000 04228nam a22004935i 4500
001 978-1-4471-4375-8
003 DE-He213
005 20140220082805.0
007 cr nn 008mamaa
008 120824s2013 xxk| s |||| 0|eng d
020 _a9781447143758
_9978-1-4471-4375-8
024 7 _a10.1007/978-1-4471-4375-8
_2doi
050 4 _aTA177.4-185
072 7 _aTBC
_2bicssc
072 7 _aKJMV
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a658.5
_223
100 1 _aRao, R. Venkata.
_eauthor.
245 1 0 _aDecision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods
_h[electronic resource] :
_bVolume 2 /
_cby R. Venkata Rao.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXIII, 292 p. 11 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
505 0 _a1. Multiple Attribute Decision Making in the Manufacturing Environment -- 2. Improved Multiple Attribute Decision  Making Methods -- 3. Applications of Improved MADM Methods to the Decision Making Problems of Manufacturing Environment -- 4. A Novel Subjective and Objective Integrated Multiple Attribute Decision Making Method -- 5. A Novel Weighted Euclidean Distance Based Approach -- 6. A Combinatorial Mathematics Based Decision Making Method -- 7. Comparison of Different MADM Methods for Different Decision Making Situations of the Manufacturing Environment -- 8. Concluding Remarks.
520 _aDecision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIšekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker’s subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples.  Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods  a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.
650 0 _aEngineering.
650 0 _aEngineering economy.
650 0 _aMachinery.
650 0 _aOperations research.
650 1 4 _aEngineering.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aManufacturing, Machines, Tools.
650 2 4 _aOperation Research/Decision Theory.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447143741
830 0 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4375-8
912 _aZDB-2-ENG
999 _c94602
_d94602