The article presents an optimization problem that allows you to implement the principles of lean production, as well as to minimize such types of losses as “waiting” and “excessive processing”. The goal is to find the minimum number of vehicles and human resources required for transportation. Guided by the main provisions of lean manufacturing and transport logistics, the task of developing an optimal schedule for the operation of land vehicles and optimizing the number of labor resources was implemented on the example of the work of a conditional motor transport enterprise. We present an algorithm that allows us to solve this problem using a class of interval graphs. A mathematical model of cargo transportation is constructed using an algorithm for coloring the interval graph with a sequential distribution and uniform loading of colors. In the course of solving this problem, software was created that implements the operation of such an algorithm. This software tool allows you to perform calculations to find the optimal amount of resources under given initial conditions, with a uniform system load, provided that the colors of the interval graph are consistently distributed. The presented results can be implemented in the management systems of organizations-cargo carriers, logistics companies, freight aggregators.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimization of Cargo Transportation Resource Allocation Based on Lean Manufacturing


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Guda, Alexander (Herausgeber:in) / Pinevich, Elena (Autor:in) / Volokhov, Aleksandr (Autor:in) / Mekhantseva, Karina (Autor:in) / Zinovev, Vladimir (Autor:in) / Ganzhenko, Diana (Autor:in)

    Kongress:

    International School on Neural Networks, Initiated by IIASS and EMFCSC ; 2022 ; St.Petersburg, Russia February 08, 2022 - February 10, 2022



    Erscheinungsdatum :

    16.11.2022


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch