A Time-Restricted Stochastic Model of Supply Chain Based on Intermodal Transportation

Author(s):  
Yi Zhang ◽  
Lei Zhang
2012 ◽  
Vol 45 (6) ◽  
pp. 514-521
Author(s):  
S.M.J. MIRZAPOUR AL-E-HASHEM ◽  
Z. SAZVAR ◽  
A. BABOLI ◽  
Y. REKIK

2020 ◽  
Vol 58 (24) ◽  
pp. 7314-7333
Author(s):  
Violetta Giada Cannas ◽  
Federica Ciccullo ◽  
Margherita Pero ◽  
Roberto Cigolini

Author(s):  
Amit Upadhyay

Intermodal transportation requires multiple entities to manage diverse resources under complex regulations and contracts. In this paper, we carry out a multidisciplinary cross-functional analysis of container rail haulage pricing and operations in India. We discover that the total haulage cost of a container train unduly depends on the position of the containers within the train, which is referred to here as position arbitrage. The main objective of this paper is to introduce and analyze this new concept of arbitrage for the first time in the literature. We derive the limits to the arbitrage, present management insights and empirical results, and explain that the arbitrage is undesirable because of its adverse effects on the efficiency of the container supply chain. With a real case, we empirically show that container train operators can save an average of 450 million INR annually by exploiting the arbitrage. On completion of dedicated freight corridors, the annual total value of the arbitrage can increase by one billion Indian rupees. This research is also beneficial for the railways to understand the implications of haulage pricing on operational efficiency and also for the port operators and shippers to understand the implications of the arbitrage for their operations.


2014 ◽  
Vol 971-973 ◽  
pp. 2448-2451
Author(s):  
Da Li Jiang ◽  
Guang Fu Zhu ◽  
De Li

The study on multi-echelon inventory of supply chain is becoming more and more important in E-business era. This paper proposes a two-echelon inventory model with one supplier and several retailers, in which a certain service level has to be satisfied and the goal is to minimize the total inventory cost. In addtion it puts forward an effective algorithm for this model to obtain the optimal replenishment period and inventory level of each supply chain node.


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