Alp Akcay

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Topics

Dynamic Pricing

Reinforcement Learning

Traveling Salesman

Stochastic Simulation

Top Venues

Eur. J. Oper. Res.

Publications

Ipek Dursun, Anastasiia Grishina, Alp Akcay, Geert-Jan van Houtum
Spare parts recommendation for corrective maintenance of capital goods considering demand dependency. Eur. J. Oper. Res. 318 (1) (2024)
Nitish Singh, Alp Akcay, Quang-Vinh Dang, Tugce G. Martagan, Ivo Adan
Dispatching AGVs with battery constraints using deep reinforcement learning. Comput. Ind. Eng. 187 (2024)
Nitish Singh, Jeroen B. H. C. Didden, Alp Akcay, Tugce G. Martagan, Ivo J. B. F. Adan
Simulation-Based AGV Management with a Linear Dispatching Rule. WSC (2023)
Alp Akcay, Stephan Biller, Boon Ping Gan, Christoph Laroque, Guodong Shao
Maintenance and Operations of Manufacturing Digital Twins. WSC (2023)
Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang
Policies for the dynamic traveling maintainer problem with alerts. Eur. J. Oper. Res. 305 (3) (2023)
Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong
SCRE: special cargo relation extraction using representation learning. Neural Comput. Appl. 35 (25) (2023)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Setting Reserve Prices in Second-Price Auctions with Unobserved Bids. INFORMS J. Comput. 34 (6) (2022)
Jelle Adan, Alp Akcay, John Fowler, Marc Albers, Michael Geurtsen
Autonomous Scheduling in Semiconductor Back-End Manufacturing. WSC (2022)
Nitish Singh, Quang-Vinh Dang, Alp Akcay, Ivo Adan, Tugce G. Martagan
A matheuristic for AGV scheduling with battery constraints. Eur. J. Oper. Res. 298 (3) (2022)
Alp Akcay
An alert-assisted inspection policy for a production process with imperfect condition signals. Eur. J. Oper. Res. 298 (2) (2022)
Ipek Dursun, Alp Akcay, Geert-Jan van Houtum
Age-based maintenance under population heterogeneity: Optimal exploration and exploitation. Eur. J. Oper. Res. 301 (3) (2022)
Tugce G. Martagan, Alp Akcay, Maarten Koek, Ivo Adan
Optimal production decisions in biopharmaceutical fill-and-finish operations. IISE Trans. 53 (2) (2021)
Vahideh Reshadat, Alp Akcay, Kalliopi Zervanou, Yingqian Zhang, Eelco de Jong
Relation Representation Learning for Special Cargo Ontology. SSCI (2021)
Paulo da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning. SN Comput. Sci. 2 (5) (2021)
Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang
Policies for the Dynamic Traveling Maintainer Problem with Alerts. CoRR (2021)
Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Learning 2-opt Local Search from Heuristics as Expert Demonstrations. IJCNN (2021)
Jason Rhuggenaath, Reza Refaei Afshar, Alp Akcay, Yingqian Zhang, Uzay Kaymak, Fatih Çolak, Muratcan Tanyerli
Maximizing revenue for publishers using header bidding and ad exchange auctions. Oper. Res. Lett. 49 (2) (2021)
Alp Akcay, Engin Topan, Geert-Jan van Houtum
Machine tools with hidden defects: Optimal usage for maximum lifetime value. IISE Trans. 53 (1) (2021)
Bo Wang, Wei Xie, Tugce G. Martagan, Alp Akcay
Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control. CoRR (2021)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions. ECML/PKDD (2) (2020)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Algorithms for slate bandits with non-separable reward functions. CoRR (2020)
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. ACML (2020)
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. CoRR (2020)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
Dynamic Pricing Using Thompson Sampling with Fuzzy Events. IPMU (1) (2020)
Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Remaining useful lifetime prediction via deep domain adaptation. Reliab. Eng. Syst. Saf. 195 (2020)
Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Remaining Useful Lifetime Prediction via Deep Domain Adaptation. CoRR (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Optimizing reserve prices for publishers in online ad auctions. CIFEr (2019)
Patrick Cruysen, Jelle Adan, Joep Stokkermans, Ivo J. B. F. Adan, Alp Akcay
Wafer-to-Order Allocation in Semiconductor Back-End Production. WSC (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions. FUZZ-IEEE (2019)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand. SMC (2019)
Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. ECML/PKDD (3) (2019)
Bo Wang, Wei Xie, Tugce G. Martagan, Alp Akcay, Canan G. Corlu
Stochastic Simulation Model Development for Biopharmaceutical Production Process Risk Analysis and Stability Control. WSC (2019)
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, W. Lee, Uzay Kaymak
Data-driven Policy on Feasibility Determination for the Train Shunting Problem. CoRR (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions. CEC (2019)
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
Optimal display-ad allocation with guaranteed contracts and supply side platforms. Comput. Ind. Eng. 137 (2019)
Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. BNAIC/BENELEARN (2019)
Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer
Learning fuzzy decision trees using integer programming. FUZZ-IEEE (2018)
Emre Nadar, Alp Akcay, Mustafa Akan, Alan Scheller-Wolf
The Benefits of State Aggregation with Extreme-Point Weighting for Assemble-to-Order Systems. Oper. Res. 66 (4) (2018)
Alp Akcay, Bahar Biller
Input uncertainty in stochastic simulations in the presence of dependent discrete input variables. J. Simulation 12 (4) (2018)
Jelle Adan, Ivo J. B. F. Adan, Alp Akcay, Rick Van den Dobbelsteen, Joep Stokkermans
A Hybrid Genetic Algorithm for Parallel Machine Scheduling at Semiconductor Back-End Production. ICAPS (2018)
Jelle Adan, Stephan Sneijders, Alp Akcay, Ivo J. B. F. Adan
Re-Enactment simulation for Buffer Size Optimization in semiconductor Back-End production. WSC (2018)
Alp Akcay, Tugce G. Martagan, Canan G. Corlu
Risk Assessment in pharmaceutical supply Chains under unknown input-Model parameters. WSC (2018)
Alp Akcay, Canan G. Corlu
Simulation of inventory systems with unknown input models: a data-driven approach. Int. J. Prod. Res. 55 (19) (2017)
Alp Akcay, Tugce G. Martagan
Simulation-based production planning for engineer-to-order systems with random yield. WSC (2017)
Alp Akcay, Tugce G. Martagan
Stochastic simulation under input uncertainty for contract-manufacturer selection in pharmaceutical industry. WSC (2016)
Bahar Biller, Alp Akcay, Canan G. Corlu, Sridhar R. Tayur
A simulation-based support tool for data-driven decision making: operational testing for dependence modeling. WSC (2014)
Alp Akcay, Bahar Biller
Quantifying input uncertainty in an assemble-to-order system simulation with correlated input variables of mixed types. WSC (2014)
Alp Akcay, Bahar Biller, Sridhar R. Tayur
Near optimality guarantees for data-driven newsvendor with temporally dependent demand: A Monte Carlo approach. WSC (2013)
Alp Akcay, Bahar Biller, Sridhar R. Tayur
A simulation-based approach to capturing autocorrelated demand parameter uncertainty in inventory management. WSC (2012)
Alp Akcay
A simulation-based approach to statistical inventory management. WSC (2012)
Alp Akcay, Bahar Biller, Sridhar R. Tayur
Improved Inventory Targets in the Presence of Limited Historical Demand Data. Manuf. Serv. Oper. Manag. 13 (3) (2011)