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
Do you want to get started with creating your own vehicles, maps, landscapes, and tools that you can use in the game and share with the Farming Simulator community? Then this is the resource for you! With the help of Jason van Gumster, you'll get up and running on everything you need to master 3D modeling and simulation—and have fun while doing it! Inside, you'll find out how to create and edit maps, start using the material panel, customize your mods by adding texture, use the correct file-naming conventions, test your mod in single and multiplayer modes, get a grip on using Vehicle XML, and so much more.
There's no denying that Farming Simulator players love modding—and now there's a trusted, friendly resource to help you take your modding skills to the next level and get even more out of your game. Written in plain English and packed with tons of step-by-step explanations, Farming Simulator Modding For Dummies is a great way to learn the ropes of 3D modeling with the tools available to you in the game. In no time, you'll be wowing your fellow gamesters—and yourself—with custom, kick-butt mods. So what are you waiting for?Includes an easy-to-follow introduction to using the GIANTS 3D modeling tools Explains how to export models to Blender, Maya, 3DS Max, or FBX Provides tips for using the correct image format for textures Details how to use Photoshop and Audacity to create custom mods for Farming Simulator
Whether you're one of the legions of rabid fans of the popular Farming Simulator game or just someone who wants to learn the basics of 3D modeling and animation, you'll find everything you need in this handy guide.
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.
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.
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!
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.
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.
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.
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 authors have developed an online resource that includes well-tested materials related to every chapter. Among these materials are lecture-related slides and videos, ideas for student projects, laboratory exercises, computational examples and scripts, and all the functions presented in the book.
The book is intended for advanced undergraduates in math, applied math, engineering, or science disciplines, as well as for researchers and professionals looking for an introduction to a subject they missed or overlooked in their education.
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.
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.
The book combines classical approaches to modelling with novel areas such as soft computing methods, inverse problems, and model uncertainty. Attention is also paid to the interaction between models, data and the use of mathematical software. The reader will find a broad selection of theoretical tools for practicing industrial mathematics, including the analysis of continuum models, probabilistic and discrete phenomena, and asymptotic and sensitivity analysis.
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
Despite the focus on architectural support in current architectures, some historical perspective is necessary to appropriately frame the problem. The first half of the book provides the historical perspective of the theoretical framework developed four decades ago by Popek and Goldberg. It also describes earlier systems that enabled virtualization despite the lack of architectural support in hardware.
As is often the case, theory defines a necessary—but not sufficient—set of features, and modern architectures are the result of the combination of the theoretical framework with insights derived from practical systems. The second half of the book describes state-of-the-art support for virtualization in both x86-64 and ARM processors. This book includes an in-depth description of the CPU, memory, and I/O virtualization of these two processor architectures, as well as case studies on the Linux/KVM, VMware, and Xen hypervisors. It concludes with a performance comparison of virtualization on current-generation x86- and ARM-based systems across multiple hypervisors.
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.
The role of management today, Suzaki argues, is to eliminate its own responsibilities by thinking of the organization from the genba, or shop floor, point of view. In this challenge, Suzaki claims, organizations need to collect the wisdom of people by practicing "Glass Wall Management," where organizations become transparent, enabling employees to contribute maximum creativity as opposed to blocking their potential with what he calls "Brick Wall Management." Further, to empower individuals to selfmanage their work and satisfy their customers, Suzaki asserts that they all should learn to manage their own "mini-company," where everybody is considered president of his or her area of responsibility.
Front-line supervisors, Suzaki shows, must develop a mission and goals and share them both up and downstream. He cites examples of the "shop floor point of view" -- McDonald's Corporation's legal staff learning how to sell hamburgers and fix milkshake machines; Honda's human resource staff training on the assembly line -- that narrow the gap between top management and the shop floor. By upgrading people's skills, focusing on empowerment, and streamlining processes, Suzaki illustrates that an organization will realize concrete improvements in quality, cost, delivery, safety, morale, and ultimately, its competitive position.
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.
"[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.
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.
Covering all the mathematical techniques required to resolve geometric problems and design computer programs for computer graphic applications, each chapter explores a specific mathematical topic prior to moving forward into the more advanced areas of matrix transforms, 3D curves and surface patches. Problem-solving techniques using vector analysis and geometric algebra are also discussed.
All the key areas are covered including: Numbers, Algebra, Trigonometry, Coordinate geometry, Transforms, Vectors, Curves and surfaces, Barycentric coordinates, Analytic geometry.
Plus – and unusually in a student textbook – a chapter on geometric algebra is included.
This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required.What You Will LearnThe book aims to explore advanced R features to simulate data to extract insights from your data.Get to know the advanced features of R including high-performance computing and advanced data manipulationSee random number simulation used to simulate distributions, data sets, and populationsSimulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulationsApplications to design statistical solutions with R for solving scientific and real world problemsComprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more.In Detail
Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world.
The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results.
By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems.Style and approach
This book takes a practical, hands-on approach to explain the statistical computing methods, gives advice on the usage of these methods, and provides computational tools to help you solve common problems in statistical simulation and computer-intense methods.
With the growing use of simulation within the field of healthcare, Healthcare Simulation: A Guide for Operations Specialists provides a much needed resource for developing the roles and responsibilities of simulation operations specialists. The book illustrates the current state and evolution of the simulation professional workforce and discusses the topics necessary for the development of these pivotal roles.
The book promotes the value of simulation-based education in healthcare and its associated outcomes while clarifying the operational requirements of successful simulations. Featuring numerous contributions from international experts, consultants, and specialists, Healthcare Simulation: A Guide for Operations Specialists presents advances in healthcare simulation techniques and also features:Coverage of the best practices and available technologies for healthcare simulation operations specialists within healthcare education, training, and assessment Interdisciplinary, practical examples throughout to help readers better understand the presented material An overview of the many facets of day-to-day operations within a healthcare simulation program Discussions regarding the concurrent need for understanding proper patient care that accompanies the human-to-machine interface in patient simulation
Healthcare Simulation: A Guide for Operations Specialists is an excellent reference for healthcare simulation professionals including administrators, medical directors, managers, simulation technologists, faculty members, and educators in academic and healthcare settings. The book is also a useful supplementary textbook for graduate-level courses related to simulation and certificate programs in simulation education and simulation operations.
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.
Specialized script packages are introduced and described. Hands-on problems representative of those commonly encountered throughout the data science pipeline are provided, and we guide you in the use of Julia in solving them using published datasets. Many of these scenarios make use of existing packages and built-in functions, as we cover:
1. 1. An overview of the data science pipeline along with an example illustrating the key points, implemented in Julia
2. 2. Options for Julia IDEs
3. 3. Programming structures and functions
4. 4. Engineering tasks, such as importing, cleaning, formatting and storing data, as well as performing data preprocessing
5. 5. Data visualization and some simple yet powerful statistics for data exploration purposes
6. 6. Dimensionality reduction and feature evaluation
7. 7. Machine learning methods, ranging from unsupervised (different types of clustering) to supervised ones (decision trees, random forests, basic neural networks, regression trees, and Extreme Learning Machines)
8. 8. Graph analysis including pinpointing the connections among the various entities and how they can be mined for useful insights.Each chapter concludes with a series of questions and exercises to reinforce what you learned. The last chapter of the book will guide you in creating a data science application from scratch using Julia.
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.
In answer, it recalls mutual learning, by which the exceptional have defied the norms of decline since before humans could write about it. Part 1 shows the mechanics how complex adaptive systems extend order—Hayek’s catallaxy. How lean exploits this is unpacked. Part 2 isolates popular fallacies of control that incentivize undoing. Part 3 offers countermeasures—leveled exploration and exploitation in strategy deployment, standard work, and development of employees, products, services, and methods.
Lean turns paradigms and routines from holding on, to sustainably moving on. Lean is not just a factory thing. Lessons abound in nature’s fractals and adaptations, admin, and history too; from the present back through World War II, the Industrial Revolution, the Reformation, to its roots in the civilizing of Antiquity.
Learners mine hard lessons while knowers sadly repeat them. Great sources on catallaxy—Juran, Hayek, Popper, Kuhn, Sproul, Rother, March—have left us rich deposits of distilled experience. Sustain is a trail guide, locating pivotal insights to defy the entropy of abandon-and-revert, in any enterprise that coordinates resources, time, and treasure in the face of varying, alternative uses.
Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling.
Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include:Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics
The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.
While most books essentially address the classical methods of queueing theory, this text covers a broad range of methods both in theory and in computation. The first part of the textbook exposes you to many fundamental concepts at an introductory level and provides tools for practitioners. It discusses the basics in queueing theory for Markovian and regenerative non-Markovian models, statistical inference, simulation and some computational procedures, network and discrete-time queues, algebraic and combinatorial methods, and optimization. The second part delves deeper into the topics examined in the first part by presenting more advanced methods. This part also includes general queues, duality in queues, and recent advancements on computational methods and discrete-time queues. Each chapter contains a discussion section that summarizes material and highlights special features.
Incorporating different queueing models, A Course on Queueing Models achieves an ideal balance between theory and practice, making it compatible for advanced undergraduate and graduate students, applied statisticians, and engineers.
The Art of Game Design, Second Edition gives readers useful perspectives on how to make better game designs faster. It provides practical instruction on creating world-class games that will be played again and again.
This book outlines the basic theory, with a minimum of mathematics, and how its phases are structured within a typical software. The importance of estimating a solution, or verifying the results, by other means is emphasized and illustrated. The book also demonstrates the common processes for utilizing the typical graphical icon interfaces in commercial codes. In particular, the book uses and covers the widely utilized SolidWorks solid modeling and simulation system to demonstrate applications in heat transfer, stress analysis, vibrations, buckling, and other fields. The book, with its detailed applications, will appeal to upper-level undergraduates as well as engineers new to industry.
Most chemical engineering students feel a shiver down the spine when they see a set of complex mathematical equations generated from the modeling of a chemical engineering system. This is because they usually do not understand how to achieve this mathematical model, or they do not know how to solve the equations system without spending a lot of time and effort.
Trying to understand how to generate a set of mathematical equations to represent a physical system (to model) and solve these equations (to simulate) is not a simple task. A model, most of the time, takes into account all phenomena studied during a Chemical Engineering course. In the same way, there is a multitude of numerical methods that can be used to solve the same set of equations generated from the modeling, and many different computational languages can be adopted to implement the numerical methods. As a consequence of this comprehensiveness and combinatorial explosion of possibilities, most books that deal with this subject are very extensive and embracing, making need for a lot of time and effort to go through this subject.
It is expected that with this book the chemical engineering student and the future chemical engineer feel motivated to solve different practical problems involving chemical processes, knowing they can do that in an easy and fast way, with no need of expensive software.
The core of the text addresses decisions that involve selecting the best alternative from diverse choices. The decisions include buying a car, picking a supplier or home contractor, selecting a technology, picking a location for a manufacturing plant or sports stadium, hiring an employee or selecting among job offers, deciding on the size of a sales force, making a late design change, and sourcing to emerging markets. The book also covers more complex decisions arising in negotiations, strategy, and ethics that involve multiple dimensions simultaneously.
Numerous activities interspersed throughout the text highlight real-world situations, helping readers see how the concepts presented can be used in their own work environment or personal life. Each chapter also includes discussion questions and references.
The book’s website at http://ise.wayne.edu/research/decision.php offers tutorials of Logical Decisions software for multi-objective decisions and Precision Tree software for probabilistic decisions. Directions for downloading student versions of the DecisionTools Suite and Logical Decisions software can be found in the appendices. Password-protected PowerPoint presentations for each chapter and solutions to all of the numeric examples are available for instructors.
This significant and timely volume is the first to apply supply chain management theories and practices in the context of tourism. By doing so the book offers insight into the relationships between tourism enterprises, how coordination across organizations can be effectively achieved and how business performance can be improved. It provides comprehensive and systematic coverage of modern supply chain management concepts and methodologies applied to the tourism and hospitality industries. The text covers key issues and principles including: marketing and product development, demand forecasting, supplier selection and management, distribution channels, capacity management, customer relationship management, tourism supply chain competition and coordination, and e-tourism.
The book combines essential theory and comparative international examples based on primary research to show challenges and opportunities of effective tourism supply chain management. This text is essential for final year undergraduate and postgraduate students studying Tourism Management, Tourism Planning and Tourism Economics.
It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields.
As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation.
The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.Develops principles and methods for representing biomedical data, using information in context and in decision making, and accessing information to assist the medical community in using data to its full potentialProvides a series of principles for expressing biomedical data and ideas in a computable form to integrate biological, clinical, and public health applicationsIncludes a discussion of user interfaces, interactive graphics, and knowledge resources and reference material on programming languages to provide medical informatics programmers with the technical tools to develop systems
Every organization and every person faces rapid change and complexity. Contextual intelligence – understanding fully the context in which one is operating – teaches the reader how to navigate that complexity and respond appropriately in the face of change (expected and unexpected).
The Three-Dimensional (3D) ThinkingTM framework helps structure critical thinking by showing how to appropriately bring past experience, present intuition, and future ambiguity– in other words: hindsight, insight, and foresight – to bear on any given problem.
Kutz offers a way to rationally organize difficult concepts such as complexity, tacit knowledge, and synchronicity into usable and understandable language, but more importantly teaches the reader how to apply these concepts in a very practical and meaningful way with measurable and tangible outcomes.
The book also describes in detail 12 behaviors associated with contextual intelligence. Four behaviors are associated with hindsight, four behaviors are associated with insight, and four behaviors are associated with foresight. The book takes the reader through the 12 behaviors and how they relate to 3D Thinking.Cases and anecdotes are used generously to provide examples. Chapters are followed by critical thinking questions and questions related to the cases in the chapters. Furthermore, questions and practical tools are introduced that help the reader assess and determine their level of contextual intelligence.
The goal of this book is to provide the readers a comprehensive map towards the common goal of better analyzing and synthesizing the pedestrian movement in dense, heterogeneous crowds. The book is organized into different parts that consolidate various aspects of research towards this common goal, namely the modeling, simulation, and visual analysis of crowds.
Through this book, readers will see the common ideas and vision as well as the different challenges and techniques, that will stimulate novel approaches to fully grasping “crowds."
With the inclusion of Physically Based Shading and the Standard Shader, Unity has changed the game for independent and large scale developers alike. Never before has it been so easy to create startling high quality visuals in games and other interactive projects.
This book will give you a solid understanding of the interaction of shaders, lighting and effects in Unity 5, and give you some great ideas for how you can maximize the visual impact of your own games for PC, mobile and other platforms. In the sequence of chapters you will find solutions to some of the major challenges to the creation of responsive and realistic looking games.
As you work on example scenes, you will get to know the syntax of ShaderLab and CG languages, creating simple and complex shader solutions for a variety of different surface effects. You will see how Unity's responsive lighting solutions can be harnessed to build immersive and appealing game experiences.Style and approach
This is the most up-to-date resource on creating amazing visual effects for your Unity 5.x games. With the perfect mix of advanced techniques and their illustrations in real-world examples, this is the most comprehensive advanced guide on Unity shaders and effects you'll find.