Call for papers
15th International Symposium on Inventories 2008
August 22-26, 2008 – Budapest, Hungary
Special stream
DEMAND FORECASTING FOR INVENTORY MANAGEMENT
Many inventory systems cater for uncertain demand. The inventory
parameters in these systems require estimates of the demand and forecast
error distributions. The two stages of these systems, forecasting and
stock control, are often examined independently. Most studies tend to look
at demand forecasting as if this were an end in itself, or at stock
control models as if there were no preceding stages of computation.
Nevertheless, it is important to understand the interaction between demand
forecasting and inventory control, since the performance of the inventory
system is not only determined by the two components separately.
We are organising a special stream on demand forecasting for inventory
management in the forthcoming 15th International Symposium on Inventories,
August 2008, and we would like to invite theoretical and/or empirical
contributions that consider this interface. Potential topics include, but
are not limited to:
• Accuracy and performance measures
• Bullwhip effect
• Case studies
• Demand categorisation
• Distributional assumptions
• Hierarchical forecasting
• Multi echelon systems
• Serial systems
• Service level in the supply chain
• System Dynamics in forecasting and stock control
If you wish to present a paper in this special stream, please send us an
extended abstract (400-500 words) before March 15, 2008. Decisions
regarding acceptance will be made (in consultation with the ISIR executive
committee) by April 30, 2008. Abstracts can be submitted as an attachment
via e-mail to either Aris Syntetos or John Boylan (see details below),
copying also to ISIR ([log in to unmask]). We look forward to seeing you at the
conference!
Professor John E. Boylan (Buckinghamshire New University)
e-mail: [log in to unmask]
tel. no: + 44 (0) 14194 60 51 30
Dr Aris A. Syntetos (University of Salford)
e-mail: [log in to unmask]
tel. no: + 44 (0) 161 295 58 04
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