Analyzing process uncertainty through virtual process simulation
| Autor: | Joel H. Helquist, Amit V. Deokar, Jordan J. Cox, Alyssa J. Walker |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Process modeling
business.industry Management science Computer science Process (engineering) Opportunity management Work in process Industrial engineering Business Management and Accounting (miscellaneous) Resource allocation Graphical model Business and International Management business Risk management Uncertainty analysis |
| Zdroj: | Business Process Management Journal. 18:4-19 |
| ISSN: | 1463-7154 |
| DOI: | 10.1108/14637151211214984 |
| Popis: | Purpose – The purpose of this paper is to propose virtual process simulation as a technique for identifying and analyzing uncertainty in processes. Uncertainty is composed of both risks and opportunities.Design/methodology/approach – Virtual process simulation involves the creation of graphical models representing the process of interest and associated tasks. Graphical models representing the resources (e.g. people, facilities, tools, etc.) are also created. The members of the resources graphical models are assigned to process tasks in all possible combinations. Secondary calculi, representing uncertainty, are imposed upon these models to determine scores. From the scores, changes in process structure or resource allocation can be used to manage uncertainty.Findings – The example illustrates the benefits of utilizing virtual process simulation in process pre‐planning. Process pre‐planning can be used as part of strategic or operational uncertainty management.Practical implications – This paper presents an... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|