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Reseach Article

Impact of History of Customer Demand Information in Supply Chain Performance

Published on None 2011 by T. Chinna Pamulety, V. Madhusudanan Pillai
International Conference on Technology Systems and Management
Foundation of Computer Science USA
ICTSM - Number 3
None 2011
Authors: T. Chinna Pamulety, V. Madhusudanan Pillai
fdd8a62f-99fd-4bb1-a8cb-d41535c6f169

T. Chinna Pamulety, V. Madhusudanan Pillai . Impact of History of Customer Demand Information in Supply Chain Performance. International Conference on Technology Systems and Management. ICTSM, 3 (None 2011), 34-38.

@article{
author = { T. Chinna Pamulety, V. Madhusudanan Pillai },
title = { Impact of History of Customer Demand Information in Supply Chain Performance },
journal = { International Conference on Technology Systems and Management },
issue_date = { None 2011 },
volume = { ICTSM },
number = { 3 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 34-38 },
numpages = 5,
url = { /proceedings/ictsm/number3/2798-193/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Technology Systems and Management
%A T. Chinna Pamulety
%A V. Madhusudanan Pillai
%T Impact of History of Customer Demand Information in Supply Chain Performance
%J International Conference on Technology Systems and Management
%@ 0975-8887
%V ICTSM
%N 3
%P 34-38
%D 2011
%I International Journal of Computer Applications
Abstract

Supply chain is a network of organizations that are directly or indirectly involved in fulfilling the customer requirements. Bullwhip effect in a supply chain is having negative impact on the performance of the supply chain. One of the reasons for its occurrence in supply chain is lack of customer demand information at all stages and lead time. So, the objective of the present study is to know the impact of sharing history of Customer Demand Information (CDI) on bullwhip effect in a four stage serial supply chain and to evaluate its performance by conducting experiments similar to beer distribution game with one week lead time. History of CDI can be shared easily because of advancements in information technology. Various performance measures used for the evaluation are fill rate, variance of orders, total inventory at each stage and Total Holding Cost of the Supply chain (THCS). Results show that sharing history of CDI improves the performance of the supply chain.

References
  1. Forrester, J. 1958. Industrial dynamics - A major breakthrough for decision makers. Harvard business review, 36, 37-66.
  2. Sterman, J. D. 1989. Modeling managerial behaviour: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35 (3), 321-339.
  3. Lee, H. L., Padmanabhan, V. and Whang, S. 1997. The bullwhip effect in supply chains. Sloan Management Review, 38 (3), 93-102.
  4. Dejonckheere, J., Disney, S. M., Lambrecht, M. R. and Towill, D. R. 2003. Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research, 147, 567-590.
  5. Metters, R. 1997. Quantifying the bullwhip effect in supply chains. Journal of Operations Management, 15, 89-100.
  6. Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E. and Shankar, R. 2008. Designing and Managing the Supply Chain - Concepts, strategies and case studies. Tata McGraw-Hill, New Delhi.
  7. Wang, X., Liu, Z., Zheng, C. and Quan, C. 2008. The impact of Lead time on bullwhip effect in supply chain. In. 2008 ISECS International Colloquium on Computing, Comunication, Control, and Management, pp. 93-97, IEEE transactions, China.
  8. Lee, H. L, Padmanabhan, V. and Whang, S. 2004. Information distortion in a supply chain: The bullwhip effect. Management Science, 50 (12), 1875-1885.
  9. Bottani, E., Montanari, R., and Volpi, A. 2010. The impact of RFID and EPC network on the bullwhip effect in the Italian FMCG supply chain. International Journal of Production Economics, 124, 426 – 432.
  10. Disney, S.M. and Towill, D.R. 2003. Vendor managed inventory and bullwhip reduction in a two-level supply chain. International Journal of Operations and Production Management, 23(6), 625-651.
  11. Croson, R., and Donohue, K. 2003. Impact of POS data sharing on supply chain management: an experiment. Production and Operations Management, 12(1), 1-12.
  12. Croson, R., and Donohue, K. 2006. Behavioural causes of the bullwhip effect and the observed value of inventory information. Management Science. 52 (3), 323-336.
  13. Massachusetts Institute of Technology http://web.mit.edu/jsterman/www/SDG/beergame.html
  14. Steckel, J.H., Gupta, S. and Banerji, A. 2004. Supply chain decision making: will shorter cycle times and shared point-of-sale information necessarily help? Management Science, 50 (4), 458-464.
  15. Pamulety, T. C. and Pillai, V. M. 2010. Evaluating the performance of a multi-echelon supply chain. Proceedings of the 4th International Conference on Advances in Mechanical Engineering, pp. 271 – 275. Surat, India.
  16. Wu, D.Y. and Katok, E. 2006. Learning, communication and bullwhip effect. Journal of Operations Management, 24, 839-850.
  17. Siegel, S. and Castellan, N.J. 1988. Nonparametric statistics for the behavioural sciences. McGraw Hill, New York.
  18. Johnson, R.A. 2004. Probability and statistics for engineers. Prentice-Hall India.
Index Terms

Computer Science
Information Sciences

Keywords

Supply chain Bullwhip effect Customer demand information sharing