Filippo Montanari
Solving methods for the Multi-item Inventory Routing Problem with Pickup and Delivery.
Rel. Renzo Arina, Stefania Scarsoglio, Patrice Leclaire, Arthur Bit-Monnot. Politecnico di Torino, Master of science program in Aerospace Engineering, 2021
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
Abstract
As industry 4.0, IoT and clouding technologies take hold, real-time scheduling and resource allocation solutions by means of proven optimization techniques have a concrete interest and remarkable market opportunities. Concerning logistic and production sectors, some solid well-designed optimization system can be a precious ally to Just-In-Time philosophy at work. Speaking of logistics, it is a fast-growing sector responsible for a significant share of company costs, and its optimization has a major impact on economic rentability and competitiveness. The topic of this thesis is the research of dynamic and flexible scheduling methods for a generic indoor logistic support system. More specifically, the sought methods concern the optimal satisfaction of the expressed material needs of an indoor manufacturing facility, by means of a limited-capacity vehicle fleet.
Part I is devoted to bibliographic research and the introduction of some optimization key-concepts
Relators
Publication type
URI
![]() |
Modify record (reserved for operators) |
