A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling |
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Institution: | 1. Cardiff Business School, Cardiff University, Aberconway Building, Column Drive, Cardiff CF10 3EU, UK;2. School of Computer Science & Informatics, Cardiff University, Queen’s Buildings, 5 The Parade, Cardiff CF24 3AA, UK |
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Abstract: | We propose an efficient evolutionary multi-objective optimization approach to the capacitated facility location–allocation problem (CFLP) for solving large instances that considers flexibility at the allocation level, where financial costs and CO2 emissions are considered simultaneously. Our approach utilizes suitably adapted Lagrangian Relaxation models for dealing with costs and CO2 emissions at the allocation level, within a multi-objective evolutionary framework at the location level. Thus our method assesses the robustness of each location solution with respect to our two objectives for customer allocation. We extend our exploration of selected solutions by considering a range of trade-offs for customer allocation. |
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Keywords: | Facility location–allocation problem Green logistics Multi-objective optimization |
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