Decision Making in the Manufacturing Environment [electronic resource] : Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods / by R. Venkata Rao.Material type: TextLanguage: English Series: Springer Series in Advanced Manufacturing: Publisher: London : Springer London, 2007Description: XVIII, 374 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781846288197Subject(s): Engineering | Systems theory | Engineering economy | Machinery | Engineering | Manufacturing, Machines, Tools | Engineering Economics, Organization, Logistics, Marketing | Operations Research/Decision Theory | Systems Theory, ControlAdditional physical formats: Printed edition:: No titleDDC classification: 670 LOC classification: TJ241Online resources: Click here to access online
to Decision Making -- to Decision Making in the Manufacturing Environment -- Graph Theory and Matrix Approach as a Decision- making Method -- to Multiple Attribute Decision-making (MADM) Methods -- A Logical Approach to Fuzzy MADM Problems -- Applications of GTMA and Fuzzy MADM Methods in the Manufacturing Environment -- Material Selection for a Given Engineering Application -- Evaluation of Product Designs -- Machinability Evaluation of Work Materials -- Cutting Fluid Selection for a Given Machining Application -- Evaluation and Selection of Modern Machining Methods -- Evaluation of Flexible Manufacturing Systems -- Machine Selection in a Flexible Manufacturing Cell -- Failure Cause Analysis of Machine Tools -- Robot Selection for a Given Industrial Application -- Selection of an Automated Inspection System -- Selection of Material Handling Equipment -- Selection of Rapid Prototyping Process in Rapid Product Development -- Selection of Software in Manufacturing Industries -- Welding Process Selection for a Given Application -- Geometric Moldability Analysis of Parts -- Evaluation of Metal Stamping Layouts -- Selection of Forging Conditions for Forging a Given Component -- Evaluation of Environmentally Conscious Manufacturing Programs -- Environmental Impact Assessment of Manufacturing Processes -- Evaluation of Aggregate Risk in Green Manufacturing -- Selection of Best Product End-of-Life Scenario -- Integrated Project Evaluation and Selection -- Facility Location Selection -- Operational Performance Evaluation of Competing Companies -- Vendor Selection in a Supply Chain Environment -- Group Decision Making in the Manufacturing Environment.
Manufacturing is the backbone of any industrialized nation. Recent worldwide advances in manufacturing technologies have brought about a metamorphosis in industry. Fast-changing technologies on the product front have created a need for an equally fast response from manufacturing industries. To meet these challenges, manufacturing industries have to select appropriate manufacturing strategies, product designs, manufacturing processes, work piece and tool materials, and machinery and equipment. The selection decisions are complex, as decision making is more challenging today. Decision makers in the manufacturing sector frequently face the problem of assessing a wide range of options and selecting one based on a set of conflicting criteria. Decision Making in the Manufacturing Environment demonstrates how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be effectively used for decision making in various situations of the manufacturing environment. Divided into two parts; Part I introduces the decision making situations in the manufacturing environment and presents decision making methods; Part II uses case studies to present the applications of these methods in real manufacturing situations. Decision Making in the Manufacturing Environment will be very useful to decision makers in the manufacturing sector as it makes decision making easier, more logical, systematic, efficient and effective. It is intended for designers, manufacturing engineers, practitioners, managers, institutes involved in design and manufacturing related projects, applied research workers, academics, and graduate students in mechanical, industrial, and manufacturing engineering.