Publications

Dodin, P., Xiao, J., Adulyasak, Y., Etebari Alamdari, N., Gauthier, L., Grangier, P., Lemaitre, P., Hamilton, W. L., 2023. Bombardier Aftermarket Demand Forecast with Machine Learning. INFORMS Journal on Applied Analytics (To appear). [pdf] (working paper version)

Adulyasak, Y., Benomar, O., Chaouachi, A., Cohen, M., Khern-am-nuai, W., 2023. Data Analytics to Detect Panic Buying and Improve Products Distribution Amid Pandemic. AI & Society (To appear). [pdf] (working paper version)

Zhang, G., Zhu, N., Ma, S., Adulyasak, Y., 2023. Robust Drone Selective Routing Problem in Humanitarian Transportation Network Assessment. European Journal of Operational Research 305, no 1, 400-428. [Link]

Wu, L., Adulyasak, Y., Cordeau, J.-F., Wang, S., 2022. Vessel Service Planning in Seaports. Operations Research 70 (4), 2032-2053. [Link] [Codes and Instances] 

Thevenin, S., Adulyasak, Y., Cordeau, J.-F., 2022. Stochastic Dual Dynamic Programming for Multi-Echelon Lot-sizing with Component Substitution. INFORMS Journal on Computing. 34(6), 3151-3169. [Link] [Codes and Instances].

Metzker, P., Thevenin, S., Adulyasak, Y., Dolgui, A., 2022. Robust optimization for lot-sizing problems under yield uncertainty. Computers & Operations Research 149, 1-16. [Link]

Martinez, K., Adulyasak, Y., Jans, R., 2022. Logic–Based Benders Reformulations for Integrated Process Configuration and Production Planning Problems. INFORMS Journal on Computing 34 (4), 2177-2191. [Link]

Yu, Q., Adulyasak, Y., Rousseau, L.-M., Zhu, N., Ma, S., 2022. Team Orienteering with Time-Varying Profit. INFORMS Journal on Computing. 34(1), 262-280. [Link] [Instances]

Nguyen, D.-T., Adulyasak, Y., Cordeau, J.-F., Ponce, S., 2022. Data-Driven Operations and Supply Chain Management: Established Research Clusters from 2000 to early 2020. International Journal of Production Research 60 (17), 5407-5431. [Link][Supplement]

Thevenin, S., Adulyasak, Y., Cordeau, J.-F., 2021. Material Requirements Planning Under Demand Uncertainty Using Stochastic Optimization. Production and Operations Management 30 (2). 475-493. [Link] [Supplement] [Codes and Instances] 

Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2021. Robust Facility Location under Disruptions. INFORMS Journal on Optimization. 3(3). 298-314. [Link]

Sereshti, N., Adulyasak, Y., Jans, R., 2021. The Value of Aggregate Service Levels in Stochastic Lot Sizing Problem. Omega: The International Journal of Management Science 102. 102335. [Link] 

• Best Paper Awards 2021 – Omega

Hoogeboom, M., Adulyasak, Y., Dullaert, W., Jaillet, P. 2021. The Robust Vehicle Routing Problem with Time Window Assignments. Transportation Science. 55 (2). 275-552. [Link] 

Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2021. Robust Facility Location Under Demand Uncertainty and Facility Disruptions. Omega: The International Journal of Management Science 103. 102429. [Link] 

Nguyen, D.-T., Adulyasak, Y., Landry, S., 2021. Bullwhip Effect in Rule-Based Supply Chain Planning Systems: A Case-Based Simulation at a Hard Goods Retailer. Omega: The International Journal of Management Science 98. 102121. [Link]

Yarkony, J., Adulyasak, Y., Singh, M., Desaulniers, G. 2020. Data Association via Set Packing for Computer Vision Applications. INFORMS Journal on Optimization 2(3). 145-228. [Link]

Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2020. Drone Routing with Energy Function: Formulation and Exact Algorithm. Transportation Research Part B: Methodological 139. 364-387. [Link]

Martinez, K., Adulyasak, Y., Jans, R., Morabito, R., Toso,  E.A.V., 2019. An Exact Optimization Approach for an Integrated Process Configuration, Lot-Sizing and Scheduling Problem. Computers & Operations Research 103. 310-323. [Link]

Deudon, M., Cournut, P., Lacoste, A., Adulyasak, Y., Rousseau, L.-M., 2018. Learning Heuristics for the TSP by Policy Gradient. In: van Hoeve WJ. (eds) Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR). Lecture Notes in Computer Science, vol 10848. [Link]. Here is the excellent [Github] by M. Deudon.

Ahmed, A., Varakantham, P., Lowalekar, M. , Adulyasak Y., Jaillet, P., 2017. Sampling based Approaches for Minimizing Regret in Uncertain Markov Decision Problems (MDPs). Journal of Artificial Intelligence Research 59. 229-264. [pdf]

Ghosh, S., Varakantham, P., Adulyasak, Y., Jaillet, P., 2017. Dynamic Redeployment to Reduce Lost Demand in Bike Sharing Systems. Journal of Artificial Intelligence Research 58, 387-430. [pdf]

Adulyasak, Y., Jaillet, P., 2016. Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines. Transportation Science 50 (2). 608-626. [Link] [Supplement]

Adulyasak, Y., Cordeau, J.-F., Jans, R., 2015. Benders Decomposition for Production Routing under Demand Uncertainty. Operations Research 63 (4). 851-867. [Link] [Supplement]

Ghosh, S., Varakantham, P., Adulyasak, Y., Jaillet, P., 2015. Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. 25th International Conference on Automated Planning and Scheduling (ICAPS). [pdf]

Adulyasak, Y., Varakantham, P., Jaillet, P., 2015. Solving Uncertain MDPs with Objectives that are Separable over Instantiations of Model Uncertainty. 29th Conference on Artificial Intelligence (AAAI). [pdf]

Adulyasak, Y., Cordeau, J.-F., Jans, R., 2014. The Production Routing Problem: A Review of Formulations and Solution Algorithms. Computers & Operations Research 55. 141-152. [Link]

Adulyasak, Y., Cordeau, J.-F., Jans, R., 2014. Formulations and Branch-and-Cut Algorithms for Multivehicle Production and Inventory Routing Problems. INFORMS Journal on Computing 26 (1). 103-120. [Link] [Supplement] [instances and results]

Adulyasak, Y., Cordeau, J.-F., Jans, R., 2014. Optimization-Based Adaptive Large Neighborhood Search for the Production Routing Problem. Transportation Science 48 (1). 20-45. [Link] [instances and results]

Varakantham, P., Adulyasak, Y., Jaillet, P., 2014. Decentralized Stochastic Planning with Anonymity in Interactions. 28th Conference on Artificial Intelligence (AAAI). [pdf]

Ahmed, A., Varakantham, P., Adulyasak, Y., Jaillet, P., 2013. Regret based Robust Solutions for Uncertain Markov Decision Processes. Advances in Neural Information Processing Systems (NeurIPS) 26. [pdf]