Hype Cycle for Manufacturing Operations Strategy, 2018

Published: 26 July 2018 ID: G00340292


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To manage disruption with operational efficiencies supply chain leaders responsible for manufacturing strategy and performance must understand the maturity and viability of innovative technologies and core competencies. This Hype Cycle will help create roadmaps, align investments and educate peers.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Cyber Physical Systems
      • Cognitive Expert Advisors
      • Mobile Factories
    • At the Peak
      • Digital Thread
      • Workforce Analytics
      • Digital Twin
      • Solution-Centric Supply Chains
      • Digital Business
      • Smart Robots
      • Machine Learning
      • Prescriptive Analytics
    • Sliding Into the Trough
      • Augmented Reality
      • Predictive Analytics
      • IT/OT Convergence and Alignment
      • Supply Chain Convergence
      • Cloud Computing in Manufacturing Operations
      • Internet of Things for Manufacturing Operations
      • Supply Planning
      • 3D Printing in Manufacturing Operations
      • Manufacturing Segmentation
      • Corporate Social Responsibility
      • Industrial Operational Intelligence
      • Operational Technology Security
      • Asset Performance Management in Manufacturing Operations
      • Digital Manufacturing
    • Climbing the Slope
      • Track-and-Trace and Serialization
      • Manufacturing Network Design
      • Synchronized BOMs
      • Corporate Production Systems
      • Overall Equipment Effectiveness (OEE)
      • Supplier Quality
      • External (Third-Party) Manufacturing
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2018 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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