Two LRCM purposes

One of LRCM’s purposes is to guarantee high quality information from the CMMS with which to perform Reliability Analysis (RA). Systematic improvement of maintenance performance comes mainly from RA. RA analyzes and models the factors influencing failure in order to develop decision policies. RA also measures the performance of those maintenance decision policies, so that they can be improved on a continuous cycle.

The lack of adequate information in the CMMS has impeded RA and decision modeling since its inception in the late 1970s because the CMMS developers did not address the vital issue of quality information for RA. Instead they assumed that hastily conceived failure codes would  be adequate for subsequent Reliability Analysis. Most managers and engineers admit that failure codes never worked and blame the poor information in the CMMS for their inability to advance maintenance strategy. The codes were either too general or too specific and did not provide technicians with an accurate way of representing the “as found” state of the equipment. Technicians often used the default code “other” when completing their work order form. They became frustrated and as a result did not consider the drop down lists of codes as a serious method to record historical failure mode data.

RCM is the simplest way to describe a maintenance event accurately. That is because RCM describes the failure mode as precisely as needed. The RCM description includes the context as defined by function, failure, effects, and consequences associated with the failure mode.

By using the LRCM user interface (shown below) when closing work orders, the technician can for the first time translate his observations exactly and conveniently into the CMMS. All CMMS codes are mapped transparently to the RCM hierarchy.

The second important purpose of LRCM is the dynamic update of the organization’s RCM knowledge. This is done directly from the LRCM UI by hitting “Update RCM”. The user is then provided with a second screen which allows him to edit or propose new RCM knowledge. The software manages quality control, authorization, and tracking of all changes in RCM. The state of knowledge at any previous time can be displayed, which can be important for the investigation of HSE incidents.

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EXAKT’s Three Modules

EXAKT is a set of software modules for accomplishing physical asset reliability from maintenance related data that is commonly available in an industrial organization. There are three EXAKT modules. They are listed in the following paragraphs:

  1. EXAKT for Modeling. This is a Reliability Analysis tool that extends Weibull analysis to include Condition Monitoring and Process data. EXAKT for Modeling produces and tests Optimal Decision Models,. Decision Models (DMs) are rules for  conducting a maintenance action based on an item’s current age and its condition as they are reflected in available databases. Optimal DMs generate decisions that are tuned to deliver the organizational objectives of high equipment availability at low cost and risk. The input to the software includes data from:
    1. The CMMS (for example, SAP, Maximo, Ellipse, or any work order database), and
    2. Condition monitoring and process monitoring systems and activities. These may include real time databases or historians, vibration sensors and data collectors, oil analysis results databases, and physical observations.The data requirements for EXAKT and its output are illustrated in the following diagram. 
  1. EXAKT for Decisions. Once a decision model for a given equipment and its failure modes has been developed in the EXAKT for Modeling module the model will then be deployed as an automated intelligent agent by launching the EXAKT for Decisions module. This software module initiates a background process on the network that monitors designated databases containing the relevant data. The most recent entries in each relevant database are processed by the software which then produces a Remaining Useful Life Estimation (RULE), confidence limits, and a recommended action based on failure probability and the business factors included in the model. The following image illustrates the output from EXAKT for Decisions. The first diagram provides an optimal recommendation, either to intervene immediately (red), plan to intervene in a stated time period (yellow), or continue operation (green). The second diagram indicates the Remaining Useful Life (RUL) and the confidence interval, expressed here as a standard deviation. The results are reported in the CMMS. 
  2. EXAKT Living RCM (LRCM) User Interface (UI) and Process module. In order to achieve effective Reliability Analysis (RA) using powerful software such as EXAKT, the maintenance organization must ensure that accurate data is contained in the work order history. This is accomplished using the LRCM User Interface to the CMMS. When technicians and other maintenance personnel close work orders using the LRCM UI, the resulting maintenance historical records will contain data of the high quality required for RA. An example of the the LRCM UI is shown in the following image. By using the LRCM UI and its related procedures, the RULE and recommendations from EXAKT for Decisions will perform optimally in guiding day-to-day maintenance decisions. The software will empower the maintenance department engineers to maximize, in a verifiable way, the asset’s profitability as it relates to their maintenance strategy and activities. 
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The winning paper at the XIV International Congress of Maintenance

On 18, 19 and 20 April the XIV International Congress of Maintenance 2012 was held in Bogotá, Colombia in April. Organized by ACIEM (www.aciem.org) experts in different areas of maintenance delivered ​​presentations to the attendees. They emphasized sound practices,  the management of maintainability, and the assessment of operational risk.

Among the experts participating in the congress was  reliability specialist, Gerardo Vargas, who presented an account of a recent project at Cerrejon Coal  entitled “Living Reliability Centered Maintenance”.

Living Reliability Centered Maintenance or LRCM is the  process

The RCM Hierarchy booklet assists bulletproof work order information accuracy

that optimizes equipment reliability by exploiting available  maintenance related data in a new and fundamental way. A unique feature of LRCM integrates the initial RCM analysis with daily work order activities. Surprisingly, the natural relationship between the Work Order system and the knowledge developed through RCM analysis has, up to now, been overlooked by maintenance departments and the entire maintenance technology industry.

The evaluation committee selected the LRCM submission, from among the papers submitted, as the winner of the ACIEM Award in Maintenance Engineering sponsored by Shell Lubricants. LivingReliability congratulates Cerrejón and Gerardo Vargas for their excellence in pioneering the LRCM process at the mine site.

XIV Congress of the International Maintenance  Conference & Exposition, source: www.aciem.org

The original paper and presentation, in Spanish, can be downloaded here:

 

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Waiting for CMMS maturity

One maintenance manager puts it this way:

“Our CMMS system and our Techs using it have not achieved the level of maturity for it to be a valuable tool. The Techs input insufficient levels of detail into our CMMS. Thus, needed data for Reliability Analysis (RA) would be inaccurate or lacking completely. As such, time would be wasted trying to perform useful RA. When we are able to get our CMMS to a level where your software will add value we will contact you.”

The perception that current CMMS procedures are “not mature enough” is a familiar one in maintenance departments. No matter how advanced our CMMS technology and related procedures grow, the right information in the right form for practical analysis eludes us. The solution seems always beyond the next bend in the road –  the next project may finally solve the problem.

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LRCM Justification Template

Justifying an aggressive project in maintenance is always a challenge. The difficulty lies in the unclear relationship between maintenance activities and their quantifiable effectiveness with regard to organizational performance. The LRCM / EXAKT system provides the means to establish such a mathematical relationship. However, until such a system is in place we need to use softer techniques for estimating Return on Investment (ROI) of a proposed project. The following spreadsheet can be used as  a template for  a estimating the ROI of a proposed LRCM / EXAKT project. Please customize the spreadsheet by entering values and factors that are reasonable in the context of your operational and maintenance facility.
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