Parallel Design of a Product and Internet of Things (IoT) Architecture to Minimize the Cost of Utilizing Big Data (BD) for Sustainable Value Creation

Ryan Bradley; I. S. Jawahir; Niko Murrell; Julie Whitney

doi:10.1016/j.procir.2016.11.213

Parallel Design of a Product and Internet of Things (IoT) Architecture to Minimize the Cost of Utilizing Big Data (BD) for Sustainable Value Creation

Ryan Bradley, I. S. Jawahir, Niko Murrell, Julie Whitney

Research output: Contribution to journal › Conference article › peer-review

13 Scopus citations

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.

Original language	English
Pages (from-to)	58-62
Number of pages	5
Journal	Procedia CIRP
Volume	61
DOIs	https://doi.org/10.1016/j.procir.2016.11.213
State	Published - 2017
Event	24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 - Kamakura, Japan Duration: Mar 8 2017 → Mar 10 2017

Bibliographical note

Publisher Copyright:
© 2017 The Authors.

Keywords

Big Data
Internet of Things
Machine Learning
Product Design
Sustainability

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.procir.2016.11.213

Cite this

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title = "Parallel Design of a Product and Internet of Things (IoT) Architecture to Minimize the Cost of Utilizing Big Data (BD) for Sustainable Value Creation",

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AU - Bradley, Ryan

AU - Jawahir, I. S.

AU - Murrell, Niko

AU - Whitney, Julie

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Big Data

KW - Internet of Things

KW - Machine Learning

KW - Product Design

KW - Sustainability

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DO - 10.1016/j.procir.2016.11.213

M3 - Conference article

AN - SCOPUS:85020004864

SN - 2212-8271

VL - 61

SP - 58

EP - 62

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017

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ER -

Parallel Design of a Product and Internet of Things (IoT) Architecture to Minimize the Cost of Utilizing Big Data (BD) for Sustainable Value Creation

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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