Multi-item distribution policies with supply hub and lateral transshipment
type: Item
instance of: scholarly article
title: Multi-item distribution policies with supply hub and lateral transshipment
zbMATH Open document ID: 1394.90093
DOI: 10.1155/2015/702482
author: Jin-Hong Zhong
author: Rui-Xuan Jiang
author: Gui Zheng
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 90B06
zbMATH DE Number: 6927019
Wikidata QID: Q59118962
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/702482
OpenAlex ID: W2139216096
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description: scientific article; zbMATH DE number 6927019