Documents » consultations on plm for surface mining.
Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted PLM 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: 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: The future of the PLM Suite will include more applications that cover product-related functionality and further expand the benefits available. As the PLM Suite matures, companies will benefit from increased functionality and increased integration between business processes. The ultimate expression of this more mature solution will result in a broad suite of focused, integrated applications that leverage a core of unified, structured product data - the PLM Platform.
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: Promising to transform the way products are developed, product lifecycle management (PLM) is one of the fastest-growing areas of technology investment for retailers and brands alike. But why should your company consider PLM? Find out why successful PLM implementations are initiated to support key strategic objectives, and how PLM can ultimately improve your profitability through enhanced operational efficiency.
Abstract: It may come as a surprise to you, but every organization that brings a product to market already has a product lifecycle management (PLM) system in place. And the choices as to which software tools or system an organization should employ in its initiatives should be entirely based on the review and assessment of its current PLM system.
Abstract: Product Lifecycle Management (PLM) solutions have to work with many other systems, not just ERP, so integration is not a new issue for PLM vendors. Most PLM vendors recognize the need for integration and have addressed the need in their toolkits. The additional work comes from integrating the concepts and semantics of one system to the next, if this business level integration has not already been provided between the two systems. This can be a big challenge for best of breed vendors, who may need to rely on systems integrators for much of this conceptual and semantic integration.
Abstract: There are two major genres of PLM solution: CAD-PLM and ERP-PLM. These two types have different integration capabilities, but the gap between them is shrinking thanks to various factors driving the market. Currently, however, the difference still matters in the solution selection process.
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: The
plm user landscape is changing
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Abstract: A Process PLM system must accommodate rapid, global deployment of the system. This need drives specific requirements to minimize both the start-up and the long-term cost of ownership of the system. This article, third in a series details those requirements.
Abstract: Companies that took an early adopter approach to PLM are beginning to show significant reductions in new product introduction lead times and to benefit from meaningful cost savings by executing a series of focused, high return projects
Abstract: Electronics manufacturing is one of the most complex manufacturing processes. Special software functionality is required to manage information throughout the supply chain, collaborate with subcontractors, and minimize development time. Learn about product lifecycle management (PLM) and product data management (PDM) solutions that provide the right data management functionality for electronics manufacturers.
Abstract: Because product lifecycle management (PLM) offers a host of benefits to manufacturers, it has become one of the fastest growing categories of enterprise applications. But a PLM system needs to work hand-in-hand with an enterprise resource planning system, so how can an organization integrate these two enterprise applications, which
Abstract: MAPICS hereby joins the raft of enterprise resource planning (ERP) vendors that are making their way into the product lifecycle management (PLM) market by bundling or partnering strategically to embed PLM functions within their suites.
Abstract: In PLM, there is no single vendor that can meet all of the requirements, and the market is still immature, so almost every product can be the right solution provided a certain set of requirements. In this part of the article we review 3 vendors who offer products to the PLM market - IDe, Thetis, and PDMware - as a demonstration that selecting the appropriate solution is highly dependant on the prioritized needs of the business.
Abstract: This article identifies the increasing requirements of system replacements in the product lifecycle management (PLM) area and recommends users rethink the implementation scope, system integration, acquisition method, and so on before strategizing their PLM migration plans.