NIST Manufacturing Engineering Laboratory Intelligent Systems Division Theme

NIST • Manufacturing Engineering Laboratory • Intelligent Systems Division

ThemeTheme

Measure

Applications

Data Rendering


What is a factory and what are the data factors?

What is a factory and what are the data factors?



PlanningPlanning


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


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.


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


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


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.




Documents

NIST Manufacturing Engineering Laboratory Intelligent Systems Division Theme