Mohamed Kais Msakni

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In this paper, we address the problem of two-machine flowshop scheduling problem with sequence independent setup times to minimize the total completion time. We propose five new polynomial lower bounds. Computational results based on randomly generated data show that our proposed lower bounds consistently outperform those of the literature.
We consider the problem of minimizing the sum of completion times in a two-machine permutation flowshop subject to setup times. We propose a new priority rule, several constructive heuristics, local search procedures, as well as an effective multiple crossover genetic algorithm. Computational experiments carried out on a large set of randomly generated(More)
Developing a cost-effective annual delivery program (ADP) is a challenging task for liquefied natural gas (LNG) suppliers, especially for LNG supply chains with large number of vessels and customers. Given significant operational costs in LNG delivery operations, cost-effective ADPs can yield substantial savings, adding up to millions. Providing an(More)
This paper investigates the integrated quay crane assignment and scheduling problem (QCASP). The problem requires determining the assignment of quay cranes to vessels and the scheduling of operations to be performed by each quay crane. Different practical aspects of the problem are considered including non-crossing and safety margin constraints. The(More)
A discrete even simulation is developed for the first container terminal of Hamad's new port of Qatar which is anticipated to start its operations by the end of 2016. The model is based on the operational knowledge of experts from the current port of Doha and Qatar's port authority (Mwani). The challenge in this paper is validating a simulation for a system(More)
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