Publication:
Lathe selection using analytic hierarchy process and information axiom

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CBU Research Institute

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Research Projects

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Abstract

Selection of appropriate equipment, place, or employee is a problem that needs consideration by industry, as capacities develop and efficiencies become more valued over the recent decades. Several decision-making techniques have been developed and applied to many different areas to evaluate their reliability. This study focuses on the application of a hybrid decision-making technique of Analytic Hierarchy Process and Information Axiom to solve the problem of lathe selection. Results show that appropriate machine tools can easily be selected within a short time using this approach.

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CBU International Conference Proceedings

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1805-997X

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OPEN

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Artificial intelligence, Information Axiom, AHP, Economics, Environmental Decision Making, Social Sciences, Geometry, Group Decision Making, DECISION-MAKING, Multi-Criteria Decision Making, Management Science and Operations Research, Operations research, Quantum mechanics, Decision Sciences, Supplier Selection, Selection (genetic algorithm), Engineering, Hierarchy, Market economy, FOS: Mathematics, TOOL, Axiom, GIS-based Decision Analysis, Analytic hierarchy process, Lathe Selection, Physics, Power (physics), Analytic Hierarchy Process, Computer science, Process (computing), Management science, Industrial engineering, Operating system, Reliability (semiconductor), Mathematics

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