000 02656nam a22004815i 4500
001 978-3-642-23427-9
003 DE-He213
005 20140220083301.0
007 cr nn 008mamaa
008 120102s2012 gw | s |||| 0|eng d
020 _a9783642234279
_9978-3-642-23427-9
024 7 _a10.1007/978-3-642-23427-9
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aWiesemann, Wolfram.
_eauthor.
245 1 0 _aOptimization of Temporal Networks under Uncertainty
_h[electronic resource] /
_cby Wolfram Wiesemann.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXI, 159p. 42 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computational Management Science,
_x1388-4301 ;
_v11
520 _aMany decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.
650 0 _aEconomics.
650 0 _aMathematical optimization.
650 0 _aEconomics, Mathematical.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aGame Theory/Mathematical Methods.
650 2 4 _aOptimization.
650 2 4 _aOperations Research, Management Science.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642234262
830 0 _aAdvances in Computational Management Science,
_x1388-4301 ;
_v11
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-23427-9
912 _aZDB-2-SBE
999 _c102172
_d102172