000 03849cam a2200673Ii 4500
001 on1023575388
003 OCoLC
005 20220711203244.0
006 m o d
007 cr cnu|||unuuu
008 180219s2018 enk ob 001 0 eng d
040 _aN$T
_beng
_erda
_epn
_cN$T
_dN$T
_dDG1
_dOCLCF
_dRECBK
_dMERER
_dOCLCQ
_dUAB
_dOCLCQ
_dUPM
_dYDX
_dOCLCQ
_dNLE
019 _a1023740453
020 _a9781119510611
_q(electronic bk.)
020 _a1119510619
_q(electronic bk.)
020 _a9781119476566
_q(electronic bk. ;
_qoBook)
020 _a1119476569
_q(electronic bk. ;
_qoBook)
020 _z9781848219557
020 _z1848219555
029 1 _aAU@
_b000061924094
029 1 _aCHVBK
_b516428292
029 1 _aCHNEW
_b001003151
035 _a(OCoLC)1023575388
_z(OCoLC)1023740453
050 4 _aHD31.2
072 7 _aBUS
_x082000
_2bisacsh
072 7 _aBUS
_x041000
_2bisacsh
072 7 _aBUS
_x042000
_2bisacsh
072 7 _aBUS
_x085000
_2bisacsh
082 0 4 _a658
_223
049 _aMAIN
100 1 _aBerrah, Lamia,
_eautor.
_95846
245 1 0 _aIndustrial objectives and industrial performance :
_bconcepts and fuzzy handling /
_cLamia Berrah, Vincent Clivillé, Laurent Foulloy.
264 1 _aLondon :
_bISTE,
_c2018.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSystems and industrial engineering series
505 0 _aThe Industrial System -- Industrial Objectives: The Variable -- Industrial Objectives: The Value -- Industrial Objectives: A Fuzzy Formalization to Move from Natural Language to Numbers -- Industrial Objectives: Outlining Performance Expression -- Industrial Objectives: Computation of Performance Expression of the Desire-Objective -- Industrial Objectives: Computation of the Performance Expression of the Requirement-Objective.
504 _aIncludes bibliographical references and index.
588 0 _aVendor-supplied metadata.
520 _aThis book aims to provide a synthesis of work and ideas done by our team over the last fifteen years in the field of information processing for expression of industrial performance. The statement of objectives on the one hand and the calculation of the other performances are discussed, with the search for the explanation of the link between these two basic steps of an industrial improvement. Beyond the synthetic and typological character of this study, the originality of this work lies in the consideration of the temporal dimension of the objectives, and spread on performance expressions. A fuzzy processing and multi-criteria aggregations time information that can be quantitative, qualitative or symbolic are proposed, in line with industrial practice and literature in the field of performance management.
650 0 _aIndustrial management.
_95847
650 0 _aFuzzy decision making.
_95848
650 7 _aBUSINESS & ECONOMICS
_xIndustrial Management.
_2bisacsh
_95455
650 7 _aBUSINESS & ECONOMICS
_xManagement.
_2bisacsh
_95456
650 7 _aBUSINESS & ECONOMICS
_xManagement Science.
_2bisacsh
_95457
650 7 _aBUSINESS & ECONOMICS
_xOrganizational Behavior.
_2bisacsh
_95458
650 7 _aFuzzy decision making.
_2fast
_0(OCoLC)fst00936802
_95848
650 7 _aIndustrial management.
_2fast
_0(OCoLC)fst00971246
_95847
655 4 _aElectronic books.
_93294
700 1 _aClivillé, Vincent,
_eauthor.
_95849
700 1 _aFoulloy, L.,
_eauthor.
_95850
776 0 8 _iPrint version:
_aBerrah, Lamia.
_tIndustrial objectives and industrial performance.
_dLondon : ISTE, 2018
_z1848219555
_z9781848219557
_w(OCoLC)1004258579
830 0 _aSystems and industrial engineering series.
_95270
856 4 0 _uhttps://doi.org/10.1002/9781119476566
_zWiley Online Library
942 _cEBK
994 _a92
_bDG1
999 _c68546
_d68546