- Scheduling and Optimization Algorithms
- Assembly Line Balancing Optimization
- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
- Air Traffic Management and Optimization
- Optimization and Search Problems
- Supply Chain and Inventory Management
- Aviation Industry Analysis and Trends
- Optimization and Packing Problems
- Vehicle Routing Optimization Methods
- Risk and Portfolio Optimization
- Smart Grid Energy Management
- Electric Power System Optimization
- Optimization and Mathematical Programming
- Energy Load and Power Forecasting
- Auction Theory and Applications
- Constraint Satisfaction and Optimization
- Metaheuristic Optimization Algorithms Research
- Transportation Planning and Optimization
- Optimal Power Flow Distribution
- Software Reliability and Analysis Research
- Transportation and Mobility Innovations
- Aerospace Engineering and Control Systems
- Advanced Multi-Objective Optimization Algorithms
- Engineering Applied Research
Bilkent University
2011-2022
Lehigh University
1998-1999
Boğaziçi University
1999
Airline operations are subject to frequent disruptions typically due unexpected aircraft maintenance requirements and undesirable weather conditions. Recovery from a disruption often involves propagating delays in downstream flights increasing cruise stage speed when possible an effort contain the delays. However, there is critical trade-off between fuel consumption (and its adverse impact on air quality greenhouse gas emissions) speed. Here we consider caused by such propose flight...
Airline schedules are generally tight and fragile to disruptions. Disruptions can have severe effects on existing aircraft routings, crew pairings, passenger itineraries that lead high delay recovery costs. A approach should integrate the decisions for all entities (aircraft, crew, passengers) in system as about an entity directly affect others’ schedules. Because of size airline flight networks requirement quick decisions, integrated problem is highly complex. In past decade, increasing...
We present a literature review and classification of techniques to determine both the design parameters kanban sequences for just-in-time manufacturing systems. summarize model structures, decision variables, performance measures assumptions in tabular format. It is important state that there significant relationship between parameters, such as number kanbans sizes, scheduling decisions multiitem, multi-stage, multi-horizon system. An experimental developed evaluate impact operational...
We propose an integrated algorithm that will solve the part-family and machinecell formation problem by simultaneously considering within-cell layout problem. To best of our knowledge, this is first study considers efficiency both individual cells overall system in monetary terms. Each cell should make at least a certain amount profit to attain self-sufficiency, while we maximize total using holonistic approach. The proposed provides two alternative solutions; one with independent other...
Abstract In the existing literature, part-family formation problem is handled either by coding systems or cluster analysis. this study, we propose a new method that will consider both design and manufacturing attributes operation sequences simultaneously, in conjunction with related performance measures such as machine investment, amount of workload deviations within between cells, number skippings. Finally, proposed compared similarity coefficient under different experimental settings its...
Day-ahead scheduling of electricity generation or unit commitment is an important and challenging optimization problem in power systems. Variability net load arising from the increasing penetration renewable technologies has motivated study various classes stochastic models. In two-stage models, schedule for entire day fixed while dispatch adapted to uncertainty, whereas multi-stage models also allowed dynamically adapt uncertainty realization. Multi-stage provide more flexibility schedule;...
Abstract The machine scheduling literature does not consider the issue of tool change. parallel on management addresses this but assumes that change is due only to part mix. In practice, however, a caused most frequently by wear. That why we here problem set jobs single CNC where cutting subject wear; our objective minimize total completion time. We first describe and discuss its peculiarities. After briefly reviewing available theoretical results, then go provide mixed 0–1 linear...
SUMMARY Scheduling efforts made without considering the special limitations of material handling system might lead to infeasible results. An analytical model is proposed, first, incorporate automated guided vehicle (AGV) into overall decision making hierarchy. A mathematical formulation developed include interaction between AGV module and other modules in by restrictions system. micro-opportunistic approach then proposed solve scheduling problem. Finally, method compared with a number...
AbstractRobust airline schedules can be considered as flight that are likely to minimize passenger delay. Airlines usually add an additional time—e.g., schedule padding—to scheduled gate-to-gate times make their less susceptible variability and disruptions. There is a critical trade-off between any kind of buffer time daily aircraft productivity. Aircraft speed control practical alternative inserting idle into schedules. In this study, block in two parts: Cruise controllable non-cruise...
Abstract The study deals with scheduling a set of independent jobs unequal release dates to minimize total weighted tardiness on single machine. We propose new dominance properties that are incorporated in branch and bound algorithm. proposed algorithm is tested randomly generated problems 10, 15 20 jobs. To the best our knowledge, this first exact approach attempts solve l|rj |ΣwjTj problem.