Literature Review On Quality Control

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The present chapter provides an overview of literature conducted during the research. It includes previous studies and development carried out by various researchers and their findings.
Patel et al. (2014) Conducted study at MIRANDA TOOLS, GIDC Gujarat, the aim the study was to improve the quality level by finding out the root causes with the help of quality control tools. The tools used in the study were Check Sheet, Pareto Diagram, Histogram, Cause-and-effect diagram, Control Chart, Run-Chart and Scatter-Diagram. Quality control tools are important tools used widely at manufacturing field to monitor the continuous process improvement and overall operation. The Quality Control tools were used to find the root
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(2013) conducted study in production processing line to reduce the defects by identifying where the highest waste occurred. The statistical process control (SPC) tool were used. The approach used in this study was direct observation, brainstorming session, fishbone diagram, and information has been collected from customers and workers through questionnaire and interviews. Pareto chart and control chart (p-chart) was constructed. It was found that in the company there was high rejection and waste in the production line. The vital few problems were identified, with the Pareto analysis. It was found that the double seam, blisters, stone, overweight, pressure failure were the vital few problems. The aim of the study was use of SPC tools in the problem analysis. Especially to train the quality team about how to hold an effective brainstorming session and use of these data in cause-and-effect diagram construction, control chart and Pareto analysis construction. Within short period of time the company has many constraints to implement all suggestion for improvement; the company recognized that in the long the suggestion will provide significant productivity…show more content…
This research combines human's unique association thinking with the intelligent agent technique, devising an automated decision agent called Semantic Ideation Learning Agent (SILA) that can represent a session participant to actively participate in brainstorming. SILAs were grounded on the three association capabilities of human's thinking (similarity, contiguity, contrast). Moreover, a Collective Brainstorming Decision System (CBDS) was built to furnish an environment where SILAs could learn and share their knowledge with each other. The evaluation results were fairly
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