Dynamic Capacity Planning and Modeling Its Complexity

  • A. Deif
  • Hoda A. ElMaraghy
Part of the Springer Series in Advanced Manufacturing book series (SSAM)


Uncertainty associated with managing the dynamic capacity in changeable manufacturing is the main source of its complexity. A system dynamics approach to model and analyze the operational complexity of dynamic capacity in multi-stage production is presented. The unique feature of this approach is that it captures the stochastic nature of three main sources of complexity associated with dynamic capacity. The model was demonstrated using an industrial case study of a multi-stage engine block production line. The analysis of simulation experiments results showed that ignoring complexity sources can lead to wrong decisions concerning both capacity scaling levels and backlogmanagement scenarios. In addition, a general trade-off between controllability and complexity of the dynamic capacity was illustrated. A comparative analysis of the impact of each of these sources on the complexity level revealed that internal delays have the highest impact. Guidelines and recommendations for better capacity management and reduction of its complexity, in changeable manufacturing environment, are presented.


Supply Chain Operational Complexity Capacity Planning Bullwhip Effect Dynamic Capacity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer London 2009

Authors and Affiliations

  • A. Deif
    • 1
  • Hoda A. ElMaraghy
    • 2
  1. 1.Industrial Systems EngineeringUniversity of ReginaReginaCanada
  2. 2.Department of Industrial & Manufacturing Systems EngineeringUniversity of WindsorWindsorCanada

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