Using query-driven simulations for querying outcomes of business processes
作者:
摘要
When decision makers want to know outcomes of business processes in their organizations, they often use simulations to do this. Traditionally, this is achieved by running simulations, collecting statistics and answering questions of interests to the decision makers based on the collected statistics. This paper describes an alternative approach to simulations, called the Query-Driven Simulations (QDS) approach, in which the user first asks the queries of interest and then, depending on the query asked, appropriate simulations are run to answer that query. The QDS approach empowers the end-user by making it easier, faster, and more reliable to ask ad-hoc questions about outcomes of business processes than what is done in traditional simulations. To substantiate this point, the paper describes the types of questions decision makers ask about outcomes of business processes and studies how easy it is to express these questions in terms of an SQL-like query language SimQL designed for Query-Driven Simulations. In addition, a case study of using the QDS approach in a manufacturing application developed by a major management consulting company is presented and the QDS approach is tested on that application.
论文关键词:Decision support,Query-driven simulations,Discrete-event simulations,Databases,Query languages,Modeling lifecycle
论文评审过程:Available online 23 February 1999.
论文官网地址:https://doi.org/10.1016/0167-9236(95)00025-9