LEADER 05304nam 2200661 a 450 001 9910822449603321 005 20240313143434.0 010 $a1-118-58015-X 010 $a1-118-58011-7 010 $a1-299-18689-0 035 $a(CKB)2550000001005871 035 $a(EBL)1124090 035 $a(OCoLC)828299014 035 $a(SSID)ssj0000991009 035 $a(PQKBManifestationID)11550155 035 $a(PQKBTitleCode)TC0000991009 035 $a(PQKBWorkID)10989411 035 $a(PQKB)10812722 035 $a(OCoLC)834544409 035 $a(MiAaPQ)EBC1124090 035 $a(Au-PeEL)EBL1124090 035 $a(CaPaEBR)ebr10658484 035 $a(CaONFJC)MIL449939 035 $a(EXLCZ)992550000001005871 100 $a20120925d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied quality control /$fAmmar Grous 205 $a1st ed. 210 $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2013 215 $a1 online resource (290 p.) 225 0 $aFracture mechanics ;$v3 225 0 $aMechanical engineering and solid mechanics series 300 $aDescription based upon print version of record. 311 $a1-84821-442-1 320 $aIncludes bibliographical references and index. 327 $aTitle Page; Contents; Preface; Glossary; Chapter 1. Quality Control; 1.1. Introduction to statistical process control; 1.2. Classical tolerancing and quality control; 1.2.1. ISO norms in quality control; 1.2.2. QS9000 approach; 1.2.3. Capabilities of CNOMO E41.36.110.N control means; 1.2.4. Some capability indicators according to ISO/TS 16949, ISO 8258 and Ford; 1.2.5. Metrological audits; 1.3. The Pareto law - ABC method; 1.3.1. Practical application; 1.3.2. Malfunction spread over 16 so-called "nevralgic" points; 1.4. Lot inspection by attributes 327 $a1.4.1. Areas on which lot inspection operates1.4.2. (np) chart for controlling the number of defects; 1.4.3. (c) card to control the number of defects; 1.4.4. Average lot quality after control; 1.4.5. Choosing a sample plan; 1.4.6. Wald plan case study; 1.4.7. Average long-term controlled quantity; 1.4.8. Case study of a simple sampling plan; 1.4.9. Poisson distribution of cumulative probabilities; 1.5. Theoretical basics of control by measurement; 1.5.1. Choosing a simple sampling plan; 1.5.2. Choosing a simple or double sampling plan; 1.6. Analysis of process capability 327 $a1.6.1. Capability indices for a normally distributed variable: X (?, ?)1.6.2. Machine capability Cm and Cmk; 1.7. Capability for a non-normal distribution; 1.8. Control by measurement charts; 1.8.1. Size of the samples to be taken and the frequency of control; 1.8.2. Factor for control of X (mean) and range (R); 1.9. Production and reception control; 1.9.1. Machine adaptation with respect to production tolerances; 1.9.2. Proportion of faulty units; 1.10. Control charts; 1.10.1. Control by measurements charts for the mean X and the range R; 1.10.2. Calculating control limits and case study 327 $a1.10.3. Study of X /R control charts - quality control lab1.10.4. Graphical representation of the rejections due to non-conformity to TI; 1.10.5. Performance case study: Capabilities; 1.10.6. Calculating machine capability indices: Cm and Cmk; 1.11. Conclusion; 1.12. Bibliography; Chapter 2. Quality Control Case Studies; 2.1. The tools of quality, as per W. Deming; 2.2. Failure modes, effects and criticality analysis; 2.3. Total productive maintenance method; 2.4. The LMMEM "5M" process method; 2.5. Estimations of times in mechanical productions (machining) 327 $a2.5.1. Optimizing times and costs in mechanical production2.6. Stock management and supply methods; 2.6.1. Hypothesis of a general method to improve stock management; 2.7. Short summary of control charts; 2.7.1. The various control charts; 2.7.2. Measurement control charts - stability control charts (Shewhart); 2.7.3. Estimating ?0 and ?0; 2.7.4. Efficiency - chart of the average; 2.7.5. Control chart by attributes - determining the limits; 2.8. CUSUM charts; 2.8.1. EWM charts; 2.8.2. Shewhart charts for the average X, the range R and the standard deviation (s) 327 $a2.8.3. Control charts for the average X and the range R 330 $a This third book of a 3-volume set on Fracture Mechanics adds a pragmatic and supportive character to the previous volumes by focusing on case studies using corrected exercises that teachers, students or engineers will find extremely useful. Due to the wide themes approached in this series, it can also be used to organize work in this field in a new way, as well as in the maintenance of industrial plants.Several cases of sampling plans and their applications in industry are presented, as well as several solved case studies on the main indicators of capability according to ISO/TS 16949, 410 0$aISTE 606 $aProduction management$xQuality control 615 0$aProduction management$xQuality control. 676 $a620.0045 700 $aGrous$b Ammar$0889240 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822449603321 996 $aApplied quality control$94049832 997 $aUNINA