What Is Newton?
Newton is the most powerful reliability simulator and decision-making tool in the world. Newton connects every facet of reliability and intelligently models how every data point, every task, and every potential change impacts future performance. In doing so, Newton enables users to focus on how to best allocate limited resources to yield the greatest return on reliability investment, reaching the ideal balance across conflicting metrics of availability, risk, and cost.
Newton is also the only software application which can be used to conduct a Quantitative Reliability Optimization (QRO) analysis.
Newton solves the following major market problems, which ultimately costs many of our customer $100M+ annually in lost production or wasted inspection, maintenance, and turnaround spend.
- Reliability is siloed, requiring multiple disparate methodologies, work processes, systems and data resulting in difficulty identifying and resolving the key drivers of performance, multiple sources of truth, potentially overlapping efforts, inconsistent and sub-optimal decisions, and wasted system spend.
- Newton solves this problem by enabling users to manage all assets in a single platform, with the same look and feel, the same methodology, and connecting asset performance and how each affect reliability performance.
- Over-conservative, qualitative approaches are used for data analysis and decision making, resulting in wasted resources in inspection, maintenance, and turnarounds
- Newton solves this problem by more precisely quantifying when asset failure is likely based on the variability in data behavior, recommending when to take specific action, and quantifies the associated value.
- Over-emphasis on managing individual assets and thousands of tasks under the constraint of limited resources, rather than optimally deploying resources to optimize long term return-on-investment
- Newton solves this problem by connecting all facets of reliability, including assets, data, and tasks to project reliability performance. Newton enables users to simulate changes to their current plan to improve performance and maximize their return on reliability investment.
Newton has the following major features today:
- Asset Register & Database: Enables users to store and organize their assets and asset data
- Users can manage their asset’s hierarchy, which is aligned with ISO 14224
- Users can store asset attributes, stream data, historical tasks, planned tasks, inspection history, and monitoring data
- Users can plan unit downtime, visualizing when the unit will be unavailable which is also used by the Task Optimization tool for determining the optimal reliability plan.
- Users can mass import data
- Users can mass export data
- Users can mass update data by performing a mass export, making changes, and then performing a mass import.
- Users can dump the raw data from all charts to excel for their own analysis.
- Users can quickly save an image of all charts for easy reporting.
- Facility and Unit Dashboards: Enables users to view critical performance metrics and easily identify the drivers of performance as well as manage their assets
- Users can view their facility’s & unit’s reliability performance including key metrics such as availability, cost, and risk as well as the specific units and assets driving each metric.
- Users can view, forecast, and manage their execution plans.
- Users can create their own custom dashboards and share these with other users at their facility.
- System Model: Enables users to develop both facility level and unit level system models that leverage individual Asset Risk Analyses to calculate projected system availability
- Users can create system models of their facility, connecting specific units and assets to model how each asset affects facility availability by configuring traditional reliability modeling relationships.
- Asset Risk Analysis: Enables user to conduct an assessment of how assets could fail and leverage quantitative data to calculate the asset’s availability, risk, and probability of failure
- Users can conduct an assessment of asset components, functions, failure modes, failure mechanisms, and link available asset data which can then be used to detect or predict failure
- Users can develop asset strategies and link them to failure modes and failure mechanisms, ensuring an effective asset strategy is in place
- Users can view key results such as availability, downtime, risk by category, probability of failure, and lifetime variability of key data parameters that detect/predict failure. These are visualized over time to help users better understand when failure may occur as well as the nature of the failure profile as well as the impact of the tasks they can perform on their assets
- Users can select from multiple probability of failure models including Quantitative Reliability Optimization (QRO) and API 581. These models can be run on the same asset(s) and compared in separate windows.
- Additional models can be added with supplemental software development and then selected in the user interface.
- Newton calculates expected degradation rates based on asset attributes, improving accuracy and saving time. This is also useful when users need to evaluate how changes in the process may affect degradation
- Users can view a ranked list of all CMLs based on those with the least remaining life,
- Users can copy data between assessments within the same facility, saving time during the implementation phase.
- Users can view the status of their assessments including those that have had assessments completed and those with errors which require action, focusing efforts during the implementation phase. This can be viewed for the facility as well as individual units.
- Scenario Manager: Enables users to develop a “scenario”, effectively creating a replica of the existing facility where any change can be simulated and the effect determined
- Users can take a snapshot of their current facility and make a copy, or scenario. In this scenario, the user may make any set of changes such as planned tasks, process conditions, availability of spare parts, field upgrades, or system configuration and re-calculate results. The results of each scenario can be compared to the current baseline facility or other scenarios, and quickly visualize the impact on key reliability performance metrics.
Additional Functionality Via External Tools
Additional functionality is available through use of the following external tools, which are complementary to Newton’s feature set. In the future, this functionality will be made available within Newton.
- Critical Value Calculator (Thickness)
- Calculates the critical value, or failure point, for assets in which thickness is a critical parameter. Results can be imported into Newton.
- Quantitative Inspection Effectiveness
- Assesses prior inspections to determine a quantitative confidence level associated with the inspection and the capability of effectively characterizing the damage state. Incorporates prior inspection history, probability of detection, population size, and sample size.
- Condition Monitoring Optimization
- Recommends specific CMLs to monitor for a given inspection based on the value addition of each data point collected by achieving a certain confidence level that the damage state of the asset will be characterized quantitatively. Recommends a unique set of CMLs for each inspection based on all available data and the uncertainty associated with each CML over time.
- Task Optimization
- Recommends specific data collection and maintenance tasks to be performed on specific dates to deliver desired reliability performance, balancing conflicting metrics of facility availability, cost, and HSE risk. The result is the statistically optimal reliability plan, which can be updated as new information is available. The results can be imported into Newton.
- Resource Leveling and Schedule Optimization
- Assigns specific tasks to named resources (personnel) based on task deadlines, resources requirements per job, resource skillsets, and resource availability resulting in an optimized execution schedule. Calculates and visualizes specific task assignments as well as resource utilization. Results can be imported into Newton.
- Weibull Parameter Calculator
- Calculates 3-parameter Weibull distribution parameters based on failure history, including if failures are censored, both left & right. Results can be imported into Newton.
- Sensor Recommendation
- Recommends if an asset should be sensored on the basis of the required confidence level in understanding the state of the asset, evaluating the economics of the discrete monitoring vs. sensoring.