2nd Edition

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

By Kern Peng Copyright 2021
    262 Pages 25 B/W Illustrations
    by Productivity Press

    262 Pages 25 B/W Illustrations
    by Productivity Press

    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: Advancing in the Era of Smart Machines 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. Fundamentally, it:

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

    More specifically, 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.

    This second edition addresses the role of the development of the Internet of Things (IoT) and significant advancements in artificial intelligence (AI) and machine learning (ML) in enabling a new generation of smart machines, which have in turn laid the foundation for Industry 4.0. Equipment utilizing IoT and sensors can monitor components and allow them to be serviced at an exact time without the need for a preventive maintenance schedule. Moreover, equipment replacement rarely occurs at the end of the piece of 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 reduces the importance of the traditional maintenance function. Maintenance departments today operate with fewer employees and smaller budgets. At a point when machines are smart enough to keep themselves running or equipment is rendered obsolete by better equipment in a short time, such as with computers and cellphones, companies do not need a maintenance department.

    This updated edition reiterates the importance of transitioning to the post-maintenance era to effectively manage today’s sophisticated, smart yet expensive 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 become smarter, companies must change their practices and organizational structures to manage the new generation of equipment for Industry 4.0.



    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

    From CMMS to CEMS


    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




    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.