Reference number : GC-2017-Q2-00539, amendment number : , agreement type : G, recipient legal name : Chaabane, Amin (École de technologie supérieure), 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 : Transport Bourassa is a Canadian Based company that provides high quality and comprehensive transport and_x000D_
storage services for a wide range of customers located in Canada and United States. Transport Bourassa is_x000D_
expanding their services and increase its capacity to offer services for more customers. This expansion should_x000D_
be controlled and avoid wrong decisions. Thus, Transport Bourassa needs new strategies and tools to optimize_x000D_
dock door assignment and scheduling to decide on the sequence of inbound and outbound trucks at given set of_x000D_
dock doors of the terminal. The research project will lead to the development and adoption of optimization_x000D_
techniques to increase the productivity of the cross dock, reduce cost and avoid delay. This innovative solution_x000D_
will be called Automated Optimization and Simulation of a Cross Docking Terminal, and will allow the_x000D_
company to better serves its customers. In order to achieve this objective, three main research themes will be_x000D_
developed in this project._x000D_
The first theme will target the development of model for the docking sequences of the inbound and outbound_x000D_
trucks to the receiving and shipping docks in order to minimize total operation time or in order to maximize the_x000D_
throughput of the cross docking system. The product assignments from the inbound trucks to the outbound_x000D_
trucks are also decided upon simultaneously, along with the docking sequences of the inbound and outbound_x000D_
trucks. As first step for model validation, we will test the model with a small size problem to validate the_x000D_
availability of information that we need for the case study._x000D_
In the scond theme, will propose new heuristic algorithm in order to improve the efficiency in solving medium_x000D_
to large problems. The algorithm will be tested with real data available at Transport Bourassa._x000D_
The third theme will focus on the development of an optimization platform based on Excel spreadsheet_x000D_
programming and will perform all the basic features of connecting to the existent system of the company to, program purpose french : Transport Bourassa is a Canadian Based company that provides high quality and comprehensive transport and_x000D_
storage services for a wide range of customers located in Canada and United States. Transport Bourassa is_x000D_
expanding their services and increase its capacity to offer services for more customers. This expansion should_x000D_
be controlled and avoid wrong decisions. Thus, Transport Bourassa needs new strategies and tools to optimize_x000D_
dock door assignment and scheduling to decide on the sequence of inbound and outbound trucks at given set of_x000D_
dock doors of the terminal. The research project will lead to the development and adoption of optimization_x000D_
techniques to increase the productivity of the cross dock, reduce cost and avoid delay. This innovative solution_x000D_
will be called Automated Optimization and Simulation of a Cross Docking Terminal, and will allow the_x000D_
company to better serves its customers. In order to achieve this objective, three main research themes will be_x000D_
developed in this project._x000D_
The first theme will target the development of model for the docking sequences of the inbound and outbound_x000D_
trucks to the receiving and shipping docks in order to minimize total operation time or in order to maximize the_x000D_
throughput of the cross docking system. The product assignments from the inbound trucks to the outbound_x000D_
trucks are also decided upon simultaneously, along with the docking sequences of the inbound and outbound_x000D_
trucks. As first step for model validation, we will test the model with a small size problem to validate the_x000D_
availability of information that we need for the case study._x000D_
In the scond theme, will propose new heuristic algorithm in order to improve the efficiency in solving medium_x000D_
to large problems. The algorithm will be tested with real data available at Transport Bourassa._x000D_
The third theme will focus on the development of an optimization platform based on Excel spreadsheet_x000D_
programming and will perform all the basic features of connecting to the existent system of the company to, agreement title english : Automated Optimization and Simulation of a Cross-Docking Terminal, agreement title french : Automated Optimization and Simulation of a Cross-Docking Terminal, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-08-23, 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