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Advances in Production Management Systems
The competitive environment is becoming increasingly more complex and intense. In order to cope, business decisions related to various areas tend to become more interrelated. Firms need to couple their operations strategies to the marketing strategies to best support the competition of their products in the marketplace. The perspectives on production management systems are getting more strategic. A more integrated approach is thus called for, bringing together the various perspectives on production management systems and operations strategy. This relationship is important in any type of operation, perhaps more so in supply chains, production networks and global operations. This book brings together the latest thinking by leading experts, analysts, academics, researchers, and industrial practitioners from around the world who have worked extensively in the area of production management systems and strategies. In the individual chapters of this book, authors put forward their perspectives, approaches, and tools for use in developing and integrating systems and strategies in production management.
Stochastic Modeling of Manufacturing Systems
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
Selected Topics in Manufacturing
This book presents selected contributions on a wide range of scientific and technological areas covered by AITeM (the Italian Association of Manufacturing). It discusses the following topics: additive manufacturing, advanced and unconventional machining and processes, material removal processes, foundry and forming, tools and machine tools, assembly/disassembly, joining materials and material properties, quality metrology and material testing, manufacturing systems engineering, sustainable manufacturing, smart manufacturing and cyber-physical systems, education in manufacturing and human factors, industrial applications. Written by young AITeM associates, the contributions reflect the multifaceted nature of the research in manufacturing, which takes advantage of emergent technologies and establishes interdisciplinary connections with various scientific and technological areas to move beyond simple product fabrication and develop a complex and highly interconnected value creation processes ecosystem pursuing high-value-added products to compete globally.
Eco-Factories of the Future
This edited monograph presents a selection of research contributions on eco-factories of the future. The topical focus lies on cutting-edge solutions from academia and industry that enable and support companies in their efforts towards sustainable manufacturing. The authors provide an overview over recent developments, aiming at a comprehensive understanding of eco- and cost-efficient manufacturing from machine to factory level. The solutions contributed by leading research institutions and companies have been mostly implemented and evaluated in industrial pilot projects across Europe. The methodological approaches cover topics such as factory planning, manufacturing simulation, energy management as well as life cycle evaluation. The target audience comprises industry experts and decision makers as well as researchers in the field of sustainable manufacturing.
Lean Business Systems and Beyond
Lean Manufacturing has proved to be one of the most successful and most powerful production business systems over the last decades. Its application enabled many companies to make a big leap towards better utilization of resources and thus provide better service to the customers through faster response, higher quality and lowered costs. Lean is often described as “eyes for flow and eyes for muda” philosophy. It simply means that value is created only when all the resources flow through the system. If the flow is stopped no value but only costs and time are added, which is muda (Jap. waste). Since the philosophy was born at the Toyota many solutions were tailored for the high volume enviro...
Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications
With contributions from experts from around the world, this handbook aims to systemize the existing experience and knowledge that can be used to the development of more efficient and controlled railway systems. As a result, this handbook showcases the modern methods, methodologies and frameworks for the development of DT and AI architectures and apparatus in the area of the existing railway systems and transport engineering tasks. The chapters cover such varied and specialized topics as the processes related to the transformation of a physical twin into a digital twin; the application of data-driven and physics-based simulation approaches in the development of digital twins; asset management application tasks with the implementation of DT and AI; and the experimental and field applications of the DT and AI concepts and technologies in railway transport system design and predictive maintenance tasks. Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications is essential reading for engineers, practitioners and researchers involved in the development of railway transport and transit systems.
Advanced Decision Making Methods Applied to Health Care
The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-rel...
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