Optimization Algorithms for Integrated Processes in Industry 4.0

Abstract

Evidence of an increasingly dynamic market forces companies to look for new ways to respond, given that traditional supply chain management systems are increasingly more vulnerable in their needs. In this sense, we have seen a paradigm shift at the industrial level with the emergence of new concepts from Industry 4.0 to improve productivity and process efficiency. However, their implementation in companies can be an expensive and time-consuming process, particularly for small and medium-sized enterprises. This work presents a perspective for optimization algorithms in the context of Industry 4.0. With new methods and models, simultaneously integrating traditional supply chain processes, it is possible to find good solutions (globally optimal), in real time and with an investment cost more proportional to the reality of each company. It may, therefore, be an alternative to mitigate the discrepancy between companies of quite different sizes.