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Communication Dans Un Congrès Année : 2021

Integrated Decision Support System for Rich Vehicle Routing Problems

Gwénaël Rault
Marc Sevaux

Résumé

Recent economic and environmental constraints push supply chain management systems to adopt closed-loop supply chain operating modes that have to address very complex problems including the end-user quality of services, environmental considerations, and daily transportation time variations. Relevant and challenging research areas require a proper coordination between the data provider software (Transport Management Software) and the operational research tool in charge of trip definition. This abstract proposes a decision support system applied to the Vehicle Routing Problem able to tackle very large instances with real-life constraints. Our contribution is to propose an architecture that handle both static resolution prior to the completion of routes and update them in a dynamical context during their completions. This is implemented through a REST based API using numerous state-of-the-art operational research methods. Moreover, this system in used in practice by the Mapotempo company.
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Dates et versions

hal-03285102 , version 1 (13-07-2021)

Identifiants

  • HAL Id : hal-03285102 , version 1

Citer

Gwénaël Rault, Marc Sevaux, Philippe Lacomme. Integrated Decision Support System for Rich Vehicle Routing Problems. 31st European Conference on Operational Research (EURO 31), Jul 2021, Athens, Greece. ⟨hal-03285102⟩
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