Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or...
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| Format: | Online |
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| Jezik: | angleščina |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online dostop: | ONIX_20220706_9783036545097_83 |
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| _version_ | 1869529751167696896 |
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| collection | Directory of Open Access Books |
| description | This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book. |
| format | Online |
| id | doab-20.500.12854ir-87488 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-874882024-04-11T15:11:33Z Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems Modrak, Vladimir Soltysova, Zuzana flexible job-shop scheduling problem combinatorial optimization genetic algorithm candidate order-based genetic algorithm multichromosome facility layout optimization metaheuristic algorithm cell formation design of experiments digital platforms decision-making insurance Baltic customization personalization assembly line balancing group technology cluster algorithm bottleneck station output rate tolerance allocation machine and process selection heuristic approach univariate search method whale optimization algorithm selective assembly overrunning clutch assembly harmony search algorithm Hastelloy X turning cutting force surface roughness liquid nitrogen grass-hooper optimization algorithm moth-flame optimization algorithm hybrid bat algorithm optimization problem the distributed assembly permutation flowshop scheduling problem variable neighborhood descent multi-criteria assessment cell manufacturing design operational complexity makespan production line balancing rate electrochemical machining (ECM) material removal rate (MRR) nickel presence (NP) grey wolf optimizer (GWO) moth-flame optimization algorithm (MFO) Monel 400 alloys n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book. 2022-07-06T11:52:07Z 2022-07-06T11:52:07Z 2022 book ONIX_20220706_9783036545097_83 9783036545097 9783036545103 https://directory.doabooks.org/handle/20.500.12854/87488 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5686 https://mdpi.com/books/pdfview/book/5686 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4510-3 10.3390/books978-3-0365-4510-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036545097 9783036545103 200 Basel open access |
| spellingShingle | flexible job-shop scheduling problem combinatorial optimization genetic algorithm candidate order-based genetic algorithm multichromosome facility layout optimization metaheuristic algorithm cell formation design of experiments digital platforms decision-making insurance Baltic customization personalization assembly line balancing group technology cluster algorithm bottleneck station output rate tolerance allocation machine and process selection heuristic approach univariate search method whale optimization algorithm selective assembly overrunning clutch assembly harmony search algorithm Hastelloy X turning cutting force surface roughness liquid nitrogen grass-hooper optimization algorithm moth-flame optimization algorithm hybrid bat algorithm optimization problem the distributed assembly permutation flowshop scheduling problem variable neighborhood descent multi-criteria assessment cell manufacturing design operational complexity makespan production line balancing rate electrochemical machining (ECM) material removal rate (MRR) nickel presence (NP) grey wolf optimizer (GWO) moth-flame optimization algorithm (MFO) Monel 400 alloys n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| title | Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| title_full | Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| title_fullStr | Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| title_full_unstemmed | Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| title_short | Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| title_sort | algorithms and methods for designing and scheduling smart manufacturing systems |
| topic | flexible job-shop scheduling problem combinatorial optimization genetic algorithm candidate order-based genetic algorithm multichromosome facility layout optimization metaheuristic algorithm cell formation design of experiments digital platforms decision-making insurance Baltic customization personalization assembly line balancing group technology cluster algorithm bottleneck station output rate tolerance allocation machine and process selection heuristic approach univariate search method whale optimization algorithm selective assembly overrunning clutch assembly harmony search algorithm Hastelloy X turning cutting force surface roughness liquid nitrogen grass-hooper optimization algorithm moth-flame optimization algorithm hybrid bat algorithm optimization problem the distributed assembly permutation flowshop scheduling problem variable neighborhood descent multi-criteria assessment cell manufacturing design operational complexity makespan production line balancing rate electrochemical machining (ECM) material removal rate (MRR) nickel presence (NP) grey wolf optimizer (GWO) moth-flame optimization algorithm (MFO) Monel 400 alloys n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | flexible job-shop scheduling problem combinatorial optimization genetic algorithm candidate order-based genetic algorithm multichromosome facility layout optimization metaheuristic algorithm cell formation design of experiments digital platforms decision-making insurance Baltic customization personalization assembly line balancing group technology cluster algorithm bottleneck station output rate tolerance allocation machine and process selection heuristic approach univariate search method whale optimization algorithm selective assembly overrunning clutch assembly harmony search algorithm Hastelloy X turning cutting force surface roughness liquid nitrogen grass-hooper optimization algorithm moth-flame optimization algorithm hybrid bat algorithm optimization problem the distributed assembly permutation flowshop scheduling problem variable neighborhood descent multi-criteria assessment cell manufacturing design operational complexity makespan production line balancing rate electrochemical machining (ECM) material removal rate (MRR) nickel presence (NP) grey wolf optimizer (GWO) moth-flame optimization algorithm (MFO) Monel 400 alloys n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20220706_9783036545097_83 |