Author: Robert E. D. Woolsey
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 176
Book Description
Real World Operations Research: The Woolsey Papers is a collection of the diverse writings of one of ORs most outspoken and controversial figures, Gene Woolsey. Woolseys humorous and practical writings leave little wonder as to his venerable status in the field.This collection contains 33 articles published from 1972 and 2003, covering a broad spectrum of subject matter relevant not only to OR/MS professionals, but also educators, managers and corporate administration. To accompany his writings on operations research, chapters also cover topics from communication in the corporate world to handling labor disputes, getting promoted and getting fired. Through creative storytelling and down-to-earth advice, Woolsey provides readers with the knowledge and philosophical mindset to conquer operations and management situations in all settings.Order online at: www.lionhrtpub.com/books Published by Lionheart Publishing, Inc.:506 Roswell Street, Suite 220, Marietta, Georgia 30060 (888) 303-5639, ext. 214, fax: (770) 432-6969e-mail: [email protected]
Real World Operations Research
Author: Robert E. D. Woolsey
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 176
Book Description
Real World Operations Research: The Woolsey Papers is a collection of the diverse writings of one of ORs most outspoken and controversial figures, Gene Woolsey. Woolseys humorous and practical writings leave little wonder as to his venerable status in the field.This collection contains 33 articles published from 1972 and 2003, covering a broad spectrum of subject matter relevant not only to OR/MS professionals, but also educators, managers and corporate administration. To accompany his writings on operations research, chapters also cover topics from communication in the corporate world to handling labor disputes, getting promoted and getting fired. Through creative storytelling and down-to-earth advice, Woolsey provides readers with the knowledge and philosophical mindset to conquer operations and management situations in all settings.Order online at: www.lionhrtpub.com/books Published by Lionheart Publishing, Inc.:506 Roswell Street, Suite 220, Marietta, Georgia 30060 (888) 303-5639, ext. 214, fax: (770) 432-6969e-mail: [email protected]
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 176
Book Description
Real World Operations Research: The Woolsey Papers is a collection of the diverse writings of one of ORs most outspoken and controversial figures, Gene Woolsey. Woolseys humorous and practical writings leave little wonder as to his venerable status in the field.This collection contains 33 articles published from 1972 and 2003, covering a broad spectrum of subject matter relevant not only to OR/MS professionals, but also educators, managers and corporate administration. To accompany his writings on operations research, chapters also cover topics from communication in the corporate world to handling labor disputes, getting promoted and getting fired. Through creative storytelling and down-to-earth advice, Woolsey provides readers with the knowledge and philosophical mindset to conquer operations and management situations in all settings.Order online at: www.lionhrtpub.com/books Published by Lionheart Publishing, Inc.:506 Roswell Street, Suite 220, Marietta, Georgia 30060 (888) 303-5639, ext. 214, fax: (770) 432-6969e-mail: [email protected]
Deterministic Operations Research
Author: David J. Rader
Publisher: John Wiley & Sons
ISBN: 1118627350
Category : Mathematics
Languages : en
Pages : 631
Book Description
Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering. Addressing the importance of the algorithm design process. Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems. The result is a clear-cut resource for understanding three cornerstones of deterministic operations research: modeling real-world problems as linear optimization problem; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development. Treating real-world examples as mathematical problems, the author begins with an introduction to operations research and optimization modeling that includes applications form sports scheduling an the airline industry. Subsequent chapters discuss algorithm design for continuous linear optimization problems, covering topics such as convexity. Farkas’ Lemma, and the study of polyhedral before culminating in a discussion of the Simplex Method. The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method. Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm. The final chapters present network optimization and integer programming problems, highlighting various specialized topics including label-correcting algorithms for the shortest path problem, preprocessing and probing in integer programming, lifting of valid inequalities, and branch and cut algorithms. Concepts and approaches are introduced by outlining examples that demonstrate and motivate theoretical concepts. The accessible presentation of advanced ideas makes core aspects easy to understand and encourages readers to understand how to think about the problem, not just what to think. Relevant historical summaries can be found throughout the book, and each chapter is designed as the continuation of the “story” of how to both model and solve optimization problems by using the specific problems-linear and integer programs-as guides. The book’s various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with MapleTM and MATLAB® content for the discussed calculations. Thoroughly class-tested to ensure a straightforward, hands-on approach, Deterministic Operations Research is an excellent book for operations research of linear optimization courses at the upper-undergraduate and graduate levels. It also serves as an insightful reference for individuals working in the fields of mathematics, engineering, computer science, and operations research who use and design algorithms to solve problem in their everyday work.
Publisher: John Wiley & Sons
ISBN: 1118627350
Category : Mathematics
Languages : en
Pages : 631
Book Description
Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering. Addressing the importance of the algorithm design process. Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems. The result is a clear-cut resource for understanding three cornerstones of deterministic operations research: modeling real-world problems as linear optimization problem; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development. Treating real-world examples as mathematical problems, the author begins with an introduction to operations research and optimization modeling that includes applications form sports scheduling an the airline industry. Subsequent chapters discuss algorithm design for continuous linear optimization problems, covering topics such as convexity. Farkas’ Lemma, and the study of polyhedral before culminating in a discussion of the Simplex Method. The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method. Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm. The final chapters present network optimization and integer programming problems, highlighting various specialized topics including label-correcting algorithms for the shortest path problem, preprocessing and probing in integer programming, lifting of valid inequalities, and branch and cut algorithms. Concepts and approaches are introduced by outlining examples that demonstrate and motivate theoretical concepts. The accessible presentation of advanced ideas makes core aspects easy to understand and encourages readers to understand how to think about the problem, not just what to think. Relevant historical summaries can be found throughout the book, and each chapter is designed as the continuation of the “story” of how to both model and solve optimization problems by using the specific problems-linear and integer programs-as guides. The book’s various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with MapleTM and MATLAB® content for the discussed calculations. Thoroughly class-tested to ensure a straightforward, hands-on approach, Deterministic Operations Research is an excellent book for operations research of linear optimization courses at the upper-undergraduate and graduate levels. It also serves as an insightful reference for individuals working in the fields of mathematics, engineering, computer science, and operations research who use and design algorithms to solve problem in their everyday work.
OPERATIONS RESEARCH, THIRD EDITION
Author: PANNEERSELVAM, R.
Publisher: PHI Learning Pvt. Ltd.
ISBN: 9354438296
Category : Business & Economics
Languages : en
Pages : 642
Book Description
The third edition of this well-organized and comprehensive text continues to provide an in-depth coverage of the theory and applications of operations research. It emphasizes the role of operations research not only as an effective decision-making tool, but also as an essential productivity improvement tool to deal with real-world management problems. In the growing field of analytics, this text serves to have thorough understanding of the Operations Models that form constituents of the model base, which is a component of Decision Support System. This edition includes new carefully designed numerical examples that help in understanding complex mathematical concepts better. The book is an easy read, explaining the basics of operations research and discussing various optimization techniques such as • Overview of operations research • Queuing theory • Linear programming • Project management • Transportation problem • Decision theory • Assignment problem • Game theory • Network techniques • Production scheduling • Integer programming • Goal programming • Inventory control • Parametric linear programming • Dynamic programming • Nonlinear programming NEW TO THIS EDITION • Inclusion of more mathematical models in Chapter 2. • Incorporation of case studies in all the chapters to test the understanding, analysis, and provision solution for implementation of the concerned Operation Research techniques. • Introduction of a topic on ABC analysis in Chapter 7. • Access to Multiple Choice Questions with keys for each of the chapters as online resource materials. Visit: https://www.phindia.com/Operations_research_panneerselvam This book, with numerous pedagogical features, would be eminently suitable as a text for students of engineering, B.E/B.Tech (in specific mechanical, production, and industrial engineering), mathematics, statistics, and postgraduate students of management (MBA), industrial engineering and production engineering, data analytics, commerce, and computer applications (MCA).
Publisher: PHI Learning Pvt. Ltd.
ISBN: 9354438296
Category : Business & Economics
Languages : en
Pages : 642
Book Description
The third edition of this well-organized and comprehensive text continues to provide an in-depth coverage of the theory and applications of operations research. It emphasizes the role of operations research not only as an effective decision-making tool, but also as an essential productivity improvement tool to deal with real-world management problems. In the growing field of analytics, this text serves to have thorough understanding of the Operations Models that form constituents of the model base, which is a component of Decision Support System. This edition includes new carefully designed numerical examples that help in understanding complex mathematical concepts better. The book is an easy read, explaining the basics of operations research and discussing various optimization techniques such as • Overview of operations research • Queuing theory • Linear programming • Project management • Transportation problem • Decision theory • Assignment problem • Game theory • Network techniques • Production scheduling • Integer programming • Goal programming • Inventory control • Parametric linear programming • Dynamic programming • Nonlinear programming NEW TO THIS EDITION • Inclusion of more mathematical models in Chapter 2. • Incorporation of case studies in all the chapters to test the understanding, analysis, and provision solution for implementation of the concerned Operation Research techniques. • Introduction of a topic on ABC analysis in Chapter 7. • Access to Multiple Choice Questions with keys for each of the chapters as online resource materials. Visit: https://www.phindia.com/Operations_research_panneerselvam This book, with numerous pedagogical features, would be eminently suitable as a text for students of engineering, B.E/B.Tech (in specific mechanical, production, and industrial engineering), mathematics, statistics, and postgraduate students of management (MBA), industrial engineering and production engineering, data analytics, commerce, and computer applications (MCA).
Student's Guide to Operations Research
Author: Paul A. Jensen
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 520
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 520
Book Description
Operations Research: Introduction To Models And Methods
Author: Richard Johannes Boucherie
Publisher: World Scientific
ISBN: 9811239363
Category : Mathematics
Languages : en
Pages : 512
Book Description
This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.
Publisher: World Scientific
ISBN: 9811239363
Category : Mathematics
Languages : en
Pages : 512
Book Description
This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.
Operations Research Problems
Author: Raúl Poler
Publisher: Springer Science & Business Media
ISBN: 1447155777
Category : Technology & Engineering
Languages : en
Pages : 433
Book Description
The objective of this book is to provide a valuable compendium of problems as a reference for undergraduate and graduate students, faculty, researchers and practitioners of operations research and management science. These problems can serve as a basis for the development or study of assignments and exams. Also, they can be useful as a guide for the first stage of the model formulation, i.e. the definition of a problem. The book is divided into 11 chapters that address the following topics: Linear programming, integer programming, non linear programming, network modeling, inventory theory, queue theory, tree decision, game theory, dynamic programming and markov processes. Readers are going to find a considerable number of statements of operations research applications for management decision-making. The solutions of these problems are provided in a concise way although all topics start with a more developed resolution. The proposed problems are based on the research experience of the authors in real-world companies so much as on the teaching experience of the authors in order to develop exam problems for industrial engineering and business administration studies.
Publisher: Springer Science & Business Media
ISBN: 1447155777
Category : Technology & Engineering
Languages : en
Pages : 433
Book Description
The objective of this book is to provide a valuable compendium of problems as a reference for undergraduate and graduate students, faculty, researchers and practitioners of operations research and management science. These problems can serve as a basis for the development or study of assignments and exams. Also, they can be useful as a guide for the first stage of the model formulation, i.e. the definition of a problem. The book is divided into 11 chapters that address the following topics: Linear programming, integer programming, non linear programming, network modeling, inventory theory, queue theory, tree decision, game theory, dynamic programming and markov processes. Readers are going to find a considerable number of statements of operations research applications for management decision-making. The solutions of these problems are provided in a concise way although all topics start with a more developed resolution. The proposed problems are based on the research experience of the authors in real-world companies so much as on the teaching experience of the authors in order to develop exam problems for industrial engineering and business administration studies.
Optimal Decision Making in Operations Research and Statistics
Author: Irfan Ali
Publisher: CRC Press
ISBN: 1000404722
Category : Business & Economics
Languages : en
Pages : 434
Book Description
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decisionmaking problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.
Publisher: CRC Press
ISBN: 1000404722
Category : Business & Economics
Languages : en
Pages : 434
Book Description
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decisionmaking problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.
Column Generation
Author: Guy Desaulniers
Publisher: Springer Science & Business Media
ISBN: 0387254862
Category : Business & Economics
Languages : en
Pages : 369
Book Description
Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on "Shortest Path Problems with Resource Constraints," "Vehicle Routing Problem with Time Window," "Branch-and-Price Heuristics," "Cutting Stock Problems," each dealing with methodological aspects of the field. Three chapters deal with transportation applications: "Large-scale Models in the Airline Industry," "Robust Inventory Ship Routing by Column Generation," and "Ship Scheduling with Recurring Visits and Visit Separation Requirements." Production is the focus of another three chapters: "Combining Column Generation and Lagrangian Relaxation," "Dantzig-Wolfe Decomposition for Job Shop Scheduling," and "Applying Column Generation to Machine Scheduling." The final chapter by François Vanderbeck, "Implementing Mixed Integer Column Generation," reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).
Publisher: Springer Science & Business Media
ISBN: 0387254862
Category : Business & Economics
Languages : en
Pages : 369
Book Description
Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on "Shortest Path Problems with Resource Constraints," "Vehicle Routing Problem with Time Window," "Branch-and-Price Heuristics," "Cutting Stock Problems," each dealing with methodological aspects of the field. Three chapters deal with transportation applications: "Large-scale Models in the Airline Industry," "Robust Inventory Ship Routing by Column Generation," and "Ship Scheduling with Recurring Visits and Visit Separation Requirements." Production is the focus of another three chapters: "Combining Column Generation and Lagrangian Relaxation," "Dantzig-Wolfe Decomposition for Job Shop Scheduling," and "Applying Column Generation to Machine Scheduling." The final chapter by François Vanderbeck, "Implementing Mixed Integer Column Generation," reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).
Operations Research
Author: Himanshu
Publisher: Scientific e-Resources
ISBN: 1839472081
Category :
Languages : en
Pages : 309
Book Description
Operations research encompasses a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency. Some of the tools used by operations researchers are statistics, optimization, probability theory, queuing theory, game theory, graph theory, decision analysis, mathematical modeling and simulation. An Information System is any combination of information technology and people's activities using that technology to support operations, management, and decision-making. In a very broad sense, the term information system is frequently used to refer to the interaction between people, algorithmic processes, data and technology. Operations Research is the scientific study of logistic networks to provide for decision support at all levels in order to optimize production and distribution of the commodity flows. Nowadays, these logistic networks have become very large and may range over several countries, while the demands for quality of service have grown similarly to ever higher standards. Generally one agrees that to maintain such large networks successfully, one needs the control of all the information flows through the network, that is, continuous information on the status of the resources. Operations research is an interdisciplinary branch of applied mathematics and formal science that uses advanced analytical methods such as mathematical modeling, statistical analysis, and mathematical optimization to arrive at optimal or near-optimal solutions to complex decision-making problems. It is often concerned with determining the maximum or minimum of some real-world objective. The book of operations management features the latest concepts and applications while not losing focus on the core concepts that has made this text a market leader.
Publisher: Scientific e-Resources
ISBN: 1839472081
Category :
Languages : en
Pages : 309
Book Description
Operations research encompasses a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency. Some of the tools used by operations researchers are statistics, optimization, probability theory, queuing theory, game theory, graph theory, decision analysis, mathematical modeling and simulation. An Information System is any combination of information technology and people's activities using that technology to support operations, management, and decision-making. In a very broad sense, the term information system is frequently used to refer to the interaction between people, algorithmic processes, data and technology. Operations Research is the scientific study of logistic networks to provide for decision support at all levels in order to optimize production and distribution of the commodity flows. Nowadays, these logistic networks have become very large and may range over several countries, while the demands for quality of service have grown similarly to ever higher standards. Generally one agrees that to maintain such large networks successfully, one needs the control of all the information flows through the network, that is, continuous information on the status of the resources. Operations research is an interdisciplinary branch of applied mathematics and formal science that uses advanced analytical methods such as mathematical modeling, statistical analysis, and mathematical optimization to arrive at optimal or near-optimal solutions to complex decision-making problems. It is often concerned with determining the maximum or minimum of some real-world objective. The book of operations management features the latest concepts and applications while not losing focus on the core concepts that has made this text a market leader.
Operations Research and Big Data
Author: Ana Paula Ferreira Dias Barbosa Póvoa
Publisher: Springer
ISBN: 3319241540
Category : Technology & Engineering
Languages : en
Pages : 255
Book Description
The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources. The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR.
Publisher: Springer
ISBN: 3319241540
Category : Technology & Engineering
Languages : en
Pages : 255
Book Description
The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources. The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR.