Multi-Objective Robust Optimization for the Sustainable Location-Inventory-Routing Problem of Auto Parts Supply Logistics

A great loss of transportation capacity has been caused in auto parts supply logistics due to the independent from suppliers (APSs) automobile production line (APL). It is believed that establishing distribution centers (DCs) for centralized collection and unified one effective way address this problem. This paper proposes a framework simultaneously considering location-inventory-routing problem (LIRP) logistics. Integrating idea sustainable development, multi-objective MIP model developed determine location inventory DCs routing decisions minimize total system cost carbon emissions while concerning multi-period demand. In addition, robust optimization further context uncertain Numerical experiments sensitivity analyses are conducted verify effectiveness our proposed deterministic models. The results show synergistically optimizing beneficial reducing emissions. analysis can provide guidelines decision-makers management