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Project Management Analytics

Author: Harjit Singh
Publisher: FT Press
ISBN: 0134190491
Size: 67.37 MB
Format: PDF, Docs
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To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty. Today’s powerful analytics tools and methods can help you do all of this far more successfully. In Project Management Analytics , Harjit Singh shows how to bring greater evidence-based clarity and rationality to all your key decisions throughout the full project lifecycle. Singh identifies the components and characteristics of a good project decision and shows how to improve decisions by using predictive, prescriptive, statistical, and other methods. You’ll learn how to mitigate risks by identifying meaningful historical patterns and trends; optimize allocation and use of scarce resources within project constraints; automate data-driven decision-making processes based on huge data sets; and effectively handle multiple interrelated decision criteria. Singh also helps you integrate analytics into the project management methods you already use, combining today’s best analytical techniques with proven approaches such as PMI PMBOK® and Lean Six Sigma. Project managers can no longer rely on vague impressions or seat-of-the-pants intuition. Fortunately, you don’t have to. With Project Management Analytics , you can use facts, evidence, and knowledge—and get far better results. Achieve efficient, reliable, consistent, and fact-based project decision-making Systematically bring data and objective analysis to key project decisions Avoid “garbage in, garbage out” Properly collect, store, analyze, and interpret your project-related data Optimize multi-criteria decisions in large group environments Use the Analytic Hierarchy Process (AHP) to improve complex real-world decisions Streamline projects the way you streamline other business processes Leverage data-driven Lean Six Sigma to manage projects more effectively

Design Scenarios Methodology Enabling Requirements Driven Design Spaces

Author:
Publisher: Stanford University
ISBN:
Size: 53.48 MB
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During the conceptual design process, the building shape, orientation, materials and other major properties are established, all of which have a substantial impact on multi-aspect performance. In this process, multidisciplinary teams define project objectives, create various alternatives, and try to understand their impacts and value. With non-parametric Computer Aided Design (CAD) methods designers produce and analyze as few as three alternatives, whereas with parametric CAD -- they can generate thousands. However, with current parametric methods, CAD experts lack a comprehensive method to build and analyze multi-objective parametric models. Therefore the resulting models do not effectively encapsulate multi-objective value measures. This research introduces the Design Scenarios Methodology (DS), which builds on research from Systems Engineering, Process Modeling, and Parametric Modeling. With DS, Enablers use Methods to create Elements using five interconnected models to define (1) project stakeholders and their objectives, (2) designer logic used to address objectives, (3) the connection between designer logic and computable models to generate alternatives, (4) the predicted impact and (5) value of the generated alternatives. I implemented DS as a web-based software prototype and tested it on an industry project. The results provide evidence that the DS method provides CAD experts with well-defined logic and parameters for addressing objectives and the process enables creating parametric alternatives with clear multi-objective values that potentially provide clients with better building designs. This thesis lays the foundation for future research on automating the design alternative generation and analyses processes by leveraging such well established methods as Multi-Disciplinary Optimization.

Bulletin Of The Atomic Scientists

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Publisher:
ISBN:
Size: 31.72 MB
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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Bulletin Of The Atomic Scientists

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Publisher:
ISBN:
Size: 12.14 MB
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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Bulletin Of The Atomic Scientists

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Publisher:
ISBN:
Size: 21.28 MB
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View: 3680
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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Bulletin Of The Atomic Scientists

Author:
Publisher:
ISBN:
Size: 44.78 MB
Format: PDF, Kindle
View: 1151
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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.