Optimization and management in manufacturing engineering [Documento electrónico] / Xinbao Liu ... [et al.] : resource collaborative optimization and management through the internet of things
Language: eng.Country: US - United States of America.Publication: Cham : Springer International Publishing, 2017Description: XVIII, 264 p. 14 il.ISBN: 978-3-319-64568-1.Series: Springer optimization and its applicationsSubject - Topical Name: Logística empresarial | Algoritmos Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT | Não Ficção | QA402.SPR FCT 97857 (Browse shelf(Opens below)) | 1 | Available |
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QA402.SPR FCT 95820 Numerical methods for controlled stochastic delay systems | QA402.SPR FCT 96157 Discrete-time linear systems, theory and design with applications | QA402.SPR FCT 96183 Optimization, control, and applications of stochastic systems, in honor of Onésimo Hernández-Lerma | QA402.SPR FCT 97857 Optimization and management in manufacturing engineering, resource collaborative optimization and management through the internet of things | QA402.SPR FCT 98060 Multi-agent optimization, Cetraro, Italy 2014 | QA402.SPR FCT 98301 Machine scheduling to minimize weighted completion times | QA402.2.SPR FCT 82249 Domain decomposition methods in science and engineering XVIII |
Colocação: Online
Problems facing manufacturing clusters that intersect information technology, process management, and optimization within the Internet of Things (IoT) are examined in this book. Recent advances in information technology have transformed the use of resources and data exchange, often leading to management and optimization problems attributable to technology limitations and strong market competition. This book discusses several problems and concepts which makes significant connections in the areas of information sharing, organization management, resource operations, and performance assessment. Geared toward practitioners and researchers, this treatment deepens the understanding between resource collaborative management and advanced information technology. Those in manufacturing will utilize the numerous mathematical models and methods offered to solve practical problems related to cutting stock, supply chain scheduling, and inventory management. Academics and students with a basic knowledge of manufacturing, combinatorics, and linear programming will find that this discussion widens the research area of resource collaborative management and unites the fields of information technology, manufacturing management, and optimization. .
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