Alp Akcay

Orcid: 0000-0003-2000-6816

According to our database1, Alp Akcay authored at least 46 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Dispatching AGVs with battery constraints using deep reinforcement learning.
Comput. Ind. Eng., January, 2024

2023
SCRE: special cargo relation extraction using representation learning.
Neural Comput. Appl., September, 2023

Policies for the dynamic traveling maintainer problem with alerts.
Eur. J. Oper. Res., 2023

Simulation-Based AGV Management with a Linear Dispatching Rule.
Proceedings of the Winter Simulation Conference, 2023

Maintenance and Operations of Manufacturing Digital Twins.
Proceedings of the Winter Simulation Conference, 2023

On-Demand and Model-Driven Case Building Based on Distributed Data Sources.
Proceedings of the Case-Based Reasoning Research and Development, 2023

2022
A matheuristic for AGV scheduling with battery constraints.
Eur. J. Oper. Res., 2022

Age-based maintenance under population heterogeneity: Optimal exploration and exploitation.
Eur. J. Oper. Res., 2022

An alert-assisted inspection policy for a production process with imperfect condition signals.
Eur. J. Oper. Res., 2022

Autonomous Scheduling in Semiconductor Back-End Manufacturing.
Proceedings of the Winter Simulation Conference, 2022

Knowledge Modeling and Incident Analysis for Special Cargo.
Proceedings of the Technologies and Applications for Big Data Value, 2022

2021
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning.
SN Comput. Sci., 2021

Maximizing revenue for publishers using header bidding and ad exchange auctions.
Oper. Res. Lett., 2021

Optimal production decisions in biopharmaceutical fill-and-finish operations.
IISE Trans., 2021

Machine tools with hidden defects: Optimal usage for maximum lifetime value.
IISE Trans., 2021

Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control.
CoRR, 2021

Relation Representation Learning for Special Cargo Ontology.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Learning 2-opt Local Search from Heuristics as Expert Demonstrations.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Remaining useful lifetime prediction via deep domain adaptation.
Reliab. Eng. Syst. Saf., 2020

Algorithms for slate bandits with non-separable reward functions.
CoRR, 2020

Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dynamic Pricing Using Thompson Sampling with Fuzzy Events.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Optimal display-ad allocation with guaranteed contracts and supply side platforms.
Comput. Ind. Eng., 2019

Stochastic Simulation Model Development for Biopharmaceutical Production Process Risk Analysis and Stability Control.
Proceedings of the 2019 Winter Simulation Conference, 2019

Wafer-to-Order Allocation in Semiconductor Back-End Production.
Proceedings of the 2019 Winter Simulation Conference, 2019

A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Optimizing reserve prices for publishers in online ad auctions.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Input uncertainty in stochastic simulations in the presence of dependent discrete input variables.
J. Simulation, 2018

The Benefits of State Aggregation with Extreme-Point Weighting for Assemble-to-Order Systems.
Oper. Res., 2018

Risk Assessment in pharmaceutical supply Chains under unknown input-Model parameters.
Proceedings of the 2018 Winter Simulation Conference, 2018

Re-Enactment simulation for Buffer Size Optimization in semiconductor Back-End production.
Proceedings of the 2018 Winter Simulation Conference, 2018

Learning fuzzy decision trees using integer programming.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Hybrid Genetic Algorithm for Parallel Machine Scheduling at Semiconductor Back-End Production.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017
Simulation of inventory systems with unknown input models: a data-driven approach.
Int. J. Prod. Res., 2017

Simulation-based production planning for engineer-to-order systems with random yield.
Proceedings of the 2017 Winter Simulation Conference, 2017

2016
Stochastic simulation under input uncertainty for contract-manufacturer selection in pharmaceutical industry.
Proceedings of the Winter Simulation Conference, 2016

2014
A simulation-based support tool for data-driven decision making: operational testing for dependence modeling.
Proceedings of the 2014 Winter Simulation Conference, 2014

Quantifying input uncertainty in an assemble-to-order system simulation with correlated input variables of mixed types.
Proceedings of the 2014 Winter Simulation Conference, 2014

2013
Near optimality guarantees for data-driven newsvendor with temporally dependent demand: A Monte Carlo approach.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2012
A simulation-based approach to capturing autocorrelated demand parameter uncertainty in inventory management.
Proceedings of the Winter Simulation Conference, 2012

A simulation-based approach to statistical inventory management.
Proceedings of the Winter Simulation Conference, 2012

2011
Improved Inventory Targets in the Presence of Limited Historical Demand Data.
Manuf. Serv. Oper. Manag., 2011


  Loading...