Mathematical models for orders forecasting and management and big data analysis for orders pre-configuration
Project identification number:
The research proposal is the continuation of the project “Mathematical models for orders forecasting and management and big data analysis for orders pre-configuration”, just completed.The goal of this new proposal is to extend the results of the first project, by fulfilling open points and by further enhancing the order-by-delivery process with a more consistent data management and the inclusion of economic data one side and on the other side a robust interface towards the user and a validation phase based on a real campaign. As a result, this proposal addresses two main directions: 1. Multiple objective optimization and intermittent demand analysis 2. Data modelling, ingestion and management 3. User interface and validation through promotional campaign As a result, the objectives of this project are: 1) to propose mathematical models that include also the economic aspects, to generate pre-configured sellable orders to optimize profitability and plant saturation, while reducing lead time for the customer; 2) to specify a database for storing data in a sound and consistent manner, thus easing pre-configured order creation and optimization in a seamless way; 3) to validate the tool within a real campaign.
- Massimo Poncino. (Responsabile Scientifico)
- FCA Italy S.p.A.
|Total cost:||€ 680,000.00|
|Total contribution:||€ 22,000.00|
|PoliTo total cost:||€ 22,000.00|
|PoliTo contribution:||€ 22,000.00|