01006cam0 2200277 450 E60020006277220211011090633.020100409d1975 |||||ita|0103 baitaITGiambattista VicoGaliani, Joyce, Levi-Strauss, Piaget[scritti di] I. Berlin ... [et al.]a cura di Giorgio TagliacozzoRomaArmando1975267 p.22 cmFilosofia e problemi d'oggiLII001LAEC000242732001 *Filosofia e problemi d'oggiLIITagliacozzo, GiorgioA600200052677070Berlin, IsaiahA600200051876070ITUNISOB20211011RICAUNISOBUNISOB100|Coll|11|K40714E600200062772M 102 Monografia moderna SBNM100|Coll|11|K000045Si40714acquistocutoloUNISOBUNISOB20100409080044.020211011090624.0AlfanoGiambattista Vico925934UNISOB03498nam 22005295 450 991033779910332120230918080531.03-658-22939-X10.1007/978-3-658-22939-9(CKB)4100000005248886(DE-He213)978-3-658-22939-9(MiAaPQ)EBC5455222(PPN)229500773(EXLCZ)99410000000524888620180710d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierManagement Approach for Resource-Productive Operations Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma /by Markus Hammer1st ed. 2019.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Gabler,2019.1 online resource (XXV, 258 p. 98 illus.) Industrial Management,2523-38743-658-22938-1 Challenges in Manufacturing in Process Industries -- Impact of Digital Technologies in Manufacturing -- Performance Opportunities with Decision Support Systems -- Achieving Resource-Productive Operations -- Learning from Case Research in the Cement, Ammonia, and Pulp Industry.Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of operations through time-based performance metrics, 4) how operations improvement methods and advanced process control help achieve resource-productive operations and 5) learning from practice based on two empirical case studies. The author conceives, explains, and tests an implementation methodology. The final case study proves that the developed implementation methodology works in practice. Contents Challenges in Manufacturing in Process Industries Impact of Digital Technologies in Manufacturing Performance Opportunities with Decision Support Systems Achieving Resource-Productive Operations Learning from Case Research in the Cement, Ammonia, and Pulp Industry Target Groups Researchers and students in the fields of industrial engineering and operations management Practitioners in the fields of production management, process engineering, and industrial management The Author Markus Hammer is a senior manager of operations learning in a global consulting firm and serves as lecturer at the Institute of Innovation and Industrial Management at Graz University of Technology in Austria.Industrial Management,2523-3874Operations researchProduction managementBusiness information servicesOperations Research and Decision TheoryProduction Business Information SystemsOperations research.Production management.Business information services.Operations Research and Decision Theory.Production .Business Information Systems.658.40301Hammer Markusauthttp://id.loc.gov/vocabulary/relators/aut899926BOOK9910337799103321Management Approach for Resource-Productive Operations2010737UNINA