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Volume 1 presents successively an introduction followed by 10 chapters and a conclusion: A logistic approach an overview of operations research The basics of graph theory calculating optimal routes Dynamic programming planning and scheduling with PERT and MPM the waves of calculations in a network spanning trees and touring linear programming modeling of road traffic
Volume 2 begins with an introduction and 4 chapters implementing software tools on cases of practical applications and it ends with a conclusion: The various tools used in this volume Operational research with a spreadsheet Dashboards with spreadsheets and pivot tables Scheduling and planning with a project manager The traffic simulation The conclusion shows the new features that are expected to emerge on spreadsheets as well as project managers, developments and convergences between traffic simulators and new infrastructure that are emerging on road networks. Annex 1 focuses on the installation Solver in Microsoft Excel and Annex 2 focuses on the installation of the Java Development Kit.
Volume 3 begins with an introduction to which are added four chapters focused on modeling and flow simulation in an environment in 2 or 3 dimensions (2D or 3D). They deal with different cases taken from situations found in the field. A conclusion comes close this third book: The different software used in this third volume Computer simulation of discrete flows Mixed flow simulation Flows in 3D and the evacuation simulation Flows in 3D for conveying and storage The conclusion discusses the future developments of the software and their integration into society. At the end of each volume is a bibliography and a list of web links. There is also a glossary explaining some abbreviations, acronyms and some very specific terminology of logistics and operations research.
“Simulation-based Case Studies in Logistics” presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics. “Simulation-based Case Studies in Logistics” is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.
With a turnover of some 5-15 billion € / year, the additive manufacturing has industrial niches bearers thanks to processes and materials more and more optimized. While some niches still exist on the application of additive techniques in traditional fields (from jewelery to food for example), several trends emerge, using new concepts: collective production, realization of objects at once (without addition Of material), micro-fluidic, 4D printing exploiting programmable materials and materials, bio-printing, etc. There are both opportunities for new markets, promises not envisaged less than 10 years ago, but difficulties in reaching them.
Interoperability of enterprises is one of the main requirements for economical and industrial collaborative networks. Enterprise interoperability (EI) is based on the three domains: architectures and platforms, ontologies and enterprise modeling. This book presents the EI vision of the “Grand Sud-Ouest” pole (PGSO) of the European International Virtual Laboratory for Enterprise Interoperability (INTEROP-VLab). It includes the limitations, concerns and approaches of EI, as well as a proposed framework which aims to define and delimit the concept of an EI domain. The authors present the basic concepts and principles of decisional interoperability as well as concept and techniques for interoperability measurement. The use of these previous concepts in a healthcare ecosystem and in an extended administration is also presented.
Who hasn’t dreamed of seeing matter transformed in a way that suits you? This is the goal of 4D printing, using materials that can change in terms of shape and property under the effect of energy stimulation. From the description of the actions and actuators, the authors show the weaknesses that limit the industrialization of 4D printing processes; these are the modes of energy stimulation. To prepare for the future, two chapters are introduced: “Material-Process Duality in Industrial 4D Printing” and “How to Approach 4D Printing in Design”. If the capture and reuse of 4D printing knowledge is necessary for this objective, the conclusion leaves the existing myth around the 4D printing theme and proposes a “draft” roadmap that should be the subject of reflection and scientific debate on a concept that is still immature, but full of promise.
This book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.
Our transition towards a cleaner and more sustainable future has seen an increase in the use of electrical energy in the functioning of our society. This implies the need to develop tools and methods which allow us to study electromagnetic devices and ensure their functioning for as long as possible. This requires us to use these tools to understand their behavior, not just as one component, but also in the entire systems in which they can be found, throughout their life cycle. This book provides electrical engineering students and researchers with the resources to analyze how synchronous machines behave over their entire field of operation, particularly focusing on hybrid excited synchronous machines (HESMs). The field of HESMs, although not a fundamental problem in the strict sense of the term, provides answers to a range of fundamental problems: the flux weakening of permanent magnet machines, energy optimization, and lastly the increasing costs of rare-earths permanent magnets.
The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling. The application to system reliability assessment illustrates the concept. In the second part, evidential networks as a new tool to model uncertainty in reliability and risk analysis is proposed and described. Then it is applied on SIS performance assessment and in risk analysis of a heat sink. In the third part, Bayesian and evidential networks are used to deal with important measures evaluation in the context of uncertainties.