Don’t Go It Alone. Gurobi and Its Partners Provide the Continuum of Support You Need.
While the mathematical optimization field is more than 70 years old, many customers are still learning how to make the most of its capabilities. That’s why, at Gurobi, we have established the Gurobi Alliance partner network—a group of trusted partners who can support you in achieving your optimization goals.
How To Synchronize Complex Routing Operations (Synched VRPs) with Gurobi (English)
Logistics planners in the Transportation, Logistics, Delivery, Courier or Travel, and Tourism & Hospitality industries face significant operational and financial challenges today.
Surging demand for goods by customers has resulted in increasingly complex routing problems. In order to satisfy this demand and deliver the right products to the right places at the right times to customers, companies providing logistics services must be able to coordinate several crews and fleets and utilize their resources (such as vehicles and workers) in the most efficient manner possible.
The key to profitability for companies providing logistics services is being able to generate schedules and routes that enable them to perform tasks in the shortest possible time and optimize the utilization of their critical resources.
In this webinar, we will:
Present different ways to model vehicle routing problems.
Discuss the advantages of each modeling alternative.
Explain how to model the requirements related to synching resources in routing activities.
Present different approaches to address larger problems by means of combining different mathematical models in a clever way.
Assess the best modeling alternative depending on the size of the problem.
You can download the slides presented in this webinar here.
baobab soluciones: Prescriptive Analytics & Operations Research for all – Simulation, Optimisation. Data Science. Talent. Better Decisions.
In this webinar, attendees will get a first look at our upcoming product release, Gurobi 10.0. We will summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
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