Sustainable of production yield by using attribute statistical process control at manufacturing company

Sentheran, Kamini (2022) Sustainable of production yield by using attribute statistical process control at manufacturing company. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Sustainable production yield is manufacturing processes that focus on improving production productivity in manufacturing industries. Since consumer quality expectations increase, manufacturers can no longer depend on conventional techniques mainly focused on corrective actions. Moreover, the primary objective of this research is to identify the factors that affect the sustainability of production yield. Secondly, is to apply and measure the attribute statistical process control technique in a manufacturing company. Lastly, the third objective is to propose an improvement and monitoring based on the attribute statistical process control. Therefore, attribute statistical process control is a tool used to monitor and control the product quality and discover a solution for a production process in a manufacturing company. Before conducting this research, the literature review based on the sustainable production yield and attribute statistical process control is collected and turned into knowledge information. Moreover, the techniques used to collect data for this research are interviews and evaluations. Data collected from the interview and assessment would be used to interpret and discuss to achieve the project results. The collected data is analysed with a spreadsheet, 7QC tools, and Why-Why Analysis to find the solutions to issues. The result can only be achieved after the data is evaluated in the food industry to discover a solution. Besides, the most effective improvement were suggested to the food industry based on the outcome results of these improvement suggestions. Thus, the company will understand how to use the right method to produce good product quality and solve the longterm challenge of manufacturing more products at the end of this research

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