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An innovative modelling framework for freight consolidation in transportation planning

Manoj Kumar & K. P. Anoop

IIMB Management Review2025https://doi.org/10.1016/j.iimb.2025.100550article
ABDC C
Weight
0.37

What the paper says

This paper addresses freight consolidation in rail transportation planning. Multiple demand destinations are served in a single trip to utilise the volume discount on freight rate. An efficient mixed-integer linear programming (MILP) based modelling framework is proposed to optimally allocate rail wagons to a given set of destinations considering the shipment options offered by Indian Railways. Twelve problem instances are derived using real data from an Indian food grain organisation and are solved to optimum using the CPLEX solver in quick time. The results indicate that multi-point orders can reduce the total transportation cost and ease the handling of shipments at terminals.

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https://doi.org/https://doi.org/10.1016/j.iimb.2025.100550

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@article{manoj2025,
  title        = {{An innovative modelling framework for freight consolidation in transportation planning}},
  author       = {Manoj Kumar & K. P. Anoop},
  journal      = {IIMB Management Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.iimb.2025.100550},
}

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An innovative modelling framework for freight consolidation in transportation planning

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.