Process modeling

About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.

Assessment of E-Business Transformation Using Simulation Modeling

Abstract: Business renovation is a key aspect of electronic business and a high-level strategy for managing change that generally cannot be handled by continuous improvement and organizational restructuring methods. Business process modeling and the evaluation of different alternative scenarios for improvement are usually the driving factors of the business reengineering process. This study investigates business process simulation as a tool for deriving new knowledge about current business processes, such as additional in-depth understanding of how the process is executed and identifying sources of the problems observed during the process execution. The main objective of the paper is to investigate the potential benefits and outcomes of e-business transitioning that can be assessed in advance by using simulation modeling. An example is presented of how simulation modeling can be used to understand a procurement process and evaluate how the proposed improvements and the introduction of electronic business will influence system performance.

Developing Robust Neural Network Models by Using Both Dynamic and Static Process Operating Data

Abstract: Neural network models trained by dynamic process data alone can lack static representation capability. In process control applications, it is desirable that process models be able to capture both the dynamic and the static relationships between process input and output variables. This paper presents a technique for developing neural-network-based process models using both dynamic and static process operating data. The network training objective is to simultaneously minimize both the dynamic prediction errors and the static prediction errors of the neural network model. Studies in this paper show that model representation capability can be significantly enhanced by using only a very limited amount of static process operation data as additional training data. The developed technique is demonstrated by applications to a simulated water tank and a simulated neutralization process.

A methodology and tool environment for process analysis and reengineering

Abstract: Most private and public organizations have recently turned their attention to the process by which they operate, to improve service and product quality and customer satisfaction. To support business process reengineering, methods and tools for process modeling and analysis are required. The paper presents the ARTEMIS methodology and associated tool environment for business process analysis for reengineering. In the ARTEMIS methodological framework, business processes are modeled as workflows and are analyzed according to an organizational structure perspective and an operational structure perspective. With these two perspectives, the analyst can plan reengineering interventions based on the degree of autonomy/dependency of organization units in terms of coupling, and the inter-process semantic correspondences, in terms of data and operation similarity, respectively. The ARTEMIS methodology and associated tool environment have been conceived and applied in the framework of the PROGRESS research project. In the paper, we report on a reengineering case study of this project involving the Italian Ministry of Justice.

Process model for client requirements processing in construction

Abstract: Describes a process model for processing client requirements, which was developed in response to the need for an appropriate framework for client requirements processing in construction. The model, which is represented using the IDEF‐0 modelling method, draws from requirements processing techniques in manufacturing and requirements engineering, and its development was based on an iterative process involving practitioners from the construction industry. Uses an example of a family house project to demonstrate how the model facilitates the precise definition, analysis and translation of client requirements into solution‐neutral design specifications. Concludes that the model is of potential benefit to the construction industry in providing a first step towards client satisfaction.