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: | Doolun, Ian Shivraj, Ponnambalam, S. G., Subramanian, Nachiappan, Kanagaraj, G. |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier Ltd.
2018
|
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 |
Similar Items
-
An implementation of differential evolution algorithm for a single product and single period multi-echelon supply chain network model
by: Ayda, Emdadian, et al.
Published: (2018) -
Multi objective optimization of economic and environmental aspects of a three-Echelon Supply Chain
by: Rajaram, R., et al.
Published: (2019) -
Engaging Youth through Community-Driven Development Objectives : Experiences, Findings, and Opportunities
by: Adam, Sarah G., et al.
Published: (2014) -
Location - allocation model for new waste disposal location in Perlis / Nurul Syahirah Misbi
by: Misbi, Nurul Syahirah
Published: (2018) -
A hybrid SP-QPSO algorithm with parameter free adaptive penalty method for constrained global optimization problems
by: Fatemeh, D. B., et al.
Published: (2018)