caa a22 4500 606217363 CHVBK 20210128101107.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10598-015-9272-3 doi (NATIONALLICENCE)springer-10.1007/s10598-015-9272-3 Multi-Source Capacitated Plant Location Problem with Customer and Supplier Matching [Elektronische Daten] [Maziar Salahi, Ali Jamalian] In this paper, we study the multi-source capacitated plant location problem with customer and supplier matching. A distribution and a supply trip are merged into one triangular trip for saving transportation and allocation costs. Vehicles from plants visit a customer and a supplier for each trip, but each customer can be related to more than one plant and supplier. It is formulated as a mixed integer linear programming problem, and the Lagrangian relaxation is used to solve it. Our computational experiments on several randomly generated test problems confirm the effectiveness of the Lagrangian relaxation approach. Springer Science+Business Media New York, 2015 Plant location nationallicence multi-source location nationallicence Lagrangian relaxation nationallicence matching nationallicence mixed integer program nationallicence Salahi Maziar Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran aut Jamalian Ali Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran aut Computational Mathematics and Modeling Springer US; http://www.springer-ny.com 26/2(2015-04-01), 273-283 1046-283X 26:2<273 2015 26 10598 https://doi.org/10.1007/s10598-015-9272-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10598-015-9272-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Salahi Maziar Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran aut NATIONALLICENCE 700 1- Jamalian Ali Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran aut NATIONALLICENCE 773 0- Computational Mathematics and Modeling Springer US; http://www.springer-ny.com 26/2(2015-04-01), 273-283 1046-283X 26:2<273 2015 26 10598