Monte Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models. Monte-Carlo Simulation: An Introduction for Engineers and Scientists explores several specific applications in addition to illustrating the principles behind the m...
Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools...
The Supply Chain Game Changers
by Theodore (Ted) Stank, J. Paul Dittmann, Michael Burnette, and Chad W Autry
BREAKTHROUGH BEST PRACTICES IN GLOBAL SUPPLY CHAIN MANAGEMENT FROM WORLD-CLASS PRACTITIONERS For all supply chain decision-makers, professionals, and students Improve financial and operational performance Manage risk and ensure continuity Drive value through deeper integration Optimize logistics cost and customer responsiveness Hire and develop world-class talent This book brings together advanced supply chain practices that yield significant, enduring business advantage. It reflects exten...
Non-Linear Programming (Mathematical Engineering, Manufacturing, and Management Sciences)
by Nita H. Shah and Poonam Prakash Mishra
This book is for beginners who are struggling to understand and optimize non-linear problems. The content will help readers gain an understanding and learn how to formulate real-world problems and will also give insight to many researchers for their future prospects. It proposes a mind map for conceptual understanding and includes sufficient solved examples for reader comprehension. The theory is explained in a lucid way. The variety of examples are framed to raise the thinking level of the rea...
The subject of innovation has become a permanent fixture of the current political and economic discourse across the globe. In fact, the belief that economic growth is driven by innovation is common. The first half of the book adopts the viewpoint of the innovator through the details of the innovation's development journey. The second half advances this journey, where the actual running of an innovation business. Key Features:Provides a complete road map which breaks down the sequence of activ...
Numerical Methods and Optimization (Chapman & Hall/CRC Numerical Analysis and Scientific Computing)
by Sergiy Butenko and Panos M. Pardalos
For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they must first grasp the analysis of algorithms, computational complexity, and other concepts and modern developments in numerical methods. Satisfying this prerequisite, Numerical Methods and Optimization: An Introduction combines the materials from introductory numerical methods and introductory optimization courses into a single text. This classroom-tested app...
Nonlinear Programming (Dover Books on Computer Science) (Prentice-Hall series in automatic computation)
by Mordecai Avriel
Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making. Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage o...
Integrated Packaging Systems for Transportation and Distribution
by Charles W. Ebeling
Identifies the cost sensitive areas for each activity in the logistical system. Illustrates how packaging in addition to protecting and preserving contents can affect total system cost efficiency if designed to adapt well to unitized shipping methods and equipment: efficiently utilize warehouse stor
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (Big Data for Industry 4.0)
This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying t...
Written by one of the main developers of the Global Optimization Maple (TM) Toolbox, this book uses the Maple 13 computing system as an advanced multipurpose modeling and optimization environment. It reviews the necessary components of Maple that serve as the basic building blocks of optimization models and discusses how to develop various models with Maple. A large number of numerical examples and case studies highlight the use of Maple in various application situations. Specific topics address...
Soft Computing Techniques for Engineering Optimization (Science, Technology, and Management)
by Kaushik Kumar, Supriyo Roy, and J. Paulo Davim
This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, an...
Community Operational Research (Contemporary Systems Thinking)
Community Operational Research: OR and Systems Thinking for Community Development sets out the current concerns of Community Operational Research (Community OR for short) and explores new possibilities for its continued development. Leading Community OR writers, with international reputations in operational research and systems thinking, have contributed chapters that illuminate different aspects of Community OR theory and practice. There is a focus on the value of systems approaches, and other...
Models of Network Reliability
by Ilya B Gertsbakh, Yoseph Shpungin, and I.B. Gertsbakh
Unique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas. From there, the text investigates a collection of principal network reliability models, such as terminal connectivity for networks with unreliable edges and/or nodes, network lifetime distribution in the process of its destruction, network stationary behavior for renewable components, impo...
Advances in Metaheuristics
by Timothy Ganesan, Pandian Vasant, and Irraivan Elamvazuthi
Advances in Metaheuristics: Applications in Engineering Systems provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. With t...
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Student Solutions Manual for Winston's Introduction to Mathematical Programming
by Winston
The student solutions manual provides worked out solutions to 1/3 of the problems in the text.
Operations Management and Data Analytics Modelling
Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0. It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multip...
Identifies the cost sensitive areas for each activity in the logistical system. Illustrates how packaging in addition to protecting and preserving contents can affect total system cost efficiency if designed to adapt well to unitized shipping methods and equipment: efficiently utilize warehouse stor