Methodology for Data-Informed Process Improvement to Enable Automated Manufacturing in Current Manual Processes
نویسندگان
چکیده
منابع مشابه
Quality Improvement using Data Mining in Manufacturing Processes
Nowadays, manufacturing enterprises have to stay competitive in order to survive the competition in the global market. Quality, cost and cycle time are considered as decisive factors when a manufacturing enterprise competes against its peers. Among them, quality is viewed as the more critical for getting long-term competitive advantages. The development of information technology and sensor tech...
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A variety of methodologies are available for process improvement. These include Six Sigma, Lean Management, Lean Six Sigma, Agile Management, Re-engineering, Total Quality Management, Just-In-Time, Kaizen, Hoshin Planning, Poka-Yoka, Design of Experiments, and Process Excellence. Consulting firms all seem to have one of these that they claim is the best. The large number of competing approaches...
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The define–measure–analyze–improve–control (DMAIC) approach is a five-strata approach, namely DMAIC. This approach is the scientific approach for reducing the deviations and improving the capability levels of the manufacturing processes. The present work elaborates on DMAIC approach applied in reducing the process variations of the stub-end-hole boring operation of the manufacture of cra...
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The manufacturing industry is faced with strong competition making the companies’ knowledge resources and their systematic management a critical success factor. Yet, existing concepts for the management of process knowledge in manufacturing are characterized by major shortcomings. Particularly, they are either exclusively based on structured knowledge, e. g., formal rules, or on unstructured kn...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2021
ISSN: 2076-3417
DOI: 10.3390/app11093889