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A unified framework for developing planning and control algorithms for active sensing, with examples of applications for specific sensor technologies. Active sensor systems, increasingly deployed in such applications as unmanned vehicles, mobile robots, and environmental monitoring, are characterized by a high degree of autonomy, reconfigurability, and redundancy. This book is the first to offer a unified framework for the development of planning and control algorithms for active sensing, with examples of applications for a range of specific sensor technologies. The methods presented can be characterized as information-driven because their goal is to optimize the value of information, rather than to optimize traditional guidance and navigation objectives.
A unified framework for developing planning and control algorithms for active sensing, with examples of applications for specific sensor technologies. Active sensor systems, increasingly deployed in such applications as unmanned vehicles, mobile robots, and environmental monitoring, are characterized by a high degree of autonomy, reconfigurability, and redundancy. This book is the first to offer a unified framework for the development of planning and control algorithms for active sensing, with examples of applications for a range of specific sensor technologies. The methods presented can be characterized as information-driven because their goal is to optimize the value of information, rather than to optimize traditional guidance and navigation objectives.
The International Federation of Library Associations and Institutions (IFLA) is the leading international body representing the interests of library and information services and their users. It is the global voice of the information profession. The series IFLA Publications deals with many of the means through which libraries, information centres, and information professionals worldwide can formulate their goals, exert their influence as a group, protect their interests, and find solutions to global problems.
Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as “dynamic scheduling” or “integrated project management and control.” It is a project management methodology to plan, monitor, and control projects in progress in order to deliver them on time and within budget to the client. Its main focus is on the integration of three crucial aspects, as follows: Baseline Scheduling: Plan the project activities to create a project timetable with time and budget restrictions. Determine start and finish times of each project activity within the activity network and resource constraints. Know the expected timing of the work to be done as well as an expected impact on the project’s time and budget objectives. Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. Project Control: Measure and analyze the project’s performance data and take actions to bring the project on track. Monitor deviations from the expected project progress and control performance in order to facilitate the decision-making process in case corrective actions are needed to bring projects back on track. Both traditional Earned Value Management (EVM) and the novel Earned Schedule (ES) methods are used. What You'll Learn Implement a data-driven project management methodology (also known as "dynamic scheduling") which allows project managers to plan, monitor, and control projects while delivering them on time and within budget Study different project management tools and techniques, such as PERT/CPM, schedule risk analysis (SRA), resource buffering, and earned value management (EVM) Understand the three aspects of dynamic scheduling: baseline scheduling, schedule risk analysis, and project control Who This Book Is For Project managers looking to learn data-driven project management (or "dynamic scheduling") via a novel, demonstrating real-time simulations of how project managers can solve common project obstacles
This book is a “scientific” introduction to management consulting that covers elementary and more advanced concepts, such as strategy and client-relationship. It discusses the emerging role of information technologies in consulting activities and introduces the essential tools in data science, assuming no technical background. Drawing on extensive literature reviews with more than 200 peer reviewed articles, reports, books and surveys referenced, this book has at least four objectives: to be scientific, modern, complete and concise. An interactive version of some sections (industry snapshots, method toolbox) is freely accessible at econsultingdata.com.
In the 21st century, computer integrated manufacturing (CIM) systems will not only be the economic development tools but will also be the essential means of achieving a higher level of flexibility, cohesiveness and performance. CIM systems are beginning to settle into our society and industries, with greater emphasis on the integration of economic, cultural and social aspects together with design, planning, factory automation and artificial intelligent systems.This volume of proceedings brings together 10 keynote and invited speaker addresses, and over 180 papers by practitioners from 28 countries. It documents current research and in-depth studies on the fundamental aspects of advanced CIM systems and their practical applications. The papers fall into 3 main sections: CIM Related Issues; Industrial AI Applications Aspects; and Concurrent Engineering, Advanced Design, Simulation and Flexible Manufacturing Systems.
Market-Driven Management adopts a broad approach to marketing, integrating the strategic and operational elements of the discipline. Lambin's unique approach reflects how marketing operates empirically, as both a business philosophy and an action-oriented process. Motivated by the increased complexity of markets, globalisation, deregulation, and the development of e-commerce, the author challenges the traditional concept of the 4Ps and the functional roles of marketing departments, focusing instead on the concept of market orientation. The book considers all of the key market stakeholders, arguing that developing market relations and enhancing customer value is the responsibility of every member of the organization, and that the development of this customer value is the only way for a firm to achieve profit and growth. New to this edition: - Greater coverage of ethical issues and corporate social responsibility; cultural diversity; value and branding and the economic downturn - Broad international perspective - Thoroughly revised to reflect the latest academic thinking and research With its unique approach, international cases and complementary online resources, this book is ideal for postgraduate and upper level undergraduate students of marketing, and for MBAs and Executive MBAs.
Organizations invest a lot of time, money, and energy into developing and utilizing risk management practices as part of their project management disciplines. Yet, when you move beyond the project to the program, portfolio, PMO and even organizational level, that same level of risk command and control rarely exists. With this in mind, well-known subject matter expert and author Andy Jordan starts where most leave off. He explores risk management in detail at the portfolio, program, and PMO levels. Using an engaging and easy-to-read writing style, Mr. Jordan takes readers from concepts to a process model, and then to the application of that customizable model in the user’s unique environment, helping dramatically improve their risk command and control at the organizational level. He also provides a detailed discussion of some of the challenges involved in this process. Risk Management for Project Driven Organizations is designed to aid strategic C-level decision makers and those involved in the project, program, portfolio, and PMO levels of an organization. J. Ross Publishing offers an add-on for a nominal fee -- Downloadable tools and templates for easy customization and implementation.
This book presents an analysis and a critical discussion on performance management systems. It seeks to advance the current state of knowledge in the subject by introducing a holistic performance management system - the loosely coupled performance management system. This new system presents a framework to leverage the systemic relationships among already established performance management mechanisms. The author contends that loosely coupled performance management systems fulfill two different objectives, namely - they assure control and foster innovation. Such a comprehensive approach to management control provides managers of economic organizations with an overarching architecture for the design, diagnosis and effective use of performance management systems.​
"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.