NIST Manufacturing Engineering Laboratory Intelligent Systems Division Theme.
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Transcript of NIST Manufacturing Engineering Laboratory Intelligent Systems Division Theme.
NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division
ThemeTheme
Measure
Applications
Data Rendering
NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division
What is a factory and what are the data factors?
What is a factory and what are the data factors?
NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division
What to measure?What to measure?Requirements
Important, effective, necessary, Random Tradeoff between 100% quality and infinite time
KPI ISO standard: ISO 22400 Process cycle time, process yield, resource time between failure,
resource time to repair, process cycle times, process setup and paused times, resource/process energy consumption
DES Statistical inference of plant behavior Faults
NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division
DefinitionsDefinitionsThe primary goal of a MES is to provide an
information system that can be used for optimizing production activities in a manufacturing facility with the focus on quick response to changing conditions. A MES is a system that consists of a set of integrated
software and hardware components that provide functions for managing production activities from job order launch to finished products.
NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division
Key Business Drivers Key business drivers are the areas of performance that are most critical to
an organization's success Available To Promise
Requires detailed knowledge of available capacity Reduced Cycle Time
Major performance indicator with a direct impact on corporate profitability
Supply Chain Optimization Optimizing the manufacturing link in the supply chain –agile &
responsive Asset Efficiency
Requires detailed knowledge of actual use Agile Manufacturing
Requires ability to quickly synchronize planning and production
NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division
Track Production Units and Resources Provide the information on where any production unit is at all times and its
disposition. Also provide the product genealogical information, such as who worked on it, current production information, component materials by supplier, lot number, serial number, any rework, measured data, or other exceptions related to the product.
ISA-95 - Operations Schedule• What actions to perform• – Materials to make• – Priority and/or dates• – What materials to use• – What equipment to use• – What personnel to use• – Production parameters (e.g. Color, Options,…)• • Per Segment (step in production)• • Per location (Site, Area, …)• • Per week day shift order
NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division
DiscussionDiscussion Measuring shop-floor data for LCA analysis using MTConnect
is feasible Efficient – quick turnaround for performing Kaizen Energy Consumption
and Event archiving Best for non-real-time data analysis Cost-effective for smaller operations
Actual shop floor data helped understand LCA energy consumption during production Machine tools are relatively efficient Energy consumption results compare well to related energy consumption
work performed at NIST• Lanz, M, Mani, M. Lyons K. Ranta, A., Ikkala, K and Bengtsson, N. 2010, “Impact of energy measurements in
machining operations”. In 2010 ASME Design and Engineering Technical Conference (DETC), Proceedings of 2010 International Computers and Information in Engineering Conference, ASME.
Sensitivity and Trending analysis Future plans are for examining quality relationship between process and
energy consumption. For example, an unexpected rise in energy consumption could indicate an underlying process error.