Statistical analysis of process simulations

Arie Karniel, Yoram Reich*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Simulations of New Product Development (NPD) processes using their specific contexts can provide project managers with decisions-making aids. The NPD context, which incorporates knowledge about the product, requirements, technology, and other factors, is dynamically evolving during the process. The Design Structure Matrix (DSM) could be used to model this product knowledge and reordering algorithms could be used for process planning. The plan should be updated as the product knowledge evolves; however, the transition from DSM-based plan to process scheme implementation is not unique. The process can then be used for simulating process related measures that can guide the decision making regarding the preferable implementation strategy. However, such decisions should reflect the statistical confidence of the simulation results. In the current work, the properties of multiple repetitive simulations are used for supporting decision-making based on statistical confidence interval derived by evaluating the significance of the difference between the results of applying different DSM-based plan implementation options (defined as business rules). The same approach is applicable to similar decision-making related to processes in general.

Original languageEnglish
Title of host publicationDS 58-1
Subtitle of host publicationProceedings of ICED 09, the 17th International Conference on Engineering Design
Number of pages12
StatePublished - 2009
Event17th International Conference on Engineering Design, ICED 09 - Palo Alto, CA, United States
Duration: 24 Aug 200927 Aug 2009

Publication series

NameDS 58-1: Proceedings of ICED 09, the 17th International Conference on Engineering Design


Conference17th International Conference on Engineering Design, ICED 09
Country/TerritoryUnited States
CityPalo Alto, CA


  • Business rules
  • Design Structure Matrix (DSM)
  • New Product Development (NPD)
  • Product Design
  • Simulation
  • Statistics


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