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Impact of Information Exchange on Supplier Forecasting Performance

Research output: Working paper

Published

Standard

Impact of Information Exchange on Supplier Forecasting Performance. / Trapero Arenas, J R; Kourentzes, N; Fildes, R A.

Lancaster University : The Department of Management Science, 2010. (Management Science Working Paper Series).

Research output: Working paper

Harvard

Trapero Arenas, JR, Kourentzes, N & Fildes, RA 2010 'Impact of Information Exchange on Supplier Forecasting Performance' Management Science Working Paper Series, The Department of Management Science, Lancaster University.

APA

Trapero Arenas, J. R., Kourentzes, N., & Fildes, R. A. (2010). Impact of Information Exchange on Supplier Forecasting Performance. (Management Science Working Paper Series). The Department of Management Science.

Vancouver

Trapero Arenas JR, Kourentzes N, Fildes RA. Impact of Information Exchange on Supplier Forecasting Performance. Lancaster University: The Department of Management Science. 2010. (Management Science Working Paper Series).

Author

Trapero Arenas, J R ; Kourentzes, N ; Fildes, R A. / Impact of Information Exchange on Supplier Forecasting Performance. Lancaster University : The Department of Management Science, 2010. (Management Science Working Paper Series).

Bibtex

@techreport{53cb0c7ff05f4038a1c4a0f03e5dcdd2,
title = "Impact of Information Exchange on Supplier Forecasting Performance",
abstract = "Forecasts of demand are crucial to drive supply chains and enterprise resource planning systems. Usually, well-known univariate methods that work automatically such as exponential smoothing are employed to accomplish such forecasts. The traditional Supply Chain relies on a decentralised system where each member feeds its own Forecasting Support System (FSS) with incoming orders from direct customers. Nevertheless, other collaboration schemes are also possible, for instance, the Information Exchange framework allows demand information to be shared between the supplier and the retailer. Current theoretical models have shown the limited circumstances where retailer information is valuable to the supplier. However, there has been very little empirical work carried out. This works assesses the role of sharing market sales information obtained by the retailer on the supplier forecasting accuracy. Data have been collected from a manufacturer of domestic cleaning products and a major UK grocery retailer to show the circumstances where information sharing leads to improved accuracy. We find significant evidence of benefits through information sharing.",
keywords = "Bullwhip effect, Supply chain, Supply chain collaboration, Bullwhip ratio, Neural Networks",
author = "{Trapero Arenas}, {J R} and N Kourentzes and Fildes, {R A}",
year = "2010",
language = "English",
series = "Management Science Working Paper Series",
publisher = "The Department of Management Science",
type = "WorkingPaper",
institution = "The Department of Management Science",

}

RIS

TY - UNPB

T1 - Impact of Information Exchange on Supplier Forecasting Performance

AU - Trapero Arenas, J R

AU - Kourentzes, N

AU - Fildes, R A

PY - 2010

Y1 - 2010

N2 - Forecasts of demand are crucial to drive supply chains and enterprise resource planning systems. Usually, well-known univariate methods that work automatically such as exponential smoothing are employed to accomplish such forecasts. The traditional Supply Chain relies on a decentralised system where each member feeds its own Forecasting Support System (FSS) with incoming orders from direct customers. Nevertheless, other collaboration schemes are also possible, for instance, the Information Exchange framework allows demand information to be shared between the supplier and the retailer. Current theoretical models have shown the limited circumstances where retailer information is valuable to the supplier. However, there has been very little empirical work carried out. This works assesses the role of sharing market sales information obtained by the retailer on the supplier forecasting accuracy. Data have been collected from a manufacturer of domestic cleaning products and a major UK grocery retailer to show the circumstances where information sharing leads to improved accuracy. We find significant evidence of benefits through information sharing.

AB - Forecasts of demand are crucial to drive supply chains and enterprise resource planning systems. Usually, well-known univariate methods that work automatically such as exponential smoothing are employed to accomplish such forecasts. The traditional Supply Chain relies on a decentralised system where each member feeds its own Forecasting Support System (FSS) with incoming orders from direct customers. Nevertheless, other collaboration schemes are also possible, for instance, the Information Exchange framework allows demand information to be shared between the supplier and the retailer. Current theoretical models have shown the limited circumstances where retailer information is valuable to the supplier. However, there has been very little empirical work carried out. This works assesses the role of sharing market sales information obtained by the retailer on the supplier forecasting accuracy. Data have been collected from a manufacturer of domestic cleaning products and a major UK grocery retailer to show the circumstances where information sharing leads to improved accuracy. We find significant evidence of benefits through information sharing.

KW - Bullwhip effect

KW - Supply chain

KW - Supply chain collaboration

KW - Bullwhip ratio

KW - Neural Networks

M3 - Working paper

T3 - Management Science Working Paper Series

BT - Impact of Information Exchange on Supplier Forecasting Performance

PB - The Department of Management Science

CY - Lancaster University

ER -