Documents » cmms white papers for architectural modeling.
Abstract: Activity-based workflow
modeling (AWM) is a common and useful
modeling technique, whose fundamental drawbacks limit its effectiveness in
modeling complex, highly nuanced workflows. Contextual workflow
modeling, a technology invented at Macronetics, overcomes the limitations of AWM.
PubDate: 1/19/2006 3:17:00 PM
Abstract: If you're researching a software selection project, you need to take full advantage of the white papers available to you. Find out about the top 10 white paper buzzwords used today—and learn how to make solid sense of them.
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: All government projects must be run as efficiently as possible. Modeling and simulation tools can help maximize efficiency and predict the costs and risks associated with many government projects. Model-building templates, plus features that allow users to share and re-use models and create custom models, can help government successfully design and complete major environmental and infrastructural projects. Find out more.
Abstract: Bridging the gap between an application’s problem domain and its code can be difficult, even for the best software engineers. Bridging these two diverse worlds—each with its own language—requires a finished application that creates an intersection between the two. By building a domain-specific modeling (DSM) language and generator using MetaEdit+, engineers close the gap and pave the way to better productivity.
Abstract: Business process management notation (BPMN) is an initiative to increase standardization within process modeling. What are the principles of BPMN, and what is the value of BPMN to vendors and organizations using business process modeling?
Abstract: Three problems are common to most complex environmental modeling efforts: they’re uncertain, multifaceted, and hard to communicate. Overcoming these challenges is especially important when modeling the performance of proposed and existing radioactive waste management facilities. Graphical simulation tools can help represent uncertainties, integrate all aspects of the system, and ease the presentation of complex models.
Abstract: Over 80 percent of consultants in service organizations consider spreadsheet-based business plan modeling inadequate. Weak client–partner relationships reflect this inadequacy. An integrated business planning and modeling platform can provide deeper insight into a range of strategic and operational issues. Find out how this can result in enhanced decision making and optimized long-term client engagement and satisfaction.
Abstract: REALbasic is an object-oriented programming language for Mac OS X, Windows, and Linux computers. The Unified Modeling Language (UML) is the industry-standard notation for modeling object-oriented software. This paper shows how to extract a UML design from a REALbasic project, model REALbasic software using UML, and generate REALbasic code from UML.
Abstract: Earlier-generation spam systems all share a common weakness—they rely heavily on analyzing content that can easily be manipulated by spammers. As such, state-of-the-art antispam systems must go beyond content examination by analyzing messages in the full context in which they are sent. Find out how using a multilayer defense approach can help you successfully eliminate spam and blended threats in your enterprise.
Abstract: The storage industry provides an abundance of white papers discussing the ever-changing data management and retention regulations, the need for business continuity, and disaster recovery. The core of these data services is the ability to copy, move, and replicate data—locally and far away. Unfortunately, SANs only reach about 10 km. IT managers need to share, protect, and move data much farther than that. Find out how.
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: Fashion companies need to respond quickly and strategically to major changes occurring in today’s global supply chains. Implementing a lean supply chain management strategy can enable cost savings and more efficient operations by realigning process according to a demand-driven model. Lean supply chain management uses Web-based technologies to create and maintain dynamic supplier networks. Such networks are able to deliver the highest customer value at the lowest cost. It also lays the groundwork for the next level of hands-free, wireless radio frequency identification-enabled processes. 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 first of this series, “Lean Is Fashionable”, explores the impact of lean practices in the fashion and apparel industry during a period of momentous change.
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: To assure flexibility and lasting value, information system designs and product selection must be guided by an architectural plan for infrastructure and applications systems. The Art of architecture design is in extracting business requirements; the Science is translating them into technology solutions.
Abstract: Business processes must be enabled across the artificial boundaries of disparate applications that must work together to support these business processes. To that end, business process management (BPM) could assist in compliance issues, can reduce training requirements, and increase the overall efficiency of a business.
Abstract: To maximize the return on investment of a customer relationship management system, a new CRM best practices model should be used. A point-based system, self-assessment model that emphasizes senior management leadership and the need to create a culture consistent with CRM can lead to a deployment strategy that is correlated with success. An interactive version of this assessment is included with this article.
Abstract: Virtualization of system resources aboard x86 servers has become a de facto component of modern computing. So hardware and software vendors have begun to consider its impact on the architectural design of their products and the go-to-market models they use. Find out how virtualization can offer companies cost-savings for existing infrastructure, and new deployments that can be architected to leverage virtualization.
Abstract: Conventional models for estimating the electrical efficiency of data centers are grossly inaccurate for real-world installations. Electrical loss estimates are typically made by summing inefficiencies of electrical devices, such as power and cooling equipment. Discover a more accurate efficiency model that can help you identify and quantify waste in power and cooling equipment, and reduce total cost of ownership (TCO).