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HEC-Ecole de gestion de l'Université de Liège
HEC-Ecole de gestion de l'Université de Liège
MASTER THESIS
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Demand forecasting under uncertainty: a holistic approach to drivers and barriers for successful forecasting projects.

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Rausch, Alexander ULiège
Promotor(s) : Van Caillie, Didier ULiège
Date of defense : 23-Jun-2021/25-Jun-2021 • Permalink : http://hdl.handle.net/2268.2/11350
Details
Title : Demand forecasting under uncertainty: a holistic approach to drivers and barriers for successful forecasting projects.
Author : Rausch, Alexander ULiège
Date of defense  : 23-Jun-2021/25-Jun-2021
Advisor(s) : Van Caillie, Didier ULiège
Committee's member(s) : Heuchenne, Cédric ULiège
François, Véronique ULiège
Language : English
Number of pages : 114
Keywords : [en] Predictive Analytics
[en] Demand Forecasting
[en] Forecasting Support System
[en] Performance Management
Discipline(s) : Business & economic sciences > Production, distribution & supply chain management
Target public : Researchers
Professionals of domain
Institution(s) : Université de Liège, Liège, Belgique
University of Hohenheim, Stuttgart, Germany
Degree: Master en ingénieur de gestion, à finalité spécialisée en Supply Chain Management and Business Analytics
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] This research thesis aims at analyzing the key elements that enable successful
forecasting projects in a company which operates within an interorganizational framework.
More precisely, it is about identifying essential factors which influence the effectiveness and
efficiency of the forecasting management process in a positive or negative way. The unexpected
global outbreak of the COVID-19 pandemic in 2020 has shaken supply chains and highlights
the need to address demand forecasting under uncertainty. Thus, to examine factors that are
fundamental to accurate forecasting and those that drive forecasting project deliverables.
Among others, methodical, technological and organizational factors will be identified in a
literature review. Further a holistic single-case study is conducted to analyze the identified
factors in an organizational environment. The findings will be interlinked to be then able to
derive recommendations for action and to be able to identify further fields of research based on
this thesis.


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Access Master Thesis_AlexanderRAUSCH_S193322.pdf
Description: Master Thesis
Size: 4.95 MB
Format: Adobe PDF

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Access Survey Data Analysis_Drivers and Barriers for successful forecasting projects.xlsx
Description: Case Study - Survey Data and Analysis
Size: 131.01 kB
Format: Microsoft Excel XML
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Access Link to the google forms survey.pdf
Description:
Size: 17 kB
Format: Adobe PDF
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Access Declaration.pdf
Description:
Size: 535.46 kB
Format: Adobe PDF

Author

  • Rausch, Alexander ULiège Université de Liège > Master ingé. gest., à fin.

Promotor(s)

Committee's member(s)

  • Heuchenne, Cédric ULiège Université de Liège - ULiège > HEC Liège : UER > UER Opérations: Statistique appl. à la gest. et à l'économie
    ORBi View his publications on ORBi
  • François, Véronique ULiège Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Supply Chain Management
    ORBi View his publications on ORBi
  • Total number of views 17
  • Total number of downloads 5










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