Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation Testbed
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Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation Testbed

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Conference: 2012 IEEE International Conference on Industrial Informatics ...

Conference: 2012 IEEE International Conference on Industrial Informatics

Title of the paper: Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation Testbed
Authors: Bin Zhang, Corina Postelnicu, Jose Luis Martinez Lastra

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  • KPI to improve the awareness of different manufacturing assets, including those related to energy efficiency. SOA + Web Servicesapplication of an Event Processing Language based on rules.
  • Now, this assembly line is used for research purposes. In order to simulate the production, drawings are done by robots. It’s main advantage is that we can make different drawings (to simulate parts of an assembly) and also different colors of ink can be used to increase the complexity of the systems as well as production customization.
  • 3 models for each part
  • And different colors
  • Each device has an embedded controller used to control de devices using web servicesEach cell has 3 controllers12 cells = 36 controllers + 2 extra for main cell = 38 controllers
  • Model View Controller design pattern, The Model manages the application data. The View displays the data to the user. A Controller is associated to each View and informs the Model when a new input has been performed on the View

Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation Testbed Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation Testbed Presentation Transcript

  • Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation TestbedDate: July, 2012 Conference: 2012 IEEE InternationalLinked to: eSONIA Conference on Industrial Informatics Title of the paper: Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation Testbed Authors: Bin Zhang, Corina Postelnicu, Jose Luis Martinez LastraContact informationTampere University of Technology,FAST Laboratory, If you would like to receive a reprint ofP.O. Box 600, the original paper, please contact usFIN-33101 Tampere,FinlandEmail: fast@tut.fiwww.tut.fi/fast
  • Key Performance Indicators for Energy Efficient Asset Management in a Factory Automation Testbed. Bin Zhang Corina Postelnicu Jose L. Martinez Lastra Tampere University of Technology, FinlandARTEMIS eSONIA project (Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset Aware and Self Recovery Factory)
  • Outline1. Background. Testbed.2. Key Performance Indicators. Event Processing Language rules3. Examples4. Conclusions
  • 1. Background. TestbedFASTORY
  • Production
  • Production3 parts Frame Screen Keyboard3 MODELS
  • Production3 COLOURS
  • Production + + + + + + + + = 729 product variants
  • Manufacturing cellembedded controllers to controlthe devices using web servicesEach cell has 3 controllers Energy consumption
  • 3. Event Processing Language rules forKPI retrievalEsper: a Java based component developed for rapid development of applications which require processing of large volumes of events in real time. A database stores data and manipulates it according to incoming queries  Esper responds according to incoming events stores queries in an engine  Event Processing Language (EPL) syntax  Rely on CAMX IPC-254x and IPC255x standards
  • select a.cellId as cellId, a.dateTime Cell ID, as dateTime, b.AWATTHR as energy, energy use a.palletId as palletId when the from pattern [ every robot starts a=EquipmentChangeState to execute, (currentState="READY- Energy use, pallet ID and Energy PROCESSING-EXECUTING") -> states of time stamp consumption b=EnergyMeter(cellId=a.cellId)] Unit energy consumption working cells, for producing select a.cellId as cellId, a.dateTime cell ID and Cell ID, one product as dateTime, b.AWATTHR as energy, pallet ID energy use a.palletId as palletId when the from pattern [ every robot stops to a=EquipmentChangeState execute, (previousState="READY- pallet ID and PROCESSING-EXECUTING") -> time stamp b=EnergyMeter(cellId=a.cellId)] select a.cellId as cellId, a.dateTime Cell ID, as dateTime, b.AWATTHR as energy, energy use a.processType as processType when the from pattern [ every robot starts a=EquipmentChangeState to execute, (currentState="READY- process type PROCESSING-EXECUTING") -> Energy use, and time b=EnergyMeter(cellId=a.cellId AND Energy states of stamp processType = a.processType)]Process energy consumption consumption working cells, select a.cellId as cellId, a.dateTime per process type of process Cell ID, as dateTime, b.AWATTHR as energy, and cell ID energy use a.processType as processType when the from pattern [ every robot stops to a=EquipmentChangeState execute, (previousState="READY- process type PROCESSING-EXECUTING") -> and time b=EnergyMeter(cellId=a.cellId AND stamp processType=a.processType)]
  • Other KPI discussed in the paperUnit production timeUnit processing timeProduction shutdownsCell Production RateCell energy consumptionUnit energy consumptionMTTRMTTFMTBFFrame quality rate, Keyboard quality rate, Screen quality rate, Overall quality rateTotal energy consumptionLine Production Rate
  • 4. Summary calculation of KPI values at runtime EPL rules running on Esper engine KPI management system implemented as a web application with MVC design pattern.Future work: targets set for the selected indicators, so that overall performance is improved continuously; alarm mechanisms designed to visually announce out-of- preset-boundaries behavior;
  • Thank you! bin.zhang@tut.ficorina.postelnicu@tut.fi
  • 2. Implementation architecture Web services discovery via request from a web browser  initiation of the WS4D framework  a client is created in this framework for receiving information from web services within the line.
  • Background8 step iterative model for design of Key Performance Indicators