Simulation-optimization framework for train rescheduling in rapid rail transit

E Hassannayebi, A Sajedinejad… - Transportmetrica B …, 2021 - Taylor & Francis
One of the primary challenges of re-planning in high-speed urban railways is the
randomness of disruptive events. In this study, an integrated disturbance recovery model …

Supply chain management efficiency improvement in the automobile industry using lean six sigma and artificial neural network

V Ramakrishnan, N Ramasamy… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The main aim of this article is to improve the efficiency of supply chain management in the
automobile industry using two simulation software. The automotive industry like a car …

Complex adaptive systems, agent-based modeling and supply chain network management: A systematic literature review

MH Sadat Hosseini Khajouei, N Pilevari… - Journal of Industrial …, 2021 - jiems.icms.ac.ir
In recent decades, researchers are turning to the potential of ABMs to study complex
phenomena. Due to intrinsic interconnections, structural interactions and inter …

An event-driven simulation-optimisation approach to improve the resiliency of operation in a double-track urban rail line

A Shahabi, S Raissi, K Khalili-Damghani… - Journal of …, 2022 - Taylor & Francis
Urban rail transit often has high sensitivity against random disruptions. Hence regularity of
the rail services should be maintained to prevent adverse impacts. This study focused on an …

System dynamics modelling of fixed and dynamic Kanban controlled production systems: a supply chain perspective

N Rao, K Lanka, PRC Gopal - Journal of Modelling in Management, 2021 - emerald.com
Purpose Pull production systems have received much attention in the supply chain
management environment. The number of Kanbans is a key decision variable in the pull …