Advancements in Demand Forecasting: Methods and Behavior

Clint Pennings

Research output: Types of ThesisDoctoral ThesisInternal

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Abstract

The problems associated with forecasting capability and forecasting process management motivate the studies presented here. Instead of an analytical approach based on stylized models, the studies in this thesis analyze and draw conclusions based on empirical data collected from industry. Rather than focusing on a whole supply chain, the scope is restricted to manufacturers, as improvements in the forecasting capability of manufacturers not only benefit their own forecasts, but are most beneficial to the chain as a whole. In the order they are presented, the studies gradually extend the use of information and move toward the actual use of forecasts, incorporating managerial behavior. The issues encountered are generalizable to a wider supply chain setting.
Original languageEnglish
Awarding Institution
  • Erasmus University Rotterdam
Supervisors/Advisors
  • Kroon, Supervisor
  • van Heck, Eric, Supervisor
  • van Dalen, Jan, Co-supervisor
Award date10 Nov 2016
Place of PublicationRotterdam
Print ISBNs9789058924650
Publication statusPublished - 10 Nov 2016

Research programs

  • RSM LIS

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