- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Quality and Supply Management
- Urban and Freight Transport Logistics
- BIM and Construction Integration
- Anomaly Detection Techniques and Applications
- Optimization and Packing Problems
- Sustainable Supply Chain Management
- Supply Chain Resilience and Risk Management
- Machine Learning in Healthcare
- Operations Management Techniques
- COVID-19 diagnosis using AI
- Intellectual Capital and Performance Analysis
- scientometrics and bibliometrics research
- Big Data and Business Intelligence
- Vehicle Routing Optimization Methods
- Voice and Speech Disorders
- Spectroscopy and Chemometric Analyses
- EEG and Brain-Computer Interfaces
- Optimization and Search Problems
- Image and Signal Denoising Methods
- Reliability and Maintenance Optimization
- Transportation and Mobility Innovations
İzmir Demokrasi Üniversitesi
2018-2024
Izmir University
2018-2024
Batman University
2016-2018
Konya Technical University
2018
Pamukkale University
2015-2018
İzmir University of Economics
2018
Gaziantep University
2016
In recent years, the interests of disassembly line have increased owing to economic reasons and increase environmental awareness. Effective can provide many advantages in terms aspect it facilitates competition companies with others. This study contributes relevant literature by a branch, bound remember algorithm for balancing problem AND/OR precedence. The proposed exact solution method employs memory-based dominance rule eliminate reduplicated sub-problems storing all searched utilise...
In recent years, there has been an increasing trend towards using robots in production systems. Robots are used different areas such as packaging, transportation, loading/unloading and especially assembly lines. One important step taking advantage of on the line is considering them while balancing line. On other hand, market conditions have increased importance mixed-model Therefore, this article, robotic problem studied. The aim study to develop a new efficient heuristic algorithm based...
The optimisation problems related to the assignment of tasks workstations in assembly and disassembly lines have been largely discussed literature. They are known, respectively, as Assembly Line Balancing Disassembly Problems. In this study, both types task performed on identical product integrated a common hybrid production system. Therefore, logistic process is simplified can supply easier with required components. considered system has layout two parallel workstations. flow conventional...
The disassembly line balancing (DLB) problem is the process of allocating a set tasks to an ordered sequence workstations in such way that optimizes some performance measures (e.g., number stations, hazardous components number, cycle time and work load). When operations are done on line, sometimes they need specific resources as robot, equipment, material, machine or qualified staff while working at workstation. This issue also raises resource constrained (RCDLB) problem. Therefore, this...
Abstract Background: Bike-sharing programmes have become popular in a large number of cities order to facilitate bicycle use. Determining the location bike sharing stations is vital success these programmes. Objectives: In this paper, case study applied Gaziantep University campus find possible locations for users (students). The purpose minimize total walking distance. Methods/Approach: Set and maximal covering mathematical models are considered decide on coverage capability determined 20...
In the assembly system, robots are able to provide enhancement on flexibility of system and automation. Each robot can perform different performance same tasks due their capabilities. Therefore, balancing robotic line (RALB) problem consists two main works, which assigning workstations, allocation in workstations. On other hand, cost is another important factor selection type high capital investment. this study, conflict objectives, minimizing cycle time, number workstation cost, considered....
Salt and pepper (SAP) noise elimination is a crucial step for further image processing pattern recognition applications. The main aim of this article to propose novel SAP method which employs regression-based neuro-fuzzy network highly corrupted gray scale color images. In the proposed method, multiple filters trained with artificial bee colony algorithm combined decision tree algorithm. performance filter compared number well known methods respect popular metrics including, structural...
In recent years, the two-sided assembly line (TAL) has become popular since it offers several advantages, such as fewer workstations and movement of workers inside line. TAL assumes that each mated workstation contains two in parallel, can process tasks on left, right or either side. However, a traditional TAL, only one worker is responsible for completing task at workstation. Dealing with large-size products massive operations may require more than operator to perform tasks. This study...
ÖzDetermining positions and counting of actors, amount product flow between decreasing transportation costs are handled as a network design problem in supply chain management.Supply (SCND) belongs to the class NP-hard problems.It has therefore appealed number researchers' close attention.However, existing literature lacks common benchmark instances for forward SCND problems so make fair comparison developed applied heuristic approaches.To this end, 450 new ranging from small large size with...
Parkinson's disease can be diagnosed by the speech signals. In general, data obtained feature extraction algorithms from signals are used in any classification algorithm. Some of extracted features have a high ability to represent relevant problem, while others low. diagnosis disease, it is very important determine which may increase performance. this paper, Artificial Bee Colony algorithm based selection approach proposed for solution mentioned problem. The method has been analyzed...
Montaj hattı dengeleme literatüründe hazırlık zamanlarını dikkate
The periodic vehicle routing problem (PVRP) is an extension of the well-known problem. In this paper, PVRP with time windows and spread constraints (PVRP-TWTS) addressed, which arises in high-value shipment transportation area. PVRP-TWTS, period-specific demands customers must be delivered by a fleet heterogeneous capacitated vehicles over several planning periods. Additionally, arrival times to customer should irregular within its window periods, waiting not allowed for due security...