
Prioritization of Failure Modes in Manufacturing Processes
Description
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A metal component supplier in the automotive sector
Part manufacturer for the automobile and engineering industries
Manufacturer of suspension components for commercial vehicles
Integrating human expertise and artificial intelligence on a single platform, the authors use fuzzy logic as a tool to overcome the vagueness associated with traditional methods of assessing potential failures. The book also details the procedure and scales of how to conduct FMEA, offering guidance on how to input and rank each risk within manufacturing processes across a range of sectors's. Each of the three real-world cases offer suggested improvements for the companies themselves, alongside takeaways for researchers and professionals within the fields of manufacturing and supply chain management.
More details
Persons
Harwinder Singh holds a Bachelor's degree in Mechanical Engineering, Master's degree in Production Engineering, Master's degree in Business Administration and PhD degree in Mechanical Engineering. The author has published more than 100 papers in international and national journals of repute. The author is working as a Professor in Mechanical Engineering at Guru Nanak Dev Engineering College, Ludhiana, Punjab. India. His field of interest is management of production systems, operations management and decision making.
Bhupinder Singh holds a Bachelor's degree in Mechanical Engineering and Master's degree in Industrial Engineering. The author is working as Assistant Professor in Mechanical Engineering Department at Lovely Professional University, Phagwara, Punjab, India. The author has published one book for the Polytechnic students. The author has one patent under his name. His field of interest is optimization, production management and quality control.
Content
Chapter 2. Traditional FMEA Application
Chapter 3. Fuzzy based FMEA application
Chapter 4. Fuzzy FMEA and fault tree analysis-application
Chapter 5. Line balancing problem - fuzzy based application
Chapter 6. Conclusions
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