Real-time Data in Manufacturing

Table of Contents

• EXECUTIVE SUMMARY
  • Introduction
  • Key findings
    • Manufacturers and real-time data
    • Applying real-time data to manufacturing
    • Infrastructure to support real-time data
  • The future decoded
    • Key findings
• INTRODUCTION
  • What is this report about?
  • Who is the target reader?
  • How to use this report
• MANUFACTURERS AND REAL-TIME DATA
  • Introduction
  • Key findings
  • Defining real-time data
  • Introduction to TDPs and demographics of sample size
  • What manufacturers believe real-time means to them and where it is captured from
  • Where do manufacturers believe they need to prioritize investment to capture real-time data?
  • Who would use real-time data?
  • What analysis would they do with the data?
  • Conclusions
    • The greatest demand for real-time data is in the enterprise manufacturing market, however SMBs should not be forgotten
    • Manufacturers know the importance of real-time data
    • The top-floor dictates the demand, but don't forget the shop-floor
• APPLYING REAL-TIME DATA TO MANUFACTURING
  • Introduction
  • Key findings
  • The supply chain operations reference (SCOR) model
    • Coverage of each SCOR functional group
    • Where does technology sit in this picture?
    • An example of technology mapping out to multiple SCOR process groups
  • Plan
    • How real-time data can help 'plan'
      • Forecasting
      • Accounting
      • Product design
      • Sales activities
    • Scope for real-time data / conclusions
    • Vendor activity in this area
      • Agile
      • Made2manage
      • Manugistics
      • SAP
      • UGS
  • Source
    • How real-time data can help 'source'
      • Supplier performance
      • Materials management
    • Scope for real-time data / conclusions
    • Vendor activity in this area
      • Ariba
      • Emptoris
      • I2
      • Swisslog
  • Make
    • How real-time data can help 'make'
      • Compliance and quality assurance
      • Asset management
      • Scheduling
      • Production monitoring
    • Scope for real-time data / conclusions
    • Vendor activity in this area
      • Activplant
      • Aspentech
      • Brooks
      • IBM
      • Oracle
      • OSISoft
      • Rockwell
      • Siemens
      • Sun
      • Wonderware
  • Deliver
    • How real-time data can help 'deliver'
      • Customer service
      • Transport/distribution
    • Scope for real-time data / conclusions
    • Vendor activity in this area
      • Provia
      • RedPrairie
  • Return
    • How real-time data can help 'return'
      • Warranty/service management
    • Scope for real-time data / conclusions
    • Vendor activity in this area
      • IBS
      • SSA Global
• INFRASTRUCTURE TO SUPPORT REAL-TIME DATA
  • Introduction
  • Key findings
  • Networking
    • How networking supports real-time data
      • Linking plant floor systems
      • Inter-facility connectivity
      • Mobile and distributed workers
    • Sizing the opportunity for vendors in Europe
    • Conclusions
  • RFID
    • How RFID supports real-time data
      • Asset management
      • Location systems/inventory management
      • Track and tracing
      • Distribution
    • Sizing the global RFID market
    • Conclusions
  • Conclusions
    • Infrastructure is key to real-time data
    • Vendors need to select sensible partners
• THE FUTURE DECODED
  • Introduction
  • Key findings
  • Datamonitor's view of real-time data market penetration
    • 'Make' processes provide the greatest opportunity for real-time data
    • Real-time data in 'plan' processes is in strong demand
    • Many vendors have overlooked the potential for real-time data in 'source'
    • Transport and logistics drives real-time data demand in 'deliver'
    • 'Return' holds the least potential for real-time data but opportunity still exists
  • Vendor strategy
• APPENDIX
  • Definitions
  • Relevant links
  • Future readings
  • SPP writing team
  • How to contact experts in your industry
  • List of Tables
    • Table 1: Plan vendor activity summary
    • Table 2: Source vendor activity summary
    • Table 3: Make vendor activity summary
    • Table 4: Deliver vendor activity summary
    • Table 5: Deliver vendor activity summary
    • Table 6: European MFG network market opportunity 2004-2009 ($m)
    • Table 7: European MFG network expenditure split 2004-2009 ($m)
    • Table 8: Global market for RFID 2004-2010 ($m)
    • Table 9: Global manufacturing RFID market 2004-2010 ($m)
    • Table 10: Global manufacturing industry RFID investment 2004-2010
  • List of Figures
    • Figure 1: European MFG network market opportunity 2004-2009 ($m)
    • Figure 2: Global market for RFID 2004-2010 ($m)
    • Figure 3: Global manufacturing industry RFID investment 2004 & 2010
    • Figure 4: Datamonitor TDP study sample demographics
    • Figure 5: Datamonitor TDP study sample demographics (II)
    • Figure 6: What does 'real-time' mean to manufacturers?
    • Figure 7: How much real-time data are manufacturers collecting?
    • Figure 8: Where do manufacturers believe they need to invest in order to better collect and access real-time data?
    • Figure 9: Who needs / would use real-time data?
    • Figure 10: What analysis would workers do with real-time data?
    • Figure 11: SCOR model
    • Figure 12: PLM primarily interacts with three SCOR process groups
    • Figure 13: European MFG network market opportunity 2004-2009 ($m)
    • Figure 14: European MFG network expenditure split 2004-2009 ($m)
    • Figure 15: Global market for RFID 2004-2010 ($m)
    • Figure 16: Global manufacturing RFID market 2004-2010 ($m)
    • Figure 17: Global manufacturing industry RFID investment 2004 & 2010
    • Figure 18: Qualitative assessment of real-time data opportunities