A5071332795- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Sustainable Supply Chain Management
- Manufacturing Process and Optimization
- Facility Location and Emergency Management
- Scheduling and Optimization Algorithms
- Optimization and Mathematical Programming
- Municipal Solid Waste Management
- Digital Transformation in Industry
- Vehicle Routing Optimization Methods
- Recycling and Waste Management Techniques
- Multi-Criteria Decision Making
- Optimization and Packing Problems
- Flexible and Reconfigurable Manufacturing Systems
- Quality Function Deployment in Product Design
- Forecasting Techniques and Applications
- RFID technology advancements
- Extraction and Separation Processes
- Blood donation and transfusion practices
- Supply Chain and Inventory Management
- Disaster Management and Resilience
- Economic and Technological Innovation
- Stock Market Forecasting Methods
- Evacuation and Crowd Dynamics
- Quality and Supply Management
Istanbul Technical University
2015-2025
Erzincan Binali Yıldırım University
2023
Gebze Technical University
2022
Yıldız Technical University
2021
The background of sustainability is summed up by three words: Planet, People, and Profit. 3Ps require multi-objective research. This study analyzes the evaluation process optimization. Since it highly critical for decision makers to understand results models, Data Envelopment Analysis (DEA) approach used put Pareto-optimal model in an order analyze them. A case a reverse supply chain with four objectives namely economic, social, environmental legal taken into consideration. Results DEA...
Background: Each disaster has its specific resource requirements, varying based on size, location, and the affected region’s socio-economic level. Pre-disaster planning post-disaster dynamic allocation including material human resources is essential. Methods: To address challenges in response, a multi-objective two-stage stochastic programming model developed for search rescue first aid activities. The aims to minimize total unmet demand, number of transferred between regions, demand....
One-piece flow is a design rule that entails production in manufacturing cells on ‘make one, check and move-on one’ basis (Black, J.T., 2007. Design rules for implementing Toyota Production System. International Journal of Research, 45 (16), 3639–3664), which reduces lead time significantly. This paper proposes sequential methodology comprised mathematical model heuristic approach (HA) the hybrid cellular system (HMS), to facilitate one-piece practice. The employed cases small- medium-sized...
Purpose Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes tsunamis. Well-organized disaster response is for effectively managing medical centres, staff allocation casualty distribution during emergencies. To address this issue, study aims to introduce a multi-objective stochastic programming model enhance preparedness response, focusing on the critical first 72 h after earthquakes. The purpose optimize of...
Choosing the best Material Handling Equipment (MHE) is an aspect that needs to be considered in industrial sector because amount of capital involved procurement process very large. Many substantial factors influence MHE selection process. One popular approach was chosen resolve issue. The concept Multi-Criteria Decision Making (MCDM) popularly used it can solve and handle conflicting components This study proposes Analytical Hierarchy Process (AHP) Multi-Objective Optimization on Basis Ratio...
In order to respond part demands on time in an erratic demand environment, a complete road map for the design of hybrid cellular manufacturing systems (HMS) is proposed this study, based axiomatic (AD) principles, such that all functional requirements HMS are satisfied by corresponding parameters. With methodology, first, preliminary formed including exceptional operations. To facilitate one-piece flow within cells HMS, these exceptions eliminated decision rules, where alternative machines...
Abstract New part introduction is an important topic because customer expectations expanded and a large variety of parts must be produced by the production systems. Therefore, effect new to system performance at operational level should analysed in order verify that can processed within cells using current capacity machines workers or identify if there will any inter-cell flow due parts. In study, methodology incorporates both simulation Information Axiom Axiomatic Design (AD) best parameter...
Disaster management is a process that includes mitigation, preparedness, response and recovery stages. Operational strategies covering all stages must be developed in order to alleviate the negative effects of disasters. In this study, we aimed at minimizing number casualties could not transported hospitals after disaster, additional ambulances required stage, total transportation time. Besides, assumed data-driven decision support tool employed track up-to-date hospital capacities, so as...
Purpose The purpose of this paper is to statistically assess the effects design factors including usage data-driven decision support tool (DST), classification patients (triage), prioritization based on vital scores patients, number ambulances and hospital selection rules, casualty transportation system’s performance in large-scale disasters. Besides, a DST for proposed enhance survival ambulance times during disaster response stage. Design/methodology/approach In study, authors applied...