ABSTRACT. Empirical evidence on sustainable product lifecycle management, industrial big data, and Internet of Things sensing networks in cyber-physical system-based smart factories has been scarcely documented in the literature. Using and replicating data from AlphaWise, BDO, Capgemini, Management Events, Morgan Stanley, and Software AG, I performed analyses and made estimates regarding big data-driven decision-making processes in Internet of Things-based real-time production logistics. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: industrial big data; smart factory; Internet of Things; cyber-physical system

How to cite: Tucker, G. (2021). “Sustainable Product Lifecycle Management, Industrial Big Data, and Internet of Things Sensing Networks in Cyber-Physical System-based Smart Factories,” Journal of Self-Governance and Management Economics 9(1): 9–19. doi: 10.22381/jsme9120211.

Received 18 January 2021 • Received in revised form 15 March 2021
Accepted 16 March 2021 • Available online 20 March 2021

Glenn Tucker
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Cognitive Decision-Making Algorithms
at ISBDA, Vancouver, Canada

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