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A bi-objective model for local and global green supply chain

contributor authorSmith, Neale R.
contributor authorManzano, Mario G.
contributor authorCastillo-Villar, Krystel
contributor authorRivera-Morales, Luis A.
date accessioned2020-03-12T22:23:42Z
date available2020-03-12T22:23:42Z
date issued2014
identifier other7007165.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1081530?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA bi-objective model for local and global green supply chain
typeConference Paper
contenttypeMetadata Only
identifier padid8218029
subject keywordsfriction
subject keywordsn machine tools
subject keywordsn machining
subject keywordsn mechanical guides
subject keywordsn regression analysis
subject keywordsn wear testing
subject keywordsn Archard wear model
subject keywordsn dry friction
subject keywordsn loading
subject keywordsn machine slide guides attenuation model
subject keywordsn machine sliding guides
subject keywordsn machine tool slide guides
subject keywordsn orthogonal experiment
subject keywordsn pin-on-disc wear tests
subject keywordsn regression analysis
subject keywordsn regression equation
subject keywordsn side wear characteristics
subject keywordsn sliding guides motion state
subject keywordsn sliding guides wear theory
subject keywordsn velocity
subject keywordsn wear behaviou
identifier doi10.1109/ICMA.2014.6885934
journal titleomputational Intelligence in Production and Logistics Systems (CIPLS), 2014 IEEE Symposium on
filesize1121760
citations0


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