This chapterdealswithawidevarietyofcontrolcharts andwiththeir creation,interpretationĪnd maintenance via Minitab. Although originally developed for use in manufacturing industry theyĪre now widely applied to processes involving the provision of services in fields such as finance Such justification must come from empirical evidence that itĬontrol charts or process behaviour charts have been used for nearly 90 years to monitor The fact that the criterion which we happen to use has a fine ancestry in highbrow statistical 8 Todosapendices - Tablas de tuberías de diferente diámetro y presiones.467005535 1ST Grading EXAM KEY Answers docx.Introducción al estudio en línea- Apuntes 1-10.A2 MFVM - Diagrama radial sobre la oferta y demanda agregada de la macroeconomía.M09S2AI3 actividad integradora numero 3 del modulo 9.Actividad Integradora 1 Modulo 6, Prepa En Linea Sep.Ejemplo de Demanda de un Juicio Ordinario Mercantil.Glosario Obstetricia - GLASORIO DE TERMINOS DE OBSTETRICA CON 50 PALABRAS APROXIMADAMENTE.Formato de convenio de pensión alimenticia de mutuo acuerdo.Producto 4 taller de evaluación diagnostica.Línea del tiempo sobre la historia de la Microbiología.Resumen Capítulo 12 - Apuntes muy completos del Langman.Diferencias entre los métodos clásicos y los métodos Instrumentales de análisis- Cabrera Segovia.Ensayo sobre el Comportamiento Organizacional.Línea del tiempo sobre la historia de la nutrición-Ariani Archi.Capitulo 13 - La Microenomía suele ser un dolor de cabeza para los que estudian Economía.Redacción de informes tecnicos en inglés (RITI 1).Sociología de la Organización (Sociología).modulo 20 proyecto integrador (m20s4pi).Arquitectura y Patrimonio de México (Arq).Atracción, selección e incorporación de talento (EA-CH-14003).Termodinámica De Gases Y Vapores Y Laboratorio.Química industrial y sostenibilidad (QU13151).Contabilidad aplicada a los negocios v2 (AA1_EA2).In a mixture pattern, the points tend to fall away from the center line and instead fall near the control limits. Test 8: Eight points in a row more than 1σ from center line (either side) Test 8 detects a mixture pattern. Control limits that are too wide are often caused by stratified data, which occur when a systematic source of variation is present within each subgroup. This test detects control limits that are too wide. Test 7: Fifteen points in a row within 1σ of center line (either side) Test 7 detects a pattern of variation that is sometimes mistaken as evidence of good control. Test 6: Four out of five points more than 1σ from center line (same side) Test 6 detects small shifts in the process. Test 5: Two out of three points more than 2σ from the center line (same side) Test 5 detects small shifts in the process. You want the pattern of variation in a process to be random, but a point that fails Test 4 might indicate that the pattern of variation is predictable. Test 4: Fourteen points in a row, alternating up and down Test 4 detects systematic variation. This test looks for a long series of consecutive points that consistently increase in value or decrease in value. Test 3: Six points in a row, all increasing or all decreasing Test 3 detects trends. If small shifts in the process are of interest, you can use Test 2 to supplement Test 1 in order to create a control chart that has greater sensitivity. Test 2: Nine points in a row on the same side of the center line Test 2 identifies shifts in the process centering or variation. Test 1 is universally recognized as necessary for detecting out-of-control situations. Test 1: One point more than 3σ from center line Test 1 identifies subgroups that are unusual compared to other subgroups. Only Tests 1−4 apply to the R chart portion of this control chart. Test 2 detects a possible shift in the process.Įight tests are available with this control chart. For example, Test 1 detects a single out-of-control point. Each of the tests for special causes detects a specific pattern or trend in your data, which reveals a different aspect of process instability. Use the tests for special causes to determine which observations you may need to investigate and to identify specific patterns and trends in your data.
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