| Vorliegende Sprache |
eng |
| ISBN |
978-1-4471-4374-1 |
| Name |
Rao, R. Venkata |
| T I T E L |
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods |
| Zusatz zum Titel |
Volume 2 |
| Verlagsort |
London |
| Verlag |
Springer |
| Erscheinungsjahr |
2013 |
| 2013 |
| Umfang |
Online-Ressource (XIII, 292 p. 11 illus, digital) |
| Reihe |
Springer Series in Advanced Manufacturing |
| Notiz / Fußnoten |
Description based upon print version of record |
| Weiterer Inhalt |
Decision Makingin the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods; Preface; Contents; 1 Multiple Attribute Decision Making in the Manufacturing Environment; 1.1…Importance of Multiple Attribute Decision Making in the Manufacturing Environment; 1.2…Some Important Decision Making Situations of the Manufacturing Environment; 1.3…Multiple Attribute Decision Making Methods; 1.4…Overview of the Book; References; 2 Improved Multiple Attribute Decision Making Methods; 2.1…Improved Analytic Hierarchy Process Method. 2.1.1 Formulating the Decision Table2.1.2 Deciding Weights of the Attributes; 2.1.3 Calculating Composite Performance Scores; 2.2…Improved Technique for Order Preference by Similarity to Ideal Solution Method; 2.2.1 Formulating the Decision Table; 2.2.2 Deciding Weights of the Attributes; 2.2.3 Calculating Composite Performance Scores; 2.3…Data Envelopment Analysis Method; 2.3.1 The Basic CCRCCR Model; 2.3.2 Strengths and Limitations of Basic CCRCCR Model; 2.3.3 Reduced CCRCCR Model; 2.3.4 Improved RCCR/Assurance RegionRCCR/Assurance Region Model. 2.4…Improved Preference Ranking Organization Method for Enrichment Evaluations2.4.1 Formulation of Decision Table; 2.4.2 Deciding Weights of the Attributes; 2.4.3 Improved PROMETHEEPROMETHEE Calculations; 2.5…Improved ELimination Et Choix Traduisant la REalité Method; 2.5.1 Construction of the Decision Table; 2.5.2 Calculating the Weights of the Attributes Using AHPAHP; 2.5.3 Calculations Using ELECTREELECTRE for Final Ranking; 2.6…Improved COmplex PRoportional ASsessment Method; 2.6.1 Construction of the Decision Table; 2.6.2 Calculating the Weights of the Attributes Using AHPAHP. 2.6.3 COPRASCOPRAS Calculations for Final Ranking2.7…Improved Gray Relational Analysis Method; 2.8…Improved Utility Additive Method; 2.9…VIKORVIKOR Method; 2.10…Improved Ordered Weighted Averaging Method; References; 3 Applications of Improved MADMMADM Methods to the Decision Making Problems of Manufacturing Environment; 3.1…Applications of the DEADEA RCCR/AR Method; 3.1.1 Material SelectionMaterial selection for a Given Engineering Application; 3.1.2 Metal Stamping LayoutMetal stamping layout Selection; 3.1.3 Modern Machining MethodModern machining method Selection. 3.1.4 Product End-of-Life ScenarioProduct end-of-life scenario Selection3.2…Applications of the Improved PROMETHEEPROMETHEE Method; 3.2.1 Environment Friendly Cutting Fluid Selection for a Given Machining Application; 3.2.2 Evaluation of Environmentally Conscious Manufacturing Programs; 3.2.3 Product End-of-Life ScenarioProduct end-of-life scenario Selection; 3.2.4 Rapid Prototyping SystemRapid prototyping system Selection; 3.2.5 Gear MaterialGear material Selection; 3.2.6 Flexible Manufacturing SystemFlexible manufacturing system Selection. 3.2.7 Material Handling EquipmentMaterial handling equipment Selection |
| Titelhinweis |
Buchausg. u.d.T.ISBN: 978-1-447-14374-1 |
| ISBN |
ISBN 978-1-4471-4375-8 |
| Klassifikation |
TBC |
| KJMV |
| TEC000000 |
| *90-02 |
| 90B50 |
| 05C90 |
| 90C35 |
| 658.5 |
| TA177.4-185 |
| Kurzbeschreibung |
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 |
| 2. Kurzbeschreibung |
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), VIekriterijumsko 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 makers 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. |
| SWB-Titel-Idn |
373433697 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-1-4471-4375-8 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Cover |
| Siehe auch |
Inhaltstext |
