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EN
This study presents cause-effect dependencies between inputs and outputs of business transitions that are software objects designed for processing information-decision state variables in integrated enterprise process control (EntPC) systems. Business transitions are elementary components of controlling units in enterprise processes that have been defined as self-controlling, generalized business processes, which may serve not only as business processes but also as business systems or their roles. Business events, which have zero durations by definition, are interpreted as executions of business actions that are main operations of business transitions. Any ordered set of business actions, performed in the controlling unit of a given enterprise process and attributed to the same discrete-time instant, is referred to as ‘the information-decision process’. The i-d processes may be substituted by managerial business processes, performed on the lower organizational level, where durations of activity executions are greater than zero, but discrete-time periods are considerably shorter. In such a case, procedures of business actions are performed by corresponding activities of managerial processes, but on the level of business transitions the durations of their executions are imperceptible, and many different business events may occur at the same discrete-time instant. It has been demonstrated in the paper how to control business actions to ensure that a given i-d state variable may not change more than once at a given instant. Furthermore, the rules of designing the i-d process structures, which prevent random changes of transitory states, have been presented.
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).
PL
W pracy przedstawiono teorię EPC (Enterprise Process Control) jako opis nowego modelu ontologicznego zintegrowanych systemów zarządzania i sterowania bezpośredniego. Pokazano, że model ten, oparty na modelu informacyjnodecyzyjnym procesów biznesowych, można uważać za modyfikację i rozszerzenie znanej ontologii przedsiębiorstw opartej na teorii PSI (Performance in Social Interaction), leżącej u podstaw metodologii DEMO (Design and Engineering Methodology for Organizations).
EN
The paper presents the EPC theory (Enterprise Process Control) as a description of a new ontological model of integrated management and direct control systems. It was shown that this model, based on the information-decision model of business processes, may be regarded as a result of modification and extension of the well-known enterprise ontology based on the PSI theory (Performance in Social Interaction), which underlies the DEMO (Design and Engineering Methodology for Organizations).
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