| contributor author | الناز معیّری | en |
| contributor author | فرزاد دهقانیان | en |
| contributor author | مهلا باباگل زاده | en |
| contributor author | elnaz moayeri | fa |
| contributor author | Farzad Dehghanian | fa |
| contributor author | MAHLA BABAGOLZADEH | fa |
| date accessioned | 2020-06-06T14:22:25Z | |
| date available | 2020-06-06T14:22:25Z | |
| date copyright | 12/4/2016 | |
| date issued | 2016 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3393940?show=full | |
| description abstract | Due to the increase in environmental concerns and the environmental regulations enacted by governments, green supply chain has received more attention. In this paper, a mixed-integer linear programming model is presented for supply chain planning under emission trading scheme in which carbon footprints is considered in transportation, storage and production. Moreover, since machine upgrade would influence carbon emission, the model has been powered with the ability to decide in which planning periods these upgrades should take place. The model is validated by examining a hypothetical example. | en |
| language | English | |
| title | Effect of manufacturing machines upgrading on green supply chain planning | en |
| type | Conference Paper | |
| contenttype | External Fulltext | |
| subject keywords | green supply chain | en |
| subject keywords | carbon emissions | en |
| subject keywords | machine upgrade | en |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1057868.html | |
| conference title | IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) | en |
| conference location | بالی | fa |
| identifier articleid | 1057868 | |
