Home > Research > Publications & Outputs > Use and misuse of information in supply chain f...

Electronic data

View graph of relations

Use and misuse of information in supply chain forecasting of promotion events

Research output: Working paper

Published

Standard

Use and misuse of information in supply chain forecasting of promotion events. / Fildes, Robert Alan; Goodwin, Paul; Onkal, Dilek.
Lancaster: Department of Management Science, Lancaster University, 2016.

Research output: Working paper

Harvard

Fildes, RA, Goodwin, P & Onkal, D 2016 'Use and misuse of information in supply chain forecasting of promotion events' Department of Management Science, Lancaster University, Lancaster.

APA

Fildes, R. A., Goodwin, P., & Onkal, D. (2016). Use and misuse of information in supply chain forecasting of promotion events. Department of Management Science, Lancaster University.

Vancouver

Fildes RA, Goodwin P, Onkal D. Use and misuse of information in supply chain forecasting of promotion events. Lancaster: Department of Management Science, Lancaster University. 2016 Oct.

Author

Fildes, Robert Alan ; Goodwin, Paul ; Onkal, Dilek. / Use and misuse of information in supply chain forecasting of promotion events. Lancaster : Department of Management Science, Lancaster University, 2016.

Bibtex

@techreport{c8256cdb681b46e7a993b00cb2961b18,
title = "Use and misuse of information in supply chain forecasting of promotion events",
abstract = "Demand forecasting is a critical component of sales and operations planning (S&OP) and is pivotal in supporting inventory and production planning in supply chains. Because of their relative infrequency the effects of sales promotions can be particularly difficult to forecast - yet these are events where production and inventory planners need clear guidance on the probable uplifts in demand. A widely-documented practice involves judgmentally adjusting a baseline statistical forecast on receipt of shared information from sales, marketing and logistics. However, much of this information will either have no predictive value in estimating demand uplift resulting from the promotion or its predictive diagnosticity will be unknown. Theoretical arguments on {\textquoteleft}system neglect{\textquoteright} and {\textquoteleft}base rate discounting{\textquoteright} suggest that the provision of information with no or unknown diagnosticity would lead to the forecasters being distracted from the underlying base-rate uplift with deleterious effects on forecast accuracy. This study investigates this possibility when forecasters made judgmental adjustments to forecasts via a forecasting support system (FSS) in advance of forthcoming sales promotions. In experiments forecasters were provided with the mean rate of sales uplift achieved through promotions (the base rate), and a baseline statistical forecast, together with both quantitative and qualitative information relating to a range of products that were due to be promoted. The results revealed that forecasters were distracted from the base rate, misinterpreting the diverse information available to them, and this led to underestimates of the uplift achieved by the promotions. By extending earlier findings from field observation to a representative experimental setting, these findings have important implications for the quality of inventory decisions, for the design of organizational S&OP processes, and for the implementation of the FSSs that such processes rely on. ",
keywords = "Sales and Operations Planning; , Behavioral operations , Forecaster behavior, information effects",
author = "Fildes, {Robert Alan} and Paul Goodwin and Dilek Onkal",
year = "2016",
month = oct,
language = "English",
publisher = "Department of Management Science, Lancaster University",
number = "4",
type = "WorkingPaper",
institution = "Department of Management Science, Lancaster University",

}

RIS

TY - UNPB

T1 - Use and misuse of information in supply chain forecasting of promotion events

AU - Fildes, Robert Alan

AU - Goodwin, Paul

AU - Onkal, Dilek

PY - 2016/10

Y1 - 2016/10

N2 - Demand forecasting is a critical component of sales and operations planning (S&OP) and is pivotal in supporting inventory and production planning in supply chains. Because of their relative infrequency the effects of sales promotions can be particularly difficult to forecast - yet these are events where production and inventory planners need clear guidance on the probable uplifts in demand. A widely-documented practice involves judgmentally adjusting a baseline statistical forecast on receipt of shared information from sales, marketing and logistics. However, much of this information will either have no predictive value in estimating demand uplift resulting from the promotion or its predictive diagnosticity will be unknown. Theoretical arguments on ‘system neglect’ and ‘base rate discounting’ suggest that the provision of information with no or unknown diagnosticity would lead to the forecasters being distracted from the underlying base-rate uplift with deleterious effects on forecast accuracy. This study investigates this possibility when forecasters made judgmental adjustments to forecasts via a forecasting support system (FSS) in advance of forthcoming sales promotions. In experiments forecasters were provided with the mean rate of sales uplift achieved through promotions (the base rate), and a baseline statistical forecast, together with both quantitative and qualitative information relating to a range of products that were due to be promoted. The results revealed that forecasters were distracted from the base rate, misinterpreting the diverse information available to them, and this led to underestimates of the uplift achieved by the promotions. By extending earlier findings from field observation to a representative experimental setting, these findings have important implications for the quality of inventory decisions, for the design of organizational S&OP processes, and for the implementation of the FSSs that such processes rely on.

AB - Demand forecasting is a critical component of sales and operations planning (S&OP) and is pivotal in supporting inventory and production planning in supply chains. Because of their relative infrequency the effects of sales promotions can be particularly difficult to forecast - yet these are events where production and inventory planners need clear guidance on the probable uplifts in demand. A widely-documented practice involves judgmentally adjusting a baseline statistical forecast on receipt of shared information from sales, marketing and logistics. However, much of this information will either have no predictive value in estimating demand uplift resulting from the promotion or its predictive diagnosticity will be unknown. Theoretical arguments on ‘system neglect’ and ‘base rate discounting’ suggest that the provision of information with no or unknown diagnosticity would lead to the forecasters being distracted from the underlying base-rate uplift with deleterious effects on forecast accuracy. This study investigates this possibility when forecasters made judgmental adjustments to forecasts via a forecasting support system (FSS) in advance of forthcoming sales promotions. In experiments forecasters were provided with the mean rate of sales uplift achieved through promotions (the base rate), and a baseline statistical forecast, together with both quantitative and qualitative information relating to a range of products that were due to be promoted. The results revealed that forecasters were distracted from the base rate, misinterpreting the diverse information available to them, and this led to underestimates of the uplift achieved by the promotions. By extending earlier findings from field observation to a representative experimental setting, these findings have important implications for the quality of inventory decisions, for the design of organizational S&OP processes, and for the implementation of the FSSs that such processes rely on.

KW - Sales and Operations Planning;

KW - Behavioral operations

KW - Forecaster behavior

KW - information effects

M3 - Working paper

BT - Use and misuse of information in supply chain forecasting of promotion events

PB - Department of Management Science, Lancaster University

CY - Lancaster

ER -