LEADER 04325nam  22006375  450 
001 996418202103316
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010   $a981-15-4462-X
024 7 $a10.1007/978-981-15-4462-0
035   $a(CKB)5280000000218664
035   $a(MiAaPQ)EBC6216602
035   $a(DE-He213)978-981-15-4462-0
035   $a(PPN)248594095
035   $a(EXLCZ)995280000000218664
100   $a20200601d2020      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aQuantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System$b[electronic resource] /$fby Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (291 pages)
311   $a981-15-4461-1 
327   $aIntroduction -- Quantitative analysis of real-time access to energy consumption information -- Energy consumption integration model for discrete manufacturing systems -- Construction of energy efficiency quantitative index system for discrete manufacturing system -- Combined energy efficiency quantitative analysis based on rough Set and analytic hierarchy process -- Energy efficiency quantitative analysis based on principal component analysis -- Design and development of quantitative analysis systems -- Energy saving optimization control of single machine equipment -- Integrated Energy Efficiency Optimization Control Based on RWA-MOPSO -- Production energy efficiency optimization control based on teaching and learning algorithm.
330   $aThis book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.
606   $aSystem theory
606   $aManufactures
606   $aEnergy policy
606   $aEnergy and state
606   $aMathematical optimization
606   $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070
606   $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050
606   $aEnergy Policy, Economics and Management$3https://scigraph.springernature.com/ontologies/product-market-codes/112000
606   $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008
615  0$aSystem theory.
615  0$aManufactures.
615  0$aEnergy policy.
615  0$aEnergy and state.
615  0$aMathematical optimization.
615 14$aSystems Theory, Control.
615 24$aManufacturing, Machines, Tools, Processes.
615 24$aEnergy Policy, Economics and Management.
615 24$aOptimization.
676   $a333.7965
700   $aWang$b Yan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0554895
702   $aLiu$b Cheng-Lin$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aJi$b Zhi-Cheng$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996418202103316
996   $aQuantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System$92359376
997   $aUNISA