DEVELOPMENT OF A QUALITY OUTCOME MATRIX FOR MALAYSIAN SMART MANUFACTURERS

The objective of this research was to develop a quality outcome matrix by exploring a systematic pattern for selecting quality tools and techniques in the Industrial Revolution 4.0, particularly in the smart manufacturing context. By conducting this analysis, the researchers found homogeneous patterns of sufficient quality case studies that can provide a basis for selecting appropriate groups of quality tools and techniques in different scenarios. Multiple case studies and an in-depth literature review were used as the research design approach. Two qualitative data collection methods were used: (1) primary data from face-to-face interviews with employees at Toyo Memory Technology and Intel Malaysia, and (2) secondary data from a previous study. Our study aimed to answer the following research question: “What are the appropriate tools and techniques concerning circumstances of quality dimensions and smart manufacturing?” Thus, our research developed a diagnostic matrix by developing an outcome matrix for selecting appropriate quality tools and techniques. The scientific novelty of this work is that this is a real-world case study describing the authors’ theoretical and practical prerequisites that can help other researchers and industrial practitioners or manufacturers in selecting the appropriate sets of quality tools and techniques for solving quality problems.