A major aspect in inventory routing problems (IRP) is the CO2 emissions from vehicles and its impact on the environment. Vehicle emissions depend on various factors such as vehicle’s weight, traveling speed, etc. This chapter presents the Pollution-Inventory Routing Problem with perishable goods (PPIRP), which is an extension of the Inventory Routing Problem with perishable goods (PIRP) that account not just for the transportation and inventory costs, but also for the cost due to greenhouse emissions. We develop a mathematical model for the PPIRP and solve it using GAMS. Through extensive computational experiments, we evaluate the impact of vehicle emissions on the results and find that our model achieves approximately 61 % reduction in carbon emissions and a 23 % decrease in empty vehicle trips compared to PIRP model. The objective of this chapter is to shed light on the trade-off between emission costs and total costs, and make the model more environmental friendly with a potential for pareto-improvements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Pollution-Inventory Routing Problem with Perishable Goods


    Weitere Titelangaben:

    EcoProduction


    Beteiligte:
    Golinska, Paulina (Herausgeber:in) / Al Shamsi, Ahmed (Autor:in) / Al Raisi, Ammar (Autor:in) / Aftab, Muhammad (Autor:in)


    Erscheinungsdatum :

    11.06.2014


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Stochastic Inventory Routing for Perishable Products

    Crama, Yves / Rezaei, Mahmood / Savelsbergh, Martin et al. | British Library Online Contents | 2018


    A Solution Approach to the Vehicle Routing Problem with Perishable Goods

    Grimm, Boris / Borndörfer, Ralf / Olthoff, Mats | Springer Verlag | 2020


    A Solution Approach to the Vehicle Routing Problem with Perishable Goods

    Grimm, Boris / Borndörfer, Ralf / Olthoff, Mats | British Library Conference Proceedings | 2019