Baudin Manufacturing Intelligence

The art of making factory data talk
1. Auflage 2015
ISBN: 978-1-4822-8209-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 250 Seiten

Written as an aid in obtaining information to solve factory problems, this text explains how to work with the information systems staff to retrieve factory data from the multiple and often incompatible legacy systems they typically reside in. The author examines the three sources of information: direct observation of the situation; interviews with knowledgeable managers, engineers, or operators; and existing data. By presenting solutions for acquiring information, ways to analyze the information, and systems of presentations, the book offers tricks to make the tangle of obsolete and inconsistent legacy systems produce timely answers.

Zielgruppe

Manufacturing engineers and managers, Lean champions and members of a plant’s Lean support group, and consultants.

Autoren/Hrsg.

Baudin, Michel

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)

Inhaltsverzeichnis

MOTIVATION
One day in manufacturing data hell
Sources of information about a manufacturing business
Problems with current practices
Categories of manufacturing data
Quantities of manufacturing data
Four challenges
Shortcomings of academia
Shortcomings of managers
The proper balance of effort

RETRIEVING AND PREPARING THE DATA
Data, information and knowledge
Types of data
Sources
Retrieving the data
Cleaning the data

MAKING THE DATA TALK
Use of visualization techniques rather than decision theory
Use of query language to sort, filter, cross-reference, and tabulate
Multiple forms of Pareto analysis, by brand, product families, products, options, component consumption, etc.
Analysis of similarities between products
Time-series analysis of historical data on production, sales, quality, maintenance, employee turnover, etc.
Work sampling and analysis based on snapshots
Age-analysis of snapshot data
Use of the Excel analysis package
Use of specialized statistical packages like Minitab, SAS, or Statistics

PRESENTING THE FINDINGS
Edward Tufte’s do’s on presentation:

Edward Tufte’s don’ts on presentation:

Summarizing in metrics
Validating the findings through direct observation
Considering future plans, not just history
Driving changes in logistics and production

Über Autor(innen)

Michel Baudin is an associate of MMTI in Palo Alto, California.