ODM is a company that develops systems and offers consultancy for companies and industries. The focus is to automate and improve decision-making processes by using mathematical tools as numerical analysis, statistics, optimization, and artificial intelligence. For the industry, it generates more profitability, productivity, and efficiency.
The decision support is made available in reports and dashboards that can be easily interpreted, truly supporting decision-making.
ODM is composed of masters and Ph.D.'s in the fields of mathematics, engineering, and computer science, holding experience in decision-making in industries on operational, tactical and strategic levels.
Artificial intelligence is understanding the data behavior, learning from the past to get better decisions. The tools and methods from ODM were designed to bring more expertise to your company.
Planning and sequencing production is one of the ODM expertise. It is used to organize your production line and to define the best sequence to make your products in such a way that you can improve your production using the same physical resources.
Cash flow is a management tool which determines how to apply the company's money in a specific period of time. Our algorithms can be used to support decisions about the financial management of cash flow.
ODM has cubage and packing algorithms that maximize the utilization of space, considering physical constraints. Therefore, it is possible to define loads in trucks and containers and even define the load of furnaces, which is common in the ceramic industry.
ODM has robust systems to reduce the costs of cutting bars, boards and irregular materials (e.g. leather). When cutting in two dimensions, the tools can manage the cut of rectangular and non-rectangular pieces.
Do you want to find the best manner to deliver or collect your products? Our algorithms can find the minimum route cost, hence reducing the waste of money and time.
Inventory control is important because it helps to estimate the amount of resource the company have to buy to also ensure the production as well as providing valuable information about the market. ODM has a set of tools that can perform this control optimally.
ODM algorithms determines the best employee scheduling for your business, reducing the amount of overtime paid and improving employee working conditions. The timetable scheduling is often present in carriers, supermarket chains, hospitals, and schools.
Column generation is a linear programming technique generally used for solving large problems. Some examples of problems that are successfully solved via column generation are: cutting and packing, scheduling, and batch sizing. In the mini-course, taught at USP by the president of ODM together with Professor Ph.D. Landir Saviniec from UFPR, the column generation method was presented with a focus on its implementation. A generic framework was built together with the course participants, which will greatly facilitate the implementation of the technique for general problems.
The framework, along with all course material is available on github.
Most of the times a PhD candidate has in mind a type of career to follow: to be a university professor. ODM presented in this lecture the entrepreneurship as a great alternative to this career, pointing out some of ODM success cases. It was also presented some projects whose purpose is to support the execution of scientific and/or technological research in small and medium enterprises.
Attending the event had great relevance to our directors since ODM believes that its association with high-end research is directly correlated with the application of industry 4.0.
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