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Tue, 25 Jan 2022

Choosing the right approach to implement optimization tools into your organization

You have become aware of the significant benefits that can be expected from data-driven decision-making and especially prescriptive analytics and you must now be wondering how to implement such tools into your organization. Traditionally, there are two kinds of players on the market that would offer « optimization » solutions. What are their characteristics and which are relevant for your specific problem?

To make the comparison as concrete as possible, let’s take an actual use case. The « Company » is a major Brazilian electricity provider ; 1200 maintenance visits at customer sites must be organized daily out of 2500 pending visits and using a fleet of 50 vehicles.

The winning criteria in choosing the optimization solution

To address this large scale problem, the Company was seeking for a solution with the following essential criteria:

  • Performance, both in terms of quality of the solution and response time;
  • Relevance of the solution, namely to tackle the whole real problem (routing and planning);
  • ROI, given the significant financial amount at stake;
  • Rapidity of implementation;
  • Scalability of the solution, and ability to adjust it easily if the problem evolves;
  • Accessibility and ease of use.

Choosing the approach: solver-oriented, application-oriented, or … application-solver-oriented?

Discover the most appropriate approach for your specific problem.

What are your interest(s)?*