Documents » supply chain management program for underground mining.
Abstract: Today's usage of Decision Support Systems (DSS), combined with vetted SCM 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: To derive maximum value from your data, you need a strong data governance program that helps develop and manage data as a strategic business asset. The success of a data governance program thus hinges upon a robust data integration technology infrastructure. Developing the right technology infrastructure is critical to your ability to automate, manage, and scale your data governance program.
Abstract: The term program management office (PMO) has been around for some time. Its core concepts, methods, and benefits have remained constant, while resources and tools have changed somewhat over the years. But not understanding what a program office is and when it should be leveraged is a common pitfall and reason for failure. Find out more about the program office, and its roles, processes, and responsibilities.
Abstract: Program testing and debugging is one of the most critical aspects of implementing a computer system. Without programs which properly work, the system will never process information and produce the output for which it was designed. Testing procedures should be established and testing roles should be demarcated between the programmer and the analyst. Once this is done, test data that can test the limits of the program should then be created.
Abstract: Some companies need to secure multiple domains or host names for their Web sites. The Starter PKI program from thawte provides a system that enables the purchase and renewal of multiple secure socket layers (SSLs) and code signing certificates. Cut the red tape involved in adding domain names: find out how The Starter PKI Program works, as well as how to enroll, the costs involved, and how it can benefit you.
Abstract: Today’s Web applications exist in an environment vastly different from when businesses first entered the Internet. Few companies have a comprehensive Web application security program to prevent Internet-borne security breaches. Learn how security concerns for Web applications are different than for traditional applications, and how to build a Web security program that curbs costs and provides effective security.
Abstract: As apparel and textile companies move to outsourcing production—relinquishing direct control in favor of a more cost-effective manufacturing model—a lean supply chain may appear to be the next logical step for further implementing cost and operational improvement. Not so, however. You can’t have a lean supply chain without lean manufacturing. Regardless of whether you or your partners engage in production, lean manufacturing is the lean engine that drives lean supply chain efficiencies. Accordingly, the business requirement for stability in a constantly changing demand environment motivates the fashion industry’s search for lean supply chain management principles and practices. Intentia, in cooperation with industry experts, have written a series of thought leadership white papers on the concept of implementing lean supply chain in the fashion industry. The second of this series, From Lean Manufacturing to Lean Supply Chain explains how lean manufacturing relates to lean supply chain management and where it differs and sometimes conflicts.
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: “Last-mile supply chain services” is an evolving segment of the supply chain industry, but a cutting-edge segment that has evolved as supply chain managers across the US struggle to cope with the inadequacies of the current globalized supply chain model. Learn five reasons why current supply chain models are flawed and how you can use a new architecture to balance supply chain risk, globalized sourcing, and economics.
Abstract: Condition monitoring is a critical component of predictive maintenance. In this special report for the chemical processing industry, you’ll learn six steps to implementing a condition-based maintenance program; condition-monitoring techniques that can increase equipment uptime; how to protect your condition-monitoring program during the recession; and how to supplement your condition monitoring program to reduce downtime.
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: Counterfeit medicine is a major threat to the pharmaceutical industry. Seven percent of the medicine worldwide is counterfeit; however, advances in packaging and labeling technologies are coming to the industry’s aid. Pharmaceutical companies are using pilot projects to help labeling implementations throughout the supply chain to increase the availability of safe, licensed medicine and thwart the underground drug market.
Abstract: Your Challenge: Get Decision Makers' Approval For Flexible Solutions for Faster Value. Specific, Measurable, Achievable, Relevant and Time-Bound.
Abstract: November 2, 1999 05:30 PM BARNEVELD, Netherlands and HERNDON, Va., Nov. 2 /PRNewswire/ -- Baan Company N.V., a global provider of enterprise business solutions, today announced the release of two major new additions to its Supply Chain Solutions suite: Baan Supply Chain Solutions Planner 2.0 for factory planning, and Baan Supply Chain Solutions Order Promising 1.0 for order acceptance. The two solutions provide advanced supply chain and logistics capabilities that enable manufacturing professionals to increase throughput, reduce inventory, improve supply chain visibility, and improve response time and service levels to customers.
Abstract: Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.