Abstract

Supply Hub is defined as the horizontal coordination among the suppliers while lateral transshipment is a horizontal coordination policy among the retailers. By considering the Supply Hub and lateral transshipment simultaneously, ones can reduce the total cost of the supply chain system and improve the response to customer requirement and the customers’ satisfaction. We investigate the distribution policies for the supply chain which consists of multisuppliers, single Supply Hub, and multidistributors. In the system, both Supply Hub and distributors adopt the (t,S) policy, Supply Hub will not be out of stock, and backlogging is forbidden. Customer requirements at distributors are assumed to be independent random variables complying with uniform distribution; transshipment is assumed to be bidirectional, instantaneous, and emergent. We establish the distribution models, respectively, for the cases of transshipment or no transshipment. For the case with transshipment, we design a GA-based solution method involving a two-stage selection technology, that is, firstly, selecting individuals from parent population to generate offspring chromosomes and, secondly, selecting individuals from the interim population comprising all of the parent and offspring genomes, to form the next-generation population. We show that lateral transshipment can increase the overall profit of the supply chain by the comparison examinations between the models with and without transshipment.

Highlights

  • The main objective of supply chain management (SCM) is to optimize the entire system [1]

  • This paper concentrated on the supply chain comprising multisupplier, Supply Hub, and multidistributor, established multi-item distribution model with lateral transshipment

  • To the best of our knowledge, this is the first study on the multilocation inventory system with Supply Hub and lateral transshipment

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Summary

Introduction

The main objective of supply chain management (SCM) is to optimize the entire system [1]. Lin [12] studies the supply chain involving multiple suppliers, single VMI Hub, multiple factories, and multiple customers and compares the two modes of supply inventory managed by firm itself and by VMI Hub. Qiu and Huang [13] put forward the concept of Supply Hub in Industrial Park (SHIP) aimed at warehousing and logistics services and establish the production/distribution models with and without SHIP, respectively, give a genetic algorithm to solve the models, and show that the freight consolidation is profitable to the entire industrial park. The sole relative research is the work of Chen et al [41] They addressed vendor’s distribution policy with transshipment under the VMI environment, for a centralized two-echelon supply chain with one vendor and two retailers selling products with a short life cycle and facing stochastic demand.

Problem Description and Hypothesis
The Multi-Item Distribution Model without Lateral Transshipment
The Multi-Item Distribution Model with Lateral Transshipment
The Algorithm to Solve the Model with Lateral Transshipment
Computation Examples
Findings
Conclusion
Full Text
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