Information distortion in a supply chain and its mitigation using soft computing approach
The information transferred in the form of orders between the nodes of a supply chain tends to be distorted when it moves from downstream to upstream. This phenomenon is called as bullwhip effect and this research is aimed to analyze this effect deeply in a single input single output (SISO) model. A discrete time series SISO model is developed for the analysis and it proves to be very useful in revealing the dynamics characteristics of the system. The bullwhip effect is measured from the transfer function model and the effect can be reduced by applying soft computing approach. A detailed sensitivity analysis is carried out to investigate the behavior of the model under various conditions. The applied fuzzy logic theory controls the errors and change in errors associated with forecasted demand between the nodes of a supply chain and it allows a smooth information flow in the chain. Tuning of fuzzy logic controller has been performed using adaptive neuro-fuzzy inference system (ANFIS). The method is illustrated with a numerical example. The application of soft computing approach addresses the real situation of human judgment with fuzziness helps the managers to forecast the demand with less distortion and to improve the supply chain effectiveness.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 37 (2009)
Issue (Month): 2 (April)
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:37:y:2009:i:2:p:282-299. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.