Servitization and Physical Asset Management.

Format:

Book

Author/Creator:

Provost, Michael.

Language:

English

Subjects (All):

Manufacturing industries.

Service industries.

Organizational change.

Physical Description:

1 online resource (328 pages)

Edition:

1st ed.

Place of Publication:

Warrendale : SAE International, 2018.

Summary:

Provides a structured source of guidance and reference information on the business opportunities linked to servitization and the management of physical assets. The book offers overviews of how to servitized and manage assets from a variety of perspectives, reviewing nearly 1,500 books, magazine articles, papers and presentations and websites.

Contents:

Cover

Table of contents

Preface

Acknowledgments

List of Acronyms

CHAPTER 1 Introduction

A "Map" of the Book

What Are Assets?

Why Worry about Asset Management?

What Do We Need to Know about Our Assets?

How Do We Find Out What Is Happening?

What Is the Business Benefit?

Who Is in the Best Position to Carry Out Asset Management?

What Is Servitization?

Summary of the Book

References

Websites

CHAPTER 2 The Business Imperative

Introduction

Companies that Have Embraced Servitization

Problems and Issues with Making Services a Separate Business Unit

The Importance of Human Factors

Strategy

Financial Evaluation and Modelling

The Value of In-Service Monitoring of Assets

Life Cycle Costing

Process Chain Network Analysis

Books and Papers

Consultant Papers

Cambridge Service Alliance

Aston Business School

Other UK Universities

Universities Outside the United Kingdom

Additional Material

CHAPTER 3 Modelling and Simulation

Why Is Modelling and Simulation Useful?

Levels of Modelling

Simulation

Some Useful Sources of Information for Specific Disciplines and Equipment Types

General Mathematical Modelling

Modelling Tools

Reference Material

Aerodynamics, Fluid Mechanics, and Turbomachinery

Thermodynamics

Control Systems

Electrical Systems and Batteries

Heating, Ventilation, and Air Conditioning (HVAC)

Aeroengines and Gas Turbines

Aircraft

Automotive

Diesels and Turbocharging

Railways

Ships

Combined Heat and Power (CHP)

Fuel Cells

Pumps

Wind Turbines, Solar, and Renewable Energy

CHAPTER 4 Analysis

Facets of Analysis.

Difficulties with the Analysis Process

The "Traditional" Approach to Analysis

Iterative Analysis

An Alternative Approach to Analysis

Optimal Estimation and Kalman Filtering

The Kalman Filter Equations

Problems with the Kalman Filter

Reference

CHAPTER 5 Observability

Setting Up an Analysis

Generation of Exchange Rate Tables

Correlations Between Measurements

Inclusion of Sensor Bias

Correlations Between Component Performance Parameter Changes and/or Sensor Biases

CHAPTER 6 Time Series Analysis

Time Series Basics

Moving Average

Exponential Smoothing

Kalman Filtering

The Optimal Tracker

Improving the Optimal Tracker

Website

CHAPTER 7 Data Visualization

Fundamental Information Requirements

Typical Information Solutions

Typical Information Building Blocks

Alerts

Bar and Column Charts

Dashboards

Data Export Capabilities

Fault/Event Cubes

Mapping

Parallel Coordinates Plots

Reporting

"Smart" Analytics

Summary Statistics

Time Series

User-Defined Calculations

Weighted Lists

X-Y Plots

Drill-Down

Business Intelligence

CHAPTER 8 More Complex Techniques

Statistics

Data Science

Bayesian Statistics

R and Microsoft Excel®

Principal Component Analysis

Artificial Intelligence

Fuzzy Logic

Neural Networks

Case-Based Reasoning

KEEL®

Pattern Matching

Prognostics

Data Mining

Machine Learning

Websites.

CHAPTER 9 Data Gathering and Software Architectures

Software Schematics

Data Gathering

Machine to Machine (M2M)

The Industrial Internet and the IoT

Knowledge Management

Data Historians

Big Data

CHAPTER 10 The Practicalities

Reliability

Fault Trees, FMEA, FMECA, and FRACAS

Alarms

Maintenance

Spare Parts Management

Computerized Maintenance Management Systems (CMMS)

Availability

Condition Monitoring Techniques

Field Service

CHAPTER 11 Standards and Procedures

Asset Management

Condition Monitoring

An Observation

CHAPTER 12 Summary and Conclusions

Summary

Servitization and Asset Management: Nine Key Points

Conclusions

Appendix A: Simplified Servitization Example

Appendix B: Power System Example

The Scenario

Fuel Cell and Wind Turbine Modelling

Simulation Outputs

Analysis of Simulated Power System Data

Conventional Analysis

Time Series Visualization

Linear Regression

Parallel Coordinates Plot

Decision Trees

K Nearest Neighbors

Unsupervised Cluster Analysis

Support Vector Machines

A Final Thought

Looking after Planes, Trains, Clean Energy, and Human Health: 23 Important Lessons Learned the Hard Way

Examples and Stories

About the Author

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9780768094879

0768094879

OCLC:

1277061524