2nd Edition

Equipment Management in the Post-Maintenance Era
Advancing in the Era of Smart Machines

  • Available for pre-order. Item will ship after November 24, 2021
ISBN 9780367516994
November 24, 2021 Forthcoming by Productivity Press
248 Pages 25 B/W Illustrations

USD $59.95

Prices & shipping based on shipping country


Book Description

Recent advancements in information systems and computer technology have led to developments in equipment and robotic technology that have permanently changed the characteristics of manufacturing equipment. Equipment Management in the Post-Maintenance Era: A New Alternative to Total Productive Maintenance (TPM) introduces a new way of thinking to help high-tech organizations manage an increasingly complex equipment base. It also facilitates the fundamental understanding of equipment management those in traditional industries will need to prepare for the emerging microchip era in equipment.

Kern Peng shares insights gained through decades of managing equipment performance. Using a systems model to analyze equipment management, he introduces alternatives in equipment management that are currently gaining momentum in high-tech industries. The book highlights the fundamental internal flaw in maintenance organizational setup, presents new approaches to replace maintenance functional setup, and illustrates a time-tested transformation and implementation process to help transition your organization from the maintenance era to the new post-maintenance era.

  • Breaks down the history of equipment into five phases
  • Provides a clear understanding of equipment management fundamentals
  • Introduces alternatives in equipment management beyond the mainstream principles of maintenance management

The book examines maintenance management logistics, including planning and budgeting, training and people development, customer services and management, vendor management, and inventory management. Supplying a comprehensive look at the history of equipment management, it analyzes current maintenance practice and details approaches that can significantly improve the effectiveness and efficiency of your equipment management well into the future.

Regarding this second edition, within the past few years, the substantial development of Internet of Things (IoT) and significant advancements in artificial intelligence (AI) and machine learning (ML) have enabled a new generation of smart machines, which set the foundation for the Industry 4.0. Equipment utilizing IoT and sensors can monitor the components to be serviced at an exact time without the need to set a Preventive Maintenance schedule. Another fact is that equipment replacement rarely occurs at the end of the equipment’s natural life; rather, replacement is driven by the introduction of new technologies and products – all of which lead to less maintenance activities and the traditional maintenance function becoming less vital. Explicitly, maintenance departments are operating with less employees and a smaller budget. At a point when machines are smart enough to keep themselves running or equipment are rendered obsolete by better equipment in a short time similar to computers and cellphones, companies do not need a maintenance department. This updated edition reiterates the importance of transitioning to the post-maintenance era in order to effectively manage today’s sophisticated, smart and yet expansive equipment. Many changes the author predicted a decade ago are accelerating in the IoT era. Equipment management is moving further away from the maintenance era and advancing deeper into the post-maintenance era. The trend for smart machines is very clear and companies that do not upgrade their equipment will lose their competitiveness. As equipment and factories becoming smarter, companies must change their practices and organizational structures to manage the new generation of equipment for the upcoming Industry 4.0.

Table of Contents



Chapter 1. Introduction to Equipment Management


Maintenance Management

Equipment Management

Key Equipment Terminology

Chapter 2. Development of Equipment Management:

From Premaintenance to Maintenance Era

Phase 1: Breakdown Management

Phase 2: Preventive Maintenance

Phase 3: Productive Maintenance

Phase 4: Total Productive Maintenance (TPM)

Phase 5: TPM with Predictive Maintenance

Chapter 3. Advancing in the Post-maintenance Era: From Robotic Automation to Smart Machine to Smart Factory

The New Business Environment

The Issues of Maintenance

The Post-maintenance Era

Phase 6: Robotic Automation

Phase 7: Smart Machine

Phase 8: Smart Factory

Chapter 4. The Systems View of Equipment Management

Environmental Suprasystem

Goals and Values Subsystem

Structural Subsystem

Technical Subsystem

Psychosocial Subsystem

Managerial Subsystem

Chapter 5. Strategic Changes in the Post-Maintenance Era

Equipment Management Objectives

Organizational Structure Changes

The Platform Ownership Concept

Employee Skill Requirements

Work Environment Improvements

Management Changes

Chapter 6. Adoption of the Maintenance Concepts

Preventive Maintenance (PM)

Reliability Centered Maintenance (RCM)

Predictive Maintenance (PdM)

Maintenance Prevention (MP)

Total Productive Maintenance (TPM)


Chapter 7. Equipment Management Logistics

Planning and Budgeting

Training and People Development

Customer Services and Management

Vendor, Supplier and Contract Management

Inventory Management

Chapter 8. Performance Indicators

Equipment Performance Indicators

Process Performance Indicators

Cost Performance Indicators

Integrated Indicators

Chapter 9. Computerized Management Systems

CMMS Functions

CMMS Features



Chapter 10. Transformation to the Post-maintenance Era

Environmental Studies

Managerial Preparedness

Initiate Goals and Values Changes

Initiate Psychosocial Changes

Initiate Technical Changes

Initiate Structural Changes



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Dr. Kern Peng holds two doctorate degrees, one in mechanical engineering specializing in nanocomposite materials, and the other in business administration specializing in operations management. He also holds an MBA in computer information systems and a BS in industrial engineering.

Dr. Peng designed and has been teaching the Equipment Management course at Santa Clara University, Santa Clara, California, since 2001. In addition, he regularly teaches four other master level courses in engineering management at SCU. Before that, he also taught MIS courses at San Jose State University, San Jose, California.

Dr. Peng has more than 26 years of people and project management experience in engineering and manufacturing, with over 19 years at Intel Corporation. He has mastered all aspects of engineering and manufacturing management and has proven results in finding innovative solutions to business and engineering problems. He has been accorded more than 50 career awards in the areas of engineering design; software development; technical paper publication; problem resolution; project management and execution; teamwork; and leadership.