Akademik Veri Yönetim Sistemi
5th EurAsia Waste Management Symposium (EWMS) 2020 , İstanbul, Türkiye, 26 - 28 Ekim 2020, ss.441-445
Abstract: Motor vehicle inspection (MVI) services and the measurement of exhaust emissions have become significantly important in recent years due to the increasing air pollution in large cities. A part of the urban air pollution is due to exhaust emission from motor vehicles and thus periodic inspections are enforced by law. In Turkey, the periodic inspection of motor vehicles has been performed by a privately owned company since early 2000’s. The company largely contributes to traffic and vehicle safety in Turkish roads as well as air pollution via exhaust gas emission testing services. The aim of this study is to optimize the daily throughput at the MVI station. All vehicles are admitted via a prearranged appointment procedure and each vehicle has to be inspected on the day of the appointment. A low admission rate will clearly result in lower inspection rate at the end of the day leading to a lower revenue whereas a high admission rate will certainly bring higher revenue at the expense of unwanted high waiting times or long delays at the queues. The main focus of this study, is to establish a balance between vehicle admission (appointment) rate and mean waiting times of the vehicles. A discrete-event simulation model is constructed by using the ARENA software which re-creates the inspection process and daily operations in the MVI station is simulated. Several vehicle admission (appointment schedules) policies, different processing sequences during the inspection have been considered. A Taguchi DOE framework is constructed to optimize the throughput at the MVS. Recommendations are offered to increase the throughput while keeping the waiting times at a reasonable level.
Keywords: Motor vehicle inspection, simulation, Taguchi approach