In this paper we present the case study for the optimization of the production line by using
the balancing and discrete event simulation approach. First the basic theory and steps for …

Environmental changes and increased uncertainty due to technical damage, explosions and
large fires have caused the risk of an inevitable element in the gas industry. This study …

The problem of managing effective pedestrian evacuation during disruptions is a significant
challenge because of the complexity and randomness of the passenger flow dynamics as …

Urban rail planning is extremely complex, mainly because it is a decision problem under
different uncertainties. In practice, travel demand is generally uncertain, and therefore, the …

In this study, a multi-commodity network flow model is proposed to optimize the railroad
capacity under temporary line blockage. The proposed model enables the assessment of …

This paper focuses on developing mathematical optimization models for the train timetabling
problem with respect to dynamic travel demand and capacity constraints. The train …

Railway disturbance management is inherently a multi-objective optimization problem that
concerns both the operators' cost and passenger's service level. This study proposes a multi …

Disturbances in rail networks propagate delays and reduce the reliability and stability of the
train schedules. Thus, it is essential to manage the disturbances in rail networks. Railway …

Delays and disruptions reduce the reliability and stability of the rail operations. Railway
traffic rescheduling includes ways to manage the operations during and after the …

In recent years, rapid rail transit systems have played a unique role in transportation systems
due to the demand increase in accommodating passengers. This study proposes a …