Working MOG optimization via opportunistic delays

Abstract

In this paper, we systematically investigate the use of delays to optimize the throughput for the working Maximum-On-Ground (MOG) problem space. The MOG optimization refers to the management of the transport aircraft in-and-around an airfield. The working MOG refers to the fulfilling of the servicing requirements of the aircraft. The effective and efficient daily MOG management enables the U.S. Air Force (USAF) Air Mobility Command (AMC) to rapidly deploy and sustain the equipment, and personnel anywhere in the world. However, the seemingly solved problem can quickly grow out of hand when the number of interruptions exceed past a certain point; this due to the combinatorial nature of the scheduling problem, where the order, and the mission dependencies matter. The opportunistic delays optimization explores the trade-off space between the efficiency (throughput maximization) and the resilience to schedule disruptions.