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 use of coloured petri nets, while at the same time the variability present in systems is integrated in a robust fashion. The book can be used as a concise guide for developing robust models, which are able to efficiently simulate the cause-effect relationships present in complex industrial systems without losing the simulation power of discrete-event simulation. In addition SIMIOs capabilities allows integration of features that are becoming more and more important for the success of projects such as animation, virtual reality, and geographical information systems (GIS). Dr Miguel Mujica Mota is a researcher and lecturer at the Aviation Academy of the Amsterdam University of Applied Sciences in the Netherlands. He was previously the sub director of the aviation studies at the Autonomous University of Barcelona. He holds a PhD and a MSc. in industrial informatics from the Autonomous University of Barcelona and a PhD and MSc. in operations research from the National University of Mexico, all obtained with the highest honors. Dr. Mujica Mota has given several courses in modelling, simulation methodologies and optimization in different countries for industrial and academic audiences. He has participated in several international projects in which simulation and optimization were the key factors for the success of them. Dr. Mujica has been awarded with the Level C of the Mexican Council of Science and Technology where he also participates as a scientific evaluator for Latin America. He is the co-author of two books and numerous papers on simulation, operations research, aviation, manufacturing and logistics. His research interests lie in the use of simulation, modelling formalisms and heuristics for the optimization and performance analysis of aeronautical operations, manufacture and logistics. Miquel Àngel Piera received his MSc (Control Engineering) from the University of Manchester Institute of Technology in 1990 and his PhD degree from the Autonomous University of Barcelona (Spain) in 1994. He participates in industrial research projects in the logistics and manufacturing field and at present he is Co-director of LogiSim, a Modelling and Simulation Institution sponsored and founded by the local government of Catalonia. Recently, he has published a modelling and simulation book that is being used for teaching in many Spanish universities. Dr. Antoni Guasch is a research engineer focusing on modelling, simulation and optimization of dynamic systems, especially continuous and discrete-event simulation of industrial processes. He received his Ph.D. from the UPC in 1987. After a postdoctoral period at the State University of California (USA), he becomes a Professor of the UPC (www.upc.edu ). He is now Professor in the department of Ingeniería de Sistemas, Automática e Informática Industrial in the UPC and head of Simulation and Industrial Optimization at inLab FIB (http://inlab.fib.upc.edu/). Since 1990, Prof Guasch has lead more than 40 industrial projects related with modelling, simulation and optimization of nuclear, textile, transportation, car manufacturing, water, steel, pharmaceutical and banking processes. Dr. Guasch has also been the Scientific Co-ordinator and researcher in 7 scientific projects He has participated in 4 EU projects, with the role of partner leader in two of them. Dr. Guasch currently research projected is related to the development of algorithms for the optimal management of air resources for forest fire containmentDr. Idalia Flores de la Mota received a Master with honors, being awarded the Gabino Barreda Medal for the best average of her generation, in the Faculty of Engineering of the UNAM, where she also obtained her Ph.D. in Operations Research. Dr. Flores is a referee and a member of various Academic
This book introduces a novel approach to discrete optimization, providing both theoretical insights and algorithmic developments that lead to improvements over state-of-the-art technology. The authors present chapters on the use of decision diagrams for combinatorial optimization and constraint programming, with attention to general-purpose solution methods as well as problem-specific techniques. The book will be useful for researchers and practitioners in discrete optimization and constraint programming. Decision Diagrams for Optimization is one of the most exciting developments emerging from constraint programming in recent years. This book is a compelling summary of existing results in this space and a must-read for optimizers around the world. [Pascal Van Hentenryck]
Bachelorarbeit aus dem Jahr 2014 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,3, Hochschule Deggendorf, Sprache: Deutsch, Abstract: Diese Arbeit behandelt das Thema Software Asset Management (SAM). Man kann SAM als Geschäftspraxis bezeichnen, die sich um die Einkaufsoptimierung und Verwaltung, sowie die Bereitstellung, Wartung, Nutzung und der Entsorgung von Software-Anwendungen innerhalb eines Unternehmens kümmert. In dieser Arbeit wird gezeigt, warum der Einsatz von SAM sinnvoll ist und wie Prozesse bei der Einführung von SAM optimiert werden können. Nach einer theoretischen Auseinandersetzung mit dem Thema, wird die Theorie anhand der Microsoft SAM Lösung aufgezeigt. Microsoft unterteilt hierbei ihre SAM Lösung in drei Bereiche: ? Sam Baseline ? SAM Assessment ? SAM Deployment Planning Im SAM Assessment werden die Prozesse aufgezeigt, die in einem Unternehmen implementiert werden sollten, um SAM dauerhaft zu leben. Durch ein SAM-Projekt wird Schritt für Schritt auf die Verbesserung der Prozesse hingearbeitet, da Probleme und Fehlverhalten aufgedeckt werden können. Im SAM - Deployment Planning gilt es dann, die entdeckten Probleme zu besprechen und Lösungen dafür zu finden. Die grundlegendsten Prozesse werden in der Arbeit grafisch dargestellt und analysiert.
Akademische Arbeit aus dem Jahr 2012 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,3, FernUniversität Hagen, Sprache: Deutsch, Abstract: Viele Unternehmen stehen in der Phase des Strategischen Prozessmanagements und damit kurz vor dem nächsten Schritt: der Modellierung von Prozessen. Dabei stellt sich die Frage, mit welcher Modellierungsmethode Prozessmanagement erfolgreich durchgeführt werden kann und wie auf lange Sicht durch Prozessautomatisierung erhöhte Effektivität und Effizienz erlangt werden kann. Dazu wird in Kapitel 1.1 ein Kriterienkatalog aufgestellt, welcher einen Vergleich der Methoden ermöglichen soll. Dann werden im nächsten Kapitel vier Methoden aus der Vielzahl der derzeit am Markt bestehenden Standards ausgewählt. Diese werden anschließend in Kapitel 1.3 beschrieben und durch ein Beispiel visualisiert. Ziel ist, am Ende des Vergleichs in Kapitel 1.4 eine Methode auszuwählen, die Unternehmen innerhalb des Geschäftsprozessmanagements am besten unterstützt.
A brilliant treatment of a knotty problem in computing. This volume contains chapters written by reputable researchers and provides the state of the art in theory and algorithms for the traveling salesman problem (TSP). The book covers all important areas of study on TSP, including polyhedral theory for symmetric and asymmetric TSP, branch and bound, and branch and cut algorithms, probabilistic aspects of TSP, and includes a thorough computational analysis of heuristic and metaheuristic algorithms.
This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include : · Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; · Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints; · Important discussions of decomposition methods for specially structured problems; · A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition. · Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint. From the reviews of the first edition : The book gives a good review of the topic. ... The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it. - Mathematical Methods of Operations Research, 49:3 (1999)
This book presents the proceedings of the XXII International Conference on Industrial Engineering and Operations Management, International IIE Conference 2016, and International AIM Conference 2016. This joint conference is a result of an agreement between ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), ABEPRO (Associação Brasileira de Engenharia de Produção), AIM (European Academy for Industrial Management) and the IIE (Institute of Industrial Engineers), and took place at TECNUN-School of Engineering (San Sebastián, Spain) from July 13th to 15th, 2016. The book includes the latest research advances and cutting-edge analyses of real case studies in Industrial Engineering and Operations Management from diverse international contexts, while also identifying concrete business applications for the latest findings and innovations in operations management and the decisions sciences. Elisabeth Viles holds a PhD from the University of Navarra (Physics Applied Program) and a BA in Mathematics Science from the University of Zaragoza. She is certificated Six Sigma Black Belt. In this moment, she is Associate Professor in Statistics and Probability and Industrial Statistics at TECNUN, Engineering School of the University of Navarra. She also is the head of Industrial Management Department and Industrial Management Degree coordinator in TECNUN. She has been actively conducting and publishing research on applying statistical thinking tools and others continuous improvements methodologies in industry for more than ten years. She is the responsible for the Sustainable Improvement Research Group at TECNUN and she belongs to Statistical Design and Data Analytics Group from University of Navarra. She is conference speaker in different postgraduate courses related to quality management, continuous improvement management, Six Sigma implementation and Black Belts training. She regularly reviews articles from different International Journals. Nowadays she is taking part to the Editorial Advisory Board (EAB) for the TQM Journal. Marta Ormazabal has studied Industrial Engineering at TECNUN, University of Navarra (Spain), where she also received her Ph. D degree in 2013. She is currently teaching Economics and Business and Business Administration and she holds sessions about environmental management. Her research area is focused on environmental management within industrial companies and more specifically on the implementation of Circular Economy in SMEs. She has actively participated in research projects and has published articles in this area. Furthermore, she is a reviewer of articles in several journals of this area. Her research field is quite international, as she has been doing research about environmental management in other countries, such as in the United Kingdom (University of Leeds) and in Portugal (University Nova de Lisboa). Álvaro Lleó is assistant professor of the Industrial Management Department at Tecnun-School of Engineering of the University of Navarra. He teaches Organizational Behavior and Economics and Business in different Undergraduates Degrees and Master Programs. He received his PhD from the Polytechnic University of Valencia, where he also studied Industrial Engineering and Industrial Management. He was Fellow Researcher at the RCC of Harvard University and Visiting Scholar in the CBE of Bentley University. Previously, he worked in different project of the automobile sector and as a human resources consultant. He has actively participated in research projects and has published articles in this area. His research areas are the study of human factor in continuous improvement environment and mentoring in high school. Furthermore, he is a reviewer of articles in several journals.
This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives. The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical programming, dynamic programming, or constraint programming with metaheuristics, reflecting cross-fertilization in fields such as optimization, algorithmics, mathematical modeling, operations research, statistics, and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.
ProzessmanagementTaschenbuchvon Stefan ReinheimerEAN: 9783898645980Einband: Kartoniert / BroschiertAuflage: ´´UK open market´´-ausgabe.Sprache: DeutschSeiten: 128Abbildungen: GrafikenMaße: 239 x 166 x 13 mmRedaktion: Stefan ReinheimerEDV, Informatik, M
Hinrich Schröder und Arno Müller stellen einen Ansatz vor, mit dessen Hilfe die Aufgaben in der Unternehmens-IT analysiert und den Aufgabenträgern zugeordnet werden können. Mögliche Szenarien der sich so ergebenden IT-Organisation werden daraus abgeleitet und situativ beurteilt. Getrieben durch die fortschreitende Digitalisierung ergeben sich völlig neue Anforderungen an die Organisationseinheiten im Unternehmen, die für die Bereitstellung von IT-Services verantwortlich sind. Die zunehmende Komplexität der Aufgabenstellungen erfordert eine veränderte Aufgabenverteilung zwischen der IT-Abteilung, den Fachabteilungen sowie externen Partnern und führt somit zu tiefgreifenden Veränderungen der IT-Organisation. Professor Dr. Hinrich Schröder und Professor Dr. Arno Müller lehren an der NORDAKADEMIE - Hochschule der Wirtschaft. Beide verfügen über langjährige Lehr-, Forschungs- und Beratungserfahrungen in den Bereichen IT- und Prozessmanagement.