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Forecasting and Operational Research: A Review

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Forecasting and Operational Research : A Review. / Fildes, R A; Nikolopoulos, K; Crone, S; Syntetos, A.

In: Journal of the Operational Research Society, Vol. 59, No. 9, 09.2008, p. 1150-1172.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Fildes, RA, Nikolopoulos, K, Crone, S & Syntetos, A 2008, 'Forecasting and Operational Research: A Review', Journal of the Operational Research Society, vol. 59, no. 9, pp. 1150-1172. https://doi.org/10.1057/palgrave.jors.2602597

APA

Fildes, R. A., Nikolopoulos, K., Crone, S., & Syntetos, A. (2008). Forecasting and Operational Research: A Review. Journal of the Operational Research Society, 59(9), 1150-1172. https://doi.org/10.1057/palgrave.jors.2602597

Vancouver

Fildes RA, Nikolopoulos K, Crone S, Syntetos A. Forecasting and Operational Research: A Review. Journal of the Operational Research Society. 2008 Sep;59(9):1150-1172. https://doi.org/10.1057/palgrave.jors.2602597

Author

Fildes, R A ; Nikolopoulos, K ; Crone, S ; Syntetos, A. / Forecasting and Operational Research : A Review. In: Journal of the Operational Research Society. 2008 ; Vol. 59, No. 9. pp. 1150-1172.

Bibtex

@article{d4474021ce6441d99526ebf2e9f0f495,
title = "Forecasting and Operational Research: A Review",
abstract = "From its foundation, operational research (OR) has made many substantial contributions to practical forecasting in organizations. Equally, researchers in other disciplines have influenced forecasting practice. Since the last survey articles in JORS, forecasting has developed as a discipline with its own journals. While the effect of this increased specialization has been a narrowing of the scope of OR's interest in forecasting, research from an OR perspective remains vigorous. OR has been more receptive than other disciplines to the specialist research published in the forecasting journals, capitalizing on some of their key findings. In this paper, we identify the particular topics of OR interest over the past 25 years. After a brief summary of the current research in forecasting methods, we examine those topic areas that have grabbed the attention of OR researchers: computationally intensive methods and applications in operations and marketing. Applications in operations have proved particularly important, including the management of inventories and the effects of sharing forecast information across the supply chain. The second area of application is marketing, including customer relationship management using data mining and computer-intensive methods. The paper concludes by arguing that the unique contribution that OR can continue to make to forecasting is through developing models that link the effectiveness of new forecasting methods to the organizational context in which the models will be applied. The benefits of examining the system rather than its separate components are likely to be substantial.",
keywords = "forecasting, supply chain , market models, data mining , operations",
author = "Fildes, {R A} and K Nikolopoulos and S Crone and A Syntetos",
year = "2008",
month = sep,
doi = "10.1057/palgrave.jors.2602597",
language = "English",
volume = "59",
pages = "1150--1172",
journal = "Journal of the Operational Research Society",
issn = "0160-5682",
publisher = "Taylor and Francis Ltd.",
number = "9",

}

RIS

TY - JOUR

T1 - Forecasting and Operational Research

T2 - A Review

AU - Fildes, R A

AU - Nikolopoulos, K

AU - Crone, S

AU - Syntetos, A

PY - 2008/9

Y1 - 2008/9

N2 - From its foundation, operational research (OR) has made many substantial contributions to practical forecasting in organizations. Equally, researchers in other disciplines have influenced forecasting practice. Since the last survey articles in JORS, forecasting has developed as a discipline with its own journals. While the effect of this increased specialization has been a narrowing of the scope of OR's interest in forecasting, research from an OR perspective remains vigorous. OR has been more receptive than other disciplines to the specialist research published in the forecasting journals, capitalizing on some of their key findings. In this paper, we identify the particular topics of OR interest over the past 25 years. After a brief summary of the current research in forecasting methods, we examine those topic areas that have grabbed the attention of OR researchers: computationally intensive methods and applications in operations and marketing. Applications in operations have proved particularly important, including the management of inventories and the effects of sharing forecast information across the supply chain. The second area of application is marketing, including customer relationship management using data mining and computer-intensive methods. The paper concludes by arguing that the unique contribution that OR can continue to make to forecasting is through developing models that link the effectiveness of new forecasting methods to the organizational context in which the models will be applied. The benefits of examining the system rather than its separate components are likely to be substantial.

AB - From its foundation, operational research (OR) has made many substantial contributions to practical forecasting in organizations. Equally, researchers in other disciplines have influenced forecasting practice. Since the last survey articles in JORS, forecasting has developed as a discipline with its own journals. While the effect of this increased specialization has been a narrowing of the scope of OR's interest in forecasting, research from an OR perspective remains vigorous. OR has been more receptive than other disciplines to the specialist research published in the forecasting journals, capitalizing on some of their key findings. In this paper, we identify the particular topics of OR interest over the past 25 years. After a brief summary of the current research in forecasting methods, we examine those topic areas that have grabbed the attention of OR researchers: computationally intensive methods and applications in operations and marketing. Applications in operations have proved particularly important, including the management of inventories and the effects of sharing forecast information across the supply chain. The second area of application is marketing, including customer relationship management using data mining and computer-intensive methods. The paper concludes by arguing that the unique contribution that OR can continue to make to forecasting is through developing models that link the effectiveness of new forecasting methods to the organizational context in which the models will be applied. The benefits of examining the system rather than its separate components are likely to be substantial.

KW - forecasting

KW - supply chain

KW - market models

KW - data mining

KW - operations

U2 - 10.1057/palgrave.jors.2602597

DO - 10.1057/palgrave.jors.2602597

M3 - Journal article

VL - 59

SP - 1150

EP - 1172

JO - Journal of the Operational Research Society

JF - Journal of the Operational Research Society

SN - 0160-5682

IS - 9

ER -