Drone-enhanced offshore spare part fulfilment using mobile additive manufacturing factories and multi-modal delivery
研究了结合移动增材制造工厂和无人机/卡车/船舶多模式交付的海上平台备件供应链，通过混合整数线性规划模型优化战术和运营决策，案例表明可缩短运输时间并满足交货期。
Offshore oil and gas operations are crucial for energy supply but encounter logistic challenges due to their remote locations and harsh environments. Costly shutdowns in this industry make the supply of spare parts a critical operation. Mobile additive manufacturing (MAM) factories provide a flexible and sustainable solution by enabling on-demand and on-site production, particularly in high-mix, low-volume contexts like spare parts. However, geographically dispersed facilities, like offshore platforms, require strategic distribution decisions since MAM factories may not be located in situ. Drones offer a promising solution for delivering products in offshore settings. No prior work integrates drone delivery and distribution decisions with MAM factories. This study addresses that gap by introducing a supply chain where MAM factories produce spare parts for offshore platforms, with delivery via drones or trucks/ships. A mixed-integer linear programming model is developed to support tactical and operational decision-making. The model is solved using a matheuristic that is benchmarked against an exact and an adaptive large neighbourhood search (ALNS) method. Computational experience shows the matheuristic outperforms ALNS in solution quality and CPU times. The approach is illustrated by a case study inspired by Fieldmade's operations, a MAM servicing North Sea oil platforms. Results highlight the advantages of both MAM factory relocations and drone deliveries in reducing shipping times and meeting demand due dates.