Invariant conditions in value system simulation models
作者:
Highlights:
• Defining the scope of business process, supply and value chain simulation models
• Rephrasing the REA modeling axioms for each of these types of simulation models
• Identifying integration points between these models through the REA ontology
• Integrating these three types of models into a hierarchic value system model
• First application of the REA ontology for building discrete-event simulation models
摘要
This paper presents a framework for the integration of supply chain (or logistics/distribution), value chain (or financial), and business process (or operational/manufacturing) simulation models, which should facilitate assessing the impact of supply chain and operational changes on an enterprise's financial performance. A Design Science approach is taken to demonstrate that the REA ontology, which provides a shared conceptual ground for these three model types, and its axioms, which describe invariant conditions for value systems, can help to build conceptually sound simulation models and identify the integration points between these models. It is further shown how these three types of simulation models can be integrated into one value system model for discrete event simulation, making use of the ExSpecT simulation tool. With this ontology-based framework, simulation model builders should be able to scope their models better and define integration points with other models, which is expected to promote the (re)use of simulation models for different purposes (e.g., simulating logistical, operational and financial performance).
论文关键词:Value system,Supply chain,Value chain,Business process,Resource-event-agent ontology,Integration,Virtual organization
论文评审过程:Received 23 December 2011, Revised 28 January 2013, Accepted 13 June 2013, Available online 20 June 2013.
论文官网地址:https://doi.org/10.1016/j.dss.2013.06.009