Reducing the Bullwhip Effect in a Supply Chain Using Artificial Intelligence Technique

著者

  • Om Prakash
  • Vijay Pandey Department of Production Engineering, Birla Institute of Technology, Mesra, Ranchi, INDIA

キーワード:

Bullwhip effect、 Forecasting、 Artificial intelligence techniques、 artificial neural network

要旨

The bullwhip effect in a supply chain leads to various inefficiencies like excessive inventory, quality problems, higher raw material costs, and poor customer service, which can be reduced by coordination and collaboration among partners of a supply chain with time bound information sharing; it requires full integration. However, full integration of the organizations of a supply chain is not possible in real case scenario due to existing differences of functions, strategies and goals of partner organizations. Hence, in absence of full integration among partners, bullwhip effect can be reduced by increasing forecast accuracy. The results of this paper show that the artificial intelligence technique, artificial neural network forecasts accuracy is better than that of the traditional forecasting approaches including exponential smoothing, moving average and naïve forecasts.Keywords: Bullwhip effect, Forecasting, Artificial intelligence techniques, Artificial neural network

著者略歴

  • Vijay Pandey、 Department of Production Engineering, Birla Institute of Technology, Mesra, Ranchi, INDIA
    Associate Professor, Department of Production Engineering, Birla Institute of Technology, Mesra, Ranchi, INDIA

ダウンロード

発行日

2014-08-22

巻号

巻 4 号 2 (2014)

セクション

Research Articles

ライセンス

Declaration and Copyright Transfer Form

(to be completed by authors)

 

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

·         I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.

·         I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).

·         I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.

·          I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. _______________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.