Agility-oriented logistics demand forecasting for answering dynamic factors in uncertain supply chain environment Online publication date: Tue, 11-Nov-2008
by Xin Miao, Bao Xi, Hui-Min Zou
International Journal of Agile Systems and Management (IJASM), Vol. 3, No. 3/4, 2008
Abstract: The objective of this paper is to study the agility-oriented quantitative forecasting method for managing the dynamic and uncertain factors in supply chains. Firstly, the meaning of supply chain agility was discussed. Then, the significance of agility-oriented forecasting was expounded. In order to enhance the efficiency and precision of the agility-oriented forecasting, artificial neural network with extended Kalman filter training was applied as the forecasting algorithm. Some dynamic influencing factors, such as weather, temperature and date type, are quantified and taken into consideration. Swarm-aided case study on the KFC restaurant, which is located in the Xidazhi Street of Harbin city, showed that the proposed method has practicality and reliability in agility-oriented forecasting. This research may bring some insights to quantificational expression of dynamic factors in uncertain environment and can be seen as an experiment for managing the supply chain uncertainty through agility paradigm.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Agile Systems and Management (IJASM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook