Abstract
The article describes the process of collaborative management at airports A-CDM in dynamically changing conditions of the productive process, defined as the occurrence of emergency situations capable of altering the planned actions. In real operation, in this case, a large number of possible solutions for each emergency situation appears, the lower the level of recording for these options, the more their number. This paper focuses on external factors that significantly affect the activities of airlines and airports and to the relevant management retaliation formalized in the form of five points. The relevance of the choice is dictated by the presence of conflicting interests of stakeholders. Objective explanation in favor of a decision based on the minimization of the total losses from the outbreak of emergencies would significantly strengthen the position of each participant in the process. The authors have introduced a number of mathematical notations and assumptions, a list of which can be supplemented. Dynamic priorities for each participant in the process are formulated. The tool for optimization of joint decision-making is the genetic algorithm, which allows for a smaller number of iterations in the real time to get suboptimal decision that meets the requirements of the participants in the process. As an example, the article describes a situation that may occur in a real-world production. Based on the multiplicative form a dynamic priority for delayed flights is assigned, taking into account the conflicting interests of the participants in the process, private ranking criteria for flights during each step of the rescheduling are formed, a genetic algorithm is applied. As a result, a specific decision of the emergency situation, arising spontaneously from the impact of external factors is obtained. This mathematical apparatus has prospects of introduction into the productive process as any emergency can be built into the solving algorithm and taken into account.
Highlights
The article describes the process of collaborative management at airports A-collaborative decision making (CDM) in dynamically changing conditions of the productive process, defined as the occurrence of emergency situations capable of altering the planned actions
This paper focuses on external factors that significantly affect the activities of airlines and airports and to the relevant management retaliation formalized in the form of five points
The tool for optimization of joint decision-making is the genetic algorithm, which allows for a smaller number of iterations in the real time to get suboptimal decision that meets the requirements of the participants in the process
Summary
С учетом разнообразия этих действий и ряда негативных факторов введем ряд обозначений: i – номер аэропорта (i = 1&...N); i,g – номер аэропортов вылета и прилета соответственно; ni – общее число мест на летном поле i-го аэропорта; xi – число свободных мест в i-м аэропорту; yi – число базовых мест на летном поле для стоянки; zi – число ВС в воздухе, прибывающих в i-й аэропорт; r – номер авиакомпании; K – номер задержанного рейса (K = 1,..., L); li,j – число задержанных рейсов из аэропорта i в аэропорт j; ∆ti,j – время задержки в вылете рейса i, j; Ti,j – длительность выполнения рейса i, j; Si,j – число пассажиров в рейсе i, j; Sj,i – число вылетающих пассажиров обратно; Cj = 0,1 – альтернатива летной погоды прилета в аэропорт j; Qr – число ВС, принадлежащих авиакомпании r; M – общее число ВС во всех аэропортах; Q = 1,2 – тип воздушного судна (q = 2 – широкофюзеляжный); Шj – штрафная (или доходная) функция в зависимости от числа свободных мест на летном поле; ∆j – дополнительные расходы за счет проезда пассажирами части пути на поезде-экспрессе; mo – число задержанных рейсов, вылет которых планируется на одном шаге решения задачи;. R – общее число шагов перепланирования задержанных вылетов в сутки; m1, m2, m3 – масштабные коэффициенты в мультипликативной свертке частных критериев ранжирования, учитывающие разную значимость противоречивых интересов
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have