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予知保全:アップタイム

Predictive Maintenance: The Art of Uptime

出版日: | 発行: Lux Research | ページ情報: 英文 21 Pages | 納期: 即日から翌営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=106.59円
予知保全:アップタイム
出版日: 2016年03月17日
発行: Lux Research
ページ情報: 英文 21 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

リアルタイム検出、コネクティビティ、アナリティクスにおける改善は、世界の産業機械における次世代の予知保全ソリューションの到来を告げています。

当レポートでは、予知保全について調査分析し、現状や将来見通しなど、体系的な情報を提供しています。

エグゼクティブサマリー

情勢

  • センサー、コネクティビティ、アナリティクスの進歩は、保守アプローチを再形成し、ビジネスモデルを変化させ、ベンダーやオペレーターに大きなチャンスを与える。

分析

  • 有効性が証明されているにもかかわらず、予知保全の導入は一部の産業で消極的である。予知保全やコネクテッドソリューションの導入では、組織の規模や地域も重要な役割を果たす。

見通し

図表

目次

Improvements in real-time sensing, connectivity, and analytics are ushering in the next generation of predictive maintenance solutions for the world's industrial equipment. But before widespread deployment of next-generation solutions can take place, many organizations will need to catch up culturally and take the first steps towards initial investments in basic predictive maintenance programs. In this report, we will explore the current state of the art and the future of advanced predictive maintenance approaches. Through detailed analysis of survey results, we will also explore the current state of adoption of predictive maintenance across organzations of different industries, regions, and sizes.

Table of Contents

EXECUTIVE SUMMARY

LANDSCAPE

  • Advances in sensors, connectivity, and analytics are reshaping maintenance approaches and changing business models. These developments are creating massive opportunities for vendors and operators.

ANALYSIS

  • Despite proven performance benefits, PdM adoption is slow in some industries. Organization size and region also play important roles in the adoption of PdM and connected solutions.

OUTLOOK

TABLE OF FIGURES

  • Figure 1: Graphic Evolution of Maintenance Approaches
  • Figure 2: Graphic Table of Condition Monitoring Techniques and Applications (Adapted from Reliability Centered Maintenance Guide for Facilities and Collateral Equipment, NASA1)
  • Figure 3: Graphic Comparing Today's PdM to Tomorrow's
  • Figure 4: Table Examples of Successful PdM Implementations
  • Figure 5: Graphic Evolution of PdM OPEX Business Models for OEM Vendors
  • Figure 6: Table Examples of OEMs Offering PdM Service Models
  • Figure 7: Table Examples of PdM Offerings from Solution Vendors
  • Figure 8: Graphic Respondents Represent Multiple Industries and Organization Sizes
  • Figure 9: Graphic Manufacturing Lags Behind Energy and Heavy Industry in PdM Adoption
  • Figure 10: Graphic Organizations that Have Deployed PdM Are Largely Pleased with the Results of Their PdM Deployments
  • Figure 11: Graphic Reduced Breakdown Frequency and Increased Uptime Are Reported by More than 60% of Organizations that Have Deployed PdM
  • Figure 12: Graphic Lack of Awareness and Culture Are Reported as Reasons for Not Implementing by PdM by More than 50% of Organizations That Have Not Yet Implemented a PdM Program
  • Figure 13: Graphic Heavy industry Is Most Comfortable with Internet Monitoring as an Industry; North America Is Most Comfortable with Internet Monitoring as a Region
  • Figure 14: Graphic Smaller Organizations Are Less Comfortable with Internet Monitoring
  • Figure 15: Graphic Solution stack and information flow for the ThyssenKrupp MAX platform
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