BlueKaizen


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BlueKaizen
8 rue de la Michodière
PARIS 75002 France


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Business Type:

Software

Industry Type:

Environmental - Management - Data & IT

Market Focus:

Internationally (various countries)

Year Founded:

1996

Employees:

11-100


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In contrast to other players in the field, BlueKaizen is convinced that a generic off-the-shelf tool, delivered as is, can only be applied to the most simple problems -too simple to be true. Each real-world problem is unique. This is why BlueKaizen works in close collaboration with each client in order to produce a dedicated software solution answering its specific needs. BlueKaizen's Approach to Optimization BlueKaizen’s approach consists of building a specific business model that accurately reflects the client's activity with its own structure and constraints, then endowing it with the full power of BlueKaizen Optimization component. Everything is embedded in an intuitive user interface, again building upon the client's recommendations, to provide a complete, bespoke optimization solution. We do think, this is the only way to take full benefits from the optimization technology. Our solutions actually outperform generic approaches. The BlueKaizen Optimization component What makes the BlueKaizen Optimization component unique is that all algorithms inside can be used either as single units, or combined with each other in different ways (nested one into another, sequenced, parallelized), giving rise to more complex single units. This system is so flexible and easy to use that metaheuristics and hybrid algorithms of every type can be easily integrated and combined, and race-tuned to fully exploit the inherent structure of a particular problem domain. Our solutions are then able to solve extremely complex real-life problems, with complex constraints, which no simple heuristic or standard optimization algorithm could solve on its own. The BlueKaizen Optimization technology has been applied successfully to various problems, such as the localization of sorting centers, the cost optimization for a pick-up and delivery network (mail distribution industry), the routing of trains in a big train station and the optimization of industrial and residential waste collectio
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