00965nam a2200253 i 4500991000855369707536100920s2009 it b 000 0dita d9788870885835b13922221-39ule_instDip.to Filologia Class. e Scienze FilosoficheitaitagrcgrcPosidippus :Pellaeus286531Epigrammi /Posidippo di Pella ; traduzione di Valeria Gigante LanzaraNapoli :Bibliopolis,c2009178 p. ;24 cmContiene riferimenti bibliograficiTesto greco a fronteGigante Lanzara, Valeria.b1392222115-03-1120-09-10991000855369707536LE007 880.1 Posidippus 2009-0112007000206805le007LE007 2011 VoxpE20.00-l- 01110.i1524095215-03-11Epigrammi249388UNISALENTOle00720-09-10ma -itait 0003479nam 22006855 450 991104767300332120251121114907.09783032069115(electronic bk.)978303206910810.1007/978-3-032-06911-5(MiAaPQ)EBC32425704(Au-PeEL)EBL32425704(CKB)43658947400041(DE-He213)978-3-032-06911-5(EXLCZ)994365894740004120251121d2026 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Cycle Time Management /by Tin-Chih Toly Chen1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (208 pages)Engineering SeriesPrint version: Chen, Tin-Chih Toly Advances in Cycle Time Management Cham : Springer,c2025 9783032069108 Cycle time management -- Cycle time prediction -- Cycle time modelling and analysis -- Management support -- Cycle time reduction.This book systematically introduces the principles and latest developments in cycle time management. With the rise of artificial intelligence, numerous advanced information technologies, such as Industry 4.0, big data, edge computing, and explainable artificial intelligence, have emerged. Factory engineers are exploring opportunities to apply these technologies to enhance the efficiency and effectiveness of cycle time management. To address this, the book conducts a preliminary investigation and outlines several practical actions that can be implemented. Factories worldwide are striving to reduce cycle times to increase their competitiveness and sustainability. Cycle time modeling and factor analysis are essential prerequisites, followed by accurate cycle time prediction and stringent control measures. Reducing cycle times can offer a competitive advantage in managing customer relationships. The successful strategies for shortening cycle times can also be applied to other product types or factories, a concept known as cycle time learning. All these efforts rely on comprehensive cycle time management activities. This book will be of use to professionals in industry as well as researchers and graduate students.Engineering SeriesIndustrial engineeringProduction engineeringProduction managementBig dataArtificial intelligenceAutomobile industry and tradeIndustrial and Production EngineeringProductionBig DataArtificial IntelligenceAutomotive IndustryIndustrial engineering.Production engineering.Production management.Big data.Artificial intelligence.Automobile industry and trade.Industrial and Production Engineering.Production.Big Data.Artificial Intelligence.Automotive Industry.670Chen Tin-Chih Toly848082MiAaPQMiAaPQMiAaPQ9911047673003321Advances in Cycle Time Management4477846UNINA