Machine Ledger

TABLE of contents
    What is the Machine Ledger?

    The Machine Ledger is used in World Class Manufacturing to better understand machines, sections, assemblies, and components so that maintenance teams can more effectively predict failures and plan preventive maintenance activities.

    The Machine Ledger is a powerful graphical visualization that allows maintenance teams to understand at a glance:

    • When maintenance was planned
    • When planned maintenance was executed
    • Which and how many components failed an inspection
    • When unplanned maintenance was executed
    • When breakdown maintenance was executed

    The Machine Ledger provides insights that help maintenance teams optimize preventive maintenance scheduling and understand the impact each component has on product non-conformance (abnormalities) and breakdowns.

    This helps maintenance teams better predict and prevent breakdowns, reduce maintenance costs and increase OEE (Overall Equipment Effectiveness) for the plant.

    How does the Machine Ledger work?

    Understand instantly when maintenance is scheduled, executed, what failed, and when breakdowns occurred - by line, machine and part. Empower operators and technicians to effortlessly capture rich, meaningful data that automatically initiates work orders and updates insight-driven reporting dashboards.

     

    What are the benefits of the Machine Ledger?

    The Machine Ledger allows maintenance teams to understand maintenance/breakdown trends and patterns at the section, assembly and component level of your machines so they can better predict failures and plan preventive actions.

    Machine Ledgers can be used to answer the following questions:

    • What are the root causes for a breakdown?
    • What components, assemblies, sections and machines require the most maintenance?
    • What is our PM completion rate?
    • When are the BD happening? Before/after PM, how close to the next PM?
    • How much extra unplanned maintenance was required and why?
    • Can we increase the frequency of PM and reduce the costs associated to breakdowns?
    • What is the MTTR (Mean Time to Repair) for each component and how do they compare to each other?

    By answering these questions, maintenance teams can optimize preventive and autonomous maintenance schedules to maximize up-time and eliminate breakdowns. The ultimate goal is to reduce maintenance costs and increase the plants OEE.

    Another core, and sometimes overlooked, benefit is that in order to set up the Machine Ledger, maintenance teams are required to “de-compose” machines into their assemblies and components. This includes adding part information, PM type and frequency and classifications (A, B or C).

    This activity improves the skills of technicians and provides teams with a superior understanding of the relationship between components and assemblies.

    If you would like to learn more about how the Machine Ledger works, feel free to schedule a live demo with our Business Solutions Team.

    Do you have a question?

    Ultimate Guide to Success with Autonomous Maintenance

    Everything you need to know about how Autonomous Maintenance works and the best practices gleaned from our 10+ years of experience helping organizations achieve success.

    Everything you need to know about how Autonomous Maintenance works and the best practices gleaned from our 10+ years of experience helping organizations achieve success.

    Machine Ledger

    Weever is used by organizations worldwide to manage TPM  programs.

    • Customizable Form Templates.
    • Easy to use and accessible data capture tool.
    • Build and manage schedules.
    • Guide staff through the process with on-demand instruction.
    • Automate work orders and real-time reporting dashboards.
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    Learn about the Platform.

    Download the brochure to get all the details about how Weever works.

    • Functionality Details
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    In just 30 minutes you will learn about customizing and using forms, workflow automation, reviewing reports, and sharing data with other business systems.