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Demonstrates how various fuzzy multiple attribute decision making methods such as AHP, GRA, OWA, UTA, DEA, PROMETHEE, COPRAS, WEDBA, CBMA, and SOIW methods can be effectively used for decision making in various situations of the manufacturing environment
Presents decision making methodologies in a logical, simple manner so that they can be conveniently implemented in the real manufacturing environment
Documents the latest research works including the author’s own works related to each of the listed topics
Includes algorithms and computer codes for various MADM methods
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.
Content Level »Research
Keywords »COPRAS - DEA - Decision Making Methods - ELECTRE - Fuzzy Logic - Graph Theory - Manufacturing Environment - Multiple Attribute Decision Making - OWA - PROMETHEE - UTA