000 04413nam a22004815i 4500
001 978-0-387-23581-3
003 DE-He213
005 20250710083929.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 _a9780387235813
_a99780387235813
024 7 _a10.1007/b101812
_2doi
082 0 4 _a519.6
_223
100 1 _aDolgui, Alexandre.
_eeditor.
245 1 0 _aSupply Chain Optimisation
_h[recurso electrónico] :
_bProduct/Process Design, Facility Location and Flow Control /
_cedited by Alexandre Dolgui, Jerzy Soldek, Oleg Zaikin.
264 1 _aBoston, MA :
_bSpringer US,
_c2005.
300 _aXVI, 289 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aApplied Optimization,
_x1384-6485 ;
_v94
505 0 _aModelling Techniques -- An Initiative for International Consensus on Enterprise Inter- and Intra-Organisational Integration -- Towards Knowledge Logistics in Agile SME Networks -- A Modelling Framework for Human Resource-Based Business Processes -- Managing Service-Sensitive Demand Through Simulation -- Robust Modeling of Consumer Behaviour -- Sizing, Cycle Time and Plant Control Using Dioid Algebra -- Concurrent Processes Flow Prototyping -- Modelling of the Supply Chain for a Distributed Publishing Enterprise -- Optimisation Methods -- Hybrid Methods for Line Balancing Problems -- Stability of Optimal Line Balance with Given Station Set -- Simple Plant Location Problem with Reverse Flows -- Concave Cost Supply Management for Single Manufacturing Unit -- Product Family and Supply Chain Design -- Sales and Operations Planning Optimisation -- Response Surface-Based Simulation Metamodelling Methods -- Decision Aid Tools -- A Modeling and Simulation Framework for Supply Chain Design -- Internet Web-Based Integration of Process and Manufacturing Resources Planning -- Visual Representation of Material Flows in Chemical Plant Systems -- Identification-Based Condition Monitoring of Technical Systems -- Simulation of Distributed Industrial Systems.
520 _aThis volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisation problems taking into account supply chain paradigms, which create a pivotal idea to increase the productivity of modern production systems. The first part of the book presents a set of modelling techniques taking into account the enterprise integration problem, the knowledge management in the SME networks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and management which are based on mathematical programming and metaheuristics. The third part of this book deals with some examples of advanced applied decision aid tools directly linked to real industrial problems. Audience This volume is suitable for industrial engineers, faculty staff and graduate students in industrial engineering, management science, operations research, artificial intelligence and computer sciences. This book can be used as a reference for graduate courses and also for researchers and industrial engineers to capture current trends in this field.
650 0 _aMATHEMATICS.
650 0 _aCOMBINATORICS.
650 0 _aMATHEMATICAL OPTIMIZATION.
650 0 _aOPERATIONS RESEARCH.
650 1 4 _aMATHEMATICS.
650 2 4 _aOPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING.
650 2 4 _aOPTIMIZATION.
650 2 4 _aCOMBINATORICS.
700 1 _aSoldek, Jerzy.
_eeditor.
700 1 _aZaikin, Oleg.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387235660
830 0 _aApplied Optimization,
_x1384-6485 ;
_v94
856 4 0 _uhttp://dx.doi.org/10.1007/b101812
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SMA
942 _2ddc
_cER
999 _c56231
_d56231