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
Audience: The book is of interest to both researchers in operations research, systems engineering, and optimization methods, as well as applications specialists concerned with the solution of large scale discrete and/or nonconvex optimization problems in a broad range of engineering and technological fields. It may be used as supplementary material for graduate level courses.
Updates for this new edition include:
· Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization;· Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints;
· Important discussions of decomposition methods for specially structured problems;
· A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition.
· Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint.
From the reviews of the first edition:
The book gives a good review of the topic. ...The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.—Mathematical Methods of Operations Research, 49:3 (1999)
Audience: All researchers and students working in mathematical programming.
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 hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope.
Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet.
Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype.
But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data.
Each chapter will cover a different technique in aspreadsheet so you can follow along:Mathematical optimization, including non-linear programming andgenetic algorithmsClustering via k-means, spherical k-means, and graphmodularityData mining in graphs, such as outlier detectionSupervised AI through logistic regression, ensemble models, andbag-of-words modelsForecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulationMoving from spreadsheets into the R programming language
You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
This book will help you:Become a contributor on a data science teamDeploy a structured lifecycle approach to data analytics problemsApply appropriate analytic techniques and tools to analyzing big dataLearn how to tell a compelling story with data to drive business actionPrepare 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!
Audience: The book is written as a text for graduate students in engineering, mathematics, operations research, computer science and other disciplines dealing with optimization theory. It is also addressed to all scientists in various fields who are interested in mathematical optimization.
Social Media is huge - Nothing in the history of the world has brought people together and changed the face of business like social media has.
Reach out to the world and get them to like you.
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.
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.
Audience: Engineers and applied mathematicians at universities and working in industry. Also graduate-level students in advanced nonlinear computational mechanics, mathematics of finite elements and approximation theory. Chapter 1 includes the necessary prerequisite materials.
The "lost notebook" contains considerable material on mock theta functions and so undoubtedly emanates from the last year of Ramanujan's life. It should be emphasized that the material on mock theta functions is perhaps Ramanujan's deepest work. Mathematicians are probably several decades away from a complete understanding of those functions. More than half of the material in the book is on q-series, including mock theta functions; the remaining part deals with theta function identities, modular equations, incomplete elliptic integrals of the first kind and other integrals of theta functions, Eisenstein series, particular values of theta functions, the Rogers-Ramanujan continued fraction, other q-continued fractions, other integrals, and parts of Hecke's theory of modular forms.
Audience: The book is written at a level suitable for advanced undergraduate students and graduate students as well as research workers and practitioners in computer science information technology, mathematics and physics. The book is suitable as a reference or as supplementary reading material for an advanced graduate course. Only a basic knowledge of calculus is required.
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.
With exceptionally coherent and lucid exposition, the work fills a big gap between the mathematical and engineering sciences. It shows how to use formal language and duality methods to model natural phenomena, to construct intrinsic frameworks in different fields and to provide ideas, concepts and powerful methods for solving non-convex, non-smooth problems arising naturally in engineering and science. Much of the book contains material that is new, both in its manner of presentation and in its research development. A self-contained appendix provides some necessary background from elementary functional analysis.
Audience: The book will be a valuable resource for students and researchers in applied mathematics, physics, mechanics and engineering. The whole volume or selected chapters can also be recommended as a text for both senior undergraduate and graduate courses in applied mathematics, mechanics, general engineering science and other areas in which the notions of optimization and variational methods are employed.
Each contribution in the book is essentially expository in nature, but of scholarly treatment. The topics covered include advances in local and global optimization approaches for molecular dynamics and modeling, distance geometry, protein folding, molecular structure refinement, protein and drug design, and molecular and peptide docking.
Audience: The book is addressed not only to researchers in mathematical programming, but to all scientists in various disciplines who use optimization methods in solving problems in computational chemistry and biology.
Audience: Mathematicians, engineers, economists, specialists working in operations research and anybody interested in applied mathematics or in mathematical modeling.
Audience: The book is a valuable source of information for faculty, students, researchers, and practitioners in financial engineering, operation research, optimization, computer science, and related areas.
The Second Edition is completely revised and provides additional review material on linear algebra as well as complete coverage of elementary linear programming. Other topics covered include: the Duality Theorem; transportation problems; the assignment problem; and the maximal flow problem. New figures and exercises are provided and the authors have updated all computer applications.More review material on linear algebraElementary linear programming covered more efficientlyPresentation improved, especially for the duality theorem, transportation problems, the assignment problem, and the maximal flow problemNew figures and exercisesComputer applications updatedNew guide to inexpensive linear programming software for personal computers
In Pursuit of the Traveling Salesman travels to the very threshold of our understanding about the nature of complexity, and challenges you yourself to discover the solution to this captivating mathematical problem.
Some images inside the book are unavailable due to digital copyright restrictions.