Industrial Engineering And Operations Management I
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| Author | : João Reis |
| Publisher | : Springer |
| Total Pages | : 271 |
| Release | : 2019-04-16 |
| Genre | : Business & Economics |
| ISBN | : 3030149730 |
Based on the 2018 International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) conference that took place in Lisbon, Portugal, this proceedings volume is the first of two focusing on mathematical applications in digital transformation. The different contributions in this volume explore topics such as health care, social technologies, mathematical programming applications, public transport services, new product development, industry 4.0, occupational safety, quality control, e-services, risk management, and supply chain management. Written by renowned scientists from around the world, this multidisciplinary volume serves as a reference on industrial engineering and operations management and as a source on current findings for researchers and students who focus in business models, digital literacy and technology in education, logistics, production and information systems, and operations management.
| Author | : S.K. Sharma Savita Sharma |
| Publisher | : |
| Total Pages | : 900 |
| Release | : 2009 |
| Genre | : |
| ISBN | : 9788185749136 |
| Author | : Antônio Márcio Tavares Thomé |
| Publisher | : Springer Nature |
| Total Pages | : 633 |
| Release | : 2020-10-29 |
| Genre | : Mathematics |
| ISBN | : 3030569209 |
This volume gathers selected peer-reviewed papers presented at the XXVI International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held on July 8-11, 2020 in Rio de Janeiro, Brazil. The respective chapters address a range of timely topics in industrial engineering, including operations and process management, global operations, managerial economics, data science and stochastic optimization, logistics and supply chain management, quality management, product development, strategy and organizational engineering, knowledge and information management, work and human factors, sustainability, production engineering education, healthcare operations management, disaster management, and more. These topics broadly involve fields like operations, manufacturing, industrial and production engineering, and management. Given its scope, the book offers a valuable resource for those engaged in optimization research, operations research, and practitioners alike.
| Author | : Zoran Anisic |
| Publisher | : Springer Nature |
| Total Pages | : 548 |
| Release | : 2020-03-20 |
| Genre | : Technology & Engineering |
| ISBN | : 3030436160 |
This book presents the conference proceedings of the 25th edition of the International Joint Conference on Industrial Engineering and Operations Management. The conference is organized by 6 institutions (from different countries and continents) that gather a large number of members in the field of operational management, industrial engineering and engineering management. This edition of the conference had the title: THE NEXT GENERATION OF PRODUCTION AND SERVICE SYSTEMS in order to emphasis unpredictable and very changeable future. This conference is aimed to enhance connection between academia and industry and to gather researchers and practitioners specializing in operation management, industrial engineering, engineering management and other related disciplines from around the world.
| Author | : Seyed Iravani |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 862 |
| Release | : 2020-10-16 |
| Genre | : Technology & Engineering |
| ISBN | : 126046184X |
Discover how to apply engineering thinking and data analytics to business operations This comprehensive textbook shows readers how to develop their engineering thinking and analytics to support making strategic and tactical decisions in managing and control of operations systems and supply chains. The book is created in a modular fashion so that sections and chapters can stand alone and be used within operations courses across the spectrum. Operations Engineering and Management: Concepts, Analytics and Principles for Improvement is based on the author’s successful classes in both business and engineering. The book presents concepts and principles of operations management, with a strong emphasis on analytics and a sharp focus on improving operations. You will explore both the engineering approach to operations (e.g., analytics and engineering thinking) and the classic management approach. • Focuses on teaching and developing strong problem-solving analytics skills • Each section is designed to stand alone and can be used in a wide variety of courses • Written by an operations management and engineering expert
| Author | : Elisabeth Viles |
| Publisher | : Springer |
| Total Pages | : 380 |
| Release | : 2017-08-17 |
| Genre | : Technology & Engineering |
| ISBN | : 331958409X |
This book presents the proceedings of the XXII International Conference on Industrial Engineering and Operations Management, International IIE Conference 2016, and International AIM Conference 2016. This joint conference is a result of an agreement between ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), ABEPRO (Associação Brasileira de Engenharia de Produção), AIM (European Academy for Industrial Management) and the IIE (Institute of Industrial Engineers), and took place at TECNUN-School of Engineering (San Sebastián, Spain) from July 13th to 15th, 2016. The book includes the latest research advances and cutting-edge analyses of real case studies in Industrial Engineering and Operations Management from diverse international contexts, while also identifying concrete business applications for the latest findings and innovations in operations management and the decisions sciences.
| Author | : João Reis |
| Publisher | : Springer |
| Total Pages | : 295 |
| Release | : 2019-04-13 |
| Genre | : Business & Economics |
| ISBN | : 3030149692 |
Based on the 2018 International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) conference that took place in Lisbon, Portugal, this proceedings volume is the first of two focusing on mathematical applications in digital transformation. The different contributions in this volume explore topics such as modelling, simulation, logistics, innovation, sustainability, health care, supply chain, lean manufacturing, operations management, quality and digital. Written by renowned scientists from around the world, this multidisciplinary volume serves as a reference on industrial engineering and operations management and as a source on current findings for researchers and students aiming to work on industrial-related problems.
| Author | : Mark S. Daskin |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 193 |
| Release | : 2021-09-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1636392326 |
This text is an introduction to Operations Management. Three themes are woven throughout the book: optimization or trying to do the best we can, managing tradeoffs between conflicting objectives, and dealing with uncertainty. After a brief introduction, the text reviews the fundamentals of probability including commonly used discrete and continuous distributions and functions of a random variable. The next major section, beginning in Chapter 7, examines optimization. The key fundamentals of optimization—inputs, decision variables, objective(s), and constraints—are introduced. Optimization is applied to linear regression, basic inventory modeling, and the newsvendor problem, which incorporates uncertain demand. Linear programming is then introduced. We show that the newsvendor problem can be cast as a network flow linear programming problem. Linear programming is then applied to the problem of redistributing empty rental vehicles (e.g., bicycles) at the end of a day and the problem of assigning students to seminars. Several chapters deal with location models as examples of both simple optimization problems and integer programming problems. The next major section focuses on queueing theory including single-and multi-server queues. This section also introduces a numerical method for solving for key performance metrics for a common class of queueing problems as well as simulation modeling. Finally, the text ends with a discussion of decision theory that again integrates notions of optimization, tradeoffs, and uncertainty analysis. The text is designed for anyone with a modest mathematical background. As such, it should be readily accessible to engineering students, economics, statistics, and mathematics majors, as well as many business students.
| Author | : R. PANNEERSELVAM |
| Publisher | : PHI Learning Pvt. Ltd. |
| Total Pages | : 717 |
| Release | : 2012-03-02 |
| Genre | : Business & Economics |
| ISBN | : 812034555X |
This widely adopted and well-established book, now in its Third Edition, provides the students of management and engineering with the latest techniques in production and operations management, considered so vital for maximizing productivity and profitability in business. What distinguishes the text is a comprehensive coverage of topics such as contract laws, capacity requirement planning, vendor evaluation including AHP method, quality function deployment, and enterprise resource planning. The new topics, which are of current interest, along with the characteristic features and easy-to-read style, would enhance the value of this text. The book is primarily intended as a text for postgraduate students of management, undergraduate students of mechanical engineering and undergraduate and postgraduate students of industrial, and production engineering courses. This profusely illustrated and well-organized text with its fine blend of theory and applications would also be useful for the practicing professionals. NEW TO THIS EDITION : Objective Type Questions at the end of each chapter Additional example problems in Chapters 5 and 17 XYZ, VED, FSN, and SDE analyses Process planning case study in Chapter 2 Case Study Questions in Chapters 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, and 15 Heuristic to minimise total tardiness in single machine scheduling KEY FEATURES : Focuses on productivity related concepts and techniques Provides solved examples at suitable places Includes sufficient tables and diagrams to illustrate the concepts Updates the reader with many efficient and modern algorithms Contains Answers to selected questions and Objective type questions
| Author | : Gerald William Evans |
| Publisher | : CRC Press |
| Total Pages | : 304 |
| Release | : 2016-12-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1498739857 |
This textbook presents methodologies and applications associated with multiple criteria decision analysis (MCDA), especially for those students with an interest in industrial engineering. With respect to methodology, the book covers (1) problem structuring methods; (2) methods for ranking multi-dimensional deterministic outcomes including multiattribute value theory, the analytic hierarchy process, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and outranking techniques; (3) goal programming,; (4) methods for describing preference structures over single and multi-dimensional probabilistic outcomes (e.g., utility functions); (5) decision trees and influence diagrams; (6) methods for determining input probability distributions for decision trees, influence diagrams, and general simulation models; and (7) the use of simulation modeling for decision analysis. This textbook also offers: · Easy to follow descriptions of how to apply a wide variety of MCDA techniques · Specific examples involving multiple objectives and/or uncertainty/risk of interest to industrial engineers · A section on outranking techniques ; this group of techniques, which is popular in Europe, is very rarely mentioned as a methodology for MCDA in the United States · A chapter on simulation as a useful tool for MCDA, including ranking & selection procedures. Such material is rarely covered in courses in decision analysis · Both material review questions and problems at the end of each chapter . Solutions to the exercises are found in the Solutions Manual which will be provided along with PowerPoint slides for each chapter. The methodologies are demonstrated through the use of applications of interest to industrial engineers, including those involving product mix optimization, supplier selection, distribution center location and transportation planning, resource allocation and scheduling of a medical clinic, staffing of a call center, quality control, project management, production and inventory control,and so on. Specifically, industrial engineering problems are structured as classical problems in multiple criteria decision analysis, and the relevant methodologies are demonstrated.
