Information-decision model for self-controlling enterprise processes

• Autorzy: Zaborowski M.

Identyfikatory

DOI

10.2478/emj-2018-0021

• Języki publikacji: EN

Abstrakty

EN

This study demonstrates that integrated management and direct control systems may be combined into 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 description of a business process is usually compared with definitions used in such approaches as BPMN, YAWL, ARIS and 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).

Słowa kluczowe

EN

enterprise integration; complex control system; enterprise modelling; enterprise process control; Industry 4.0; enterprise architecture

PL

integracja przedsiębiorstwa; złożony system kontroli; modelowanie przedsiębiorstw; kontrola procesu produkcyjnego; przemysł 4.0; architektura korporacyjna

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Engineering Management in Production and Services
• Rocznik: 2018
• Tom: Vol. 10, no. 4
• Strony: 34--54
• Opis fizyczny: Bibliogr. 40 poz., rys., tab.

Twórcy

autor

Zaborowski M.

• WSB University Department of Management, Poland

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).