Multimodal transportation planning with freight consolidation and volume discount on rail freight rate

Anoop, K P; Panicker, Vinay V.

doi:10.1080/19427867.2020.1852504

Cited by 5 publications

(3 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Maknoon ( 2017 ) presented a mixed integer programming and a branch and bound algorithm to solve the less-than-truckload transshipment problem. Anoop ( 2022 ) provided a detailed study of freight consolidation in rail and road intermodal transport. Lv ( 2019 ) provided a detailed quantitative description of the transit consolidation process and established a comparison of the hub to illustrate the effectiveness of the transfer mode for small batches of cargo with multiple ODs, which proved that transit consolidation can effectively improve tonnage utilization.…”

Section: Related Workmentioning

confidence: 99%

Optimization of multistage timeliness transit consolidation problem using adaptive-weighted genetic algorithm

Yang

Chew

2023

Ann Oper Res

View full text Add to dashboard Cite

Cargo consolidation is becoming a crucial part of international transportation and changing the customer consumption patterns of the international community. Poor connections between different operations and the delay of international express have motivated sellers and logistics organizers to put timeliness first in international multimodal transport, especially during the COVID-19 epidemic. However, for cargo with small quality and multiple batches, designing an efficient consolidation network presents a set of unique challenges, including the coupling of multiple origins and destinations (ODs), and fully utilizing the capacity of the container. We defined a multistage timeliness transit consolidation problem to decouple the multiple ODs of the logistics resource. By solving this problem, we can increase the connectivity between different phases and make full use of the container. To make this systematic multistage transit consolidation more flexible, we proposed a two-stage adaptive-weighted genetic algorithm that mainly focuses on the edge area of the Pareto front space and the diversity of the population. Computational experiments indicate that the correlation between parameters has certain regular trends, and appropriate parameter settings can lead to more satisfactory results. We also confirm that the pandemic has a giant influence on the market share of different transportation modes. Moreover, the comparison with other approaches demonstrates the feasibility and effectiveness of the proposed method.

show abstract

Section: Related Workmentioning

confidence: 99%

Optimization of multistage timeliness transit consolidation problem using adaptive-weighted genetic algorithm

Yang

Chew

2023

Ann Oper Res

View full text Add to dashboard Cite

show abstract

“…(2021) studied the benefits of consolidation of cargos in road transport, the consolidated services took the transport and handling costs into account and the findings revealed that it helped the smaller cargos to reduce costs compared to the large and medium cargos. KP and Panicker (2022) took the freight consolidation in a multimodal setup comprising of rail and road transport, where the network consisted of a central warehouse along with destination warehouses and the in-between transhipment materials. Hosoda et al .…”

Section: Introductionmentioning

confidence: 99%

“…Lukasik et al (2021) studied the benefits of consolidation of cargos in road transport, the consolidated services took the transport and handling costs into account and the findings revealed that it helped the smaller cargos to reduce costs compared to the large and medium cargos. KP and Panicker (2022) took the freight consolidation in a multimodal setup comprising of rail and road transport, where the network consisted of a central warehouse along with destination warehouses and the in-between transhipment materials. Hosoda et al (2022) proposed a model that attended the network of warehouses and consolidated locations The downstream supply chain network with transportation services, a multi-armed bandit problem was developed to delve deep into the warehouse clustering choices and subsequently choose those options which generate smaller transportation costs.…”

Section: Introductionmentioning

confidence: 99%

An optimization model for the downstream supply chain network, considering consolidated warehouses and the selection of transportation mode

Mishra,

Dutta,

Gottipalli

2023

IJPPM

View full text Add to dashboard Cite

PurposeThe supply chain (SC) of the fast-moving consumer goods (FMCG) sector in India witnessed a significant change soon after introducing the Goods and Services Tax (GST). With the initiation of this tax, companies started moving from individual state-wise warehouses to consolidation warehouses model to save costs. This paper proposes a model that frames a mathematical formulation to optimize the distribution network in the downstream SC by considering the complexities of multi-product lines, multi-transport modes and consolidated warehouses.Design/methodology/approachThe model is designed as mixed-integer linear programming (MILP), and an algorithm is developed that works on the feedback loop mechanism. It optimizes the transportation and warehouses rental costs simultaneously with impact analysis.FindingsTotal cost is primarily influenced by the critical factor transportation price rather than the warehouse rent. The choice of warehouses at prime locations was a trade-off between a lower distribution cost and higher rent tariffs.Research limitations/implicationsThe study enables FMCG firms to plan their downstream SC efficiently and to be in line with the recent trend of consolidation of warehouses. The study will help SC managers solve complexities such as multi-product categories, truck selection and consolidation warehouse selection problems and find the optimum value for each.Originality/valueThe issues addressed in the proposed work are transporting products with different sizes and weights, selecting consolidated warehouses, selecting suitable vehicles for transportation and optimizing distance in the distribution network by considering consolidated warehouses.

show abstract

Cost Allocation for Inventory Problem with Transportation Discount under Carbon Tax Policy

Chen,

Hou

2024

J. Syst. Sci. Syst. Eng.

View full text Add to dashboard Cite

Multimodal transportation planning with freight consolidation and volume discount on rail freight rate

Cited by 5 publications

References 51 publications

Optimization of multistage timeliness transit consolidation problem using adaptive-weighted genetic algorithm

Optimization of multistage timeliness transit consolidation problem using adaptive-weighted genetic algorithm

An optimization model for the downstream supply chain network, considering consolidated warehouses and the selection of transportation mode

Cost Allocation for Inventory Problem with Transportation Discount under Carbon Tax Policy

Contact Info

Product

Resources

About