Every time you click that 'order' button on your go-to online store, you set off a chain reaction to deliver your package right to your doorstep. Most of us comprehend the overall steps in this process. But when you take a deep dive into the magic of how logistic companies optimally plan all this, it becomes complex and jaw-dropping quite quickly. From picking the right vehicles, loading them to capacity to prescribing the optimal vehicle route that reacts in real time. All to ensure timely deliveries, reducing carbon footprint reduction and increase profitability. Imagine a chessboard where each move isn't just to capture the king, but to minimize travel distance, meet delivery time windows, respect vehicle capacities, all while managing a fleet that's as dynamic as city traffic itself.🛣️ Solving this head-scratcher is where the Vehicle Routing Problem (VRP) optimization software comes into play. it's a fascinating challenge where mathematics, computer science, and logistics dance together.💃 At Timefold, we're putting the power of cutting-edge VRP algorithms into the hands of developers, equipping them with the tools to transform logistics, delivery services, or any field where routing is key. 🛠️ Start playing with our VRP model, a great toolbox to solve your complex vehicle routing problem on GitHub: github.com/TimefoldAI/timefo… Visit timefold.ai/ for more information or contact us directly if you need help. #VehicleRoutingProblem #VRP #Logistics #Timefold #Optimization

A small hobby example project in scala 3 / ZIO 2.0 where I solve the capacitated vehicle routing problem with the google OR-Tools ... link.medium.com/PvbsnfZutwb github.com/kristofsl/VRS #zio #scala #ortools #vehicleroutingproblem #optimisation #nphard

Yesterday last lecture of the second teaching unit of #ROAR (Real Applications of #orms): the five groups of our #Grade11 students were challenged with solving three instances of a #VehicleRoutingProblem, modeling a supermarket offering a #homedelivery service. 1/n

#ThisIsOR #VehicleRoutingProblem #5AYW #orms Riccardo Giusti (Politecnico di Torino) studies the Synchronized Location-Transshipment Problem where decisions on facilities to select are fundamental to ensure the synchronization of flows and the correct exploiting of logistics.

#ThisIsOR #VehicleRoutingProblem #5AYW #orms Thiago Vieira (Federal University of São Carlos) addresses the Freight Consolidation Problem under the context of road transportation with outsourced fleet, for a real-life situation faced by a major manufacturer of school supplies.

#ThisIsOR #VehicleRoutingProblem #5AYW #orms Edoardo Scalzo (University of Calabria) addresses a multi-depot pickup and delivery problem with time windows and synchronization constraints in the context of crowd-shipping, with occasional drivers.

#ThisIsOR #VehicleRoutingProblem #5AYW #orms Katarzyna Gdowska (AGH University of Science and Technology) defines an optimization problem to balance travel distances assigned to each garbage electric vehicle of a heterogeneous fleet, studying different compositions of the fleet.

#ThisIsOR #VehicleRoutingProblem #5AYW #orms Andrea Mor (University of Brescia) studies a long-haul truck scheduling problem by considering refueling decisions along the path and accounting for heterogeneous fuel prices in a road network.

#ThisIsOR #VehicleRoutingProblem #5AYW #orms Rafael Campos (Federal University of São Carlos) proposes a novel compact formulation for robust variants of the Capacitated VRP and the VRP with time windows.

New Paper: On the Use of Learnheuristics in Vehicle Routing Optimization Problems with Dynamic Inputs. Please read it at: mdpi.com/1999-4893/11/12/208 #VehicleRoutingProblem #OptimizationProblems #Learnheuristics #Heuristics #DynamicTravelingTimes

#stochastic #opencapacitated #vehicleroutingproblem with #softtimewindows and #multipletrips