000 04056nam a22003855i 4500
001 291809
003 MX-SnUAN
005 20160429154920.0
007 cr nn 008mamaa
008 150903s2006 xxk| o |||| 0|eng d
020 _a9781846282270
_99781846282270
024 7 _a10.1007/1846282276
_2doi
035 _avtls000343749
039 9 _a201509030750
_bVLOAD
_c201404120958
_dVLOAD
_c201404090736
_dVLOAD
_y201402061203
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aT55.4-60.8
100 1 _aCaramia, Massimiliano.
_eautor
_9322252
245 1 0 _aEffective Resource Management in Manufacturing Systems :
_bOptimization Algorithms for Production Planning /
_cby Massimiliano Caramia, Paolo Dell’Olmo.
264 1 _aLondon :
_bSpringer London,
_c2006.
300 _axxii, 216 páginas 78 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
500 _aSpringer eBooks
505 0 _aManufacturing Systems: Trends, Classification, and Behavior Patterns -- On-Line Load Balancing -- Resource Levelling -- Scheduling Jobs in Robotized Cells with Multiple Shared Resources -- Tool Management on Flexible Machines.
520 _aManufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus, classic scheduling approaches are not adequate when (i) a task simultaneously requires a set of different resources and (ii) a trade-off between different objectives (like time, cost and workload balance) should be reached. In such a case, more sophisticated models and algorithms should be brought to the attention of managers and executives of manufacturing companies. Effective Resource Management in Manufacturing Systems aims to provide robust methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns, specifically focusing on problems like resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling. This approach is based on providing quantitative methods, covering both mathematical programming and algorithms, leading to high quality solutions for the analysed problems. Details of extensive experimentation is provided for the proposed techniques to put them in a practical perspective, so that, on the one hand, the reader can reproduce them, and, on the other hand, it appears clear how they can be implemented in real scenarios. This book will be a valuable resource for postgraduate students studying business, engineering or computer science. It will also be of interest to researchers in the fore-mentioned areas. The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aDell’Olmo, Paolo.
_eautor
_9323261
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781846280054
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-84628-227-6
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291809
_d291809