ABSTRACT
The fourth industrial revolution has led to a number of technological advancements, including big data, artificial intelligence and cyber-physical systems, which are essential for maintaining the quality and transparency of supply chain operations. In general, an organization’s quality management system has been centred on total quality management, quality assurance, quality control, and methodologies such as lean and six sigma. A new era of quality management that is data-driven can be created through the integration of digital technology with existing methods. Multidimensional and huge data sets help businesses define and monitor supply chain quality, as well as playing a part in enhancing organizational performance. Supply chain experts firmly believe that quality is an essential component of culture and managerial talents in an organization and that it can enhance not only the system’s operational and financial efficiency but also the performance of the entire supply chain. The medical device industry is required to provide top-notch medical care equipment to the hospitals and patients. Therefore, their supply chain activities need to be streamlined properly in order to deliver high-quality services for affordable cost because the majority of their funds are allocated in the manufacturing of expensive medical equipment and medications. In a similar manner, data is produced in enormous quantities by medical equipment and gadgets. Big data analytics has been shown to be beneficial for forecasting and decision-making, making it an effective tool for enhancing medical device supply chains.
In the context, this chapter aims to comprehend the effects of data-driven supply chain quality management methods and their effect on the performance of medical device manufacturing organizations. The opportunities and challenges of the data-driven supply chain in reference to medical device manufacturing industries will also be discussed.
