Modelling and Simulation for Analysis and Optimisation of Industrial Systems and Logistics
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Modeling, Simulation, and Optimization of Supply Chains
Author: Ciro D'Apice
Publisher: SIAM
Published: 2010-07-01
Total Pages: 209
ISBN-13: 0898717000
DOWNLOAD EBOOKThis book offers a state-of-the-art introduction to the mathematical theory of supply chain networks, focusing on those described by partial differential equations. The authors discuss modeling of complex supply networks as well as their mathematical theory, explore modeling, simulation, and optimization of some of the discussed models, and present analytical and numerical results on optimization problems. Real-world examples are given to demonstrate the applicability of the presented approaches. Graduate students and researchers who are interested in the theory of supply chain networks described by partial differential equations will find this book useful. It can also be used in advanced graduate-level courses on modeling of physical phenomena as well as introductory courses on supply chain theory.
Applied Simulation and Optimization 2
Author: Miguel Mujica Mota
Publisher: Springer
Published: 2017-05-18
Total Pages: 286
ISBN-13: 3319558102
DOWNLOAD EBOOKBuilding on the author’s earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book serves as a comprehensive guide to tackling scheduling, routing problems, resource allocations and other issues in industrial environments, the service industry, production processes, or supply chains and aviation. Logistics, manufacturing and operational problems can either be modelled using optimization techniques or approaches based on simulation methodologies. Optimization techniques have the advantage of performing efficiently when the problems are properly defined, but they are often developed through rigid representations that do not include or accurately represent the stochasticity inherent in real systems. Furthermore, important information is lost during the abstraction process to fit each problem into the optimization technique. On the other hand, simulation approaches possess high description levels, but the optimization is generally performed through sampling of all the possible configurations of the system. The methods explored in this book are of use to researchers and practising engineers in fields ranging from supply chains to the aviation industry.
Process Simulation and Optimization in Sustainable Logistics and Manufacturing
Author: Pawel Pawlewski
Publisher: Springer
Published: 2014-06-12
Total Pages: 182
ISBN-13: 3319073478
DOWNLOAD EBOOKThe aim of this book is to present qualitative aspects of logistics operations and supply chain management which help to implement the sustainable policy principles in the companies and public sector’s institutions. Authors in individual chapters address the issues related to reverse network configuration, forward and reverse supply chain integration, CO2 reduction in transportation, improvement of the production operations and management of the recovery activities. Some best practices from different countries and industries are presented. This book will be valuable to both academics and practitioners wishing to deepen their knowledge in the field of logistics operations and management with regard to sustainability issues.
Simulation of Industrial Systems
Author: David Elizandro
Publisher: Auerbach Publications
Published: 2007-12-19
Total Pages: 536
ISBN-13: 9781420067446
DOWNLOAD EBOOKIn any production environment, discrete event simulation is a powerful tool for the analysis, planning, and operating of a manufacturing facility. Operations managers can use simulation to improve their production systems by eliminating bottlenecks, reducing cycle time and cost, and increasing capacity utilization. Offering a hands-on tutorial on how to model traditional applications to optimize production operations, Simulation of Industrial Systems: Discrete Event Simulation Using Excel/VBA— · Introduces the Design Environment for Event Driven Simulation (DEEDS), an original simulator, which facilitates the modeling of complex situations using four (self-contained) nodes: source, queue, facility, and delay. · Demonstrates how to use discrete event simulation as a powerful tool for the analysis, planning, design, and operation of diverse production systems · Shows how to model application areas such as facilities layout, material handling, inventory control, scheduling, maintenance, quality control, and supply chain logistics · Integrates the design of experiments and optimization techniques for improving production systems With the comprehensive instruction provided within these pages, in combination with the flexibility of the DEEDS program environment, operations managers will be able to harness the power of discrete event simulation to streamline their production environments. The authors have created a website with a variety of teaching aids that professors will be able to access
Designing Innovations in Industrial Logistics Modelling
Author: A. Kusiak
Publisher: CRC Press
Published: 2021-05-31
Total Pages: 294
ISBN-13: 1000446409
DOWNLOAD EBOOKDesigning Innovations in Industrial Logistics Modelling describes practical methods for approaching the task of designing industrial logistics systems. It surveys the development of logistics models and their application in manufacturing to designing, planning, and implementing the movement of supplies, equipment, and products. This text/reference book discusses the combination of operation and production research to obtain solutions for designing and integrating advanced logistics systems. It provides the reader with a set of prescriptive and descriptive models and methods that have been developed exclusively for the purpose of designing, managing, and optimizing the architecture of such advanced systems. The design and application of new tools and methods is presented in such a way that emphasizes the competitiveness of manufacturing industries, and case studies are presented in a manner that demonstrates successful models and methods in advanced industrial logistics systems. In addition, Designing Innovations in Industrial Logistics Modelling explains the various formal tools and methodologies employed in evaluating new programs and covers program management and dynamic evaluation techniques.
Modeling and Simulation in Industrial Engineering
Author: Mangey Ram
Publisher: Springer
Published: 2017-08-11
Total Pages: 226
ISBN-13: 3319604325
DOWNLOAD EBOOKThis book describes the latest research developments in modeling and simulation in industrial engineering. Topics such as decision and performance analysis and industrial control systems are described. Case studies in industry and services as well as engineering economy and cost estimation are also covered.
Simulation for Industry 4.0
Author: Murat M. Gunal
Publisher: Springer
Published: 2019-05-25
Total Pages: 288
ISBN-13: 3030041379
DOWNLOAD EBOOKThe book shows how simulation’s long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.0. The book emphasises the role of simulation in the new industrial revolution, and its application as a key aspect of making Industry 4.0 a reality – and thus achieving the complete digitisation of manufacturing and business. It presents various perspectives on simulation and demonstrates its applications, from augmented or virtual reality to process engineering, and from quantum computing to intelligent management. Simulation for Industry 4.0 is a guide and milestone for the simulation community, as well as those readers working to achieve the goals of Industry 4.0. The connections between simulation and Industry 4.0 drawn here will be of interest not only to beginners, but also to practitioners and researchers as a point of departure in the subject, and as a guide for new lines of study.
Simulation Modeling and Arena
Author: Manuel D. Rossetti
Publisher: John Wiley & Sons
Published: 2015-06-22
Total Pages: 746
ISBN-13: 1118607910
DOWNLOAD EBOOKEmphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.
Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains
Author: J. George Shanthikumar
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 413
ISBN-13: 1461503736
DOWNLOAD EBOOKThis volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.
