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IFT2004-Elements of a Successful Data Collection System

May 29, 2018

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Jeffery Cawley
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    Elements of a SuccessfulPlant Data Collection System

    Jeffery L. CawleyNorthwest Analytical, Inc.

    39-2

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    NWA Northwest Analytical, Inc.

    Process & Product Quality ControlData Collection

    SPC Analysis & ReportingIntegration with Manufacturing and EnterpriseManagement Information Systems

    Booth 2274

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    Process Data Collection

    Realtime Control Systems

    Plant Floor Data Collection

    Laboratory

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    Data Collection Modes

    On-Line

    Control Systems - HMI/SCADA

    In-line sensors Automated operation

    APC capability

    Data local log file orto historian for SPC & CPI

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    Data Collection Modes

    At-Line Plant Floor Teststation

    Sampling from process

    Manual to Semi-Automated Operation

    Alarming capability

    Data local file to QIS

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    Data Collection Modes

    Off-Line

    Laboratory

    Sample process to final product Manual to Semi-Automated operation

    Process feedback ,finished goods CofA

    Data local file to LIMS

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    Data Collection Success

    Workflow

    Non-intrusive

    SOP Data Handling Integrity

    Standards Conformance

    Data Integration with Enterprise Systems

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    Data Collection Success

    Cawleys First Law

    Whats Easy Gets Done

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    Real-time Enterprise

    Process Management

    Reduced Data

    Collection Overhead Data Management &

    Accessibility

    Continuous Process

    Improvement (CPI)

    Improve ROI &Profitability

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    Real-time SPC

    APC - SPC

    Productive Use of

    SCADA Data CPI

    Feed Enterprise-wide Process

    Management

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    HMI

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    SPC & APCPhilosophy Minimize variability by detecting &

    removing process upsetsMinimize variability by adjusting processto counteract process upsets

    Application Expect process stability Expect continuous process drift

    Deployment

    1. Level2. Target3. Function4. Cost - deployment5. Cost - action6. Focus

    StrategicQuality CharacteristicsDetect DisturbancesSmallLargePeople & Methods

    TacticalProcess parametersMonitor setpointsLargeSmallEquipment

    Results Process improvement Process optimization

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    At-line Data Collection

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    Workstation vs SCADA Roles

    Testing Samples

    Chemical/Physical Properties ofGrab Sample

    Fill Weight / Portion Control

    Technician Interface

    Workflow Control SOPEnforcement

    Alarming

    Plant Floor Data Collection

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    Steps to Consider:

    Test Station Data Collection

    Define the target process

    Understand data collectionrequirements

    Hardware/networking requirements

    Decide on features to use Design interface, Configure Devices

    Test and install

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    Define the target process

    Follow process control and improvement techniques

    to determine your target process for improvement

    Determine the scope of the project

    Define the boundaries i.e., Line 14, retail pack only

    Understand your objective i.e. Reduce product giveaway by 20% through net weight

    SPC methods for retail products produced on line 14

    Select key measurement(s)

    What are the variables that need to be controlled to achieveyour objective? Net weight, temperature, line speed, etc.

    State your objective.

    i.e. Reduce product giveaway by 20% through net weight

    SPC methods

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    Understand data collection requirements

    What measurements are required? Key measurements that measure the process: Weight,

    temperature, line speed, etc.

    Which descriptive variables are needed?

    Date, time, shift, line, machine ID, operator, product ID,etc.

    Adequate descriptive variables are necessary forproper analysis of the data

    How will data be collected?

    Keyboard, serial device, barcode

    What is the sample plan?

    Sample size and frequency

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    Plant Floor Data Collection

    Improve Plant Floor Data Collection

    Reduce Workflow Interruption

    Link At-line Testing with Enterprise Enable CPI Programs

    Operational & Economic Gains

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    Pr

    ocess

    SupplyChain

    QualityManager

    Production

    VPOperations

    PlantManagerAnalytics

    HMISCADA

    MES

    LIMS

    QIS

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    Enterprise Process Quality

    CPI

    Within Enterprise Reporting

    Multi-Location, Complex Organizations

    Benchmarking Best Practices

    Supply Chain Quality Reporting

    Contractually Required Deliverables

    Vender Certification

    Bid Requirement

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    Northwest Analytical, Inc.

    111 SW 5th Ave., Suite 800

    Portland, OR 97204

    USA

    1-503-224-7727www.nwasoft.com

    [email protected]

    Booth #2274