Home > Research > Publications & Outputs > Forecasting in airforce supply chains

Electronic data

Links

Text available via DOI:

View graph of relations

Forecasting in airforce supply chains

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Forecasting in airforce supply chains. / Downing, Matthew; Chipulu, Max; Ojiako, Udechukwu et al.
In: The International Journal of Logistics Management, Vol. 22, No. 1, 2011, p. 127-144.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Downing, M, Chipulu, M, Ojiako, U & Kaparis, K 2011, 'Forecasting in airforce supply chains', The International Journal of Logistics Management, vol. 22, no. 1, pp. 127-144. https://doi.org/10.1108/09574091111127589

APA

Downing, M., Chipulu, M., Ojiako, U., & Kaparis, K. (2011). Forecasting in airforce supply chains. The International Journal of Logistics Management, 22(1), 127-144. https://doi.org/10.1108/09574091111127589

Vancouver

Downing M, Chipulu M, Ojiako U, Kaparis K. Forecasting in airforce supply chains. The International Journal of Logistics Management. 2011;22(1):127-144. doi: 10.1108/09574091111127589

Author

Downing, Matthew ; Chipulu, Max ; Ojiako, Udechukwu et al. / Forecasting in airforce supply chains. In: The International Journal of Logistics Management. 2011 ; Vol. 22, No. 1. pp. 127-144.

Bibtex

@article{7d908c056c8544c5ac0406e273b1573e,
title = "Forecasting in airforce supply chains",
abstract = "Purpose – The UK Chinook helicopter is a utility and attack helicopter being operated by the Royal Air Force (RAF). Its versatile nature is of enormous importance to the strategic capability of the RAF's operations. The purpose of this paper is to utilise systems-based forecasting to conduct an evaluation of inventory and forecasting systems being used to support its maintenance programme.Design/methodology/approach – A case study is conducted. Data are collected from existing monthly Component Repair (CRP) data and performance evaluation of software. For propriety reasons, all data have been sanitised.Findings – Analysis of the current inventory and forecasting system suggests a possible lack of forecasting precision. Current non-specific formulation of forecasting techniques implied several of the cost driver's demands were being miscalculated. This lack of precision is possibly a result of the smoothing value of 0.01 being too low, especially as the results of statistical modelling suggest that current parameter values of 0.01 might be too low.Originality/value – The paper reports on work conducted jointly between Boeing and the University of Southampton that sought to create an intermittent demand forecasting model.",
keywords = "Forecasting, Helicopters , Inventory , Maintenance programmes , Supply chain management , United Kingdom",
author = "Matthew Downing and Max Chipulu and Udechukwu Ojiako and Konstantinos Kaparis",
year = "2011",
doi = "10.1108/09574091111127589",
language = "English",
volume = "22",
pages = "127--144",
journal = "The International Journal of Logistics Management",
issn = "0957-4093",
publisher = "Emerald Group Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Forecasting in airforce supply chains

AU - Downing, Matthew

AU - Chipulu, Max

AU - Ojiako, Udechukwu

AU - Kaparis, Konstantinos

PY - 2011

Y1 - 2011

N2 - Purpose – The UK Chinook helicopter is a utility and attack helicopter being operated by the Royal Air Force (RAF). Its versatile nature is of enormous importance to the strategic capability of the RAF's operations. The purpose of this paper is to utilise systems-based forecasting to conduct an evaluation of inventory and forecasting systems being used to support its maintenance programme.Design/methodology/approach – A case study is conducted. Data are collected from existing monthly Component Repair (CRP) data and performance evaluation of software. For propriety reasons, all data have been sanitised.Findings – Analysis of the current inventory and forecasting system suggests a possible lack of forecasting precision. Current non-specific formulation of forecasting techniques implied several of the cost driver's demands were being miscalculated. This lack of precision is possibly a result of the smoothing value of 0.01 being too low, especially as the results of statistical modelling suggest that current parameter values of 0.01 might be too low.Originality/value – The paper reports on work conducted jointly between Boeing and the University of Southampton that sought to create an intermittent demand forecasting model.

AB - Purpose – The UK Chinook helicopter is a utility and attack helicopter being operated by the Royal Air Force (RAF). Its versatile nature is of enormous importance to the strategic capability of the RAF's operations. The purpose of this paper is to utilise systems-based forecasting to conduct an evaluation of inventory and forecasting systems being used to support its maintenance programme.Design/methodology/approach – A case study is conducted. Data are collected from existing monthly Component Repair (CRP) data and performance evaluation of software. For propriety reasons, all data have been sanitised.Findings – Analysis of the current inventory and forecasting system suggests a possible lack of forecasting precision. Current non-specific formulation of forecasting techniques implied several of the cost driver's demands were being miscalculated. This lack of precision is possibly a result of the smoothing value of 0.01 being too low, especially as the results of statistical modelling suggest that current parameter values of 0.01 might be too low.Originality/value – The paper reports on work conducted jointly between Boeing and the University of Southampton that sought to create an intermittent demand forecasting model.

KW - Forecasting

KW - Helicopters

KW - Inventory

KW - Maintenance programmes

KW - Supply chain management

KW - United Kingdom

U2 - 10.1108/09574091111127589

DO - 10.1108/09574091111127589

M3 - Journal article

VL - 22

SP - 127

EP - 144

JO - The International Journal of Logistics Management

JF - The International Journal of Logistics Management

SN - 0957-4093

IS - 1

ER -