Data analysis and mathematical optimization are very versatile methods and can be applied in many industries and for each of them in numerous applications.
Supply-Chain and Logistic
Most of our services have applications in logistic and supply-chain problems. It is especially true for data analyses that at first allow us to identify and understand problems before searching for an optimal solution.
Picking, routing and topology
Simulations and robustness
Historical data analysis
Loading and pallets
Healthcare structures and hospitals in particular have specific operational features that can greatly benefit from data analysis and operation research solutions. With the help of mathematical optimization, it is possible to take into account quality of service for patients and employees while reducing operational costs.
Inventory, Medicine and Laundry
Out of stock
Types of trays
Types and brand optimization
Historical data analysis
Process Mining and Flows
patient flow analysis
Manufacturing and Industry 4.0
Our services have solutions in several fields of the manufacturing industry. Mathematical optimization can solve complex production scheduling problems or manufacturing process optimization problems. In another field, new big data technologies can exploit data coming from machines and sensors to perform failure detection and prevention to increase production efficiency and improve maintenance.
Specialized units scheduling
Maintenance and Failure Detection
Sensor data analysis
Dashboard and alerts
Process modeling and fitting
Root cause analysis
Industrial process optimization
Design of experiment
Warehouse and Inventory Management
Routing and topology
Insurances, Banks, Administrations et E-Commerce
New technologies in data mining and machine learning have applications in the fields of insurance, bank, administration and e-commerce. A little bit less known is the new process mining method to analyse the efficiency of departments and administrations. For example in case file handling, it may be the study of bottlenecks, handling loops, working load balancing or customer quality service.
Case file screening
Alerts et anomaly detection
Case file handling
Quality of service
Retail and Logistic
Of course in the retail industry, supply-chain and manufacturing are very important aspects where Adilem services can be used. But retail has also very specific characteristics for example in fast fashion where hand-made algorithm can be very effective.
Central inventory replenishment
Alerts and out-of-stock detection
Performance indexes computation
Sales and Marketing
In modern transportation systems there are two main sources of data, internal with various real-time information about vehicles and external with data about customers. Both lead to many possibilities in data analysis and optimization.