Integrating Sustainability into the Optimization of Fuel Logistics Networks

摘要: Sustainable operation of logistics systems is a challenge for companies that import refined petroleum products since complex network required to deliver this flammable product the final customers on regular basis. The present study aims provide systematic approach optimizing Fuel Logistics Network (FLN) accounting not only transportation cost but also processrelated risks and relevant externalities. A Multi-Objective (M-O) Location-Inventory Problem (LIP) first developed risk-aware optimization networks. base model then extended Location-Inventory-Routing (LIRP) by integrating routing decision variables account transportation-related risk An M-O evolutionary algorithm finally adapted solve problems. main contribution is, therefore, highlight non-financial operational factors, including safety, emissions congestion, which have direct impact sustainability fuel sector. proposed mathematical models are tested in case major Liquefied Petroleum Gas (LPG) company Korea. results indicate decentralization can noticeably improve terms safety level around nodes as compared current norms. It suggested frequent small-volume supply may be feasible alternative full-tank replenishment auto-gas stations. This achieved through consolidation shipments into large within milk run routine, or use low capacity trucks. Such process design likely further factor