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Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted EAM knowledge bases, allows organizations to save time and money, achieving better and more reliable/fully-documented decisions, a quantum improvement over the widely-used subjective process of selecting complex enterprise software...
Abstract: Data
mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data
mining and predictive analysis. Learn more.
PubDate: 9/22/2009 4:27:00 PM
Abstract: This article looks at where computerized maintenance management systems (CMMS) end and enterprise asset management (EAM) takes over, focusing on features and functionality of EAM software. It also compares CMMS and EAM software and explores the two key differentiators.
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Abstract: As you look for ways to get the most out of your existing operating assets, enterprise asset management (EAM) and computerized maintenance management system (CMMS) solutions are key. However, when it comes to researching, selecting, and implementing the right EAM/CMMS software, you need to avoid several mistakes. Discover 10 common errors you should avoid if you’re looking for a new or replacement EAM or CMMS solution.
Abstract: Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.
Abstract: It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.
Abstract: Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.
Abstract: Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.
Abstract: Using our EAM Evaluation Center, we compared Mincom Ellipse, CHAMPS, and IFS head-on. For the overall rankings, we looked at the vendors in two basic configurations: with back-office (HR and financials) functionality, for a total of eight main modules, and without, for a total of six main modules. To eliminate any chance of bias, and to ensure a level playing field, all 3,146 criteria comprising the modules and submodules in the EAM request for information (RFI) were given equal weight and priority.
Abstract: As companies continue to look for more areas from which to squeeze out revenues and reduce expenses, enterprise asset management (EAM) and computerized maintenance management systems (CMMS) software continue to receive good press as the systems providing an answer--and with justification. But what software makes the most sense for your company and from which providers--EAM/CMMS best-of-breed incumbents or enterprise resource planning (ERP)
Abstract: At Mohawk Fine Papers, a new Web-based enterprise asset management (EAM) system replaced a maintenance management system (MMS) to provide efficiencies for paper-making and converting equipment. Since implementing the new EAM, Mohawk has standardized its maintenance processes, streamlined work order flow, automated business rules, and achieved more detailed tracking of assets. Learn more about the EAM software’s modules.
Abstract: Mine evaluation studies, including those that support mine water management or environmental compliance, are rife with challenges. The biggest: to quantitatively evaluate alternative approaches for completing projects, and to identify and manage associated risks. Models must be accurate, and yet still take uncertainty into account. Learn how a simulation tool can you help forecast the behavior of complex mining systems.
Abstract: Physical asset management contributes greatly to the achievement of competitive advantages in capital intensive companies. Particularly in the areas of productivity, quality, cost effectiveness, and risk management. If your company has a need to manage physical assets it can benefit from a proven Total EAM solution provided by one of the top-level systems vendors.
Abstract: The primary benefit of enterprise asset management (EAM) is the reliability-centered maintenance. Let’s face it: any process that can help you improve what you are doing now and enables you to do it better in the future is the best thing since
Abstract: In most cases, companies will acquire enterprise asset management (EAM) software but the interfaces to external systems will have to be constructed.
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Abstract: Creating an efficient centralized maintenance and operations program is made easier if you start with the right planning. This article addresses a tactical view to making your CMMS and EAM implementation work the first time.
Abstract: Regardless of size or purpose, business processes within a company rely heavily on the dependability of assets for successful operations. Enterprise asset management (EAM) solutions can help companies monitor their assets, including a feature that allows documents to be attached to a work order. But printing the work order and its attachments is not always so simple. Learn how automated work order software can help.
Abstract: The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary to explore how asset data can be used to further the aims of maintenance.