04699nam 2201009z- 450 991058021360332120220706(CKB)5690000000011952(oapen)https://directory.doabooks.org/handle/20.500.12854/87488(oapen)doab87488(EXLCZ)99569000000001195220202207d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAlgorithms and Methods for Designing and Scheduling Smart Manufacturing SystemsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (200 p.)3-0365-4509-3 3-0365-4510-7 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.History of engineering and technologybicsscTechnology: general issuesbicsscassembly line balancingBalticbottleneck stationcandidate order-based genetic algorithmcell formationcell manufacturing designcluster algorithmcombinatorial optimizationcustomizationcutting forcedecision-makingdesign of experimentsdigital platformselectrochemical machining (ECM)facility layoutflexible job-shop scheduling problemgenetic algorithmgrass-hooper optimization algorithmgrey wolf optimizer (GWO)group technologyharmony search algorithmHastelloy Xheuristic approachhybrid bat algorithminsuranceliquid nitrogenmachine and process selectionmakespanmaterial removal rate (MRR)metaheuristic algorithmMonel 400 alloysmoth-flame optimization algorithmmoth-flame optimization algorithm (MFO)multi-criteria assessmentmultichromosomen/anickel presence (NP)operational complexityoptimizationoptimization problemoutput rateoverrunning clutch assemblypersonalizationproduction line balancing rateselective assemblysurface roughnessthe distributed assembly permutation flowshop scheduling problemtolerance allocationturningunivariate search methodvariable neighborhood descentwhale optimization algorithmHistory of engineering and technologyTechnology: general issuesModrak Vladimiredt1297587Soltysova ZuzanaedtModrak VladimirothSoltysova ZuzanaothBOOK9910580213603321Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems3024579UNINA