A fuzzy multi-objective routing model for managing hazardous materials door-to-door transportation in the road-rail multimodal network with uncertain demand and …

Y Sun - Ieee Access, 2020 - ieeexplore.ieee.org
A routing optimization with risk control and reduction provides a quantitative support for an
efficient organization of the hazardous materials transportation where road-rail multimodal …

[HTML][HTML] Green road–rail intermodal routing problem with improved pickup and delivery services integrating truck departure time planning under uncertainty: An …

Y Sun, N Yu, B Huang - Complex & Intelligent Systems, 2022 - Springer
This paper addresses the multi-objective optimization for the road–rail intermodal routing
problem that aims to minimize the total costs and carbon dioxide emissions of the routes. To …

[HTML][HTML] Bi-objective modelling for hazardous materials road–rail multimodal routing problem with railway schedule-based space–time constraints

Y Sun, M Lang, D Wang - … journal of environmental research and public …, 2016 - mdpi.com
The transportation of hazardous materials is always accompanied by considerable risk that
will impact public and environment security. As an efficient and reliable transportation …

[HTML][HTML] A bi-objective fuzzy credibilistic chance-constrained programming approach for the hazardous materials road-rail multimodal routing problem under …

Y Sun, X Li, X Liang, C Zhang - Sustainability, 2019 - mdpi.com
Hazardous materials transportation involves extensive risk and cannot be avoided in
practice. An advanced routing, however, can help to reduce the risk by planning the best …

Green and Reliable Freight Routing Problem in the Road‐Rail Intermodal Transportation Network with Uncertain Parameters: A Fuzzy Goal Programming Approach

Y Sun - Journal of Advanced Transportation, 2020 - Wiley Online Library
In this study, the author focuses on modeling and optimizing a freight routing problem in a
road‐rail intermodal transportation network that combines the hub‐and‐spoke and point‐to …

[HTML][HTML] Fuzzy programming approaches for modeling a customer-centred freight routing problem in the road-rail intermodal hub-and-spoke network with fuzzy soft …

Y Sun, X Li - Mathematics, 2019 - mdpi.com
In this study, we systematically investigate a road-rail intermodal routing problem the
optimization of which is oriented on the customer demands on transportation economy …

Chance-constrained optimization for a green multimodal routing problem with soft time window under twofold uncertainty

X Li, Y Sun, J Qi, D Wang - Axioms, 2024 - mdpi.com
This study investigates a green multimodal routing problem with soft time window. The
objective of routing is to minimize the total costs of accomplishing the multimodal …

[HTML][HTML] A fuzzy programming method for modeling demand uncertainty in the capacitated road–rail multimodal routing problem with time windows

Y Sun, X Liang, X Li, C Zhang - Symmetry, 2019 - mdpi.com
Demand uncertainty is an important issue that influences the strategic, tactical, and
operational-level decision making in the transportation/logistics/supply chain planning. In …

Fuzzy approaches and simulation-based reliability modeling to solve a Road–Rail intermodal routing problem with soft delivery time windows when demand and …

Y Sun - International Journal of Fuzzy Systems, 2020 - Springer
In this study, a freight routing problem considering both soft delivery time windows and
demand and capacity uncertainty in a road–rail intermodal transportation system is …

A Time‐Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion

Y Sun, M Hrušovský, C Zhang, M Lang - Complexity, 2018 - Wiley Online Library
This study explores an operational‐level container routing problem in the road‐rail
multimodal service network. In response to the demand for an environmentally friendly …