Kanban: Y JUST-IN-TIME EN TOYOTA
Autor Japan Management Associationen Limba Engleză Hardback – 15 aug 2017
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Specificații
ISBN-13: 9781138438583
ISBN-10: 1138438588
Pagini: 230
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Productivity Press
Locul publicării:Oxford, United Kingdom
ISBN-10: 1138438588
Pagini: 230
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Productivity Press
Locul publicării:Oxford, United Kingdom
Public țintă
Professional Practice & DevelopmentCuprins
Prologo del traductor de la edicion en ingles, Prologo del editor en lengua inglesa, 1: La fuente de Ios beneficios esta en el proceso de fabricación, 2 Supuestos basicos del sistema de producción de Toyota, 3 Nivelación-equilibrado del sistema de producción, 4 «Just-in-time» y automatización, 5 Control de lugares de trabajo a traves del sistema Kanban, 6 Lugares de trabajo determinados por las operaciones estandares, 7 Actividades de mejora para la reduccion de horas-hombre, 8 Producción de alta calidad con seguridad, Apendice A Planificación de la producción que conecta Toyota Motor con fabricantes de piezas y distribuidores, Apendice B Gestión de Toyota en sus plantas en el extranjero
Descriere
Drawn from nearly four decades of Lawrence L. Kupper‘s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical biostatistical principles to real-world situations, including some of the authors own biostatistical work that has addressed complicated design and analysis issues in the health sciences.This classroom-tested material is arranged sequentially starting with a chapter on basic probability theory, followed by chapters on univariate distribution theory and multivariate distribution theory. The last two chapters on statistical inference cover estimation theory and hypothesis testing theory. Each chapter begins with an in-depth introduction that summarizes the biostatistical principles needed to help solve the exercises. Exercises range in level of difficulty from fairly basic to more challenging (identified with asterisks).By working through the exercises and detailed solutions in this book, students will develop a deep understanding of the principles of biostatistical theory. The text shows how the biostatistical theory is effectively used to address important biostatistical issues in a variety of real-world settings. Mastering the theoretical biostatistical principles described in the book will prepare students for successful study of higher-level statistical theory and will help them become better biostatisticians.