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市場調查報告書

預知保全:運行時間

Predictive Maintenance: The Art of Uptime

出版商 Lux Research 商品編碼 355761
出版日期 內容資訊 英文 21 Pages
商品交期: 最快1-2個工作天內
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預知保全:運行時間 Predictive Maintenance: The Art of Uptime
出版日期: 2016年03月17日 內容資訊: 英文 21 Pages
簡介

即時檢測,在連接性、分析的改善,告訴全球產業機械中的下一代的預知保全解決方案的來到。

本報告提供預知保全調查分析,現狀和未來發展預測等系統性資訊。

摘要整理

形勢

  • 感測器、連接性、分析的進步,再形成維護方法,讓經營模式變化,給予供應商和業者大突破。

分析

  • 儘管證明了有效性,預知保全的引進在部分產業很消極。預知保全和連網型解決方案的引進,組織的規模和地區也發揮重要作用。

預測

圖表

目錄

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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