Industrial engineering originated in the United States, and although the popularity of this discipline has grown worldwide, there is still little information available outside of the US regarding its practical use and application. Industrial Engineering Non-Traditional Applications in International Settings raises the bar and examines industrial engineering from a global perspective. Representing the best papers from the International Institute of Industrial Engineers (IIIE) conference held in Istanbul in June 2013, and developed by contributors from at least six different countries, this material lends their expertise on the international impact of industrial engineering applications and provides a thorough understanding of the subject. Focusing on two key aspects of the industrial engineering (IE) discipline, non-traditional settings and international environments, the book introduces applications and incorporates case studies illustrating how IE-based tools and techniques have been applied to diverse environments around the world. Each chapter represents a novel application of industrial tools and techniques. In addition, the authors highlight some of the more exciting developments and implementations of industrial engineering. The book enables both students and practitioners to learn from universal best practices and observe the international growth of the discipline. Consisting of ten chapters, this groundbreaking work includes content that: Presents applications in the area of natural resource development, or more specifically open-pit mining, to optimize the extraction sequence of blocks—an operation that can have a major impact on mining profitability Studies disasters and details where to best locate sites for disaster waste procession (multiobjective optimization is used to identify site locations and provide solution guidance) Examines factors affecting buying patterns and behaviors at private shopping clubs (Turkey is used as a benchmark and a technology acceptance model is used to study the buying behavior) Explores optimization methods that can be used to increase the effectiveness of the timing of traffic signals Discusses the Turkish banking sector and the measurement of efficiency of its banks (a topic that greatly impacts the emerging financial market) Applies quantitative models to study 29 commercial banks and 12 investment banks Industrial Engineering Non-Traditional Applications in International Settings explores the globalization of this expanding discipline and serves as a guide to industry professionals including systems, industrials, manufacturing engineers, design, production, environmental, and Lean Six Sigma engineers, and is also relevant to applied ergonomics, business scm, business logistics, and business operations management.

This book covers supply chain and logistics, production and manufacturing systems as well as human factors. Topics such as applications to procurements from suppliers, suppliers developments and relationships with suppliers are reported. The techniques and tools applied to production processes, such as, machinery maintenance and quick changeover, are described in detail. The book also presents human factors as the main component in the industrial engineering field, reporting some successful teamwork organizations for improvements and applied ergonomics, among others.

Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.

From their initial focus in manufacturing, the industrial engineering principles, tools, and techniques have spread across a spectrum of application areas. Topics covered in this book apply to this continuum of application, including operations planning, safety, quality, production control, inventory management, operations research, supply chain management, and continuous improvement. This edited book comes at an opportune time. It incorporates new knowledge and expertise in a rapidly changing engineering discipline that is a vital force in a wide range of manufacturing, service, educational, and government organizations. Such concepts as lean systems, sustainability, systems thinking, data analytics, and additive manufacturing, as well as utilization of advanced computer software, have further expanded industrial engineering's breadth. Each chapter reflects important aspects of these advances.

The second volume of a three-volume series on global logistics management, this book focuses on recent developments and implementations of operations research techniques on selected logistic problems in emerging countries. The book covers topics ranging from quality management in pharmaceutical supply chains to risk analysis of maritime ports and i

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.

Industrial Engineering: Management, Tools, and Applications, Three Volume Set provides innovation applications and case studies that are drawn from multiple countries. The chapters in the books represent the best papers from the International Institute of Industrial Engineering (IIIE) Conference held in Istanbul in June 2013, sponsored by the II