Mathematical optimization for logistics decisions
Mathematical optimization is used to solve complex problems, in which there are many potential choices, requiring the use of a decision-making approach supported by mathematical expertise and high-performance IT resources. This approach is essential when drawing up logistics master plans, in order to design the most efficient logistics networks. While Newton.Vaureal Consulting has recognized expertise in this field, as well as in route modeling and inventory planning, our scope of action in mathematical optimization extends beyond logistics and supply chain management. We also address scheduling and geographic sectorization issues in the passenger transport sector.
In order to capture the specificities of each problem, we design unique models for each project. We use the best solvers on the market to obtain the best results in a matter of minutes, even for the most complex problems. We also have the capacity to build and deliver comprehensive decision-support tools.
We operate in various sectors
Large groups, institutions, SMEs ; we have the resources to support companies of all sizes and in all circumstances (from long-term vision to crisis support)
Supply chain is becoming an integral part of industrial sites. Managing site supplies means working more closely with suppliers, and integrating factory workflows into the supply chain.
Our work focuses on issues relating to the organization and management of physical flows, as well as on forward-looking studies linked to territories. Our areas of expertise include urban logistics, modal shift and carbon footprint.