Abstract
This article investigated measurement system analysis and system thinking in Six Sigma, as well as the factors that influence these actions. If the measurement system being used to accumulate data from the process delivers dependable and accurate results, the measurement system analysis regulates it. Process improvement initiatives can be derailed by faulty measurement systems. Also, managers who have read faulty data can be misled into making wrong decisions. To collect trustworthy data, a reliable measurement system is established with this process. A method to assess an organization as a system and interpret its practices as a whole with Six Sigma is system thinking. Also, fixing a system as a whole helps to identify the real causes of issues and to know where to address them. This article addressed the contribution of these two methods to an overall success of an organization operating Six Sigma. The most current variables, concepts, and models were studied within operations and project management. By using a design-science-investigate strategy, this study approved of a valuable growth reveal for reasonable and hypothetical application. This study allowed us to generate a fitting assessment model that will fill the research void. Also, this study contributed to the engineering field with improved project success rates and team communication.
Highlights
Since data is the driving force in today’s society, it impacts everything in daily living
This paper provided a discussion on the future of these topics, how it fits into engineering management, and how engineering managers need to effectively account for this in their operations and project management lifecycle and different project management environments
From the % Contribution, % Study Variation, % Tolerance columns, and the number of categories, this study distinguished that the acceptability criteria is not in the accepted zone
Summary
Since data is the driving force in today’s society, it impacts everything in daily living. Data is used by organizations in millions of ways, such as collecting data in massive loads to measure and inspect. Since organizations base their decisions on measurements, they are important. In any establishment, measurement systems are important. Decisions regarding the services provided by an organization are based on measurement values. More accurate measurements mean fewer errors that will occur in future processes. Processes have to be suitable to their application (Little, 2001; Galli, 2018c; Milner, 2016; Detert, 2000; Zelinka & Amadei, 2019)
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