Simulation Model of a Spare Parts Distribution Network in the Airline Industry for Reducing Delays and Improving Service Levels: A Design of Experiments Study

Abstract

Currently, delays are the most common cause of airline disputes. One of the factors leading to these situations is the distribution of spare parts. The efficient management of the spare parts distribution can reduce the volume of delays and the number of problems encountered and therefore maximize the consumer satisfaction levels. Moreover, airlines are under pressure due to their tight competition, a problem that is expected to grow worse due to the COVID-19 pandemic. By carrying out efficient maintenance and distribution management along the supply chain, authorities, airlines, aircraft manufacturers, and consumers can obtain various benefits. Thus, the aim of this research is to perform a design of experiments study on a spare parts distribution network simulation model for the aviation industry. Based on this model, the effect of the input parameters and their interactions can be derived. Moreover, the findings are converted to a combined methodology based on simulation and design of experiments for the design and optimization of distribution networks. This research study thereby provides an approach to identify significant factors that could lead to a better system performance. In conclusion, this proposed approach enables aircraft maintenance systems to improve their service by minimizing delays and claims, reducing processing costs, and reducing the impact of maintenance on customer unsatisfaction.