Bi-objective mixed-integer nonlinear programming for multi-commodity tri-echelon supply chain networks

scholarly article by M. H. Alavidoost et al published 28 July 2015 in Journal of Intelligent Manufacturing

Bi-objective mixed-integer nonlinear programming for multi-commodity tri-echelon supply chain networks is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/jim/AlavidoostTZ18
P356DOI10.1007/S10845-015-1130-9

P50authorMosahar TarimoradiQ57412166
P2093author name stringM. H. Alavidoost
M. H. Fazel Zarandi
P2860cites workA fast and elitist multiobjective genetic algorithm: NSGA-IIQ56112663
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approachQ56885149
Fuzzy adaptive genetic algorithm for multi-objective assembly line balancing problemsQ57512912
The application of life cycle assessment to process optimisationQ57762816
Multi-objective ant colony optimisation: A meta-heuristic approach to supply chain designQ57935965
P433issue4
P921main subjectsupply chain managementQ492886
supply chainQ1824206
P304page(s)809-826
P577publication date2015-07-28
P1433published inJournal of Intelligent ManufacturingQ15767561
P1476titleBi-objective mixed-integer nonlinear programming for multi-commodity tri-echelon supply chain networks
P478volume29

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