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EN
In this study, Knowledge-Based View (KBV) and Theory of Technology in a Generic Customer Knowledge Management (CKM) Framework were assimilated to demonstrate the Organizational, Human and Technological antecedent factors that enable CKM processes to improve software product quality. A Theoretical CKM Framework was developed by extracting Human, Organizational and Technological factors from the literature, then, the “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS) Multi-Criteria Decision Making (MCDM) method was applied to find the importance level of factors to CKM development in software companies. The weight and priority of factors were determined by 31 experts in enterprise software development companies. The results show that, from an expert viewpoint, CKM antecedent factors are categorized into high priority and low priority groups. Organizational factors such as “Customer Involvement”, “Customer-Centric Culture” and “CKM Strategy Development” are high priority.
EN
The main aim of presented article is present methodology how sophisticated products as compressor equipment can be considered and analyzed as a complex technical system which consists of jointly operating components – a set of hardware, software, operational staff and documented information. In process modeling, these components can be in different processes of inputs, outputs, mechanisms (resources) or management. Based on the regulatory requirements for each component of the system, a key indicator efficiency can be identified. This will allow to control the process and make appropriate decisions to improve the system. The application of the proposed methodology for the development and implementation of an integrated management system reduce the cost of resources and significantly improve the quality of the implementation of processes.
EN
The specificity of tool provisioning is conditioned using tooling, the quantity of which exceeds the nomenclature of the manufactured goods considerably. Therefore, for modern enterprises, first-priority issues are harmonizing the processes of tool provisioning systems, increasing the level of the reaction of this system to changes, obtaining operational control over the production system, and, thus, improving the efficiency of the production process. In this paper, a mathematical model of decision-making based on determining the optimal strategy for the process flow was proposed to improve the efficiency of the information system for quality management of tool provisioning. It is suggested to use the sustainable development factor of information system for quality management of tool provisioning to make decisions about the path of the tooling process, which considers the requirements of international standards for management systems (ISO 9001, ISO 45001, etc.). This model is based on the application of graph optimization theory, fuzzy logic, and Markov chains. The use of this model is universal and will increase the validity of operational management decisions, increase productivity, reduce resource dependency, and, therefore, reduce the costs of tool provisioning, which directly affects the cost of production and competitiveness of the enterprise as a whole.
EN
The main aim of presented article is to present methodology how sophisticated products as compressor equipment can be considered and analysed as a complex technical system which consists of jointly operating components – a set of hardware, software, operational staff and documented information. In process modelling, these components are interacting in different processes of inputs, outputs, mechanisms (resources) or management. Based on the regulatory requirements for each component of the system, a key efficiency indicator can be identified. This allows to control the process and make appropriate decisions to improve the system. The application of the proposed methodology for the development and implementation of an integrated management system reduce the cost of resources and significantly improve the quality of the implementation of processes.
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