Toward overcoming accidental complexity in organisational decision-making

This paper takes a practitioner's perspective on the problem of organisational decision-making. Industry practice follows a refinement based iterative method for organizational decision-making. However, existing enterprise modelling tools are not complete with respect to the needs of organizational decision-making. As a result, today, a decision maker is forced to use a chain of non-interoperable tools supporting paradigmatically diverse modelling languages with the onus of their co-ordinated use lying entirely on the decision maker. This paper argues the case for a model-based approach to overcome this accidental complexity. A bridge meta-model, specifying relationships across models created by individual tools, ensures integration and a method, describing what should be done when and how, and ensures better tool integration. Validation of the proposed solution using a case study is presented with current limitations and possible means of overcoming them outlined

Optimization of management information support as a basis for organizational transformations at an enterprise

Increasing of information flows cause the necessity of optimizing their quantity, structure and distribution. In order to eliminate the disadvantages inherent in information systems of electricity delivery enterprises for the processing of internal information, a methodical approach to optimizing document circulation on the basis of modeling with the help of Petri Nets is developed. This article presents a systematic methodology for modeling document circulation flows at enterprise. The constructed model allows to form the structure of the system and the processes taking place in it, to analyze the static state of the system of document circulation and the dynamics of information flows. Also, we described mathematical model of document circulation process, where the central place is occupied by identification and removing of duplicate documents and those that are not processed at each stage of their moving. At final stage we propose to distribute information flows due to specificity of division. For this we need to define and assign information functions to divisions and formalize them considering the rules for processing documents. To determine the extent to which the processing rules of the documents actually go in the subdivision of its main for each transition we introduce the measure of its specificity for subsystem

Integrating System Dynamics with Object-Role Modeling and Petri Nets

Contains fulltext : 76088.pdf (author's version ) (Closed access)The art of System Dynamics (SD) modeling lies in discovering and repre- senting the feedback processes and other elements that determine the dynamics of a system. However, SD shows a lack of means for discovering and expressing precise, language-based concepts in domains. Therefore, we choose to use Object-Role Mod- eling (ORM) to add high quality formal conceptualization to SD modeling and Petri Nets (PNs) to bridge the gap between static ORM and Dynamic, flow-like aspects of SD. To achieve the integration of these methods, we take a step by step approach where we first identify the conceptual link between SD and ORM, then the key concepts used in these methods, which we later use to derive mappings, transition statements and el- ements. This helps us to better understand the underlying concepts, the connections between the model structure, and behavior in a sequential manner.3rd International Workshop EMISA 2009, 10 september 200

Integrating System Dynamics with Object-Role Modeling and Petri Nets

The art of System Dynamics (SD) modeling lies in discovering and repre- senting the feedback processes and other elements that determine the dynamics of a system. However, SD shows a lack of means for discovering and expressing precise, language-based concepts in domains. Therefore, we choose to use Object-Role Mod- eling (ORM) to add high quality formal conceptualization to SD modeling and Petri Nets (PNs) to bridge the gap between static ORM and Dynamic, flow-like aspects of SD. To achieve the integration of these methods, we take a step by step approach where we first identify the conceptual link between SD and ORM, then the key concepts used in these methods, which we later use to derive mappings, transition statements and el- ements. This helps us to better understand the underlying concepts, the connections between the model structure, and behavior in a sequential manner