scholarly journals Aircraft Routing and Scheduling: a Case Study in an Airline Company

2011 ◽  
Vol 1 (1) ◽  
pp. 27-43 ◽  
Author(s):  
Aslan Deniz KARAOGLAN ◽  
Demet GONEN ◽  
Emine UCMUS
Keyword(s):  
Mathematical Model ◽  
Scheduling Problem ◽  
Aircraft Routing ◽  
Routing And Scheduling ◽  
Daily Schedule ◽  
Cargo Transportation ◽  
Aircraft Routing And Scheduling ◽  
Implementation Steps ◽  
Airline Company

A major problem faced by every airline is to construct a daily schedule for a heterogeneous aircraft fleet. In the present paper implementation of aircraft routing and scheduling for cargo transportation, known as one of the scheduling problem in transportation, in an air-line is presented. First, problems faced by the company are defined and then implementation steps and expected improvements that will result from carrying out the solution of mathematical model of the problem are given in detail. The purpose of this paper is to describe, analyze and evaluate a case study of how an aircraft scheduling was managed in an air-line.

A Game Theory Approach for Multiple Design Tasks Schedule

2010 ◽  
Vol 26-28 ◽  
pp. 163-166
Author(s):  
Guo Hai Zhang ◽  
Guang Hui Zhou ◽  
Xue Qun Su
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Game Theory ◽  
Solution Algorithm ◽  
Optimal Scheduling ◽  
Theory Approach ◽  
Scheduling Problem ◽  
Tasks Scheduling ◽  
Numerical Case Study

This paper presents a new kind of scheduling solution for multiple design tasks in networked developing environments. The main contributions of this study can be focused on three points: The first is to distinguish the concepts and contents of the task scheduling in the networked developing environments. The second is to construct a game-theory mathematical model to deal with this new multiple design tasks scheduling problem. In the presented mathematical model, the players, strategies and payoff are given separately. Therefore, obtaining the optimal scheduling results is determined by the Nash equilibrium (NE) point of this game. In order to find the NE point, a genetic algorithm (GA)-based solution algorithm to solve this mathematical model is proposed. Finally, a numerical case study is presented to demonstrate the feasibility of the methods.

A Routing and Scheduling Problem for a Rail System: A Case Study

1981 ◽  
Vol 32 (9) ◽  
pp. 767-774 ◽  
Author(s):  
D. J. Abel ◽  
K. P. Stark ◽  
C. R. Murry ◽  
Y.-M. Demoulin
Keyword(s):  
Scheduling Problem ◽  
Routing And Scheduling ◽  
System A ◽  
Rail System

A Routing and Scheduling Problem for a Rail System: A Case Study

1981 ◽  
Vol 32 (9) ◽  
pp. 767 ◽  
Author(s):  
D. J. Abel ◽  
K. P. Stark ◽  
C. R. Murry ◽  
Y.-M. Demoulin
Keyword(s):  
Scheduling Problem ◽  
Routing And Scheduling ◽  
System A ◽  
Rail System

scholarly journals A new mathematical model for determining optimal workforce planning of pilots in an airline company

2021 ◽  
Author(s):  
İbrahim Zeki Akyurt ◽  
Yusuf Kuvvetli ◽  
Muhammet Deveci ◽  
Harish Garg ◽  
Mert Yuzsever
Keyword(s):  
Mathematical Model ◽  
Workforce Planning ◽  
Resource Planning ◽  
Planning Horizon ◽  
Mixed Integer ◽  
Planning Problem ◽  
Real World Data ◽  
Planning Decision ◽  
Airline Company

AbstractThis study aims to model a workforce-planning problem of pilot roles which include captain and first officer in an airline company and to make an efficient plan having maximal utilization of minimum workforce requirements. To tackle this problem, a mixed integer programming based a new mathematical model is proposed. The model considers different conditions such as employing pilots with different skill types, resignations, retirements, holidays of pilots, transitions between different skills regarding needs of the demands during the planning horizon. The application of the proposed approach is investigated using a case study with real-world data from an airline company in Turkey. The results show that a company can use transitions instead of new employment and this is a more suitable medium-term production and human resource planning decision.

scholarly journals A Hybrid Genetic Algorithm for Nurse Scheduling Problem considering the Fatigue Factor

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Atefeh Amindoust ◽  
Milad Asadpour ◽  
Samineh Shirmohammadi
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Hybrid Genetic Algorithm ◽  
Real Case ◽  
Scheduling Problem ◽  
Nurse Scheduling ◽  
Proposed Model ◽  
The World ◽  
New Situation

Nowadays and due to the pandemic of COVID-19, nurses are working under the highest pressure benevolently all over the world. This urgent situation can cause more fatigue for nurses who are responsible for taking care of COVID-19 patients 24 hours a day. Therefore, nurse scheduling should be modified with respect to this new situation. The purpose of the present research is to propose a new mathematical model for Nurse Scheduling Problem (NSP) considering the fatigue factor. To solve the proposed model, a hybrid Genetic Algorithm (GA) has been developed to provide a nurse schedule for all three shifts of a day. To validate the proposed approach, a randomly generated problem has been solved. In addition, to show the applicability of the proposed approach in real situations, the model has been solved for a real case study, a department in one of the hospitals in Esfahan, Iran, where COVID-19 patients are hospitalized. Consequently, a nurse schedule for May has been provided applying the proposed model, and the results approve its superiority in comparison with the manual schedule that is currently used in the department. To the best of our knowledge, it is the first study in which the proposed model takes the fatigue of nurses into account and provides a schedule based on it.

scholarly journals Robust and sustainable full-shipload routing and scheduling problem considering variable speed: A real case study

2018 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Masoud Rabbani ◽  
Shohre Sadeghsa ◽  
Maliheh Vaez-Alaei ◽  
Hamed Farrokhi-Asl
Keyword(s):  
Real Case ◽  
Scheduling Problem ◽  
Variable Speed ◽  
Routing And Scheduling
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