Patents Assigned to Near-Miss Management, LLC
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Publication number: 20240085878Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: November 21, 2023Publication date: March 14, 2024Applicant: Near-Miss Management LLCInventors: Andrew Schneider, Ankur Pariyani, Ulku G. Oktem, Daniel Shumway, Brett Emaus
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Patent number: 11853053Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: January 24, 2022Date of Patent: December 26, 2023Assignee: Near-Miss Management LLCInventors: Ankur Pariyani, Matthew Dering, Ulku G. Oktem, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Publication number: 20220214679Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: January 24, 2022Publication date: July 7, 2022Applicant: Near-Miss Management LLCInventors: Ankur Pariyani, Matt Dering, Ulku G. Oktem, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Patent number: 11250366Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: June 8, 2020Date of Patent: February 15, 2022Assignee: Near-Miss Management LLCInventors: Matthew L. Dering, Ankur Pariyani, Ulku G. Oktem, Daniel Shumway, Brett Emaus, Steven DeLaurentis
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Publication number: 20200302354Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: June 8, 2020Publication date: September 24, 2020Applicant: Near-Miss Management LLCInventors: Matthew L. Dering, Ankur Pariyani, Ulku G. Oktem, Daniel Shumway, Brett Emaus, Steven Delaurentis
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Patent number: 10705516Abstract: A dynamic risk fault tree (DRFT) for displaying and analyzing risk levels for manufacturing operations. The DRFT incorporates a Dynamic Risk Analyzer (DRA) to periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRFT assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The DRA and hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: March 18, 2019Date of Patent: July 7, 2020Assignee: Near-Miss Management LLCInventors: Ulku G. Oktem, Ankur Pariyani, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Publication number: 20190235483Abstract: A dynamic risk fault tree (DRFT) for displaying and analyzing risk levels for manufacturing operations. The DRFT incorporates a Dynamic Risk Analyzer (DRA) to periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRFT assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The DRA and hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: March 18, 2019Publication date: August 1, 2019Applicant: Near-Miss Management LLCInventors: Ulku G. Oktem, Ankur Pariyani, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Patent number: 10268962Abstract: The dynamic risk analyzer (DRA) provided by the present invention periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: February 1, 2016Date of Patent: April 23, 2019Assignee: Near-Miss Management LLCInventors: Ankur Pariyani, Dmitriy Bespalov, Ulku G. Oktem, Luis Cielak
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Patent number: 9495863Abstract: Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.Type: GrantFiled: October 10, 2014Date of Patent: November 15, 2016Assignee: Near-Miss Management, LLCInventors: Ankur Pariyani, Ulku G. Oktem
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Publication number: 20150061860Abstract: Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.Type: ApplicationFiled: October 10, 2014Publication date: March 5, 2015Applicant: NEAR-MISS MANAGEMENT, LLCInventors: Ankur PARIYANI, Ulku G. OKTEM
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Patent number: 8884759Abstract: Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.Type: GrantFiled: September 11, 2012Date of Patent: November 11, 2014Assignee: Near-Miss Management, LLCInventors: Ulku G. Oktem, Ankur Pariyani