製造業之即時資料利用

本報告已在2011年07月19日停止出版。

簡介

製造業追求合理的供給鍵、節省作業間無謂的工作時間成本，故即時資料的利用成為矚目的焦點。 這個觀念在以前雖然早就存在，但拜技術發展與市場需求之賜，最近各製造商比以往更致力於此。

從事多種市場領域調查分析的英國調查公司 Datamonitor Corporation（總公司：倫敦），針對製造業即時資料利用情形進行調查分析，並出版報告書 "Real-time Data in Manufacturing" 。

報告書內容包括：對即時資料的理解程度及製造業利用情況、計畫與資材調度、製造等各流程的利用方式、網路化及 RFID 等  IT 市場 的因應之調查分析、今後預測與策略、提議等，內容綱要摘記如下。

實施概要

• 簡介
• 今後預測

前言

• 關於此報告書
• 目標讀者
• 此報告書的利用方式

製造業與即時資料

• 簡介
• 主要調查結果
• 即時資料之定義
• TDP 概論與樣本之人口統計數據
• 對製造業而言的即時
• 為取得即時資料的初期投資：投入時點
• 即時資料之利用者
• 利用即時資料進行分析的對象
• 結論

製造業即時資料之運用

• 簡介
• SCOR（Supply Chain Operations Reference）模式
• 「計畫」流程
• 「資材調度」流程
• 「製造」流程
• 「進貨」流程
• 「退貨」流程

即時資料之支援基盤

• 簡介
• 主要調查結果
• 網路化
• RFID
• 結論

今後展望

• 簡介
• 主要調查結果
• 深入到即時資料市場：Datamonitor 的提議
• 銷售策略

附錄

• 定義
• 相關連結
• 相關資料
• SPP 編撰小組
• 產業專家與聯絡方式
• 圖表

目錄

Abstract

Overview

Introduction

Real-time data in manufacturing is receiving increasing attention throughout the industry as manufacturers look to further streamline supply chain processes and remove waste from their manufacturing operations. The concept has been around for some time now, but it is only recently through technological innovation and increased market pressures that manufacturers are further focusing their efforts.

Scope

• This report looks at what manufacturers believe real-time data to really be, and where they think it can fit within their businesses.
• Also covered is how real-time data sits within different process groups such as 'plan', 'source', 'make', 'deliver' and 'return'.
• Within each process group, products from different types of technology vendors are analysed to see exactly how the IT market is responding to demand.
• Finally, the European market for networking, and the global market for RFID are forecast. This infrastructure will underpin real-time data solutions.

Report Highlights

'Make' provides one of the areas of manufacturing with the most potential for real-time data-driven benefit. For manufacturers to really improve their production-related processes they need to be able to better understand what is happening on their shop-floor and how top-floor systems are interacting with it.

Networking can support real-time data within manufacturing in a number of different ways. These include linking shop-floor automation systems with each other as well as business systems, connecting geographically dispersed plants or facilities and facilitating collaboration between different business units and personnel.

The pharmaceutical and CPG industries will be facing the strictest government and customer mandates while the automotive industry, already one of the most RFID-enabled industries, will be looking to continue its supply chain refinement, reduce warranty costs, enhance parts management and improve configuration management in production.

Reasons to Purchase

• Understand what manufacturers believe real-time data to be and where they think it can benefit their businesses.
• Identify key areas for implementing real-time data within manufacturing businesses and how some vendors are developing products accordingly.
• Assess the market opportunity for both networking and RFID technology within the manufacturing industry.

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

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