DocumentCode :
2757675
Title :
The risk reducing effect of forecasting in supply chains
Author :
Lackes, Richard ; Siepermann, Markus
Author_Institution :
Dept. of Bus. Inf. Manage., Dortmund Univ. of Technol., Dortmund, Germany
fYear :
2010
fDate :
2-5 June 2010
Firstpage :
1124
Lastpage :
1129
Abstract :
In order to realise just-in-time concepts in supply chains, customers usually have to provide information about their required materials to their suppliers. Now the problem arises what forecast data the customer should report to his suppliers when the future demand of his outlet is not exactly known. This demand usually is subject to a probability distribution. Without any restrictions, the customer will always report those forecast data that correspond to the possible maximum demand of his outlet in order to keep flexibility. This information will not be useful to the supplier. Therefore, the customer usually is engaged to purchase, within certain limitation periods, that quantity of parts he reported. Otherwise he has to do an adjustment payment. This paper analyses what forecast data the customer should report, which amount the supplier should take into consideration in light of the customer´s intentions and what release order quantity the customer should realise having previously reported the forecast data.
Keywords :
customer relationship management; demand forecasting; risk management; statistical distributions; supply and demand; supply chain management; adjustment payment; customer supplier relationship management; demand forecasting data; just-in-time concepts; probability distribution; release order quantity; risk reducing effect; supply chain forecasting; Costs; Demand forecasting; Information management; Inventory management; Marketing and sales; Production; Risk management; Supply chains; Technology forecasting; Uncertainty; Customer Supplier Relationship Management; Forecast Data; Risk Measures; Risk reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6565-1
Electronic_ISBN :
978-1-4244-6566-8
Type :
conf
DOI :
10.1109/ICMIT.2010.5492900
Filename :
5492900
Link To Document :
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