The Objective Leader

The Objective Leader

Author: Elizabeth R. Thornton

Publisher: St. Martin's Press

Published: 2015-02-10

Total Pages: 257

ISBN-13: 1466879440

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We are all subjective—it's human nature. We overreact to situations; we judge people too quickly and unfairly; we take something personally when it was not really meant that way. As a result, we lose relationships, reputation, money, and peace of mind. And in our ever-more-complex world, leaders must make decisions faster and with more conflicting information; widespread insecurity makes people territorial and risk-averse; and the consequences of every action are played out on a disproportionately large stage. Imagine how much more prepared Mitt Romney could have been for his landslide loss on election night, if his advisors had acknowledged the facts staring them in the face. To succeed, we must consciously seek to increase our objectivity—seeing and accepting things as they are without projecting our mental models, fears, background, and personal experiences onto them. This way, we not only avoid costly cognitive errors, but open ourselves to engage new cultures, new markets, and new opportunities. In The Objective Leader, Thornton draws on her original research, as well as her years of experience as a manager and entrepreneur, to offer proven strategies for identifying limiting and unproductive ways of thinking and creating powerful new mental models that ensure continued success.


The Second Objective

The Second Objective

Author: Mark Frost

Publisher: Hachette+ORM

Published: 2007-04-10

Total Pages: 306

ISBN-13: 140138773X

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Bestselling author Mark Frost makes a triumphant return to fiction with this riveting World War II thriller, based on a shocking real-life German operation run by "the most dangerous man in Europe." Fall 1944. Germany is losing, and the Americans are starting to hope they'll be home for Christmas. Lieutenant Colonel Otto Skorzeny, "Hitler's Commando," famed for his daring rescue of the imprisoned Mussolini, has just received orders for Operation Greif: He is to assemble a new brigade of 2,000 men, all of whom speak English, and send them behind Allied lines disguised as GIs, where they will wreak havoc in advance of a savage new offensive. And from those men, Skorzeny is to select a smaller group, made up of the twenty most highly skilled commandos fluent in American culture, to attempt an even more sinister mission--the second objective--which, if completed, not only would change the course of the war, but would change the course of history. Filled with real characters and details only recently released by the United States military, The Second Objective is historical fiction at its most pulse-pounding, its most unpredictable, and its most compulsively readable.


Objective

Objective

Author: John Peel

Publisher: Simon and Schuster

Published: 1996

Total Pages: 292

ISBN-13: 0671568116

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The Bajorans would rather die than abandon their sacred home, but their hastily assembled military fleet does not stand a chance against the awesome power of the Hive. Unless Captain Sisko can penetrate the Hive's defenses--and discover their most closely guarded secret--all of Bajor faces extinction.


Measure What Matters

Measure What Matters

Author: John Doerr

Publisher: Penguin

Published: 2018-04-24

Total Pages: 322

ISBN-13: 052553623X

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#1 New York Times Bestseller Legendary venture capitalist John Doerr reveals how the goal-setting system of Objectives and Key Results (OKRs) has helped tech giants from Intel to Google achieve explosive growth—and how it can help any organization thrive. In the fall of 1999, John Doerr met with the founders of a start-up whom he'd just given $12.5 million, the biggest investment of his career. Larry Page and Sergey Brin had amazing technology, entrepreneurial energy, and sky-high ambitions, but no real business plan. For Google to change the world (or even to survive), Page and Brin had to learn how to make tough choices on priorities while keeping their team on track. They'd have to know when to pull the plug on losing propositions, to fail fast. And they needed timely, relevant data to track their progress—to measure what mattered. Doerr taught them about a proven approach to operating excellence: Objectives and Key Results. He had first discovered OKRs in the 1970s as an engineer at Intel, where the legendary Andy Grove ("the greatest manager of his or any era") drove the best-run company Doerr had ever seen. Later, as a venture capitalist, Doerr shared Grove's brainchild with more than fifty companies. Wherever the process was faithfully practiced, it worked. In this goal-setting system, objectives define what we seek to achieve; key results are how those top-priority goals will be attained with specific, measurable actions within a set time frame. Everyone's goals, from entry level to CEO, are transparent to the entire organization. The benefits are profound. OKRs surface an organization's most important work. They focus effort and foster coordination. They keep employees on track. They link objectives across silos to unify and strengthen the entire company. Along the way, OKRs enhance workplace satisfaction and boost retention. In Measure What Matters, Doerr shares a broad range of first-person, behind-the-scenes case studies, with narrators including Bono and Bill Gates, to demonstrate the focus, agility, and explosive growth that OKRs have spurred at so many great organizations. This book will help a new generation of leaders capture the same magic.


Multi-objective Optimization

Multi-objective Optimization

Author: Gade Pandu Rangaiah

Publisher: World Scientific

Published: 2009

Total Pages: 454

ISBN-13: 9812836519

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Following a brief introduction and general review on the development of multi-objective optimization applications in chemical engineering since 2000, the book gives a description of selected multi-objective techniques and then goes on to discuss chemical engineering applications. These applications are from diverse areas within chemical engineering, and are presented in detail. Several exercises are included at the end of many chapters.


Multi-Objective Decision Making

Multi-Objective Decision Making

Author: Diederik M. Zhou

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 111

ISBN-13: 3031015762

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Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.


Multi-Objective Optimization in Chemical Engineering

Multi-Objective Optimization in Chemical Engineering

Author: Gade Pandu Rangaiah

Publisher: John Wiley & Sons

Published: 2013-03-20

Total Pages: 487

ISBN-13: 1118341686

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For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design. Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.


Multi-objective Design Of Antennas Using Surrogate Models

Multi-objective Design Of Antennas Using Surrogate Models

Author: Slawomir Koziel

Publisher: World Scientific

Published: 2016-11-18

Total Pages: 361

ISBN-13: 1786341492

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This book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic simulations, surrogate modeling techniques, and design space reduction methods. Based on contemporary research, it formulates multi-objective design tasks, highlights related challenges in the context of antenna design, and discusses solution approaches. Specific focus is on providing methodologies for handling computationally expensive simulation models of antenna structures in the sense of their multi-objective optimization. Also given is a summary of recent developments in antenna design optimization using variable-fidelity simulation models. Numerous examples of real-world antenna design problems are provided along with discussions and recommendations for the readers interested in applying the considered methods in their design work.Written with researchers and students in mind, topics covered can also be applied across a broad spectrum of aeronautical, mechanical, electrical, biomedical and civil engineering. It is of particular interest to those dealing with optimization, computationally expensive design tasks and simulation-driven design.


Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems

Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems

Author: Oscar Osvaldo Marquez Calvo

Publisher: CRC Press

Published: 2020-02-07

Total Pages: 164

ISBN-13: 1000043142

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The exercise of solving engineering problems that require optimisation procedures can be seriously affected by uncertain variables, resulting in potential underperforming solutions. Although this is a well-known problem, important knowledge gaps are still to be addressed. For example, concepts of robustness largely differ from study to study, robust solutions are generally provided with limited information about their uncertainty, and robust optimisation is difficult to apply as it is a computationally demanding task. The proposed research aims to address the mentioned challenges and focuses on robust optimisation of multiple objectives and multiple sources of probabilistically described uncertainty. This is done by the development of the Robust Optimisation and Probabilistic Analysis of Robustness algorithm (ROPAR), which integrates widely accepted robustness metrics into a single flexible framework. In this thesis, ROPAR is not only tested in benchmark functions, but also in engineering problems related to the water sector, in particular the design of urban drainage and water distribution systems. ROPAR allows for employing practically any existing multi-objective optimisation algorithm as its internal optimisation engine, which enables its applicability to other problems as well. Additionally, ROPAR can be straightforwardly parallelized, allowing for fast availability of results.