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378 results found for "Operational"

  • Applying Lean 5S to Compliance

    Compliance is an essential aspect of any business, ensuring that organizations operate within the legal This can help ensure that compliance is integrated into the company's day-to-day operations and becomes

  • To Address Systemic Risk You Need Systems Thinking

    You could say that the focus of many business transformations over the years were attempt to address Operational Risk Management To properly address systemic risk an "integrative" or systems approach is This is the domain of Operational Risk Management (ORM) which when implemented effectively focuses on Effective operational risk management requires knowledge of systems. ORM will utilize tools such as Hazard and Operability Analysis (HAZOP), Dependancy Structure Analysis

  • A Little About Myself

    This requires a new approach that aligns more with operational excellence than it does audit and reporting I am currently authoring a book on the topic of, "Operational Compliance: Staying Between the Lines

  • How Is Your Compliance Managing the Shift?

    To manage this shift, compliance must be more than procedural, it must now become operational.

  • A Structured Approach to Continuous Improvement in Compliance Management Using Four Problem Types

    types: Type 1 (Troubleshooting), Type 2 (Gap from Standard), Type 3 (Target Condition), and Type 4 (Open-ended from Standard Focus: Restoring Compliance Type 2 problems occur when there’s a gap between current operations In compliance management, Toyota Kata can help you identify inefficiencies, such as over-complicated documentation or lengthy approval processes, and develop solutions to streamline operations . are open-ended and focus on innovation.

  • Your System Passed the Audit. Why Are Outcomes Not Improving?

    Operational planning and control is a system function. What Has Grown Since 2017 The 2017 model became the foundation for our Operational Compliance Model.

  • Where is the latest Standard Operating Procedure (SOP)?

    It has been over 30 years since the introduction of digital document and record management technologies

  • Manufacturers Integrity: A model for AI Regulation

    This includes being open about how and why these technologies are being used. Good and fair Data enhanced technologies should be designed and operated in a way throughout their life , scaling and human intervention as well as alternative processes in case a complete halt of system operations Accountable and responsible Organizations and individuals developing, deploying or operating AI systems should be meaningfully engaged throughout the system’s life cycle, to inform development and enhance operations

  • Does Compliance Need an Incident Management System?

    This has put a strain on existing operational systems and processes particularly those connected with In fact, as operating conditions have significantly changed they may no longer be effective at all. uncertainty in a COVID-19 pandemic world what should organizations now do so that they continue to operate evaluation of risk measure effectiveness is an essential practice for companies that strive towards operational audits and reports may not be fast enough to close the gaps in programs essential to keep organizations operating

  • Critical Defeats - Managing the Last Line of Defense

    industries to prevent and mitigate the occurrence of hazardous incidents and accidents during the operation protection of personnel, the environment, and assets while maintaining the efficiency and productivity of operations process for Critical Defeats is shown below: After the defeat is approved, it should be communicated to operators at gaps in the process and where waste exists such as waiting for approvals, incomplete information, over

  • Don’t Confuse Computer Programs with Compliance Programs

    qualitative difference to compliance outcomes you need a compliance program and preferably one that is operational

  • Business Intelligence: Are We Asking the Right Question?

    Artificial Intelligence has limitations because it operates primarily on explicit knowledge (data and

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