Using Neural Network to Optimize Bin-Picking in the SME Manufacturing Digital Transformation

Abstract

The recent increase of logistics cost, due to the political and economic situation in the world, and the Covid crisis have accelerated the relocation of industrial companies in developed countries. Industry 4.0 concepts contribute to improve these company's performance through the management of added value and non-added values in their manufacturing processes. Despite their success in large companies, they are not sufficiently exploited by SMEs. This paper presents a sustainable methodology to digitally transform the SMEs processes by exploiting lean manufacturing, SMED method and DMAIC method. A focus is specially made on the elimination of non-added values in the processes. To achieve this goal, a method, based on artificial intelligence tools such as deep learning, is developed that allows a cobot to learn by itself how to grasp objects, without human needs.