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Chosen aspects of knowledge management in enterprises

Kania A., Spilka M.

Journal of Achievements in Materials and Manufacturing Engineering

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2010

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Vol. 38, nr 2

203-210

EN

Purpose: In this article the important role of knowledge management in enterprises was presented. The knowledge and workers skills are the wealth and success source of organizations on the market. Design/methodology/approach: The paper shows definitions and types of knowledge, systems and models of knowledge management and directions of knowledge acquirement and development. Findings: In this article the analysis of role and function of knowledge management in modern enterprise on the basis of workers opinion poll, documentation review and conducted an interview in organization was carried out. Research limitations/implications: Knowledge management in contemporary enterprise is one of the key factors. It decides about its economic success. Because of that continuous learning, improvement and forming of system functioning in organization are the priority of enterprise. Practical implications: implications Nowadays, organisations achieve competitive supremacy through skilful knowledge management. For knowledge it was the strategic attribute to fulfil three properties. It must be: unique, possible for continuous improvement and difficult to fast copying and imitating. Originality/value: In this article it was shown that knowledge management was the important field in organisation management. It is worth taking steps forward to improve information flow, arrange workers for job completion, work conditions and organisation image and efficiency.

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Manufacturing project management in the conglomerate enterprises supported by IDSS

Shevtshenko E., Karaulova T., Kramarenko S., Wang Y.

Journal of Achievements in Materials and Manufacturing Engineering

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2009

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Vol. 33, nr 1

94-102

EN

Purpose: of this paper is to summarize the application study of a general framework of intelligent decision support system (IDSS) to collaborative projects in conglomerate enterprises. In some situations, even with the knowledge of how to find right information and which decision making methods to apply, we do not have enough time to make right decisions at the right time. In this paper, the framework of an IDSS system to support real-time collaboration and enable seamless data exchange is presented. Design/methodology/approach: The important roles of facilitation and organization that the IDSS plays are demonstrated. In the case study, examples of manufacturing projects analysis are given with the known methods, including Analytical Hierarchy Process and Bayes’ rule. Findings: It is demonstrated that IDSS systems can help us to manage information flow, clean data, transform data into knowledge, perform analysis and monitor the effectiveness of manufacturing projects during the whole life cycle. Research limitations/implications: The functionality of the developed framework is limited by the willingness of management style and culture changes in companies, as well as the level of interoperability between commercial software components. Only the essential components that influence the success of the manufacturing projects are considered. Practical implications: Project engineers and managers need to adapt to the new IT-based working environment. Originality/value: New information management model and the framework of IDSS system are proposed. The new collaborative decision making system consists of different parts: management of information flow, preparation of data for decision making, and actual decision making and monitoring of manufacturing projects supported by several methods.

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The propagation of variability of polymer processing parameters in production lines

Bociąga E., Pietrzak M., Postawa P.

Journal of Achievements in Materials and Manufacturing Engineering

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2008

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Vol. 26, nr 1

26-32

EN

Purpose: Analysis the propagation of the variability of polymer processing in production lines is the aim of the article. It is unprofitable occurrence. It contributes to an increase in the time of the production cycle and the volume of work in process. Design/methodology/approach: For the measurement of the variability of polymer processingparameters the time Shewart's card were used. The technique of the timing was applied for the registration of the production cycle time and the volume of stocks. The computer simulation was used for the analysis of the propagation of the variability in the production line at different values of the variability coefficient. Findings: The Shewart’s card permit to control the random variability of processes and eliminate the negative results of this occurrence. The computer simulation allowed to the investigate a lot of screenplays assuming different sizes of the variability. Prediction of the variability of polymer processing parameters gives possibility for the correction of the manufacturing process organization and against wastage. Research limitations/implications: The next step of research will be. Determinations of relation between the variability of polymer processing parameters and coefficient of machines utilization and quality of the final product will be the next stage of the research. The validation simulation models and estimation of their usefulness in undertaking of the decision concerning production process. Practical implications: The analysis of the propagation of variability of polymers processing parameters permits for better are understanding of reasons delays and excessive work in progress materials in the production of a particular article. The inspection of the variability permits better to manage the materials flow in the production system.

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Parameters influencing innovation, R&D and technology in mechanical industry

Likar B., Kopač J.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 20, nr 1-2

547-550

EN

Purpose: The objective of the research was to establish the most important factors aimed at achieving optimal business performance in the machinery and equipment manufacturing industry in Slovenia and in so doing, we focused on innovation, technology and R&D processes. Design/methodology/approach: The research was run in five steps. Firstly, we selected a group of variables from statistical and in the second, we added some important variables. In the third step, the variables were grouped in four categories (input, process, output indirect, output direct). In the fourth step, we performed the ordinary statistics and calculated correlations among individual variables. In the last step, we defined mutual correlations among particular variables and focused on the most important ones. At the same time the results of the simple statistics were taken into account. Findings: On the basis of the presented research methodology, we determined the key input and process variables, which clearly indicate the sequence of activities and also particular areas where additional efforts need to be invested as well. Reseach limitations/implications: The research limitations are connected with statistical data which fails to cover all the important topics related to the innovation performance within a company. There are also some misleading questions/definitions in the SURS/Eurostat which partially result in subjective results. Therefore, an improvement of the aforesaid statistical methodology or a separate data collection would advance the research. Practical implications: The findings also represent a set of concrete guidelines in which companies, support environment organisations and also national policy leaders should put their efforts. Originality/value: The way of analysing and interpreting the data deriving from the mechanical industry are new. Besides, the results and conclusion are also original and may be applied by the aforementioned target groups.

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Implementation of cutting tool management system

Svinjarević G., Stoić A., Kopač J.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 23, nr 1

99-102

EN

Purpose: of this paper is to show the benefits of implementation of management of cutting tools in the company which specializes in metal cutting process, after which the production conditions alows new possibilities for improvement of the tool management. Design/methodology/approach: applied in this paper was identification current state and exploitation conditions of cutting tools on lathes and milling machines and organization of the departments and other services, which are directly involved in the cutting tools management system. Findings: of the controlled testings and analyses in every phase of tool management in departments and other services which are directly involved in the tool management system will help to reduce stock and costs. It is possible to identify which operator makes errors and is responsible for inappropriate use of cutting tool. Some disadvantages have been identified and a few suggestions for the improvement in the tool management system have been given. A result of research is easy to apply in company with developed informatic infrastructure and is mostly interesting for CNC workshops. Small companies and specialized low volume productions have to made additional effort to integrate in clusters. Practical implications: are reduction of cutting tool on stock, reduction of employee, quick access to the necessary cutting tools and data, simplicity in tool order and supply. The most important is possibility to monitor and to identify which cutting tools and employees are weakest parts of chain in tool management system. Management activity should be foreseeable in all its segments, which includes both the appropriate choice and use of cutting tools, and monitoring of unwanted phenomena during the cutting process and usage of these data for further purchase of tools. Originality value: in the paper is turnover methodology applied for determination of management efficacy and formation of employees from different departments in virtual tool management system.

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IDSS used as a framework for collaborative projects in conglomerate enterprises

Shevtshenko E., Karaulova T., Kramarenko S., Wang Y.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 22, nr 1

89-92

EN

Purpose: of this paper is to summarize the application study of the general framework of intelligent decision support system (IDSS) to collaborative projects in conglomerate enterprises. Today's market competition requires project managers to make correct decisions fast. In some situations, even with the knowledge of how to find right information and which decision making methods to apply, people do not have enough time to make right decisions at the right time. In this paper, the frame work of an IDSS system to support real-time collaboration and enable seamless data exchange is presented. The IDSS system is able to support the information flow between internal and external sources. Data are shared, prepared, and streamlined to appropriate analytical tools. A case study of manufacturing projects in a specific European shipbuilding conglomerate is used to illustrate the process and usefullness of IDSS in combination with Enterprise Resource Planning (ERP) systems. Design/methodology/approach: A model of internal and external information flows is proposed for enterprise information management. The important roles of facilitation and organization that the IDSS plays are demonstrated. In the case study examples of manufacturing projects analysis are given with the known methods, including Analytical Hierarchy Process and Bayes Rule. Findings: It was found that IDSS is an essential component to enhance decision makings with complex information flows in large conglomerates. Main conclusions is to show what we will achieve through IDSS systems, to show how perform analysis in logical way. Research limitations/implications: The functionality of the developed framework is limited by the willingness of management style and culture changes in companies, as well as the level of interoperability between commercial software components. Practical implications: Project engineers and managers need to adapt to the new IT-based working environment. Intensive use of software tools may become the major challenge for those who cannot absorb information based on the new format of information presentation. Originality/value: The proposed new information management model and the framework of IDSS system enable ease of data sharing and processing by internal and external stakeholders in decision makings. The collaborative decision making consists of different parts: the management of information flow, the preparation of data for decision making, and actual decision making supported by several methods.

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Application of value analysis in processes of cog-wheels production

Roszak M. T., Szewieczek D.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 20, nr 1-2

559-562

EN

Purpose: The analysis of the processes based on the value analysis allows to evaluate of applied technologies of production. In the paper there is presented the value analysis for chosen processes of cog-wheels production as well as correlation of the functions of the product with the costs of operations creating them. An evaluation of applied technologies of production was done. Design/methodology/approach: Application of the method of value analysis with reference to productive chains including results of cost analysis. Findings: The study presents results of performed value analysis for chosen processes in particular with reference to costs of realized processes of cog-wheels. The analysis was done in the productive processes of the same product in two different technologies. Research limitations/implications: Evaluation of costs of operations of the productive processes. Practical implications: Presented in the paper approach and application of the method of value analysis essentially influences evaluation and increasing of efficiency of realized productive processes. Originality/value: Presented method is based on the methodology by L.D. Miles, L.W. Crum.