Profiting from the Data Economy
by Associate Professor of Marketing David A Schweidel
Using Airbus's experience, this new case study discusses how exceptionally lean supply chains can generate catastrophic costs when something goes wrong. It asks: "Just what is the breaking point of a lean supply chain?" Coverage includes how Airbus must coordinate 1,500 suppliers to ramp up production on its popular A320 aircraft, how it copes with growing supplier consolidation, and how it might rectify problems and help valued suppliers. Focusing on issues facing virtually every manager of a l...
800x600 This new case study shows how an operationally complex global pharmaceutical company based in Hyderabad, India, responds to the challenges of high demand variability and other uncertainties. It reviews operations spanning the entire pharmaceutical supply chain, including development, manufacturing, drug formulation, and packaging; its 20 manufacturing plants throughout India; and export operations to 40+ countries worldwide. Throughout, it focuses on realistic issues and challenges, offe...
Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co
Advances in Queueing Theory, Methods, and Open Problems (Probability and Stochastics, #4)
by Jewgeni H. Dshalalow
The progress of science and technology has placed Queueing Theory among the most popular disciplines in applied mathematics, operations research, and engineering. Although queueing has been on the scientific market since the beginning of this century, it is still rapidly expanding by capturing new areas in technology. Advances in Queueing provides a comprehensive overview of problems in this enormous area of science and focuses on the most significant methods recently developed.Written by a team...
2020 Taylor & Francis Award Winner for Outstanding New Textbook! Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option in this field that combines these areas in one book, balances both theory and practical appl...
Introduction to Management Science, Student Value Edition
by Bernard W Taylor, III
Bite-Sized Operations Management (Synthesis Lectures on Operations Research and Applications)
by Mark S. Daskin
Building Sustainability Into Your Organization (Collection)
by Peter A Soyka
Basic Laboratory Procedures for the Operator-Analyst
by Water Environment Federation
Linear Optimization and Dualiyy: A Modern Exposition departs from convention in significant ways. Standard linear programming textbooks present the material in the order in which it was discovered. Duality is treated as a difficult add-on after coverage of formulation, the simplex method, and polyhedral theory. Students end up without knowing duality in their bones. This text brings in duality in Chapter 1 and carries duality all the way through the exposition. Chapter 1 gives a general definit...
The goal of this book is to publish the latest mathematical techniques, research, and developments in engineering. This book includes a comprehensive range of mathematics applied in engineering areas for different tasks. Various mathematical tools, techniques, strategies, and methods in engineering applications are covered in each chapter. Mathematical techniques are the strength of engineering sciences and form the common foundation of all novel disciplines within the field. Advanced Mathemat...
U.S. Multivendor and Third-Party Computer Hardware Maintenance Markets
This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.
Decentralized Control and Filtering in Interconnected Dynamical Systems
by Magdi S. Mahmoud
Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS. Providing an overall assessment of LSS theories, it addresses model order reduction, parametric uncertainties, time delays, and control estimator gain perturbations. Taking readers on a guided tour through LSS, the book examines recent trends and...
Probability Models in Operations Research (Operations Research)
by C. Richard Cassady and Joel A. Nachlas
Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive overview of the probabilistic and stochastic modeling approaches commonly used to capture the randomness in industrial and systems engineering.
The field of operations research provides a scientific approach to managerial decision making. In a contemporary, hypercompetitive ever-changing business world, a manager needs quantitative and factual ways of solving problems related to optimal allocation of resources, profit/loss, maximization/minimization etc. In this endeavor, the subject of doing research on how to manage and make operations efficient is termed as Operations Research. The reference text provides conceptual and analytical...
Big Data Analytics in Supply Chain Management
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques...
Our modern view of quality is a multifaceted conglomeration of probability, planning, and perception. Although warranties are important first as an estimate and then as a measurement of reliability, most books on reliability and quality relegate the topic of warranties to a single chapter. Today’s engineering student needs an integrated view that considers all aspects that contribute to overall quality along with methods to analyze, predict, measure, and improve each component. Reliability and...