Documents » product lifecycle management implementation for mining and quarrying.
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: 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: Product Lifecycle Management (PLM) addresses the full lifecycle of a product. The focus of most of the current PLM solutions, however, does not make the most of the value available from servicing products after they have been sold. Service Lifecycle Management (SLM) promises valuable business benefits after a product has been shipped to the customer, tapping into the value of the product aftermarket.
Abstract: Software implementation can be complex. Even when it seems all your business processes and systems are “go” after the implementation of an enterprise resource planning (ERP) solution, there might still be room for improvement. Find out how a post-implementation system assessment of technical and functional systems can improve data capture accuracy, increase user buy-in, and boost your return on investment (ROI).
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: It’s crucial to define the scope of an electronic medical system implementation, as well as to outline each stage of the project and the resources that will be needed. A failed implementation will paralyze the operational capabilities of a health care organization, but the right methodology will help ensure a successful implementation.
Abstract: Computerized maintenance management system (CMMS). Enterprise asset management (EAM) system. Computer-aided facilities management (CAFM) system. Integrated workplace management system (IWMS). Each type of facility management solution offers different functionalities and features, and one may be better than another for your company’s needs. Learn more about the differences and how an integrated solution is a “must have.”
Abstract: A new trend is emerging in the world of storage management, and it’s called information lifecycle management (ILM). Just what it is, however, varies significantly from vendor to vendor. Generally, ILM is a strategy for policy-based information management. Its mandate: to provide centralized management of all information assets, aligning storage resources with the value of the data residing in them.
Abstract: Because of the risks inherent in any financial implementation, it’s essential to get back to business basics. These implementations need to be understood and planned for. Thus, there are a few premises that must be addressed in the planning stages of a financials implementation. If these premises are followed in a disciplined manner, the nosebleed of implementation can be avoided.
Abstract: The Microsoft Dynamics NAV Rapid Implementation Methodology (RIM) automates standard processes, speeds up implementation time, and drives the sharing of best practice knowledge and solutions between partners. But in order to understand how RIM can be used in an implementation project to get implementations up and running smoothly and quickly, it is important to understand the different components of RIM.
Abstract: White papers offer no shortage of advice about what best practices can lead to enterprise resource planning (ERP) implementation success. But equally important is a thorough understanding of what practices are to be avoided during an implementation. This white paper reviews four “worst practices” that should be avoided at all costs—unless you want to go out of your way to cause your ERP implementation to fail.
Abstract: It’s a sad but well-known fact that many software implementation projects run out of time and money. Certain crucial activities tend to have striking effects on the cost of an implementation. But it’s possible to stick to plans and budgets, provided that you do the right things and avoid the traps. Discover which parts of a software implementation are worth spending extra money on in order to minimize risk and cost.
Abstract: Are you preparing to oversee an enterprise resource planning (ERP) implementation project? Are you worried about the statistics that report less-than-successful ERP implementations? While there are many reasons a given implementation project may be less than perfect, there are a few steps you and your ERP implementation team can take to increase your chances of success. Learn about the five steps to a positive outcome.
Abstract: Since our research-driven beginnings, Johnson & Johnson Advanced Sterilization Products (ASP) has continually improved the new product development (NPD) process. Detailed process mapping has revealed three tiers of business metrics, starting with drivers and moving up through execution metrics to business performance metrics. When driver metrics improves, so does business performance. Six Sigma tools helps identify specific metrics at all tiers and the causality linkages among them. Each NPD process step at ASP results in a deliverable, and each deliverable relates to a trade-off triangle (cost-time-resources) and, ultimately, to investment dollars. To track performance, ASP calculates how actual NPD decisions and what-if scenarios affect deliverables, alter investment triangles, and thereby influence business results. ASP uses similar process and tools, including the investment triangles and Six Sigma QFD, to make idea management decisions. The IDweb real-time software environment enables both the NPD and idea management processes at ASP. By deploying the strategic planning, idea management, portfolio and pipeline management, process management, and resource management modules of IDweb, ASP has increased throughput by 20 percent and reduced cycle time by 40 percent.
Abstract: In future, companies will be releasing products practically every other day, due to fierce global competition, and the significance of product lifecycle management (PLM) implementation will increase. However, it is possible to provide some guidelines for a rigorous PLM implementation.
Abstract: Product lifecycle management (PLM) implementation brings its own set of challenges, whether considering vendor selection, employee perception management, or actual implementation. However, based on experience and study, it is possible to describe the best practices for overcoming these challenges.