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CMMS – EAM
Enterpise asset management (EAM) solutions support maintenance management tasks. Asset management systems typically enable planning, controlling, and monitoring of physical asset events. ...
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Documents related to » maintenance data systems analysis cmms


Reliability Driven Maintenance--Closing the CMMS
Reliability driven maintenance (RDM) focuses on understanding the

maintenance data systems analysis cmms  from on-line sources, predictive maintenance technologies, RCM findings and visual (or other sensory) inspections collected from operator rounds or routine inspections. It analyzes the data and presents the results visually in many forms, making the data fairly easy to understand—and easy for maintenance personnel to use, such as trending graphs and flashing alarms. Ivara EXP then triggers the appropriate maintenance work in the user company''s CMMS modules, while key performance indicators (KPI) Read More...
Computerized Maintenance Management Systems: A Tutorial Part Two: Benefits and Interfaces
A CMMS is an excellent business opportunity whose implementation can significantly improve operations, reduce equipment downtime, increase accountability of the

maintenance data systems analysis cmms  scheduled or unscheduled preventive maintenance or repair. Assuming the CMMS database is accurate and current, the CMMS generated work order should reduce the amount of data entry needed to capture information. Using the theory of negative confirmation, similar in principle to a picklist confirmation, only the exceptions to the work order need be entered. This would include additional parts consumed but not scheduled; parts scheduled but not consumed; and hours worked in addition to or less than estimated Read More...
Continuous Improvement Offers CMMS Maintenance Benefits
Computer maintenance management system (CMMS) packages are excellent tools for collecting, analyzing, and reporting data and can offer insight into a process

maintenance data systems analysis cmms  work is requested. Is maintenance operations satisfied by the average response time? Is there a disproportionate percent of rush orders, especially from a few individuals? Do you get multiple requests for the same problem? The CMMS can be used to gather data to determine if there''s a process problem. Secondly, it can provide some clues as to what needs to be done to solve each problem. Critical success factors Focusing on process improvement through the use of your CMMS requires the following: op Read More...
Use a Computerized Maintenance Management System to Improve Predictive Maintenance Performance
Companies that have moved from a highly reactive environment to a more planned one notice significant improvement. A computer maintenance management or

maintenance data systems analysis cmms  What''s the most cost-effective maintenance program required (such as reactive, PM, or PdM)? A few of the more sophisticated CMMS packages will assist in determining and documenting some or all of the answers to these questions. Examples of the type of data collected and analyzed include the following: operating context for the asset being analyzed (e.g., a water cooling system maintains water between forty to forty-five degrees Fahrenheit twenty-four hours a day, seven days a week) functions of the asset Read More...
Computerized Maintenance Management Systems: A Tutorial Part One: Challenges and Features
Companies are looking for more areas to squeeze savings out of operations. One such area that may be fertile ground to explore is equipment maintenance. The

maintenance data systems analysis cmms  is to ensure that maintenance activities can be performed as scheduled. So far you have read that an effective CMMS should track unscheduled maintenance, preventive maintenance, equipment state information, resources, and materials. Through this automated data collection mechanism, we are creating a equipment history database that will form the basis for performance analysis. A CMMS should provide the tools to perform this analysis and be able to answer the question, How has our maintenance organization Read More...
Giant Systems
Located in Jamestown, New York (US), Giant is a small software company that has been in business for over sixteen years. They provide accounting enterprise

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Hertzler Systems
Hertzler Systems provides seamless, accurate data acquisition solutions for your business enterprise. We have been in this business for over 20 years. We have a

maintenance data systems analysis cmms  Systems Hertzler Systems provides seamless, accurate data acquisition solutions for your business enterprise. We have been in this business for over 20 years. We have a large and diverse customer base in service, transactional and manufacturing environments, including Consolidated Biscuit Company, Kraft Foods, McCormick & Company, Hormel Foods and many others. Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

maintenance data systems analysis cmms  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...
Waer Systems Limited
For over ten years, Waer Systems has been an international provider of replenishment management systems (RMS) and supply chain management (SCM). Its

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Enhanced Systems & Services
Founded in 1983, Denver, Colorado (US)-based Enhanced Systems & Services, Inc. develops, markets and supports Finesse ERP software, an integrated suite of

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Solace Systems Inc.
Solace Systems provides messaging middleware solutions that let companies efficiently distribute data to desktop, enterprise and mobile applications with higher

maintenance data systems analysis cmms  Systems Inc. Solace Systems provides messaging middleware solutions that let companies efficiently distribute data to desktop, enterprise and mobile applications with higher performance and at lower cost than alternatives. The foundation of Solace’s solution is a turnkey appliance that’s available in two sizes to meet the needs of a wide range of businesses. Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

maintenance data systems analysis cmms  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More...
Consona/Relevant Business Systems
Relevant Business Systems is a leading provider of enterprise resource planning (ERP) software to the aerospace and defense, engineer-to-order (ETO), contract

maintenance data systems analysis cmms  engineer-to-order (ETO), contract manufacturing, maintenance repair and overhaul (MRO), and project-oriented manufacturing markets. The software has a work breakdown structure (WBS), and earned value, multi-plant and multi-currency capabilities. Relevant was founded in 1983 and is headquartered in San Ramon, California (US). Read More...
How the Right Mix of Static Analysis and Dynamic Analysis Technologies Can Strengthen Application Security
In searching for tools to implement an effective application-security strategy, managers have a choice between two technological approaches: dynamic analysis

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