Reference number : GC-2017-Q1-00522, amendment number : , agreement type : G, recipient legal name : Jaumard, Brigitte (Concordia University)|Jaumard, Brigitte (Université Concordia), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Today's marketplace is moving faster than ever, and companies are challenged to distribute their products more_x000D_
quickly, efficiently and cost-effectively. This has led to the rise of cross docking in the global supply chain to_x000D_
help keep pace with customer demand. Cross-docking refers to the practice of unloading goods or materials_x000D_
from an incoming vehicle (e.g., truck, train or vessel container) and then loading them directly onto outbound_x000D_
vehicles with no storage in between._x000D_
A common form of cross-docking operations corresponds to single or multi-item pallets, which are unloaded,_x000D_
sorted based on their destination, and placed directly onto outbound vehicles. This strategy allows_x000D_
transportation companies to move towards more proactive, agile and flexible supply chains, with shorter_x000D_
product cycles and easier product customization._x000D_
While the assignment of inbound/outbound vehicles to cross-dock doors has been widely studied, very few_x000D_
studies exist on the lateness issues, i.e., (1) late return of containers to vessels when inbound vehicles are_x000D_
containers, and (2) late delivery to customers. We propose to investigate these lateness issues throughout the_x000D_
assignment of inbound containers to doors in order to minimize the tardiness penalties due to late container_x000D_
returns, and the mitigation of it with the tardiness penalties associated to late or early delivery of goods to_x000D_
customers. We will assume that the schedule of the outbound vehicles to be given in the research projects_x000D_
associated with the master students supported by the Engage grant, while the postdoctoral fellow (MITACS_x000D_
Elevate to be submitted shortly) will assume flexible truck scheduling._x000D_
We plan to design meta-heuristic algorithms, which will integrate some machine learning tools in order to_x000D_
benefit from the lessons learned from the past in order to better estimate the travel times. Design and validation, program purpose french : Today's marketplace is moving faster than ever, and companies are challenged to distribute their products more_x000D_
quickly, efficiently and cost-effectively. This has led to the rise of cross docking in the global supply chain to_x000D_
help keep pace with customer demand. Cross-docking refers to the practice of unloading goods or materials_x000D_
from an incoming vehicle (e.g., truck, train or vessel container) and then loading them directly onto outbound_x000D_
vehicles with no storage in between._x000D_
A common form of cross-docking operations corresponds to single or multi-item pallets, which are unloaded,_x000D_
sorted based on their destination, and placed directly onto outbound vehicles. This strategy allows_x000D_
transportation companies to move towards more proactive, agile and flexible supply chains, with shorter_x000D_
product cycles and easier product customization._x000D_
While the assignment of inbound/outbound vehicles to cross-dock doors has been widely studied, very few_x000D_
studies exist on the lateness issues, i.e., (1) late return of containers to vessels when inbound vehicles are_x000D_
containers, and (2) late delivery to customers. We propose to investigate these lateness issues throughout the_x000D_
assignment of inbound containers to doors in order to minimize the tardiness penalties due to late container_x000D_
returns, and the mitigation of it with the tardiness penalties associated to late or early delivery of goods to_x000D_
customers. We will assume that the schedule of the outbound vehicles to be given in the research projects_x000D_
associated with the master students supported by the Engage grant, while the postdoctoral fellow (MITACS_x000D_
Elevate to be submitted shortly) will assume flexible truck scheduling._x000D_
We plan to design meta-heuristic algorithms, which will integrate some machine learning tools in order to_x000D_
benefit from the lessons learned from the past in order to better estimate the travel times. Design and validation, agreement title english : Enhancing Lateness Management in Cross-Docking, agreement title french : Enhancing Lateness Management in Cross-Docking, agreement number : EGP, agreement value : 23000.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada