The Resource Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods : Volume 2, by R. Venkata Rao, (electronic resource)

Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods : Volume 2, by R. Venkata Rao, (electronic resource)

Label
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods : Volume 2
Title
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods
Title remainder
Volume 2
Statement of responsibility
by R. Venkata Rao
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
Decision 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
Member of
http://library.link/vocab/creatorName
Rao, R. Venkata
Image bit depth
0
LC call number
TA177.4-185
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
Series statement
Springer Series in Advanced Manufacturing,
http://library.link/vocab/subjectName
  • Engineering
  • Engineering economy
  • Machinery
  • Operations research
  • Engineering
  • Engineering Economics, Organization, Logistics, Marketing
  • Manufacturing, Machines, Tools
  • Operation Research/Decision Theory
Label
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods : Volume 2, by R. Venkata Rao, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. 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
Dimensions
unknown
Extent
XIII, 292 p. 11 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781447143758
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4471-4375-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4471-4375-8
Label
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods : Volume 2, by R. Venkata Rao, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. 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
Dimensions
unknown
Extent
XIII, 292 p. 11 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9781447143758
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4471-4375-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4471-4375-8

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