Solving Complex Industrial Problems Without Statistics

Sommario

Cursory Review. Assembly Problem. Faulty Thinking. Mixing Problem. Component Assembly. Assigning Responsibility. Damaged Components. New Process Development. Innovative Solutions. Electronic Chip Wafer. Machining Difficulties. Systemic Chaos. Sequestration Problem. Corroboration of Results. Summary. Appendix. Contains definitions.

Info autore

Ralph R. Pawlak is a graduate of Erie Community College, General Motors Institute, and The State University of New York, Buffalo. He earned an associate of applied science in industrial technology, a bachelor of science in industrial engineering, and a master of education, respectively, from these institutions. During his extensive career with General Motors, he served in several positions at various facilities in Tonawanda, New York; Danville, Illinois; and Romulus, Michigan. He also engineered start-up operations for Fisher-Price in China and Italy. Toward the end of his career, he returned to General Motors as a contract employee who was used as a consultant to suppliers.

Riassunto

Manufacturing and service organizations of all sizes must learn to problem solve or they will not survive. Methods and examples included in this book provide insight into the solution of complex quality and manufacturing problems, without the use of statistics. Each of the examples, which are provided in case study form, can be used as a guide w

Dettagli sul prodotto

• Autori: Ralph R. Pawlak, Ralph R. (Retired - General Motors Pawlak, Pawlak Ralph R.
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.05.2021
• EAN: 9780367782931
• ISBN: 978-0-367-78293-1
• Pagine: 143
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; BUSINESS & ECONOMICS / Decision-Making & Problem Solving, TECHNOLOGY & ENGINEERING / Quality Control, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Engineering (General), Management decision making, Engineering: general, Industrial quality control