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    Wyświetlanie 1-2 z 2
    Tytuł:
    A method of loading unit formation taking into account mass, load-bearing strength and surfaces of packing units
    Autorzy:
    Popiela, K.
    Wasiak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/198370.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    loading unit
    heuristic algorithm
    load-bearing strength
    packing unit
    jednostka ładunkowa
    algorytm heurystyczny
    wytrzymałość na obciążenie
    jednostka pakująca
    Opis:
    The problem of loading unit formation is computationally complex in nature. This article presents a heuristic algorithm of forming unit loads, which can be applied to unit load arrangement on unit load devices. This method accounts for dimensional, mass and load-bearing strength of loading units and loading devices. Moreover, the rotation of packages about a 90° vertical axis has been made possible. In this algorithm, the bearing surface of each packing unit is entirely supported. This guarantees the stability of additional unit load layers. A sample calculation of the arrangement of 30-unit loads is presented in this article.
    Źródło:
    Zeszyty Naukowe. Transport / Politechnika Śląska; 2017, 96; 151-160
    0209-3324
    2450-1549
    Pojawia się w:
    Zeszyty Naukowe. Transport / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Risk management in the allocation of vehicles to tasks in transport companies using a heuristic algorithm
    Autorzy:
    Izdebski, Mariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/27311808.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    transport companies
    allocation of vehicles
    organization of transport
    risk management
    heuristic algorithm
    ant algorithm
    optimization
    firmy transportowe
    przydział pojazdów
    organizacja transportu
    zarządzanie ryzykiem
    algorytm heurystyczny
    algorytm mrówkowy
    optymalizacja
    Opis:
    The work deals with the issue of assigning vehicles to tasks in transport companies, taking into account the minimization of the risk of dangerous events on the route of vehicles performing the assigned transport tasks. The proposed risk management procedure based on a heuristic algorithm reduces the risk to a minimum. The ant algorithm reduces it in the event of exceeding the limit, which differs from the classic methods of risk management, which are dedicated only to risk assessment. A decision model has been developed for risk management. The decision model considers the limitations typical of the classic model of assigning vehicles to tasks, e.g. window limits and additionally contains limitations on the acceptable risk on the route of vehicles' travel. The criterion function minimizes the probability of an accident occurring along the entire assignment route. The probability of the occurrence of dangerous events on the routes of vehicles was determined based on known theoretical distributions. The random variable of the distributions was defined as the moment of the vehicle's appearance at a given route point. Theoretical probability distributions were determined based on empirical data using the STATISTICA 13 package. The decision model takes into account such constraints as the time of task completion and limiting the acceptable risk. The criterion function minimizes the probability of dangerous events occurring in the routes of vehicles. The ant algorithm has been validated on accurate input data. The proposed ant algorithm was 95% effective in assessing the risk of adverse events in assigning vehicles to tasks. The algorithm was run 100 times. The designated routes were compared with the actual hours of the accident at the bottom of the measurement points. The graphical interpretation of the results is shown in the PTV Visum software. Verification of the algorithm confirmed its effectiveness. The work presents the process of building the algorithm along with its calibration.
    Źródło:
    Archives of Transport; 2023, 67, 3; 139--153
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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