Special Section Articles

Design Considerations for Building Distributed Supply Chain Management Systems Based on Cloud Computing

[+] Author and Article Information
Andreas M. Radke

mSE Solutions,
97B Amoy Street,
069971, Singapore
International School of Technology
and Management,
Feng Chia University,
100 Wenhua Road,
Taichung City 704, Taiwan
e-mail: aradke@mse-solutions.com

Mitchell M. Tseng

International School of Technology
and Management,
Feng Chia University,
100 Wenhua Road,
Taichung City 704, Taiwan
Department of Industrial Engineering
and Logistics Management,
Hong Kong University of Science
and Technology,
Clear Water Bay, Kowloon, Hong Kong
e-mail: mmtseng@fcuoa.fcu.edu.tw

Heteroskedasticity refers to the observation that the variability of a variable differs over the range of its predictor variable; this is often measured by the variance of the predicted variable.

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received October 15, 2014; final manuscript received May 25, 2015; published online July 8, 2015. Assoc. Editor: Lihui Wang.

J. Manuf. Sci. Eng 137(4), 040906 (Aug 01, 2015) (11 pages) Paper No: MANU-14-1540; doi: 10.1115/1.4030736 History: Received October 15, 2014; Revised May 25, 2015; Online July 08, 2015

Global manufacturing has extended the supply chain not only in span of networks and dispersion of geographical locations but also more importantly, it also transcends vast organizational boundaries among webs of long supply chains. Naturally, the information and computation technology (ICT) systems supporting these entities serve well on their own merits independently; however, the sharing of information among them in a responsive and agile and secure fashion is limited. The advent of cloud computing provides a distinct possibility to enhance sharing of information, to better apply modern analytic tools and to improve managing the controlled access as well as security. This paper is prepared to address the architectural issues of the data, analytics, and organizational layers.

Copyright © 2015 by ASME
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Grahic Jump Location
Fig. 1

Overview of SCM in the cloud




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