A real-time decision support framework to mitigate degradation in perishable supply chains. - Xinglu Xu; Weihong Grace Guo; Mark D. Rodgers (Comput. Ind. Eng., 2020)

A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion. - Stamatis Tsianikas; Nooshin Yousefi; Jian Zhou 010; Mark D. Rodgers; David W. Coit (CoRR, 2020)

Economically and environmentally sustainable long-term power system expansion. - Saltuk Bugra Selçuklu; Mark D. Rodgers; Atabek Movlyanov (Comput. Ind. Eng., 2022)

A shortage probability metric for battery depletion risk. - Dashi I. Singham; Mark D. Rodgers (Oper. Res. Lett., 2022)

Optimizing multi-resource-based energy supply chains in developing economies: A periodic review model for affordable and sustainable solutions. - Kwon Gi Mun; Wenbo Cai; Mark D. Rodgers; Sungyong Choi (Comput. Ind. Eng., 2024)

A data-driven viable supply network for energy security and economic prosperity. - Kwon Gi Mun; Wenbo Cai; Mark D. Rodgers; Sungyong Choi (Int. J. Prod. Res., 2024)

Solving business problems: the business-driven data-supported process. - Mark D. Rodgers; Sayan Mukherjee 008; Benjamin Melamed; Alok Baveja; Ajai Kapoor (Ann. Oper. Res., 2024)

Multi-energy microgrid expansion planning with reliability consideration based on deep reinforcement learning. - Stamatis Tsianikas; Jian Zhou 010; Nooshin Yousefi; Mark D. Rodgers; David W. Coit (Comput. Ind. Eng., 2025)