and Control 10 4 1999 324 339
23. R.B. Handfield, and E.L. Nichols Introduction to supply chain management 1999 Prentice-Hall Englewood Cliffs, NJ
24. A.N. Haq, and G. Kanan Effect of forecasting on the multi-echelon distribution inventory supply chain cost using neural network, genetic algorithm and particle swarm optimization International Journal of Services Operations and Informatics 1 1/2 2006 1 22
25. H. Hruschka Determining market response functions by neural network modeling: A comparison to econometric techniques European Journal of Operational Research 66 1993 27 35
26. R. Kawtummachai, and N. Van Hop Order allocation in a multiple-supplier environment International Journal of Production Economics 93-94 2005 231 238
27. R.J. Kuo A decision support system for the stock market through integration of fuzzy neural networks and fuzzy delphi Applied Artificial Intelligence 12 1998 501 520 (Pubitemid 127641137)
28. R.J. Kuo A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm European Journal of Operational Research 129 2001 496 517 (Pubitemid 32086840)
29. R.J. Kuo, and J.A. Chen A decision support system for order selection in electronic commerce based on fuzzy neural network supported by real-coded genetic algorithm Expert Systems with Applications 26 2004 141 154
30. R.J. Kuo, P. Wu, and C.P. Wang An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination Neural Networks 15 2002 909 925 (Pubitemid 35303335)
31. R.J. Kuo, and K.C. Xue A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights Decision Support Systems 24 1998 105 126 (Pubitemid 128425890)
32. R.J. Kuo, and K.C. Xue An intelligent sales forecasting through integration of artificial neural network and fuzzy neural network Computers in Industry 37 1998 1 15 (Pubitemid 128424370)
33. R.J. Kuo, and K.C. Xue Fuzzy neural networks with application to sales forecasting Fuzzy Sets and Systems 108 1999 123 143 (Pubitemid 30498247)
34. H.C.W. Lau, I.K. Hui, F.T.S. Chan, and C.W.Y. Wong Monitoring the supply of products in a supply chain environment: A fuzzy neural approach Expert Systems 19 4 2002 235 243
35. H.C.W. Lau, W.B. Lee, and P.K.H. Lau Development of an intelligent decision support system for benchmarking assessment of business partners Benchmarking: An International Journal 8 5 2001 376 395
36. H.C.W. Lau, A. Ning, K.F. Pun, K.S. Chin, and W.H. Ip A knowledge-based system to support procurement decision Journal of Knowledge Management 9 1 2005 87 100 (Pubitemid 40757278)
37. H.L. Lee, V. Padmanabhan, and S. Whang The bullwhip effect in supply chains Sloan Management Review 38 1997 93 102
38. J.H. Lee, and S.C. Park Intelligent profitable customers segmentation system based on business intelligence tools Expert Systems with Applications 29 1 2005 145 152 (Pubitemid 40454400)
39. Leung, H. C. (1995). Neural networks in supply chain management. In Proceedings of the '95 IEEE annual international engineering management conference, Singapore (pp. 347-352).
40. W.Y. Liang, and C.C. Huang Agent-based demand forecast in multi-echelon supply chain Decision Support Systems 42 1 2006 390 407
41. G. Liansheng, S. Gang, and W. Shuchun Intelligent scheduling model and algorithm for manufacturing Production Planning and Control 11 3 2000 234 243 (Pubitemid 35394353)
42. J.T. Luxhøj, J.O. Riis, and B. Stensballe A hybrid econometric-neural network modeling approach for sales forecasting International Journal of Production Economics 43 1996 175 192 (Pubitemid 126370175)
43. S. Makridakis, S.C. Wheelwright, and R.J. Hyndman Forecasting: Methods and applications 3rd ed. 1998 John Wiley & Sons New York
44. K. Metaxiotis, and J. Psarras Neural networks in production scheduling: Intelligent solutions and future promises Applied Artificial Intelligence 17 2003 361 373
45. Y.B. Moon, and R. Janowski A neura l network approach for smoothing and categorizing noisy data Computers in Industry 26 1995 23 39
46. I. Sabuncuoglu Scheduling with neural networks: A review of the literature and new research directions Production Planning and Control 9 1 1998 2 12 (Pubitemid 128623409)
47. H. Selim, C. Araz, and I. Ozkarahan Collaborative production-distribution planning in supply chain: A fuzzy goal programming approach Transportation Research Part E: Logistics and Transportation Review 44 3 2008 396 419
48. S. Shervais, T.T. Shannon, and G.G. Lendaris Intelligent supply chain management using adaptive critic learning IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 33 2 2003 235 244
49. S. Talluri, and R.C. Baker A multi-phase mathematical programming approach for effective supply chain design European Journal of Operational Research 141 2002 544 558
50. P. Tsiakis, N. Shah, and C.C. Pantelides Design of multi-echelon supply chain networks under demand uncertainity Industrial and Engineering Chemistry Research 40 16 2001 3585 3604 (Pubitemid 33010125)
51. T. Van der Vaart, and D.P. Van Donk Buyer focus: Evaluation of a new concept for supply chain integration International Journal of Production Economics 92 2004 21 30
52. D.P. Van Donk, and T. Van der Vaart A case of shared resources, uncertainty and supply chain integration in the process industry International Journal of Production Economics 96 2005 97 108 (Pubitemid 40135613)
53. A. Vellido, P.J.G. Lisboa, and J. Vaughan Neural networks in business: A survey of applications (1992-1998) Expert Systems with Applications 17 1999 51 70 (Pubitemid 129664853)
54. S.K. Vickery, J. Jayaram, C. Droge, and R. Calantone The effects of an integrative supply chain strategy on customer service and financial performance. An analysis of direct versus indirect relationships Journal of Operations Management 21 2003 523 539
55. B.K. Wong, T.A. Bodnovich, and Y. Selvi Neural network applications in business: A review and analysis of the literature (1988-95) Decision Support Systems 19 1997 301 320 (Pubitemid 127417421)
56. B.K. Wong, S.V. Lai, and J. Lam A bibliography of neural network business applications research: 1994-1998 Computers & Operations Research 27 2000 1045 1076 (Pubitemid 30398138)
57. B.K. Wong, and Y. Selvi Neural network applications in finance: A review and analysis of literature (1990-1996) Information and Management 34 1998 129 139 (Pubitemid 128424277)
58. Y. Yao, P.T. Evers, and M.E. Dresner Supply chain integration in vendor-managed inventory Decision Support Systems 43 2 2007 663 674 (Pubitemid 46216535)
59. G. Zhang, B.E. Patuwo, and M.Y. Hu Forecasting with artificial neural networks: The state of the art International Journal of Forecasting 14 1998 35 62 (Pubitemid 128340470)
60. X. Zhao, J. Xie, and J. Leung The impact of forecasting model selection on the value of information sharing in a supply chain European Journal of Operational Research 142 2002 321 344 (Pubitemid 34803136)