Yazar "Erden, Caner" için listeleme
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Ant Colony optimization application in bottleneck station scheduling
Kılıçaslan, Emre; Demir, Halil Ibrahim; Kökçam, Abdullah Hulusi; Phanden, Rakesh Kumar; Erden, Caner (Elsevier Ltd, 2023)Finding optimal solutions to production planning and scheduling problems is crucial for surviving in a competitive environment and meeting customer expectations over time. Planning can become complicated in sectors with ... -
Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels
Çetin, Abdurrahman; Atali, Gökhan; Erden, Caner; Özkan, Sinan Serdar (Elsevier Ltd, 2024)In manufacturing, predicting and reducing electro-erosion wear during the electric discharge machining (EDM) process is critical to minimize delays, financial losses and product defects. Achieving this requires developing ... -
Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation
Kökçam, Abdullah Hulusi; Erden, Caner; Demir, Alparslan Serhat; Kurnaz, Talas Fikret (Springer Science and Business Media B.V., 2024)The geotechnical phenomenon of soil liquefaction has serious implications for infrastructure and human safety, making it crucial to develop effective prediction and mitigation strategies as urbanization and infrastructure ... -
A comparative analysis of ensemble learning algorithms with hyperparameter optimization for soil liquefaction prediction
Demir, Alparslan Serha; Kurnaz, Talas Fikret; Kökçam, Abdullah Hulusi; Erden, Caner; Dağdeviren, Uğur (Springer Science and Business Media Deutschland GmbH, 2024)Accurate prediction of soil liquefaction potential is crucial for evaluating the stability of structures in earthquake regions. This study focuses on predicting soil liquefaction using a dataset that included historical ... -
Distribution Center Location Selection in Humanitarian Logistics Using Hybrid BWM-ARAS: A Case Study in Turkiye
Erden, Caner; Ates, Cagdas; Esen, Sinan (WALTER DE GRUYTER GMBH, 2023)This study investigates the criteria affecting the location of humanitarian logistics distribution centers in the Sakarya province of Turkey, an area prone to natural disasters. The study identifies potential distribution ... -
Dynamic integrated process planning, scheduling and due-date assignment using ant colony optimization
Demir, Halil İbrahim; Erden, Caner (Pergamon-Elsevier Science Ltd, 2020)This paper presents two well-known meta-heuristics which are Genetic Algorithm (GA) and Ant Colony Optimization Algorithm (ACO) to solve the dynamic integrated process planning, scheduling and due date assignment problem ... -
Evaluation of data preprocessing and feature selection process for prediction of hourly PM10 concentration using long short-term memory models
Aksangur, Ipek; Eren, Beytullah; Erden, Caner (Elsevier Sci Ltd, 2022)Studies have confirmed that PM10, defined as respirable particles with diameters of 10 mu m and smaller, has adverse effects on human health and the environment. Various estimation methods are employed to determine the ... -
Hybrid Evolutionary Strategy and Simulated Annealing Algorithms for Integrated Process Planning, Scheduling and Due-Date Assignment Problem
Demir, Halil İbrahim; Phanden, Rakesh Kumar; Kökçam, Abdullah Hulusi; Erkayman, Burak; Erden, Caner (2021)Although integrated process planning and scheduling (IPPS) problem is studied extensively as scheduling with due-date assignment problem (SWDDA) in the literature, there are only a few studies on integration of these three ... -
A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
Kurnaz, Talas Fikret; Erden, Caner; Kökçam, Abdullah Hulusi; Dağdeviren, Uğur; Demir, Alparslan Serhat (Elsevier B.V., 2023)Soil liquefaction during earthquakes is a complex geotechnical engineering problem. Although various analytical approaches exist for predicting liquefaction risk, their limitations have led researchers to explore using ... -
A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
Kurnaz, Talas Fikret; Erden, Caner; Kokcam, Abdullah Hulusi; Dagdeviren, Ugur; Demir, Alparslan Serhat (ELSEVIER, 2023)Soil liquefaction during earthquakes is a complex geotechnical engineering problem. Although various analytical approaches exist for predicting liquefaction risk, their limitations have led researchers to explore using ... -
Integrated Process Planning, Scheduling, and Due-Date Assignment
Demir, Halil İbrahim; Kökçam, Abdullah Hulusi; Erden, Caner (CRC Press, 2024)Traditionally, the three most important manufacturing functions are process planning, scheduling, and due-date assignment, which are handled sequentially and separately.This book integrates these manufacturing processes ... -
Machine learning approaches for prediction of fine-grained soils liquefaction
Ozsagir, Mustafa; Erden, Caner; Bol, Ertan; Sert, Sedat; Ozocak, Askin (Elsevier Sci Ltd, 2022)Since soil liquefaction is a dimension that increases the amount and severity of losses in an earthquake, it is vital to estimate the liquefaction potential accurately. Traditionally, several analytical inferences were ... -
Meta-heuristic algorithms for integrating manufacturing and supply chain functions
Canpolat, Onur; İbrahim Demir, Halil; Erden, Caner (Elsevier Ltd, 2024)This study proposes an integrated framework that incorporates essential manufacturing and supply chain functions. These functions encompass process planning, scheduling, due-date assignment, and delivery optimization. The ... -
Modeling Electro-Erosion Wear of Cryogenic Treated Electrodes of Mold Steels Using Machine Learning Algorithms
Çetin, Abdurrahman; Atali, Gökhan; Erden, Caner; Özkan, Sinan Serdar (Springer Science and Business Media Deutschland GmbH, 2024)Electro-erosion wear (EEW) is a significant problem in the mold steel industry, as it can greatly reduce the lifespan of electrodes. This study presents a machine-learning approach for predicting and modeling electrode and ... -
Sentiment Analysis of Twitter Data of Hepsiburada E-commerce Site Customers with Natural Language Processing
Şimşek, İsmail; Kökçam, Abdullah Hulusi; Demir, Halil Ibrahim; Erden, Caner (Springer Science and Business Media Deutschland GmbH, 2024)Social media usage has significantly increased, allowing people to freely express their wishes and complaints through these platforms. Consequently, this has caused a significant increase in data, providing information ... -
A Tabu Search and Hybrid Evolutionary Strategies Algorithms for the Integrated Process Planning and Scheduling with Due-date Agreement
There are three important functions of manufacturing which are process planning, scheduling and due date assignment. Instead of executing these functions separately, combining them together helps making more realistic and ... -
Welding strength prediction in nuts to sheets joints: machine learning and ANFIS comparative analysis
This study uses machine learning algorithms and the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict welding strength in DD13 sheet metal joints with AISI 1010 nuts. The objective is to optimize industrial welding ...