Demand forecasting – Models and solutions

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Authors
  1. Berger, J.
  2. Boukhtouta, A.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Canadian Armed Forces (CAF) are expected to evolve in adaptive dispersed operations characterized by Future Security Environments (FSE) and time-varying, hostile and un­ certain contexts which involve major challenges to delivering effective and efficient In­ Theatre logistics and sustainment. Accordingly, demand forecasting is perceived as a key research area in order to maximize service level, customer satisfaction, reduce logistic footprint, inventory and delivery costs, and increase system readiness. Demand forecasting is essential for efficient deployment, operations sustainment, and maintenance cycles. This document presents a survey of demand forecasting approaches applicable to the operational support and In-Theatre logistics domain. Customer demand is first characterized by introducing the forecasting problem and its pursued objectives in the military context, Then, existing statistical and causal demand forecast approaches, methodologies and technical procedures are presented. Strengths and weaknesses of the approaches are briefly discussed stating the main challenges lying ahead. Finally, commercial software and some military forecasting solutions are reported for a few nations.

Il y a un résumé en français ici.

Keywords
Demand forecasting models;statistical analysis;force sustainment;military logistics
Report Number
DRDC-VALCARTIER-TM-2013-317 — Technical Memorandum
Date of publication
01 Jul 2013
Number of Pages
74
DSTKIM No
CA046440
CANDIS No
806888
Format(s):
Electronic Document(PDF)

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