Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Kramarenko, S." wg kryterium: Autor

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-4 z 4
    Tytuł:
    Fractal Management Approach for the Manufacturing Projects in the Collaborative Networks of SME-s
    Autorzy:
    Polyantchikov, I.
    Shevtshenko, E.
    Kramarenko, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/971251.pdf
    Data publikacji:
    2009
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    project management
    collaborative networks
    fractal enterprise model
    Opis:
    Nowadays an increasing number of enterprises realize the importance of competitiveness improvement through collaboration. It is obvious that the collaborative network is becoming an effective tool that enables small and medium sized enterprises (SMEs) to survive under the global crisis pressure. It enforces enterprises to focus resources and means on the main activities, and to rebuild the architecture for manufacturing system in effective ways. Therefore, we decided to continue working on research topic of collaborative manufacturing projects management. In this paper we introduce the novel framework for the further development of the existing collaborative network concept in which we combined multiple project management methodology and fractal model of collaborative network of enterprises. The proposed framework enables SME-s to use resources more efficiently, reduce manufacturing costs, rapidly respond to customer demand changes, increase the productivity, reduce total lead time of collaborative projects, improve the products quality, improve the practice of collaboration in multi-project management, improve stability, share the expensive costs and equipment, reduce inventory, raise the accuracy of the forecast, reduce the data entry time, and improve the performance of delivery. In this paper, we will present the project-based fractal collaborative network framework, multiple project management and fractal model framework. We will introduce our vision of information and communication processes in the novel collaborative network, tasks and relationships of collaborative enterprises project managers, external and internal relationships of project managers.
    Źródło:
    Journal of Machine Engineering; 2009, 9, 4; 81-93
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decision Analysis in Project Management Process
    Autorzy:
    Kramarenko, S.
    Shevtshenko, E.
    Karaulova, T.
    Wang, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/971105.pdf
    Data publikacji:
    2008
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    intelligent decision support system
    project management
    decision analysis
    Opis:
    Very often we complain about the decisions that were previously made. Yet the fact is that the decisions made were based on the knowledge we had before. By now we have gained more knowledge. Therefore the common problem of making decisions is that decisions are not made reliable enough because parameters in risk assessment and supply chain management are underestimated or not robust enough. In this paper we propose a framework that will try to predict future situations collectively and increase the reliability of decision making. Project management is the art of making right decision. Project managers are faced by huge array of choices. Decision analysis is used in strategic planning, operational management, and other areas of business. Decision analysis helps companies to determine optimal exploration and production strategies with uncertainties in cost, prices, and exploration prospects. This paper describes project management steps and the way they can be supported by Intelligent Decision Support system (IDSS). The main parameters assessed are total cost of the projects, time of the project total fulfilment, number of subcontractors, location factors, and etc. IDSS will enable to collect data, propose possible alternative decisions, and provide risk assessment.
    Źródło:
    Journal of Machine Engineering; 2008, 8, 1; 104-113
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Manufacturing Projects Cash-Flow Dynamics and Risk Management
    Autorzy:
    Kramarenko, S.
    Shevtshenko, E.
    Karaulova, T.
    Wang, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/971240.pdf
    Data publikacji:
    2009
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    intelligent decision support system
    project
    flow management
    Opis:
    A project portfolio is referred to as an optimal combination of specified projects to best achieve defined goals of an enterprise. The goals may imply either economic and business strategies, or technical strategies. This paper presents an idea of project portfolio management in intelligent decision support systems (IDSS), which emphasizes on the problem of resource allocation, in particular cash. A rational way of distributing cash among different projects is modeled. We propose a concept of cash-flow dynamics module, which can be plugged into IDSS. The IDSS allows project managers to make decisions regarding the order of priority for projects' launching times based on risk and profitability of projects. This paper describes how this module can support cash-flow management processes, from budgeting for future periods to tracking real-time cash flow. Based on an analogy between cash-flow processes and physical flow of fluid, a cash-flow dynamics model is introduced. The theory of Bernoulli principle for cash-flow planning and tracking is applied.
    Źródło:
    Journal of Machine Engineering; 2009, 9, 1; 91-102
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies