Documents » brian stevens mining engineer.
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: 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: In today's competitive engineer-to-order (ETO) manufacturing environment, procuring components on time and within budget is crucial. With rising fuel costs and increased international trade, supply chain management software can help ETO organizations get—and stay—ahead of the competition.
Abstract: Engineer-to-order (ETO) manufacturing needs a high level of integration between ERP and PLM systems. This article points out that ERP and PLM solutions are moving toward each other to achieve more organic data and process connectivity.
Abstract: The requirements of the engineer-to-order (ETO) environment create special challenges for capital equipment manufacturers. Traditional material requirements planning (MRP) techniques don’t account for these manufacturers’ needs. Before you invest in manufacturing software, you should carefully consider 10 questions to ensure that software vendors are focused on your business and can deliver the solution you need.
Abstract: Engineer-to-order (ETO) and project-based companies look to information technology (IT) to improve processes and gain a competitive edge. However, building complex products to exact customer specifications requires unique software. But what exactly are the software requirements of ETO and project-based manufacturers? Remember, the wrong software can cost about the same as the right software—until you try to use it!
Abstract: Maintaining a competitive advantage is paramount, no matter what business you operate within. Engineer-to-order (ETO) companies that produce complex products, usually in low volumes, and with project control techniques, are no exception. A lean enterprise involves the reduction or elimination of any activity that does not add value to a customer. In order to effectively utilize lean, lean concepts must be taken from the manufacturing floor and used thorough the ETO enterprise. This paper demonstrates how IFS applications supports the principles of developing a lean enterprise for ETO organizations. It demonstrates how process improvements apply equally to office-based functions, manufacturing, installation, and service activities.
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: Keeping track of your key business indicators is the difference between a thriving business concern and a business on life support. But even with this knowledge, one-third of chief executive officers (CEOs) feel they don’t spend enough time reviewing financial and operating numbers. But is spending more time agonizing over piles of data really the best solution?
Abstract: Software vendors and users often view advanced data visualization and dashboard capabilities as the “sizzle” that helps sell the product. This over-simplification misses the key point that ADV delivers the “steak” (i.e., the relevant information) users need to make accurate assessments that optimize business results. Discover how ADV and dashboards can help you keep your company focused on its core mission.
Abstract: Achieving operational excellence is fundamental for Yanacocha, the largest gold producer in South America. In 1999, Yanacocha decided it needed an online system linking its principal management areas (operations, maintenance, logistics, finance, and human resources), in order to optimize efficiency in administering its assets. It turned to Mincom Ellipse as its corporate management system, allowing standardization of its operations worldwide.
Abstract: Can you relate to the following software demo situation? Jennifer, the sales engineer, is at the keyboard. She’s on a roll. She’s been setting the stage to show how her price matrix capability will eliminate costly errors. This is all-important to the prospect. She has the audience’s full attention and is steadily moving them toward her objective. Suddenly Robert, the account executive, interrupts from the back of the room. “Jennifer, I think this would be a great time to show how the information you’re working with updates the data warehouse and is immediately available for sales analysis purposes.” Everybody shifts their attention from Jennifer and the all-important price matrix capability to Robert and the equally important data warehouse function. In an instant, the momentum Jennifer has been building dies.
Abstract: Companies that are project manufacturers, engineer-to-order (ETO), build-to-order, jobbing shops or contract manufacturers should think carefully when selecting an enterprise resource planning (ERP) system. Given the maturity of the ERP market, its ongoing consolidation, and that fact that competitive advantage is hard enough for manufacturers to find, they should not compromise on their requirements.
Abstract: ETO-oriented (engineer-to-order) systems must facilitate the near real time transfer of information and complex product knowledge for collaboration across the extended enterprise. It should especially be suited to organizations that seek to maintain complex selling relationships, such as businesses whose procurement and sales functions rely on subcontractors, channel partnerships or a distributed sales force.
Abstract: If Encompix has for any reason deliberately maintained its ETO-oriented (engineer-to-order) enterprise resource planning system as one of the best-kept secrets in the complex manufacturing mid-market, it has certainly succeeded so far. However, given a certain number of viable solutions from more renowned and visible (even if not that focused) vendors, the company will have to spread the word much more aggressively from now on.
Abstract: Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive business decisions and develop corporate strategy. For an organization, there are many benefits to implementing a BPM solution.