An adaptive neuro fuzzy inference system for makespan estimation in multiprocessor no-wait two stage flow shop. - Rasoul Shafaei; Meysam Rabiee; M. Mirzaeyan (Int. J. Comput. Integr. Manuf., 2011)

No-wait two stage hybrid flow shop scheduling with genetic and adaptive imperialist competitive algorithms. - Nazanin Moradinasab; Rasoul Shafaei; Meysam Rabiee; Pezhman Ramezani (J. Exp. Theor. Artif. Intell., 2013)

Incorporating learning effect and deterioration for solving a SDST flexible job-shop scheduling problem with a hybrid meta-heuristic approach. - M. E. Tayebi Araghi; Fariborz Jolai; Meysam Rabiee (Int. J. Comput. Integr. Manuf., 2014)

No-wait flexible flowshop with uniform parallel machines and sequence-dependent setup time: a hybrid meta-heuristic approach. - Pezhman Ramezani; Meysam Rabiee; Fariborz Jolai (J. Intell. Manuf., 2015)

A biogeography-based optimisation algorithm for a realistic no-wait hybrid flow shop with unrelated parallel machines to minimise mean tardiness. - Meysam Rabiee; Fariborz Jolai; Hossein Asefi; Parviz Fattahi; Samsung Lim (Int. J. Comput. Integr. Manuf., 2016)

A decision support system for detecting and handling biased decision-makers in multi criteria group decision-making problems. - Meysam Rabiee; Babak Aslani; Jafar Rezaei 001 (Expert Syst. Appl., 2021)

A simulation-optimization model for solving flexible flow shop scheduling problems with rework and transportation. - Elmira Gheisariha; Madjid Tavana; Fariborz Jolai; Meysam Rabiee (Math. Comput. Simul., 2021)

An integrated decision support system for multi-target forecasting: A case study of energy load prediction for a solar-powered residential house. - Shaya Sheikh; Meysam Rabiee; Murtaza Nasir; Asil Oztekin (Comput. Ind. Eng., 2022)

An interactive decision support system for real-time ambulance relocation with priority guidelines. - Mahdi Hajiali; Ebrahim Teimoury; Meysam Rabiee; Dursun Delen (Decis. Support Syst., 2022)

A collaborative decision support system for multi-criteria automatic clustering. - Mona Jabbari; Shaya Sheikh; Meysam Rabiee; Asil Oztekin (Decis. Support Syst., 2022)

Designing an Agile, flexible and resilient disaster supply chain network using a hybrid group decision-making robust optimization framework. - Parisa Fallah; Meysam Rabiee; Abolghasem Yousefi Babadi; Emad Roghanian; Mostafa Hajiaghaei-Keshteli (Comput. Ind. Eng., 2023)

Navigating the new normal: Redefining N95 respirator design with an integrated text mining and quality function deployment-based optimization model. - Rajan Kumar Gangadhari; Pradeep Kumar Tarei; Pushpendu Chand; Meysam Rabiee; Dursun Delen (Comput. Ind. Eng., 2024)

Towards explainable artificial intelligence through expert-augmented supervised feature selection. - Meysam Rabiee; Mohsen Mirhashemi; Michael S. Pangburn; Saeed Piri; Dursun Delen (Decis. Support Syst., 2024)

Contextual relationships in Juran's quality principles for business sustainable growth under circular economy perspective: a decision support system approach. - Nishant Agrawal; Meysam Rabiee; Mona Jabbari (Ann. Oper. Res., 2024)

Ranking Vectors Clustering: Theory and Applications. - Ali Fattahi; Ali Eshragh; Babak Aslani; Meysam Rabiee (CoRR, 2025)