Robust design of a logistics system using FePIA procedure and analysis of trade-offs between CO2 emissions and net present value

The problems of flexible planning the design logistics systems for collection food products such as raw milk can result in a decrease performance critical indicators their performance. This paper proposes new efficient methodology robustly designing first-mile system storing and refrigerating perishable product considering decisions related to open facilities flow products, including sustainability indices. proposed approach is modeled bi-objective problem by minimization greenhouse gas emissions (CO2) produced transportation canteens maximization configuration's net present value (NPV). We have analyzed determined most robust configuration first time explained robustness-NPV robustness-CO2 relationships. mathematical model solved Epsilon constraints method, robustness calculated an extension FePIA multiobjective problems. A novel contribution balance possible future values generated company its cash flows generation CO2 when using motorized transport frequently used shipment important aspect volume transported slope path between production farm storage cooling tanks.