Abstract

In this paper, we consider a distribution system consisting of one distribution center (DC), a set of ports, and a set of retailers, in which the product is distributed to the retailers from the DC through the ports by the water transport, and study inventory management for the distribution system with considering the effect of the free storage periods provided by the ports. Inventory management for the distribution system is to determine the order intervals of the DC and the retailers while minimizing the inventory ordering and holding costs. Focusing on stationary and integer-ratio policies, we formulate this inventory management problem as an optimization problem with a convex objective function and a set of integer-ratio constraints and present O(Nlog⁡N) time algorithm to solve the relaxed problem (relaxing the integer-ratio constraints) to optimality, where N is the number of the retailers. We prove that the relaxed problem provides a lower bound on average cost for all the feasible policies (containing dynamic policies) for this inventory management problem. By using the optimal solution of the relaxed problem, we build a stationary integer-ratio policy (a power-of-two policy) for this inventory management problem and prove that the power-of-two policy can approximate the optimal inventory policy to 83% accuracy.

Highlights

  • With the growth of international trade and regional economic, from January 2017 to June 2018, the word seaborne trade increased by 4%, and total volumes reached 10.7 billion tons [1]

  • We consider a distribution system consisting of one distribution center (DC), a set of ports, and a set of retailers, in which the product is distributed to the retailers from the DC through the ports by the water transport, and study inventory management for the distribution system with considering the effect of the free storage periods provided by the ports

  • We study inventory management for the distribution system consisting with one DC, a set of ports, and a set of retailers

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Summary

Introduction

With the growth of international trade and regional economic, from January 2017 to June 2018, the word seaborne trade increased by 4%, and total volumes reached 10.7 billion tons [1]. Complexity strategy in the intermodal transport for the fast moving customer goods supply chain, in which the stocks are deployed at the intermodal terminals in advance of customer demands within the free storage period provided by the terminals. They analyze four different distribution strategies on a conceptual model and a container shipping scheduling problem and show that the floating stock strategy may lead to lower storage costs and a shorter ordering lead time. We study the inventory problem for the one DC multiretailer distribution system with considering the effect of the free storage periods provided by the ports.

Model Formulation and Solution Approach
Lower Bound Theorem
Power-of-Two Policies
Numerical Example
Findings
Conclusions
Full Text
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