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    Wyświetlanie 1-4 z 4
    Tytuł:
    Modified optimization model for selecting project risk response strategies
    Autorzy:
    Marchwicka, E.
    Kuchta, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/406557.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    risk management
    optimization
    linear programming
    zarządzanie ryzykiem
    optymalizacja
    programowanie liniowe
    Opis:
    The authors present modifications of the optimization model for selecting project risk response strategies proposed by Zhang and Fan. The weaknesses of the original model has been identified and an improved model with the main suggestions has been proposed. The main improvement concerned the objective function. The modified model was tested using a real project in the electrical industry – engineering and construction of the main low voltage switchboard for a live fish carrier (Helix Q7000) in Norway. Project team members report that the analysis is time consuming but results are satisfying – the model allows more systematic and efficient risk management.
    Źródło:
    Operations Research and Decisions; 2017, 27, 2; 77-90
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimal management as a factor guaranteeing the profitability of intermodal transport
    Autorzy:
    Mężyński, Antoni
    Wierzbicki, Paweł
    Powiązania:
    https://bibliotekanauki.pl/articles/1194477.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    transport intermodalny
    zarządzanie transportem
    optymalizacja transportu
    intermodal transport
    transport management
    transport optimization
    Opis:
    Presently in Poland there is a noticeable tendency to increase the share of intermodal transport in the entire transport structure, which entails the need to optimize it. The article presents and describesin details selected issues of intermodal transport, that determine if profitability.
    Źródło:
    Journal of TransLogistics; 2020, 6, 1; 107-116
    2450-5870
    Pojawia się w:
    Journal of TransLogistics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A fuzzy approach to multi-objective mixed integer linear programming model for multi-echelon closed-loop supply chain with multi-product multi-time-period
    Autorzy:
    Akin Bas, Sema
    Ahlatcioglu Ozkok, Beyza
    Powiązania:
    https://bibliotekanauki.pl/articles/406583.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    closed-loop supply chain management
    multi-objective optimization
    fuzzy mixed-integerlinear programming
    inventory decision
    Opis:
    By the green point of view, supply chain management (SCM), which contains supplier and location selection, production, distribution, and inventory decisions, is an important subject being examined in recent years by both practitioners and academicians. In this paper, the closed-loop supply chain (CLSC) network that can be mutually agreed by meeting at the level of common satisfaction of conflicting objectives is designed. We construct a multi-objective mixed-integer linear programming (MOMILP) model that allows decision-makers to more effectively manage firms’ closed-loop green supply chain (SC). An ecological perspective is brought by carrying out the recycling, remanufacturing and destruction to SCM in our proposed model. Maximize the rating of the regions in which they are located, minimize total cost and carbon footprint are considered as the objectives of the model. By constructing our model, the focus of customer satisfaction is met, as well as the production, location of facilities and order allocation are decided, and we also carry out the inventory control of warehouses. In our multi-product multi-component multi-time-period model, the solution is obtained with a fuzzy approach by using the min operator of Zimmermann. To illustrate the model, we provide a practical case study, and an optimal result containing a preferable level of satisfaction to the decision-maker is obtained.
    Źródło:
    Operations Research and Decisions; 2020, 30, 1; 25-46
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust bi-level optimization for an opportunistic supply chain network design problem in an uncertain and risky environment
    Autorzy:
    Golpîra, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/406601.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    supply chain management
    production-distribution planning
    conditional value at risk
    bilevel programming
    robust optimization
    KKT conditions
    zarządzanie łańcuchem dostaw
    planowanie produkcji
    planowanie dystrybucji
    optymalizacja
    warunki KKT
    Opis:
    This paper introduces the problem of designing a single-product supply chain network in an agile manufacturing setting under a vendor managed inventory (VMI) strategy to seize a new market oppor-tunity. The problem addresses the level of risk aversion of the retailer when dealing with the uncertainty of market related information through a conditional value at risk (CVaR) approach. This approach leads to a bilevel programming problem. The Karush–Kuhn–Tucker (KKT) conditions are employed to trans-form the model into a single-level, mixed-integer linear programming problem by considering some relaxations. Since realizations of imprecisely known parameters are the only information available, a data-driven approach is employed as a suitable, more practical, methodology of avoiding distribu-tional assumptions. Finally, the effectiveness of the proposed model is demonstrated through a numer-ical example
    Źródło:
    Operations Research and Decisions; 2017, 27, 1; 21-41
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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