<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This study demonstrates that integrated management and direct control systems may be organised as integrated enterprise process control (EntPC) systems, which are composed of self-controlling enterprise business processes. A business process has been defined as a control system for business activities, which are considered to be business processes of the lower level, or as base processes that are control systems for control plants in the form of infrastructure operations. An enterprise process also influences its delivery. This definition has been generally compared with definitions used in approaches of BPMN, YAWL, ARIS, DEMO and MERODE. Each enterprise process has its own controlling unit that contains one information unit and one decision unit, as well as memory places of the information-decision state variables that are processed by the business transitions that belong to these units. The i-d state variables are attributes of business objects, i.e. business units, business roles, business activities, business accounts and business products. Their values are transferred between business transitions that belong to the same or different controlling units. Relationships between business objects, business transitions and i-d state variables, as well as the other most important concepts of the EntPC system framework (EntPCF), are presented in this paper as the class diagrams of the enterprise process control language (EntPCL).</p></abstract>

This study demonstrates that integrated management and direct control systems may be organised as integrated enterprise process control (EntPC) systems, which are composed of self-controlling enterprise business processes. A business process has been defined as a control system for business activities, which are considered to be business processes of the lower level, or as base processes that are control systems for control plants in the form of infrastructure operations. An enterprise process also influences its delivery. This definition has been generally compared with definitions used in approaches of BPMN, YAWL, ARIS, DEMO and MERODE. Each enterprise process has its own controlling unit that contains one information unit and one decision unit, as well as memory places of the information-decision state variables that are processed by the business transitions that belong to these units. The i-d state variables are attributes of business objects, i.e. business units, business roles, business activities, business accounts and business products. Their values are transferred between business transitions that belong to the same or different controlling units. Relationships between business objects, business transitions and i-d state variables, as well as the other most important concepts of the EntPC system framework (EntPCF), are presented in this paper as the class diagrams of the enterprise process control language (EntPCL).

Information-decision model for self-controlling enterprise processes

Engineering Management in Production and Services

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Information-decision model for self-controlling enterprise processes"}

This study demonstrates that integrated management and direct control systems may be organised as integrated enterprise process control (EntPC) systems, which...

Information-decision model for self-controlling enterprise processes

Published Online: Mar 28, 2019

Page range: 34 - 54

Received: Aug 05, 2018

Accepted: Dec 15, 2018

DOI: https://doi.org/10.2478/emj-2018-0021

Keywords
enterprise integration, complex control systems, enterprise modelling, enterpriseprocess control, industry 4.0, enterprise architectures

© 2018 Mirosław Zaborowski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Information-decision model for self-controlling enterprise processes

Published Online: Mar 28, 2019

Page range: 34 - 54

Received: Aug 05, 2018

Accepted: Dec 15, 2018

DOI: https://doi.org/10.2478/emj-2018-0021

Keywordsenterprise integration, complex control systems, enterprise modelling, enterpriseprocess control, industry 4.0, enterprise architectures

© 2018 Mirosław Zaborowski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
enterprise integration, complex control systems, enterprise modelling, enterpriseprocess control, industry 4.0, enterprise architectures