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Abstract
Information has become today's addictive currency; hence, companies are investing billions in the creation of Internet of Things (IoT) frameworks that gamble on finding trends that reveal sustainability and/or efficiency improvements. This approach to “Big Data” can lead to blind, astronomical costs. Therefore, this paper presents a counter approach aimed at minimizing the cost of utilizing “Big Data” for sustainable value creation. The proposed approach leverages domain/expert knowledge of the system in combination with a machine learning algorithm in order to limit the needed infrastructure and cost. A case study of the approach implemented in a consumer electronics company is also included.
Document Type
Article
Publication Date
4-19-2017
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.procir.2016.11.213
Repository Citation
Bradley, Ryan; Jawahir, Ibrahim S.; Murrell, Niko; and Whitney, Julie, "Parallel Design of a Product and Internet of Things (IoT) Architecture to Minimize the Cost of Utilizing Big Data (BD) for Sustainable Value Creation" (2017). Institute for Sustainable Manufacturing Faculty Publications. 3.
https://uknowledge.uky.edu/ism_facpub/3
Included in
Industrial and Product Design Commons, Science and Technology Studies Commons, Sustainability Commons, Technology and Innovation Commons
Notes/Citation Information
Published in Procedia CIRP, v. 61, p. 58-62.
© 2017 Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).