Highlights Logistic cooperation leads to savings. Joining delivery routes is a way to get them. We assess how much could these savings be, as a function of different factors. We identified the most important factors affecting the benefits. The saving curve as the number of partners increases is not linear but logarithmic.

    Abstract Cooperation through the supply chain has been seen as one of the most efficient ways of reducing costs and gaining competitiveness. Although many studies have considered vertical cooperation within a supply chain, less attention has been given to the benefits of logistics cooperation with other companies outside the same supply chain but providing similar services. For instance, empty returns can be avoided if a company can profit from cooperating with a partner to meet their complementary transport needs. In this paper we introduce a model to assess savings when planning connected deliveries. The model is solved with the GRASP metaheuristic, which is used to analyse the model’s performance, as well as to assess the cost savings that can be obtained by this linking of deliveries. Extensive computational experiments confirm that benefits of this type of cooperation are marginally decreasing with the size of the partnership and that, for any number of companies, the gains to be expected increase with the percentage saving from route lengthening and decrease with the cost of linking any two deliveries.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Assessing partnership savings in horizontal cooperation by planning linked deliveries


    Contributors:


    Publication date :

    2014-05-23


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Assessing Nighttime Deliveries in Stockholm, Sweden

    Koutoulas, Anastasios / Franklin, Joel P. / Eliasson, Jonas | Transportation Research Record | 2017


    Optimal planning of liquefied natural gas deliveries

    Al-Haidous, Sara / Msakni, Mohamed Kais / Haouari, Mohamed | Elsevier | 2016


    Optimal planning of liquefied natural gas deliveries

    Al-Haidous, Sara | Online Contents | 2016


    GEM-Cost Savings Through Interagency Cooperation

    Canter, S. | British Library Conference Proceedings | 1998