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Simulation-Based Case Studies in Logistics
“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.
ICTE in Transportation and Logistics 2019
This proceedings volume explores the latest advances in transport and logistics, while also discussing the applications of modern information technologies, telecommunications, electronics, and prospective research methods and analyzing their impacts on society and the environment, which in turn determine the future development of these technologies. The book is intended for a broad readership, including transport and logistics business planners and technical experts, leveraging industry knowledge and facilitating technology adoption in promising business regions and transit corridors such as Ukraine, Kazakhstan, and others. The authors, who include policy planners and crafters as well as education and training professionals, address various types of intermodal transport such as rail, road, maritime, air, etc.
Enterprise and Organizational Modeling and Simulation
This book constitutes the proceedings of the 9th International Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2013, held in conjunction with CAiSE 2013 in Valencia, Spain, in June 2013. Tools and methods for modeling and simulation are widely used in enterprise engineering, organizational studies and business process management. In monitoring and evaluating business processes and the interactions of actors in a realistic environment, modeling and simulation have proven to be both powerful, efficient and economic, especially if complemented by animation and gaming elements. The ten contributions in this volume were carefully reviewed and selected from 22 submissions. They explore the above topics, address the underlying challenges find and improve solutions, and show the application of modeling and simulation in the domains of enterprises, their organizations and underlying business processes.
Simulation and Modeling Methodologies, Technologies and Applications
This book highlights a set of selected, revised and extended papers from the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2017), held in Madrid, Spain, on July 26 to 28, 2017. The conference brought together researchers, engineers and practitioners whose work involves methodologies in and applications of modeling and simulation. The papers showcased here represent the very best papers from the Conference, and report on a broad range of new and innovative solutions.
Artificial Intelligence Research and Development
The main scope of this publication is to promote collaborations among research groups in the community and to interchange ideas, allowing researchers to get a quick overview of the state of the art. This volume looks at topics including robotics and computer vision and multiagent systems.
Robust Modelling and Simulation
This book presents for the first time a methodology that combines the power of a modelling formalism such as colored petri nets with the flexibility of a discrete event program such as SIMIO. Industrial practitioners have seen the growth of simulation as a methodology for tacking problems in which variability is the common denominator. Practically all industrial systems, from manufacturing to aviation are considered stochastic systems. Different modelling techniques have been developed as well as mathematical techniques for formalizing the cause-effect relationships in industrial and complex systems. The methodology in this book illustrates how complexity in modelling can be tackled by the u...
Formal Languages for Computer Simulation: Transdisciplinary Models and Applications
Models and simulations are an important first step in developing computer applications to solve real-world problems. However, in order to be truly effective, computer programmers must use formal modeling languages to evaluate these simulations. Formal Languages for Computer Simulation: Transdisciplinary Models and Applications investigates a variety of programming languages used in validating and verifying models in order to assist in their eventual implementation. This book will explore different methods of evaluating and formalizing simulation models, enabling computer and industrial engineers, mathematicians, and students working with computer simulations to thoroughly understand the progression from simulation to product, improving the overall effectiveness of modeling systems.
Recent Advances in Artificial Intelligence Research and Development
Artificial Intelligence (AI) is a scientific field of longstanding tradition, with origins in the early years of computer science. Today AI has reached a level of maturity that allows us to build highly sophisticated systems which perform very different tasks. Nevertheless, its evolution has opened up a number of new problems, ranging from specific algorithms to system integration, which remain elusive and assure a long life for this research field. Research progress in this area is today an international challenge that must be supported by world-class meetings and organizations, but in spite of this fact, there is also an objective need for meetings and organizations that support and disseminate research at other levels. This book focuses on new and original research on Artificial Intelligence.
New Contributions in Information Systems and Technologies
This book contains a selection of articles from The 2015 World Conference on Information Systems and Technologies (WorldCIST'15), held between the 1st and 3rd of April in Funchal, Madeira, Portugal, a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, technological development and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Human-Computer Interaction; Health Informatics; Information Technologies in Education; Information Technologies in Radio communications.
Cómo mejorar la lógistica de su empresa mediantes la simulación
Una de las grandes dificultades en la resolución de los problemas logísticos en la industria estriba en el desconocimiento sobre cuál va a ser el alcance de una decisión; no solo en cuanto a la respuesta esperada, sino también de qué forma afectará indirectamente sobre otros aspectos y parámetros de rendimiento del sistema . El éxito de las técnicas de simulación como herramienta de ayuda a la toma de decisiones en logística, es poder formalizar la experiencia y conocimiento adquirido en la gestión del sistema, para poder discutir, evaluar y prever las mejoras alternativas para alcanzar los objetivos. En este libro se introducen los principales conceptos y características de las herramientas de simulación orientadas a eventos discretos para la mejora de los sistemas de producción, de servicios y logísticos. INDICE RESUMIDO: Introducción y motivación. Qué es un proyecto de simulación? Importancia de los datos. Construcción y funcionamiento de un modelo de simulación basado en un sistema sencillo. Verificación y validación de modelos. Herramientas informáticas para la simulación. Aplicaciones y ejemplos.
