A System Approach for Integration of Human-centered Smart Problem-solving Process in Digital Shop Floor Management

In order to remain competitive in a rapidly evolving, digital and connected world, production companies are faced with the task of delivering high quality individual products in shorter production times and fewer costs. In this sense, the major obstacle in front of the companies is the occurring problems in production. Shop floor management (SFM) is a central concept of the lean methodology, which aims to empower employees with the responsibility for the effective and long-term solution of problems and supports this point of view with daily meetings. However, due to the increasing diversity of variants in production, process activities and requirements have become more complex for employees. In this framework, the problem-solving methods have become a cause of extra stress for the employees and, as a consequence, the implementation of failure management systems is not feasible. In this context, it is aimed in this paper to present a digital SFM that can use machine learning algorithms to reduce the workload on workers, to make problem-solving methods efficient, to achieve the production of quality products in a short time while reducing production costs, and to implement a smart failure management system in companies.