Classifying Spare Parts to Power Smarter Preventive Maintenance
This article was written in collaboration with Research Engineer Enzo Pinho Fernandes of the Industry 5.0 Lab within Berger-Levrault’s BL Research team. Introduction A single missing bolt can stop an entire production line. When this happens, the cost is not only the price of the part, but also the production time lost during the stoppage,
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From modeling to optimization : solving the Stock Size Problem with JuMP and its compatible state-of-the-art solvers
Introduction In a context where the supply chain has become a central and structuring component of the Industry 5.0 ecosystem, recent research is shifting toward a new paradigm: Supply Chain 5.0. This paradigm aims to integrate advanced technologies in order to design highly intelligent, adaptive, and sustainable logistics networks. Among the key topics associated with
Balancing the satisfaction of stakeholders in home health care coordination: a novel OptaPlanner CSP model
As part of the development of the innovative BL.Optim solution, we questioned the concept of route optimization for home health care coordination. We are pleased to inform you that this research and innovation work has recently resulted in a scientific publication in the journal Health Systems, that brings together critical research and commentary on health
Simulation and analysis of disruptive events on BL.Optim-HHCRSP solution
The world demographic trend will be driven by a significant increase in the number of people over 60 years of age (60% increase in the next 40 years), with a life expectancy that is expected to rise. In this context, the demand of home-based support for independent elderly people is increasing sharply. This highlights the
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Solving optimization problem through the Domain-Specific Language based businesse rules modeler
BL.Optim is a research project of Berger-Levrault about planning management through optimization algorithm. However, the “constraints description” part in BL.Optim is supported by an API, which is extremely difficult to use to express new constraints. We want to replace the constraint descriptor by using a language more or less expressive, which allow us to easily
