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The design features of forecasting support systems and their effectiveness

Research output: Working paper

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The design features of forecasting support systems and their effectiveness. / Lawrence, M; Goodwin, P; Fildes, R A.

Lancaster University : The Department of Management Science, 2003. (Management Science Working Paper Series).

Research output: Working paper

Harvard

Lawrence, M, Goodwin, P & Fildes, RA 2003 'The design features of forecasting support systems and their effectiveness' Management Science Working Paper Series, The Department of Management Science, Lancaster University.

APA

Lawrence, M., Goodwin, P., & Fildes, R. A. (2003). The design features of forecasting support systems and their effectiveness. (Management Science Working Paper Series). The Department of Management Science.

Vancouver

Lawrence M, Goodwin P, Fildes RA. The design features of forecasting support systems and their effectiveness. Lancaster University: The Department of Management Science. 2003. (Management Science Working Paper Series).

Author

Lawrence, M ; Goodwin, P ; Fildes, R A. / The design features of forecasting support systems and their effectiveness. Lancaster University : The Department of Management Science, 2003. (Management Science Working Paper Series).

Bibtex

@techreport{fac64622f5424853b3e21faba8410286,
title = "The design features of forecasting support systems and their effectiveness",
abstract = "Forecasts play a key role in the management of the supply chain. In most organisations such forecasts form part of an information system on which other functions such as scheduling, resource planning and marketing depend. Forecast accuracy is, therefore, an important component in the delivery of an effective supply chain. Typically, the forecasts are produced by integrating managerial judgment with quantitative forecasts within a forecasting support system (FSS). However, there is much evidence that this integration is often carried out poorly with deleterious effects on accuracy. This study considers the role that a well-designed FSS might have in improving this situation. It integrates the literatures on forecasting and decision support to explain the causes of the problem and to identify design features of FSSs that might help to ameliorate it. An assessment is made of the extent to which currently available business forecasting packages, which are widely employed in supply chain management, possess these features",
keywords = "Decision support systems, forecasting support systems, combining statistical methods and judgement, user participation, supply chain",
author = "M Lawrence and P Goodwin and Fildes, {R A}",
year = "2003",
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 - The design features of forecasting support systems and their effectiveness

AU - Lawrence, M

AU - Goodwin, P

AU - Fildes, R A

PY - 2003

Y1 - 2003

N2 - Forecasts play a key role in the management of the supply chain. In most organisations such forecasts form part of an information system on which other functions such as scheduling, resource planning and marketing depend. Forecast accuracy is, therefore, an important component in the delivery of an effective supply chain. Typically, the forecasts are produced by integrating managerial judgment with quantitative forecasts within a forecasting support system (FSS). However, there is much evidence that this integration is often carried out poorly with deleterious effects on accuracy. This study considers the role that a well-designed FSS might have in improving this situation. It integrates the literatures on forecasting and decision support to explain the causes of the problem and to identify design features of FSSs that might help to ameliorate it. An assessment is made of the extent to which currently available business forecasting packages, which are widely employed in supply chain management, possess these features

AB - Forecasts play a key role in the management of the supply chain. In most organisations such forecasts form part of an information system on which other functions such as scheduling, resource planning and marketing depend. Forecast accuracy is, therefore, an important component in the delivery of an effective supply chain. Typically, the forecasts are produced by integrating managerial judgment with quantitative forecasts within a forecasting support system (FSS). However, there is much evidence that this integration is often carried out poorly with deleterious effects on accuracy. This study considers the role that a well-designed FSS might have in improving this situation. It integrates the literatures on forecasting and decision support to explain the causes of the problem and to identify design features of FSSs that might help to ameliorate it. An assessment is made of the extent to which currently available business forecasting packages, which are widely employed in supply chain management, possess these features

KW - Decision support systems

KW - forecasting support systems

KW - combining statistical methods and judgement

KW - user participation

KW - supply chain

M3 - Working paper

T3 - Management Science Working Paper Series

BT - The design features of forecasting support systems and their effectiveness

PB - The Department of Management Science

CY - Lancaster University

ER -