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Engineering Economics
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Engineering Economics
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Sensitivity Analysis in MADM Methods: Application of Material Selection

تحليل الحساسية في طرق MADM: تطبيق اختيار المواد
Authors: Morteza Yazdani; Edmundas Kazimieras Zavadskas; Joshua Ignatius; M.D. Abad;

Sensitivity Analysis in MADM Methods: Application of Material Selection

Abstract

Material evaluation studies are getting very strategic subject in design and engineering. Decision about effective modeling of material selection framework is always a concern for management of manufacturing and production. This study is involved with a new approach to select materials based on expert’s policy and multi attribute decision making theory due to some technical conflicting variables and quantity of materials. Weighting method SWARA for the first time is applied in material selection and then to prioritize candidate material list WASPAS and MOORA are employed. To verify material ranking outcomes, sensitivity analysis as putting new normalization tool for WASPAS and MOORA is performed. Two real material selection case studies are presented to configure and model effective structure of material selection database. DOI: http://dx.doi.org/10.5755/j01.ee.27.4.14005

Countries
Spain, Lithuania
Keywords

Artificial intelligence, Decisión, Economics, Strategy and Management, Macroeconomics, Social Sciences, Normalization (sociology), Material handling, SWARA, Operations research, Weighting, Decision Sciences, Selection (genetic algorithm), Engineering, Sociology, Management of Technology and Innovation, Quality Function Deployment in Product Development and Management, Multi-criteria Decision Making, Production (economics), MOORA, Sensitivity (control systems), FOS: Sociology, Operations management, Multi Attribute Decision Making (MADM), Normalization tool, Medicine, Radiology, Material Selection., Composite material, Environmental Decision Making, Business, Management and Accounting, Multi-Criteria Decision Making, Management Science and Operations Research, 650, Material, Supplier Selection, Information retrieval, Toma de, Toma de decisiones, Electronic engineering, WASPAS, Ranking (information retrieval), Decisión, Toma de, Material selection, Computer science, Multiple-criteria decision analysis, Materials science, Industrial engineering, Materials management, Anthropology, Integration of Management Systems for Organizational Efficiency

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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