| Abstract [eng] |
The evolution of Industry 4.0 has disrupted the traditional business landscape, necessitating companies to develop systematic plans in order to reduce costs and efficiently scale their operations to meet the market demand. The latest technological advancements offer opportunities to access and analyze data, modernize production facilities, and implement automation and robotization. However, these cutting-edge technologies are not always feasible solutions for SME production companies which often lack the necessary financial resources and knowledge to implement them. Despite their significance in driving the economy, these companies face challenges in keeping pace with modernization due to their reliance on customized production processes and the limited prevalence of automated production methods. They operate in an employee-centered manner, where knowledge, workforce, and decision-making are predominantly human-driven. These companies engage in dynamic production planning to adapt to the changing requirements throughout the manufacturing process. In the light of the aforementioned challenges faced by SMEs in adopting modern technologies, this research aims to address the issue by creating a novel method called the Decision Support Method for Dynamic Production Planning (DSM DPP). Unlike the traditional approaches requiring extensive changes in production processes, this method offers a practical solution for enhancing production planning. This method performs production replanning, which involves not only the technical properties of the production site but also employees and their skills. This is an important part as I5.0 is now emerging with its human-centricity, sustainability and resilience. |
