Savings Heuristic for the Inventory Routing Problem - Andy, Alexander
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The Inventory Routing is a combination of the Vehicle Routing Problem and the Lot-Sizing problem. It combines both optimization approaches in order to find an optimal solution for a transportation and storing problem. Area of application is a single product delivered from a central depot to multiple customers by identical vehicles with limited capacity and route length. With the generated algorithm written in the computer language Java it is possible to solve the problem with drastic savings of time and at a close to optimal outcome, compared to solving Mixed Integer Problems solved with…mehr

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Produktbeschreibung
The Inventory Routing is a combination of the Vehicle Routing Problem and the Lot-Sizing problem. It combines both optimization approaches in order to find an optimal solution for a transportation and storing problem. Area of application is a single product delivered from a central depot to multiple customers by identical vehicles with limited capacity and route length. With the generated algorithm written in the computer language Java it is possible to solve the problem with drastic savings of time and at a close to optimal outcome, compared to solving Mixed Integer Problems solved with conventional optimization software. The created algorithm uses the Savings Heuristic to find the best solution.
Autorenporträt
Alexander Andy, born in Stuttgart, Germany, achieved his bachelor's degree in Technology Management at the Technical University of Munich. In his studies he focused on recent topics of Supply Chain Management and Logistics. Nowadays he is working as an IT-Consultant.