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Penanda Bagikan

e-book

Total Quality Management

NVR. Naidu [et.al.] - Nama Orang;

Total Quality Management has now emerged as the most spectacular aspect of Management. This book covers fundamental concepts of Total Quality Management, its Principles & Practices and Tools and Techniques. Sufficient theory is presented to ensure that the reader has a sound understanding of the subject.

This book will serve the instructional needs of Engineering and Management students in technical institutions and universities. Apart from this, it also provides needs of various business organizations, healthcare and manufacturing industries.

This book covers a brief introduction of probability distributions followed by leadership theory and tools and techniques of total quality managemett. Other chapters discuss Control Charts for Variables and Attributes, Statistical Process Control (SPC), Quality Systems, Bench Marking, Quality Function Deployment (QFD), Quality by Design, Experimental Design, Taguchi’s Quality Engineering Products, Failure Mode and Effect Analysis (FMEA), Total Productive Maintenance, ISO 9000 and Management Tools.

This book also contains a number of solved problems for ease of grasping and appended with a good number of exercise problems at the end of each chapter. Statistical Quality Control Tables are also provided in order to facilitate ease of viewing the tables while using the book.


Ketersediaan

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Informasi Detail
Judul Seri
-
No. Panggil
-
Penerbit
New Delhi : New Age International (P) Ltd., Publishers., 2006
Deskripsi Fisik
v, 254 Hlm.
Bahasa
English
ISBN/ISSN
978-81-224-2534-5
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
MANAJEMEN MUTU
Info Detail Spesifik
-
Pernyataan Tanggungjawab
agus
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • FRONT MATTER
  • CONTENTS
  • 1. Quality and Quality Control
  • 2. Probability Distributions
  • 3. An Overview of Total Quality Management
  • 4. Leadership
  • 5. Tool and Techniques of TQM
  • 6. Statistical Process Control
  • 7. Control Charts for Attributes
  • 8. Acceptance Sampling
  • 9. Reliability
  • 10. Experimental Design
  • Statistical Quality Control Tables
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