The Truck and Trailer Routing Problem, TTRP, is an extension of the well-known Vehicle Routing Problem. This problem consist of a heterogeneous fleet composed of trucks and trailers to serve a set of customers. Most of models used in the literature assume that the data available are accurate, but in many practical problems the available knowledge about some data and parameters of the model in-volving uncertainty. In this study, we propose the application of a Soft Computing-based method to model and solve TTRP when the set of constrains is imprecise
This study explores an operational-level container routing problem in the road-rail multimodal servi...
AbstractIn this paper, the vehicle routing problem with fuzzy demands (VRPFD) is considered, and a f...
Green logistics is an emerging area in supply chain management, which has been shown to have tremend...
Considering the vehicle routing problem with fuzzy demand and fuzzy time windows, a vehicle routing ...
Introduction. Various algorithms for solving fuzzy vehicle routing problems are considered. The work...
International audienceIn the truck and trailer routing problems (TTRPs) a fleet of trucks and traile...
International audienceIn this paper, the vehicle routing problem with time windows and fuzzy demands...
This paper addresses the truck and trailer routing problem (TTRP) which is a variant of the vehicle ...
In this study, the author focuses on modeling and optimizing a freight routing problem in a road-rai...
In this paper, the fuzzy multi-depot vehicle routing problem with simultaneous pickup and delivery (...
Manufacturers and service providers often encounter stochastic demand scenarios. Researchers have, t...
Classical definitions of vehicle routing problems often lack handling of uncertain parameters and f...
In this paper fuzzy VRPTW with an uncertain travel time is considered. Credibility theory is used to...
Green logistics is an emerging area in supply chain management, which has been shown to have tremend...
In the context of logistics and transportation, this paper discusses how simheuristics can be extend...
This study explores an operational-level container routing problem in the road-rail multimodal servi...
AbstractIn this paper, the vehicle routing problem with fuzzy demands (VRPFD) is considered, and a f...
Green logistics is an emerging area in supply chain management, which has been shown to have tremend...
Considering the vehicle routing problem with fuzzy demand and fuzzy time windows, a vehicle routing ...
Introduction. Various algorithms for solving fuzzy vehicle routing problems are considered. The work...
International audienceIn the truck and trailer routing problems (TTRPs) a fleet of trucks and traile...
International audienceIn this paper, the vehicle routing problem with time windows and fuzzy demands...
This paper addresses the truck and trailer routing problem (TTRP) which is a variant of the vehicle ...
In this study, the author focuses on modeling and optimizing a freight routing problem in a road-rai...
In this paper, the fuzzy multi-depot vehicle routing problem with simultaneous pickup and delivery (...
Manufacturers and service providers often encounter stochastic demand scenarios. Researchers have, t...
Classical definitions of vehicle routing problems often lack handling of uncertain parameters and f...
In this paper fuzzy VRPTW with an uncertain travel time is considered. Credibility theory is used to...
Green logistics is an emerging area in supply chain management, which has been shown to have tremend...
In the context of logistics and transportation, this paper discusses how simheuristics can be extend...
This study explores an operational-level container routing problem in the road-rail multimodal servi...
AbstractIn this paper, the vehicle routing problem with fuzzy demands (VRPFD) is considered, and a f...
Green logistics is an emerging area in supply chain management, which has been shown to have tremend...