New Optimization Techniques for Cross-Docking •
- Co-Advisor :
- Christophe Lecoutre
- François Delmotte
- Adnen El-Amraoui
In production systems, logistics and supply chain management have a capital importance. Indeed, they constitute the critical elements for the overall performance of the system, and not the means of production. Thus, and although production logistics do not increase value added to manufactured products, the associated resources must however be taken into account when it comes to optimizing flows (materials, information and finance) in order to to respond to a customer request under the best economic conditions. The planning of these resources must be both robust, to cope with the hazards and disturbances, and capable of responding to the challenges of sustainable development, namely: economic, environmental and social issues.
Among the sustainable development issues encountered in these companies, we wish to provide planning based both on the pooling of delivery flows and the adoption of an organizational method for order preparation which eliminates the intermediate stage of product storage, known under the name of cross-docking. The objectives of this planning approach based on the pooling of flows are to: (1) save storage space by freeing up shelf space; (2) decrease the number of logistics operations and therefore contribute to increasing the productivity of logistics staff; (3) shorten delivery times and thus increase the agility of the logistics chain; and (4) reduce the chain’s carbon footprint logistics thanks to energy savings compared to the transport of goods to inside and outside the warehouse. Much research has already been undertaken on this sustainable planning, both on static as well as dynamic aspects. However, the problem is still far from having been satisfactorily resolved, that is to say in conformity with the concrete problems found in industry. In addition, many variations of this sustainable planning problem remain to be explored due to the functional complexity related to the structure of the logistics network and its constraints.