Selection of suitable additive manufacturing machine and materials through best–worst method (BWM)

Autor:	Manivel Palanisamy, Rajesh Ranganathan, Arivazhagan Pugalendhi
Rok vydání:	2020
Předmět:	0209 industrial biotechnology 020901 industrial engineering & automation Control and Systems Engineering Computer science Mechanical Engineering 02 engineering and technology Industrial and production engineering Best worst method Industrial and Manufacturing Engineering Software Selection (genetic algorithm) Manufacturing engineering Computer Science Applications
Zdroj:	The International Journal of Advanced Manufacturing Technology. 107:2345-2362
ISSN:	1433-3015 0268-3768
DOI:	10.1007/s00170-020-05110-6
Popis:	In this competitive world, industries are looking for smart technologies to compete; these technologies help RD this is certainly based on the respondent requirements. The result attained through the proposed methodology can be varied based upon the respondent requirements and further machine availabilities. In conclusion, the end result helps to identify the suitable machine and build materials for the prototype to be produced based on the respondent requirements.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f74fc9f8fb3e5abba45bddb8e034c0b0 https://doi.org/10.1007/s00170-020-05110-6 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.