All businesses work with a constrained set of resources. The employees, assets, time, and money available to provide products and services are valuable—and limited. As businesses grow, the ability to quickly solve resource scheduling challenges becomes vital for success and future growth. However, as a business gains resources, scheduling complexity often grows to the extent where human processes for optimization cannot keep up.
That is where automated constraint solving can help. Constraint solvers are automated, algorithmic systems that help businesses rapidly optimize resource utilization. Constraint solvers allow software programmers to work in his or her preferred programming language to solve optimization problems. By applying known constraints and choosing from a variety of sophisticated optimization heuristics and metaheuristics, these tools tackle problems that are beyond human calculation with precision and speed. With automated constraint solving, businesses can rapidly solve problems related to:
- Employee rostering for enhanced employee satisfaction.
- Vehicle routing for expedited service and lower environmental impact.
- Task assignment for fair and balanced scheduling.
- Experimental modeling to drive innovation into your business.
THE UNIVERSAL CHALLENGES OF PLANNING
Business planning—whether for resources, time, staff, or abstract ideas—is incredibly complex. There are many models and processes that use algorithms to attempt to solve planning problems. Planning can help alleviate the pressure on staff, reduce costs, refine better processes, and make employees and customers happier.
THE TRAVELING SALESMAN: A CLASSIC PLANNING PROBLEM
Classic problems, like that of the traveling salesman, provide an illustrative platform that data scientists use to improve the efficiency and outcome of actual business challenges. The traveling salesman problem seeks to find the most efficient route a person can take while traveling between any given number of cities. The result should produce the shortest distance, while ensuring that the traveler does not visit any city more than once and that they end in the origin city.