شماره ركورد كنفرانس :
4325
عنوان مقاله :
Multi-day planning to integrated scheduling and aircraft-path assignment with green consideration and passenger service level
پديدآورندگان :
Jalalian Mahdi Mahdi.Jalalian@email.kntu.ac.ir Department of Industrial Engineering,K. N. Toosi University؛ , Gholami Saiedeh s_gholami@kntu.ac.ir Department of Industrial Engineering,K. N. Toosi UniversityTehran, Iran؛ , Ramezanian Reza Ramezanian@kntu.ac.ir Department of Industrial Engineering,K. N. Toosi UniversityTehran, Iran؛
كليدواژه :
green transport , CO2 emission , cruise speed control , schedule design , aircraft and path assignment.
عنوان كنفرانس :
اولين كنفرانس بين المللي بهينه سازي سيستم ها و مديريت كسب و كار
چكيده فارسي :
Among all airline sources, highest operational cost assigns to the fuel consumption. The fuel supplies from non-renewable energy sources including fossil fuels. Releasing carbon dioxide (CO2) from fossil fuels has damaging effects on the environment. Therefore, the use of fossil fuels is problematic for environment and economics. These challenges have led air air transport industry transport industrytransport industrytransport industry transport industrytransport industry transport industry transport industrytransport industrytransport industry transport industry to become greener. Meeting the needs of passengers is the main activity in this industry. This study introduces some measurements such as cruise flight time and day of flying as service level for passengers. We introduce total energy consumption (TEC) and passenger service level (PSL) as two objectives that they are conflict with each other. Cruise speed control is tool for balancing both TEC and PSL. Low speed of aircraft will improve TEC and decrease PSL, and vice versa. We propose a mixed-integer nonlinear programming model (MINLP) to survey TEC and PSL. The purpose of this study is to explore these objectives with integrating schedule design, aircraft assignment and path assignment. We use augmented ε-constraint method to solve the problem. We present a case study to examine the model. The results were compared with published schedule. In the worst case, TEC and PSL improved 4.6% and 252 compared with published schedule, respectively. In the best case, they improved 55% and 33% compared with published schedule, respectively. Also, obtained results were compared with previous study.