Demand forecasting for supply processes in consideration of pricing and market information
Gerald Reiner and
Johannes Fichtinger
International Journal of Production Economics, 2009, vol. 118, issue 1, 55-62
Abstract:
We develop a dynamic model that can be used to evaluate supply chain process improvements, e.g. different forecast methods. In particular we use for evaluation a bullwhip effect measure, the service level (fill rate) and the average on hold inventory. We define and apply a robustness criterion to enable the comparison of different process alternatives, i.e. the range of observation periods above a certain service level. This criterion can help managers to reduce risks and furthermore variability by applying robust process improvements. Furthermore we are able to demonstrate with our research results that the bullwhip effect is an important but not the only performance measure that should be used to evaluate process improvements.
Keywords: Demand; forecasting; Extended; price; information; Supply; chain; management; Performance; measurement; Bullwhip; effect (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925-5273(08)00247-8
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:118:y:2009:i:1:p:55-62
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().