• Lietuvių
    • English
  • English 
    • Lietuvių
    • English
  • Login
View Item 
  •   DSpace Home
  • Mokslinės publikacijos (PDB) / Scientific publications (PDB)
  • Moksliniai ir apžvalginiai straipsniai / Research and Review Articles
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources
  • View Item
  •   DSpace Home
  • Mokslinės publikacijos (PDB) / Scientific publications (PDB)
  • Moksliniai ir apžvalginiai straipsniai / Research and Review Articles
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Determination of manufacturing process conditions by using MCDM methods: application in laser cutting

Thumbnail
View/Open
iee_Vol27_No2_144-150_Madic.pdf (529.8Kb)
Date
2016
Author
Madic, Milos
Antuchevičienė, Jurgita
Radovanovic, Miroslav
Petkovic, Dusan
Metadata
Show full item record
Abstract
Manufacturing is a primary generator of wealth of the country and is essential for economic growth. Determination of the most suitable manufacturing process conditions for a given application is very complex task and requires consideration of a number of conflicting and diverse process performance characteristics (criteria). In this paper the application of a recent multi-criteria decision making (MCDM) method, i.e. weighted aggregated sum product assessment (WASPAS) for determination of manufacturing process conditions in laser cutting was discussed. Laser cutting experiment was conducted based on Taguchi’s L9 experimental design by varying the laser power, cutting speed, assist gas pressure and focus position at three levels. Based on obtained experimental results, a MCDM model consisting of nine alternatives and six criteria was defined. In order to determine the relative significance of considered criteria a pair-wise comparison matrix of the AHP method was used. Stability of the obtained ranking of alternatives was checked by varying values of coefficient of linear combination and by the application of operational competitiveness ratings analysis (OCRA) method.
Issue date (year)
2016
URI
https://etalpykla.vilniustech.lt/handle/123456789/116133
Collections
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjects / KeywordsInstitutionFacultyDepartment / InstituteTypeSourcePublisherType (PDB/ETD)Research fieldStudy directionVILNIUS TECH research priorities and topicsLithuanian intelligent specializationThis CollectionBy Issue DateAuthorsTitlesSubjects / KeywordsInstitutionFacultyDepartment / InstituteTypeSourcePublisherType (PDB/ETD)Research fieldStudy directionVILNIUS TECH research priorities and topicsLithuanian intelligent specialization

My Account

LoginRegister