Multi-objective sustainable capacitated location routing problem formulation in sustainable supply-chain management

Abstract

Conflicting sustainability dimensions are considered in a multi-objective formulation, focusing on the capacitated location routing problem (CLRP). The proposed sustainable version (S-CLRP) addresses the location of facilities, the routing of vehicles, the balance of the working load among drivers, and the environmental impact of operations due to the emission of greenhouse gases. In this work, both a mixed integer linear programming model solved using the goal attainment method and an approximated method based on iterated local search (ILS) and decomposition (ILS/D) are proposed. The results show the generation of non-dominated fronts with adequate dispersion and convergence characteristics with which supply-chain decision-makers can evaluate the impact of their decisions on the financial, environmental and social dimensions of their operations.

Keywords:

• Multi-objective optimization
• sustainable CLRP
• environmental impact
• workload social fairness
• iterated local search

Disclosure statement

No potential conflict of interest was reported by the author(s).

Acknowledgments

The authors would like to thank the support given by COLCIENCIAS (Administrative Department of Science, Technology and Innovation, Colombia) and CNPq (National Council for Scientific and Technological Development, Brazil).

Data availability statement