"Far beyond a classic, this small book unleashed the ongoing explosion of interest in social choice and voting theory. A half-century later, the book remains full of profound insight: its central message, 'Arrow's Theorem, ' has changed the way we think."--Donald G. Saari, author of "Decisions and Elections: Explaining the Unexpected "
These themes are described in an introductory, expository, and accessible manner by exploring new ways to handle dynamics and evolutionary game theory, to identify subtleties of decision and voting methods, to recognize unexpected modeling concerns, and to introduce new approaches with which to examine game theory. Applications range from avoiding undesired consequences when designing policy to identifying unanticipated voting (where the wrong person could win), nonparametric statistical, and economic supply and demand properties.
The Goal: A Process of Ongoing Improvement by Eliyahu Goldratt and Jeff Cox describes a process by which an unprofitable manufacturing operation can be made profitable. It conveys proven factory turnaround principles through a fictional story…
PLEASE NOTE: This is key takeaways and analysis of the book and NOT the original book.
Inside this Instaread of The Goal:Overview of the bookImportant PeopleKey TakeawaysAnalysis of Key Takeaways
Brad Stone enjoyed unprecedented access to current and former Amazon employees and Bezos family members, and his book is the first in-depth, fly-on-the-wall account of life at Amazon. The Everything Store is the book that the business world can't stop talking about, the revealing, definitive biography of the company that placed one of the first and largest bets on the Internet and forever changed the way we shop and read.
This book will help you:Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification
Corresponding data sets are available at www.wiley.com/go/9781118876138.
Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.
Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet.
Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype.
But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.
Each chapter will cover a different technique in a spreadsheet so you can follow along:Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language
You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.
In recent years, management gurus have urged businesses to adopt such strategies as just-in-time, lean manufacturing, offshoring, and frequent deliveries to retail outlets. But today, these much-touted strategies may be risky. Global financial turmoil, rising labor costs in developing countries, and huge volatility in the price of oil and other commodities can disrupt a company's entire supply chain and threaten its ability to compete. In Operations Rules, David Simchi-Levi identifies the crucial element in a company's success: the link between the value it provides its customers and its operations strategies. And he offers a set of scientifically and empirically based rules that management can follow to achieve a quantum leap in operations performance.
Flexibility, says Simchi-Levi, is the single most important capability that allows firms to innovate in their operations and supply chain strategies. A small investment in flexibility can achieve almost all the benefits of full flexibility. And successful companies do not all pursue the same strategies. Amazon and Wal-Mart, for example, are direct competitors but each focuses on a different market channel and provides a unique customer value proposition—Amazon, large selection and reliable fulfillment; Wal-Mart, low prices—that directly aligns with its operations strategy. Simchi-Levi's rules—regarding such issues as channels, price, product characteristics, value-added service, procurement strategy, and information technolog—-transform operations and supply chain management from an undertaking based on gut feeling and anecdotes to a science.
Programmers interested in the point of view of leaders in the field. Programmers looking for approaches that work for some of these outstanding programmers.Table of Contents Jamie Zawinski Brad Fitzpatrick Douglas Crockford Brendan Eich Joshua Bloch Joe Armstrong Simon Peyton Jones Peter Norvig Guy Steele Dan Ingalls L Peter Deutsch Ken Thompson Fran Allen Bernie Cosell Donald Knuth
Tom DeMarco, a leading management consultant to both Fortune 500 and up-and-coming companies, has discovered a counterintuitive principle that explains why efficiency improvement can sometimes make a company slow. If your real organizational goal is to become fast (responsive and agile), then he proposes that what you need is not more efficiency, but more slack.
What is “slack”? Slack is the degree of freedom in a company that allows it to change. It could be something as simple as adding an assistant to a department, letting high-priced talent spend less time at the photo copier and more time making key decisions. Slack could also appear in the way a company treats employees: instead of loading them up with overwork, a company designed with slack allows its people room to breathe, increase effectiveness, and reinvent themselves.
In thirty—three short chapters filled with creative learning tools and charts, you and your company can learn how to:
∑make sense of the Efficiency/Flexibility quandary
∑run directly toward risk instead of away from it
∑strengthen the creative role of middle management
∑make change and growth work together for even greater profits
A innovative approach that works for new- and old-economy companies alike, this revolutionary handbook will debunk commonly held assumptions about real-world management, and give you and your company a brand-new model for achieving and maintaining true effectiveness—and a healthier bottom line.
From the Hardcover edition.
With many detailed examples from companies that have put time-based strategies in place, such as Federal Express, Ford, Milliken, Honda, Deere, Toyota, Sun Microsystems, Wal-Mart, Citicorp, Harley-Davidson, and Mitsubishi, the authors describe exactly how reducing elapsed time can make the critical difference between success and failure. Give customers what they want when they want it, or the competition will. Time-based companies are offering greater varieties of products and services, at lower costs, and with quicker delivery times than their more pedestrian competitors. Moreover, the authors show that by refocusing their organizations on responsiveness, companies are discovering that long-held assumptions about the behavior of costs and customers are not true: Costs do not increase when lead times are reduced; they decline. Costs do not increase with greater investment in quality; they decrease. Costs do not go up when product variety is increased and response time is decreased; they go down. And contrary to a commonly held belief that customer demand would be only marginally improved by expanded product choice and better responsiveness, the authors show that the actual results have been an explosion in the demand for the product or service of a time-sensitive competitor, in most cases catapulting it into the most profitable segments of its markets.
With persuasive evidence, Stalk and Hout document that time consumption, like cost, is quantifiable and therefore manageable. Today's new-generation companies recognize time as the fourth dimension of competitiveness and, as a result, operate with flexible manufacturing and rapid-response systems, and place extraordinary emphasis on R&D and innovation. Factories are close to the customers they serve. Organizations are structured to produce fast responses rather than low costs and control. Companies concentrate on reducing if not eliminating delays and using their response advantage to attract the most profitable customers.
Stalk and Hout conclude that virtually all businesses can use time as a competitive weapon. In industry after industry, they illustrate the processes involved in becoming a time-based competitor and the ways managers can open and sustain a significant advantage over the competition.
The truth is that in order for any performance improvement effort to add value to the organization, deep analysis is required. Analysis for Improving Performance details a systematic approach for doing the rigorous preparatory analysis that is vital to shaping and developing successful performance improvement efforts.
Richard A. Swanson's methods enable program developers and managers to define clear objectives, assess existing systems and missions, analyze worker knowledge and expertise, define desired performance and evaluation standards, and develop a performance improvement plan that will meet the desired performance goals.
This new edition has been extensively revised throughout and presents expanded concepts and updated cases, as well as a new chapter on documenting and improving work processes and documenting process-referenced tasks. Written for take-charge managers, performance improvement specialists, and workers wanting to improve their organizations, Analysis for Improving Performance provides “real-world” knowledge, tools, examples, graphics, and exercises aimed at developing your expertise in diagnosing organizational performance and documenting workplace expertise—the keys to long-term organizational success. In short, it is a complete guide to ensuring that the time, money, and effort you invest in organizational development are well spent.
Evolutionary Foundations of Equilibria in Irrational Markets proves traditional economic equilibria continue to occur despite natural selection in irrational markets. It covers a wide sampling of equilibria under various scenarios, and each chapter addresses the results of these models at an aggregate level. The text is supplemented with charts and figures to drive home key findings and proofs, making it of interest to students and researchers in the areas of economics and behavioral finance.
Special features include:
* The most in-depth coverage of a wide range of topics, including information systems, benchmarking, and environmental issues
* Contributions found nowhere else from the leading executives, consultants, and academics in the field, such as C. John Langley, James Heskett, and David Anderson
* State of the art graphics
* Information-packed appendixes of logistics publications and organizations
This all-inclusive reference will enable the next generation of managers to thoroughly integrate their logistics operations at all levels -- strategic, structural, functional, and implementation -- into a comprehensive logistics strategy.
Bounded rationality has acknowledged effects on the power of incentive provisions, such as deviations from sufficient statistic theorem, the power of optimal incentives, and the effects of optimal contracts in multicultural environments. The introduction of social norms to bounded rationality opens up new avenues of investigation into contracts and mechanism design.
This book makes an important contribution to the study of bounded rationality by pulling together many separate strands of research in the area of mechanism design, and providing detailed analysis of the impact of societal values on contracts.
"[This book] provides a comprehensive overview of the fundamental concepts in healthcare process management as well as some advanced topics in the cutting-edge research of the closely related areas. This book is ideal for graduate students and practitioners who want to build the foundations and develop novel contributions in healthcare process modeling and management."
--Christopher Yang, Drexel University
Process modeling and process management are traversal disciplines which have earned more and more relevance over the last two decades. Several research areas are involved within these disciplines, including database systems, database management, information systems, ERP, operations research, formal languages, and logic. Process Modeling and Management for Healthcare provides the reader with an in-depth analysis of what process modeling and process management techniques can do in healthcare, the major challenges faced, and those challenges remaining to be faced. The book features contributions from leading authors in the field.
The book is structured into two parts. Part one covers fundamentals and basic concepts in healthcare. It explores the architecture of a process management environment, the flexibility of a process model, and the compliance of a process model. It also features a real application domain of patients suffering from age-related macular degeneration.
Part two of the book includes advanced topics from the leading frontiers of scientific research on process management and healthcare. This section of the book covers software metrics to measure features of the process model as a software artifact. It includes process analysis to discover the formal properties of the process model prior to deploying it in real application domains. Abnormal situations and exceptions, as well as temporal clinical guidelines, are also presented in depth Pro.
Now, in World Class Manufacturing, Schonberger returns to tell the success stories of nearly 100 American corporations -- including Hewlett-Packard, Harley-Davidson, General Motors, Honeywell, and Uniroyal -- that have adopted the famed just-in-time production and "total quality control" strategies. Based on his firsthand experience as a major consultant to American industry, he examines how they did it -- and illustrates how the same concrete, specific steps used by these top companies can be implemented in any factory today. What's more, Schonberger shows that his bold concepts and reforms apply equally to all industries, whether the product is computers, pasta, or trucks, and to all divisions -- from manufacturing and engineering to accounting and marketing.
According to Schonberger, world-class manufacturing depends on blended management -- rather than domination by a separate group of managers -- which marshalls resources for continual rapid improvement. To achieve world-class status, companies must change procedures and concepts, which in turn leads to recasting relations among suppliers, purchasers, producers, and customers. Acknowledging the difficulty inherent in such changes, Schonberger stresses that employee involvement and interaction, both on the shop floor and in the decision-making/problem-solving process, is key. Wary of those who view improvement in terms of modernizing equipment, he points out that making maximum use of people and current machinery is a company's first priority; automation, if necessary, should come much later.
World Class Manufacturing also includes Schonberger's 17-point action agenda to guide innovators toward manufacturing excellence, from getting to know the customer to cutting the number of suppliers, reducing error in production, and deciding when and how to automate.
Indispensable for all manufacturing innovators who aim to keep ahead of the competition, this inspiring, groundbreaking volume does much more than just recommend or theorize about the new manufacturing approach. Plainly, realistically, and logically, it explains how it's done.
The book introduces the readers to various models of Operations Research (OR), such as transportation model, assignment model, inventory models, queueing theory and integer programming models. Various techniques to solve OR problems’ faced by managers are also discussed. Separate chapters are devoted to Linear Programming, Dynamic Programming and Quadratic Programming which greatly help in the decision-making process.
The text facilitates easy comprehension of topics by the students due to inclusion of:
• Examples and situations from the Indian context.
• Numerous exercise problems arranged in a graded manner.
• A large number of illustrative examples.
The text is primarily intended for the postgraduate students of management, computer applications, commerce, mathematics and statistics. Besides, the undergraduate students of mechanical engineering and industrial engineering will find this book extremely useful. In addition, this text can also be used as a reference by OR analysts and operations managers.
NEW TO THE THIRD EDITION
• Includes two new chapters:
– Chapter 14: Project Management—PERT and CPM
– Chapter 15: Miscellaneous Topics (Game Theory, Sequencing and Scheduling, Simulation, and Replacement Models)
• Incorporates more examples in the existing chapters to illustrate new models, algorithms and concepts
• Provides short questions and additional numerical problems for practice in each chapter
Key features of this revised and improved Second Edition include:
· Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms)
· Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics
· An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata
· A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations
Themed around three areas in separate sets of chapters – Static Simulation Optimization, Reinforcement Learning and Convergence Analysis – this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.
Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites.
To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs.
The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book.
Key Concepts in Operations Management introduces a selection of key concepts and techniques in the field.
Concise, informative and contemporary, with consideration given to explaining the principles of the topic, as well as the relevant debates and literature, the book contains over 50 concept entries including: Operations Strategy, Managing Innovation, Process Modeling, New Product Development, Forecasting, Planning and Control, Supply Chain Management, Risk Management and many more.
The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book.
Microsoft Dynamics 365 for finance and operations is a rapidly growing application and is widely used in enterprise organizations. Because of its ability to maximize business productivity, it is a fast-growing business application package in the ERP market.
We will start by looking into ERP concepts, implementation needs, and interface design, giving you basic knowledge of financial management aspects and explaining key concepts along the way. To begin with, you'll be taken through the general ledger and financial dimension functions. You'll later learn about the sales tax mechanism and multi-currency in Microsoft Dynamics 365. We tackle each topic with focused examples and explanations on topics such as payable/receivable accounts, forecasting, cash and bank management, budgeting planning/control, and fixed assets. Finally, we walk you through intercompany, consolidation, costing basics, and financial reporting.
By the end of this book, your finance team will have a much richer understanding of Microsoft Dynamics 365 for finance and operations and its powerful capabilities.What you will learnExamine the business logic behind the financial functionalities of Microsoft Dynamics 365 FFOSet up and configure the core modules of financial managementGrasp the key control points of financial managementExplore intercompany and consolidation in Microsoft Dynamics 365 FFOUnderstand multi-currency sales, tax mechanisms, and budgeting capabilities in Microsoft Dynamics 365 FFOGet to grips with month/year-end period close functionalityUnderstand the account payable and receivable moduleUse Microsoft Dynamics 365 to create financial reportsWho this book is for
This book is for application consultants, solution architects, controllers, CFOs, pre-sales and other professionals who are involved in a Microsoft Dynamics 365 for finance and operation implementation. Basic knowledge of financial terms, concepts, and terminologies is required.
An innovation tournament, just like its counterpart in sports, starts with a large number of candidates, with opportunities as the players. These opportunities are pitted against each other until only the exceptional survive.
This book provides a principled approach for the effective management of innovation tournaments - identifying a wealth of promising opportunities and then evaluating and filtering them intelligently for greatest profitability. With a set of practical tools for creating and identifying new opportunities, it guides the reader in evaluating and screening opportunities. The book demonstrates how to construct an innovation portfolio and how to align the innovation process with an organization's competitive strategy.
Innovation Tournaments employs quirky, fresh examples ranging from movies to medical devices. The authors' tool kit is built on their extensive research, their entrepreneurial backgrounds, and their teaching and consulting work with many highly innovative organizations.
Difference and Differential Equations with Applications in Queueing Theory presents the unique connections between the methods and applications of differential equations, difference equations, and Markovian queues. Featuring a comprehensive collection of topics that are used in stochastic processes, particularly in queueing theory, the book thoroughly discusses the relationship to systems of linear differential difference equations.
The book demonstrates the applicability that queueing theory has in a variety of fields including telecommunications, traffic engineering, computing, and the design of factories, shops, offices, and hospitals. Along with the needed prerequisite fundamentals in probability, statistics, and Laplace transform, Difference and Differential Equations with Applications in Queueing Theory provides:A discussion on splitting, delayed-service, and delayed feedback for single-server, multiple-server, parallel, and series queue models Applications in queue models whose solutions require differential difference equations and generating function methods Exercises at the end of each chapter along with select answers
The book is an excellent resource for researchers and practitioners in applied mathematics, operations research, engineering, and industrial engineering, as well as a useful text for upper-undergraduate and graduate-level courses in applied mathematics, differential and difference equations, queueing theory, probability, and stochastic processes.