Modelling and Simulation for Analysis and Optimisation of Industrial Systems and Logistics
Author:
Publisher:
Published: 2008
Total Pages:
ISBN-13:
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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.
Modelling and Simulation: Analysis, Design and Optimisation of Industrial Systems
Author: Georges Habchi
Publisher:
Published: 2003
Total Pages: 88
ISBN-13:
DOWNLOAD EBOOKDesigning 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.
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.
Optimal Control and Optimization of Stochastic Supply Chain Systems
Author: Dong-Ping Song
Publisher: Springer Science & Business Media
Published: 2012-11-29
Total Pages: 282
ISBN-13: 1447147243
DOWNLOAD EBOOKOptimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and tables are provided, to demonstrate the structural characteristics of the optimal control policies in various stochastic supply chains and to show how to make use of these characteristics to construct easy-to-operate sub-optimal policies. In Part I, a general introduction to stochastic supply chain systems is provided. Analytical models for various stochastic supply chain systems are formulated and analysed in Part II. In Part III the structural knowledge of the optimal control policies obtained in Part II is utilized to construct easy-to-operate sub-optimal control policies for various stochastic supply chain systems accordingly. Finally, Part IV discusses the optimisation of threshold-type control policies and their robustness. A key feature of the book is its tying together of the complex analytical models produced by the requirements of operational practice, and the simple solutions needed for implementation. The analytical models and theoretical analysis propounded in this monograph will be of benefit to academic researchers and graduate students looking at logistics and supply chain management from standpoints in operations research or industrial, manufacturing, or control engineering. The practical tools and solutions and the qualitative insights into the ideas underlying functional supply chain systems will be of similar use to readers from more industrially-based backgrounds.
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.
Dynamic Modelling for Supply Chain Management
Author: Adolfo Crespo Márquez
Publisher: Springer Science & Business Media
Published: 2010-01-29
Total Pages: 297
ISBN-13: 1848826818
DOWNLOAD EBOOK"Dynamic Modelling for Supply Chain Management" discusses how to streamline complex supply chain management by making the most of the growing number of tools available. The reader is introduced to the basic foundations from which to develop intelligent management strategies, as the book characterises the process and framework of modern supply chain management. The author reviews supply chain management concepts and singles out important factors in the management of modern complex production systems. Particular attention is paid to modern simulation modelling tools that can be used to support supply chain planning and control. The book explores the operational and financial impacts of various potential problems, offering a compilation of practical models to help identify solutions. A useful reference on supply chain management, "Dynamic Modelling for Supply Chain Management" will benefit engineers and professionals working in a variety of areas, from supply chain management to product engineering.
Supply Chain Optimisation
Author: Alexandre Dolgui
Publisher: Springer Science & Business Media
Published: 2006-06-18
Total Pages: 293
ISBN-13: 0387235817
DOWNLOAD EBOOKThis volume collects recent results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and advanced computing techniques for design of production systems, supply and inventory management, production planning and scheduling, location, transportation and logistics, and simulation in supply flow optimisation. The text presents a wide spectrum of optimisation problems taking into account supply chain paradigms, which are pivotal to improving productivity.
The Delft Systems Approach
Author: Hans P. M. Veeke
Publisher: Springer Science & Business Media
Published: 2008-05-23
Total Pages: 230
ISBN-13: 1848001770
DOWNLOAD EBOOKThe pace of development in knowledge and know-how in the Organisation Sciences, Logistics and Information Technology is rapid. However, the gap between those who practice these sciences and the practicing manager is becoming larger rather than smaller. The Delft Systems Approach describes a fundamental approach for analysing industrial systems, which emphasizes a concept that can be used by all disciplines involved. It sets out to close the gap between theory and practice.
