Highlights Optimize a location-routing problem with eco-packages in a state-space-time network. Propose a two-phase optimization model for green eco-packages’ pickup and delivery. Design a Lagrangian relaxation-based heuristic algorithm to solve the model. Explore eco-package route sequences in resource sharing pickup and delivery process. Study synchronization and cost-effectiveness in transport and service phases.

    Abstract Optimization of the green logistics location-routing problem with eco-packages involves solving a two-echelon location-routing problem and the pickup and delivery problem with time windows. The first echelon consists of large eco-package transport, which is modeled by a time-discretized transport-concentrated network flow programming in the resource sharing state–space–time (SST) network. The second echelon focuses on small eco-package pickups and deliveries, established by the cost-minimized synchronization-oriented location routing model that minimizes the total generalized cost, which includes internal transportation cost, value of eco-packages, short-term benefits and environmental externalities. In addition, the Gaussian mixture clustering algorithm is utilized to assign customers to their respective service providers in the pickup and delivery process, and a Clarke–Wright saving method-based non-dominated sorting genetic algorithm II is designed to optimize pickup and delivery routes, and improve their cost-effectiveness and degree of synchronization. Different strategy testing results are used in the service phase as input data to calculate the cost of the transport phase, which is solved through a Lagrangian relaxation approach. The 3D SST network representation innovatively captures the eco-package route sequence and state transition constraints over the shortest path in the pickup and delivery at any given moment of the transport phase. A large-scale logistics network in Chengdu, China, is used to demonstrate the proposed model and algorithm, and undertake sensitivity analysis considering the life cycle of green eco-packages.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Green logistics location-routing problem with eco-packages


    Beteiligte:
    Wang, Yong (Autor:in) / Peng, Shouguo (Autor:in) / Zhou, Xuesong (Autor:in) / Mahmoudi, Monirehalsadat (Autor:in) / Zhen, Lu (Autor:in)


    Erscheinungsdatum :

    2020-10-05




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A Stochastic Location-Routing-Inventory Problem in Logistics Distribution Systems

    Ma, Z.J. / Dai, Y. / China Communications and Transportation Association; Transportation & Development Institute (American Society of Civil Engineers) | British Library Conference Proceedings | 2007




    Logistics stacker crane for carrying logistics packages

    YAN HONGYING | Europäisches Patentamt | 2022

    Freier Zugriff