The process of transforming goods and services into more useful products is called Production. A productive system is a set of interrelated elements for the purpose of performing the function of producing. Production management is responsible for designing, coordinating, administering, governing and controlling all the operations, both productive and logistical or assistants, that are present in both the design and operation of production and logistics systems. Operations management, with its various approaches (material flow, process activities and capacity of resources), contributes to achieving the objectives set for the productive-logistic system in the following areas the most efficient way possible of consuming resources, by adopting the most efficient policies, strategies, decisions and timely actions. These objectives focus on aspects of quantity, quality, time and cost.
In this context, numerous complex resolution optimization problems arise due to (1) the dimensions of these problems when trying to address them in a comprehensive manner industrial and realistic environments, (2) the combinatory nature of many of them, and (3) the nature of of the objective which seeks to respond, adequately and at the same time, to criteria linked to efficiency of the system, its operating and distribution costs, and the times of receipt, execution and delivery of materials, services and products.
In the last decades, many problems related to Production and Logistics in the environment have been successfully treated with resolution techniques based on Metaheuristics (MHs), in general, and in Evolutionary and Bioinspired Algorithms (AEBs), in particular. These techniques, without other such as Dynamic Programming and Mathematical Programming, constitute an important part of the powerful and extensive toolbox to deal with optimization problems very adequately in the framework of the productive and logistic operations of the companies.
The session we propose is dedicated to the application of MHs and AEBs to the problems of optimisation of the design and management of production and logistics systems. It includes the following topics: Design of the productive system, Reliability, renovation and maintenance of productive-logistic systems, Management of stocks of component materials and products or Planning of operations.