@inproceedings{bc445bb402554417bcb579f3fa7bf0bb,
title = "Analysis for supply hub in industrial cluster: Classic vs. new perspective",
abstract = "An Industrial Cluster (IC) is a group of similar and interconnected companies in a particular field located in a geographic concentration to share common resources. The relationship of supply chain management (SCM) and ICs are not sufficiently investigated mathematically so far. In this research, Supply Hub in Industrial Cluster (SHIC) is proposed as a common provider of warehousing and logistics services to optimize the interactions of enterprises located within ICs. The experimental results show that the proposed model dominates the classic supply chain model through merging storage space and consolidation shipment.",
keywords = "Industrial Cluster (IC), Supply Chain Management (SCM), Supply hub, Third party logistics provider (3PL)",
author = "Vahid Kayvanfar and Husseini, \{S. M.Moattar\} and Behrooz Karimi and Sajadieh, \{Mohsen S.\} and Jun, \{Tan Wen\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Big Data, Big Data 2016 ; Conference date: 05-12-2016 Through 08-12-2016",
year = "2016",
doi = "10.1109/BigData.2016.7841043",
language = "English",
series = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3743--3748",
editor = "Ronay Ak and George Karypis and Yinglong Xia and Hu, \{Xiaohua Tony\} and Yu, \{Philip S.\} and James Joshi and Lyle Ungar and Ling Liu and Aki-Hiro Sato and Toyotaro Suzumura and Sudarsan Rachuri and Rama Govindaraju and Weijia Xu",
booktitle = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
address = "United States",
}