Polynomial Lower Bounds for the Two-Machine Flowshop Problem with Sequence-Independent Setup Times. - Anis Gharbi; Talel Ladhari; Mohamed Kais Msakni; Mehdi Serairi (Electron. Notes Discret. Math., 2010)

Minimizing the total completion time in a two-machine flowshop with sequence-independent setup times. - Talel Ladhari; Mohamed Kais Msakni; Ali Allahverdi (J. Oper. Res. Soc., 2012)

The two-machine flowshop scheduling problem with sequence-independent setup times: New lower bounding strategies. - Anis Gharbi; Talel Ladhari; Mohamed Kais Msakni; Mehdi Serairi (Eur. J. Oper. Res., 2013)

A discrete event simulation for the logistics of Hamad's container terminal of Qatar. - Mariam Kotachi; Ghaith Rabadi; Mohamed Kais Msakni; Mohammad Al-Salem; Ali H. Diabat (WSC, 2016)

A comprehensive annual delivery program for upstream liquefied natural gas supply chain. - Fatih Mutlu; Mohamed Kais Msakni; Hakan Yildiz; Erkut Sönmez; Shaligram Pokharel (Eur. J. Oper. Res., 2016)

Exact methods for the quay crane scheduling problem when tasks are modeled at the single container level. - Mohamed Kais Msakni; Ali Diabat; Ghaith Rabadi; Mohammad Al-Salem; Mariam Kotachi (Comput. Oper. Res., 2018)

Can Autonomous Ships Help Short-Sea Shipping Become More Cost-Efficient? - Mohamed Kais Msakni; Abeera Akbar; Anna K. A. Aasen; Kjetil Fagerholt; Frank Meisel; Elizabeth Lindstad (OR, 2019)

New characteristics of optimal solutions for the two-machine flowshop problem with unlimited buffers. - Ghaith Rabadi; Mohamed Kais Msakni; Elkin Rodriguez-Velasquez; William Alvarez-Bermudez (J. Oper. Res. Soc., 2019)

Combining Optimization and Simulation for Designing a Robust Short-Sea Feeder Network. - Carl Axel Benjamin Medbøen; Magnus Bolstad Holm; Mohamed Kais Msakni; Kjetil Fagerholt; Peter Schütz (Algorithms, 2020)

A Neural Network Model for Quality Prediction in the Automotive Industry. - Anders Risan; Mohamed Kais Msakni; Peter Schütz (APMS (5), 2021)

An economic analysis of introducing autonomous ships in a short-sea liner shipping network. - Abeera Akbar; Anna K. A. Aasen; Mohamed Kais Msakni; Kjetil Fagerholt; Elizabeth Lindstad; Frank Meisel (Int. Trans. Oper. Res., 2021)

Using machine learning prediction models for quality control: a case study from the automotive industry. - Mohamed Kais Msakni; Anders Risan; Peter Schütz (Comput. Manag. Sci., 2023)

Exact and heuristic approaches for maximizing flows in UAV-enabled wireless cellular networks with multi-hop backhauls. - Mariem Mhiri; Mohamed Kais Msakni; Mazen O. Hasna; Tamer Khattab; Mohamed Haouari (RAIRO Oper. Res., 2024)

Using machine learning to identify hidden constraints in vehicle routing problems. - Anna Konovalenko; Lars Magnus Hvattum; Mohamed Kais Msakni (Comput. Oper. Res., 2025)