Test and reduce the risk of failure. Why testing is capital when creating something new

2020-09-09

Test and reduce the risk of failure. Why testing is capital when creating something new 1

What connects businesses as different as a moving company, meal delivery service, and a laundry service company? Simply, the need to plan daily routes with multiple stops. Unfortunately, many businesses don’t realize how drastically route optimization can increase their operational efficiency.Do you know the logistics problems you’re dealing with? We’ll help you pinpoint them by describing the most common ones.

You may actually recognize your concerns in one or more of them. And we’ll cap it off by referencing the key route optimization providers and their integration APIs.What’s Your Vehicle Routing Problem? Understanding the Route Optimization TasksRoute optimization is the process of determining the most cost-efficient route.

You may think that it means finding the shortest path between two points, but it’s rarely that simple: You must account for all relevant factors involved such as the number and location of all stops on the route, arrival/departure time gap, effective loading, etc. Route optimization is a solution for so-called vehicle routing problems (VRPs).The Vehicle Routing Problem or VRP is the challenge of designing optimal routes from a depot to a set of destinations each with business-specific constraints, such as vehicle limitations, cost controls, time windows, resource limitations concerning the loading process at the depot, etc.

The first classic VRP is known as the traveling salesman problem (TSP), which originated in the early 1800s and became widespread in the days when door-to-door salesmen peddled vacuum cleaners and encyclopedias. With time, VRP was categorized into much more sophisticated tasks involving large chunks of data.Let’s have a closer look at the most common VRPs and software that you can apply to unravel them.

Disclaimer: Real-world VRPs comprise of hundreds or thousands of nodes. The time required to solve them is growing relative to the size of the problem. For sufficiently large problems, it could take years to find the optimal solution.

CTO at OptimoRoute, confirms that point: “Exact methods like integer linear programming (ILP) are rarely used in practice because they are extremely slow and can solve only very small problems with a few orders”. Hence, routing solutions often rely on heuristics to be able to quickly return good enough but not necessarily optimal solutions.Capacitated Vehicle Routing Problem (CVRP)Since each vehicle has a maximum load capacity, you must always consider the weight and volume of what’s being transported.

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