Update 23 martie - COVID-19 - Informații privind activitatea Books Express

Statistical Process Control in Manufacturing Practice (Lecture Notes in Pure and Applied Mathematics, nr. 51)

De (autor) ,
Notă GoodReads:
en Limba Engleză Hardback – September 1997
Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing. It is designed to assist manufacturing organizations in explaining and implementing successful SPC programmes.
Citește tot Restrânge

Din seria Lecture Notes in Pure and Applied Mathematics

Preț: 96025 lei

Preț vechi: 107893 lei

Puncte Express: 1440

Preț estimativ în valută:
18882 21581$ 17115£

Carte disponibilă

Livrare economică 31 iulie-12 august
Livrare express 28 iulie-05 august pentru 41805 lei

Preluare comenzi: 021 569.72.76


ISBN-13: 9780824701314
ISBN-10: 0824701313
Pagini: 240
Ilustrații: 1
Dimensiuni: 157 x 236 x 18 mm
Greutate: 0.49 kg
Ediția: 1
Editura: CRC Press
Seria Lecture Notes in Pure and Applied Mathematics


The history and application of statistical process control; measuring manufacturing processes; characterization of manufacturing processes; key aspects of manufacturing process; planning the statistical process control management system; problem solving and corrective action; continuous process improvement; customer satisfaction issues and SPC; how to do statistical process control operations. Appendices: histogram construction; calculating process validation; constructing X-bar and R charts; calculating Cp; calculating Cpk; process metrics associations; determining the number of process opportunities for errors; design and experiment; conducting a problem solving team; constructing and using the frequency chart; glossary of terms; using flow-charts as a manufacturing tool; constructing and using the Pareto chart; using the fishbone diagram for brain storming; constructing and using attribute charts.