A bi-objective model for local and global green supply chain
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: 2014DOI: 10.1109/ICMA.2014.6885934
Keyword(s): friction,n machine tools,n machining,n mechanical guides,n regression analysis,n wear testing,n Archard wear model,n dry friction,n loading,n machine slide guides attenuation model,n machine sliding guides,n machine tool slide guides,n orthogonal experiment,n pin-on-disc wear tests,n regression analysis,n regression equation,n side wear characteristics,n sliding guides motion state,n sliding guides wear theory,n velocity,n wear behaviou
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A bi-objective model for local and global green supply chain
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| contributor author | Smith, Neale R. | |
| contributor author | Manzano, Mario G. | |
| contributor author | Castillo-Villar, Krystel | |
| contributor author | Rivera-Morales, Luis A. | |
| date accessioned | 2020-03-12T22:23:42Z | |
| date available | 2020-03-12T22:23:42Z | |
| date issued | 2014 | |
| identifier other | 7007165.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1081530?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A bi-objective model for local and global green supply chain | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8218029 | |
| subject keywords | friction | |
| subject keywords | n machine tools | |
| subject keywords | n machining | |
| subject keywords | n mechanical guides | |
| subject keywords | n regression analysis | |
| subject keywords | n wear testing | |
| subject keywords | n Archard wear model | |
| subject keywords | n dry friction | |
| subject keywords | n loading | |
| subject keywords | n machine slide guides attenuation model | |
| subject keywords | n machine sliding guides | |
| subject keywords | n machine tool slide guides | |
| subject keywords | n orthogonal experiment | |
| subject keywords | n pin-on-disc wear tests | |
| subject keywords | n regression analysis | |
| subject keywords | n regression equation | |
| subject keywords | n side wear characteristics | |
| subject keywords | n sliding guides motion state | |
| subject keywords | n sliding guides wear theory | |
| subject keywords | n velocity | |
| subject keywords | n wear behaviou | |
| identifier doi | 10.1109/ICMA.2014.6885934 | |
| journal title | omputational Intelligence in Production and Logistics Systems (CIPLS), 2014 IEEE Symposium on | |
| filesize | 1121760 | |
| citations | 0 |