KPIs are created on the basis of business objectives and are the detailed specifications used to track business objectives. KPIs can be related to a marketing-based perspective (e.g., customer satisfaction), to internal quality (non-compliance) and efficiency (cost, duration). In the process-based approach, quantifiable measurements must be defined, so-called key performance indicators (KPIs).
In this paper, BPMN is considered a reference standard in BP modeling.
However, BPMN provides support to represent the most common control-flow patterns occurring when defining process models. The BPMN structure is similar to well-known flow charts and activity diagrams. Business Process Model and Notation (BPMN) has been an Object Management Group (OMG) standard since 2005, aimed at providing a notation readily understandable by all business stakeholders. The interested reader is referred to for a comparative analysis of such languages. There is a multitude of languages to support BP modeling, such as textual language (e.g., formal or natural language) and visual language (e.g., flow chart), and there are several representation standards. The development of business process models is very labor-intensive. A conceptual BP model is independent of a particular technology or organizational environment, whereas an executable BP model is specialized to a particular environment. They highlight certain aspects and omit others. BP models describe how BP instances have to be carried out. A BP model is a generic description of a class of BPs. The system has been developed as an extension of a publicly available simulation engine, based on the Business Process Model and Notation (BPMN) standard.īP modeling is an established way of documenting BPs. The resulting process model allows forming mappings at different levels of detail and, therefore, at different model resolutions. In order to compute the interval-valued output of the system, a genetic algorithm is used. Indeed, an interval-valued parameter is comprehensive it is the easiest to understand and express and the simplest to process, among multi-valued representations. The proposed approach exploits interval-valued data to represent model parameters, in place of conventional single-valued or probability-valued parameters. To build and manage simulation models according to the proposed approach, a simulation system is designed, developed and tested on pilot scenarios, as well as on real-world processes. In this paper, a novel approach of BPS is presented. With regard to this problem, currently available business process simulation (BPS) methods and tools are unable to efficiently capture the process behavior along its lifecycle. Simulating organizational processes characterized by interacting human activities, resources, business rules and constraints, is a challenging task, because of the inherent uncertainty, inaccuracy, variability and dynamicity.
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