Abstract
The objective of this study was to present a state-of the art of the Full Truckload optimization problem and to present some candidate mathematical solutions to this problem.The FTL is a shipment strategy which consist of exploiting the full capacity of a truck when we have to send a replenishment to a customer or a warehouse. The decision of sending a truck is based on the minimization of transportation and inventory costs while satisfying the external demand.
In this work, we first explain the fundamentals of supply chain and how they underpin the development of a mathematical model for the FTL.
After reading the relevant literature, we show a taxonomy as well as a lot-sizing models classification framework. We then illustrate a business case at Unilever in order to identify which lot-size model fits the best the FTL problem.
Eventually, we reformulate different mixed integer programmes that could include the FTL. The multicommodity formulation and the Lagrangian heuristic methods have been used to solve the problems to optimality or near-to-optimality.
Keywords: Supply chain; Logistics coordination; Transportation planning; Inventory management; Multiechelon inventory; One-warehouse multi-retailer; Lot sizing; Mixed-integer programming; Heuristics; Full Truckload shipment; State of the art; Meta-research
| Date of Award | 29 Aug 2017 |
|---|---|
| Original language | English |
| Awarding Institution |
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| Supervisor | Jean-Marie Jacquet (President) & Philippe Thiran (Supervisor) |
Keywords
- Supply chain
- Meta-research
- Logistics coordination
- State of the art
- Transportation planning
- Full Truckload shipment
- Inventory management
- Mixed-integer programming; Heuristics
- Multiechelon inventory
- Lot sizing
- One-warehouse multi-retailer