Soft computing based procurement planning of time-variable demand in manufacturing systems

International Journal of Automation and Computing

Volumn 4, Issue 1, 2007, Pages 80-87

  Yung, Kai Leung ^a   Ip, Wai Hung ^a   Wang, Ding Wei ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Enterprise Resource Planning (ERP); Fuzzy decision; Genetic algorith; Inventory control; Purchase planning; Soft computing

Indexed keywords

EID: 33846833603     PISSN: 14768186     EISSN: 17518520     Source Type: Journal    
DOI: 10.1007/s11633-007-0080-x     Document Type: Article

References (27)

1. S. Avraham. Enterprise Resource Planning (ERP): the Dynamics of Operations Management, Kluwer Academic Publishers, Boston, 1999.
2. S. Biswas, Y. Narahari. Object Oriented Modeling and Decision Support for Supply Chains. European Journal of Operational Research, vol. 153, no. 3, pp. 704-726, 2004.
3. W. H. Ip, Y. Li, K. F. Man, K. S. Tang. Multi-product Planning and Scheduling Using Genetic Algorithm Approach. Computers & Industrial Engineering, vol. 38, no. 3, pp. 283-296, 2000.
4. E. A. Silver, R. Peterson. Decision Systems for Inventory Management and Production Planning, John Wiley & Sons, New York, 1985.
5. Z. T. Balkhi, L. Benkhrouf. On the Optimal Replenishment Schedule for an Inventory System with Deteriorating Items and Time-varying Demand and Production Rates. Computers and Industrial Engineering, vol. 30, no. 4, pp. 823-829, 1996.
6. Z. T. Balkhi, L. Benkherouf. On an Inventory Model for Deteriorating Items with Stock Dependent and Time-varying Demand Rates. Computers & Operations Research, vol. 31, no. 2, pp. 223-240, 2004.
7. J. T. Teng, H. J. Chang, C. Y. Dye, C. H. Hung. An Optimal Replenishment Policy for Deteriorating Items with Time-varying Demand and Partial Backlogging. Operations Research Letters, vol. 30, no. 6, pp. 387-393, 2002.
8. Y. W. Zhou. A Multi-warehouse Inventory Model for Items with Time-varying Demand and Shortages. Computers & Operations Research, vol. 30, no. 14, pp. 2115-2134, 2003.
9. J. Tang, R. Fung, K. L. Yung, D. Wang. Dependent Policy for Order Quantity Problems with Time-varying Demands. In Proceedings of IEEE Conference on Decision and Control, Florida, USA, pp. 1965-1970, 2001.
10. J. F. Bard, J. T. Moore. Production Planning with Variable Demand. Omega, vol. 18, no. 1, pp. 35-42, 1990.
11. B. Catay, S. S. Erenguc, A. J. Vakharia. Tool Capacity Planning in Semiconductor Manufacturing. Computers & Operations Research, vol. 30, no. 9, pp. 1349-1366, 2003.
12. R. P. Sundarraj, S. Talluri. A Multi-period Optimization Model for the Procurement of Component-based Enterprise Information Technologies. European Journal of Operational Research, vol. 146, no. 2, pp. 339-351, 2003.
13. M. O. Abuo-El-Ata, H. A. Fergany, M. F. El-Wakeel. Probabilistic Multi-item Inventory Model with Varying Order Cost under Two Restrictions: A Geometric Programming Approach. International Journal of Production Economics, vol. 83, no. 2, pp. 223-231, 2003.
14. A. Martel, M. Diaby, F. Boctor. Multiple Items Procurement under Stochastic Nonstationary Demands. European Journal of Operational Research, vol. 87, no. 1, pp. 74-92, 1995.
15. L. A. Zadeh. Fuzzy Logic, Neural Networks, and Soft Computing. Communication of the ACM, vol. 37, no. 1, pp. 77-84, 1994.
16. J. R. R. Jang, C. T. Sun, E. Mizutani. Neuro-Fuzzy and Soft Computing. Prentice-Hall, Englewood Cliffs, NJ, 1997.
17. M. Papadrakakis, N. D. Lagaros. Soft Computing Methodologies for Structural Optimization. Applied Soft Computing, vol. 3, no. 4, pp. 283-300, 2003.
18. L. C. Jain. Fuzzy Logic in Engineering, Soft Computing Techniques in Knowledge-Based Intelligent Engineering Systems. L. C. Jain, Ed., Physica-Verlag, Heidelberg, pp. 44-70, 1997.
19. S. C. Fang, D. Wang. Fuzzy Mathematics and Fuzzy Optimization. Science Press, Beijing, 1997. (in Chinese)
20. M. Gen, R. Cheng. Genetic Algorithms and Engineering Design. Wiley, New York, 1996.
21. J. H. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, MI, 1975.
22. Z. Michalewicz. Genetic Algorithms + Data + Structures = Evolution Programs. 2nd ed., Springer-Verlag, New York, 1994.
23. H. J. Zimmermann. Fuzzy Set Theory and Its Applications. Kluwer-Nijhoff, Hinghum, Netherlands, 1985.
24. D. Wang, S. C. Fang, H. L. W. Nuttle. Soft Computing for Multi-customer Due-date Bargaining. IEEE Transactions on Systems, Men, and Cybernetics - Part C, vol. 29, no. 4, pp. 566-575, 1999.
25. Y. Yi, D. Wang. Soft Computing for Scheduling with Batch Setup Times and Earliness-tardiness Penalties on Parallel Machines. Journal of Intelligent Manufacturing, vol. 14, no. 3-4, pp. 311-322, 2003.
26. D. Wang, K. L. Yung, W. H. Ip. A Heuristic Genetic Algorithm for Subcontractor Selection in a Global Manufacturing Environment. IEEE Transactions on Systems, Man, and Cybernetics - Part C, vol. 31, no. 2, pp. 189-198, 2001.
27. D. Wang, K. L.Yung, W. H. Ip. Partner Selection Model and Soft Computing Approach for Dynamic Alliance of Enterprises. Science in China: Series F, vol. 45, no. 1, pp. 68-80, 2002.