Developing Operational Health Diagnostics System for Manufacturing Organizations

Abstract

The research aimed to address the operational performance and health of manufacturing systems, with the goal of bridging existing gaps and offering a comprehensive solution that is specifically designed for the current difficulties faced in the manufacturing industry. The study presents a novel Operational Health Diagnostics System that aims to enhance diagnostic capabilities in the manufacturing sector. A thorough analysis of the literature was done to develop the framework, analysing the shortcomings of the existing diagnostic methods. The development of the new framework was based on three fundamental pillars, namely Operations Strategy, Technical System, and Supply Chain Relationships. In order to validate its effectiveness and relevance, the framework underwent a comprehensive qualitative testing process, involving the active participation of industry professionals, operational managers, and academics. The input provided by these stakeholders was crucial in the process of improving and enhancing the system. A comparative assessment was also undertaken, comparing the created approach with established diagnostic frameworks. The Operational Health Diagnostics System demonstrated notable progress by integrating key elements from current frameworks and delivering comprehensive diagnostic capabilities. Nevertheless, it is important to acknowledge that there were specific challenges encountered, such as the need for sufficient resources and limitations in data benchmarking. In summary, this research presents a unique diagnostic framework that has the potential to improve operational diagnostics in the field of manufacturing. The framework shows a comprehensive range of characteristics, while also providing opportunities for additional improvements and research, hence stimulating ongoing progress in the field.