Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence
The strategic location of manufacturing plants and warehouses and the allocation of resources to the various stages of a supply chain using big data is of paramount importance in the era of internet of things. A multi-objective mathematical model is formulated in this paper to solve a location-alloc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd.
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/22373/ http://umpir.ump.edu.my/id/eprint/22373/ http://umpir.ump.edu.my/id/eprint/22373/ http://umpir.ump.edu.my/id/eprint/22373/1/Data%20driven%20hybrid%20evolutionary%20analytical%20approach%20for%20multi%20objective%20location%20allocation%20decisions.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/22373/http://umpir.ump.edu.my/id/eprint/22373/
http://umpir.ump.edu.my/id/eprint/22373/
http://umpir.ump.edu.my/id/eprint/22373/1/Data%20driven%20hybrid%20evolutionary%20analytical%20approach%20for%20multi%20objective%20location%20allocation%20decisions.pdf