For close to 20 years, Industrial Engineering and Production Management has been a successful text for students of Mechanical, Production and Industrial Engineering while also being equally helpful for students of other courses including Management. Divided in 5 parts and 52 chapters, the text combines theory with examples to provide in-depth coverage of the subject.
These are the proceedings of the International Conference on Engineering Science and Production Management, 16th 17th April 2015, Tatransktrba, High Tatras Mountains - Slovak Republic . The proceedings contain articles focusing on:- Production Management, Logistics- Industrial development, sustainable production- Planning, management and pr
Principles of Economics and Management for Manufacturing Engineering combines key engineering economics principles and applications in one easy to use reference. Engineers, including design, mechanical, and manufacturing engineers are frequently involved in economics-related decisions, whether directly when selecting materials or indirectly when managers make order quantity decisions based on their work. Having a knowledge of the management and economic activities that touch on engineering work is a core part of most foundational engineering qualifications and becomes even more important in industry. Covering a wide range of management and economic topics from the point-of-view of an engineer in industry, this reference provides everything needed to understand the commercial context of engineering work. - Covers the full range of basic economic concepts as well as engineering economics topics - Includes end of chapter questions and chapter summaries that make this an ideal self-study resource - Provides step-by-step instructions for cost accounting for engineers
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
This book includes research studies, novel theory, as well as new methodology and applications in mathematics and management sciences. The book will provide a comprehensive range of mathematics applied to engineering areas for different tasks. It will offer an international perspective and a bridge between classical theory and new methodology in many areas, along with real-life applications. Features Offers solutions to multi-objective transportation problem under cost reliability using utility function Presents optimization techniques to support eco-efficiency assessment in manufacturing processes Covers distance-based function approach for optimal design of engineering processes with multiple quality characteristics Provides discrete time sliding mode control for non-linear networked control systems Discusses second law of thermodynamics as instruments for optimizing fluid dynamic systems and aerodynamic systems
Computational Methods and Production Engineering: Research and Development is an original book publishing refereed, high quality articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation and the relationship between computational methods and production engineering are presented. Contents include: Finite Element method (FEM) modeling/simulation; Artificial neural networks (ANNs); Genetic algorithms; Evolutionary computation; Fuzzy logic; neuro-fuzzy systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems. As computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization and computer-aided process planning, this book is an ideal resource for practitioners. - Presents cutting-edge computational methods for production engineering - Explores the relationship between applied computational methods and production engineering - Presents new innovations in the field - Edited by a key researcher in the field
Green Production Engineering and Management is an interdisciplinary collection of the latest advances from academia and industry on the management of production engineering in a green and responsible way. Background theory, methods, tools and techniques, and case study examples are all combined to make a complete guide for researchers, engineers, and managers. The interdisciplinary approach taken by this book allows a holistic understanding of a complex problem, helping readers with management backgrounds to better appreciate production engineering issues and vice versa. Themes such as social responsibility, green manufacturing, and productivity management are all tackled together, helping the reader see how they are all linked in the industrial environment, and how new advances in one field could lead to benefits in others. Through the interdisciplinary exchange of principles, strategies, models, methodologies, and applications, this book hopes to uncover new ways to manage, think, and understand organizations, making them more strategic and competitive in the markets where they are or which they seek to occupy in the near future. - Includes case studies from industry, illustrating how the advances discussed can be applied in the real world. - Covers the environmental regulations relevant to green production and will help readers find better ways to meet them. - Draws on research from several different disciplines to help readers discover innovative solutions to complex problems.
Production Systems Engineering (PSE) is an emerging branch of Engineering intended to uncover fundamental principles of production systems and utilize them for analysis, continuous improvement, and design. This volume is the first ever textbook devoted exclusively to PSE. It is intended for senior undergraduate and first year graduate students interested in manufacturing. The development is first principle-based rather than recipe-based. The only prerequisite is elementary Probability Theory; however, all necessary probability facts are reviewed in an introductory chapter. Using a system-theoretic approach, this textbook provides analytical solutions for the following problems: mathematical modeling of production systems, performance analysis, constrained improvability, bottleneck identification and elimination, lean buffer design, product quality, customer demand satisfaction, transient behavior, and system-theoretic properties. Numerous case studies are presented. In addition, the so-called PSE Toolbox, which implements the algorithms developed, is described. The volume includes numerous case studies and problems for homework assignment.
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.
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.
