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Publication
Multi-dimensional layers framework for classifying waste in industrial plants
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| 1.05 MB | Adobe PDF |
Advisor(s)
Abstract(s)
The transition from Industry 4.0 to Industry 5.0 introduces new challenges in waste management, particularly digital, energy and human waste. However its not clear how
to classify and categorize without creating new dilemmas in the 8 traditional established wastes from Lean theory. To solve this problem, this paper aims to develop a multi-dimensional layers framework to classify waste by making a interpretation of the traditional lean principles into a digital and sustainable layer perspective. The methodology involves projecting the 8 lean wastes onto physical, digital, and sustainable layers, allowing for a comprehensive waste characterization. With this, its presented a framework that identifies various types of digital waste, such as defective data and excessive non-value-adding data, and high-lights the energy inefficiencies and human factors associated with
digital transformation. The results shows the framework’s ability to provide a n organized approach to attempt to classification new wastes typologies without creating new wastes and keeping the Lean theory at its original state. As such, this study contributes to the literature by expanding the concept of digital waste and integrating sustainability into waste typology and providing the implications of the layer expansion for future research.
Description
Keywords
Digital Transformation Sustainable Waste Digital Waste
Citation
Rossi, Arthur; Leitão, Paulo; Pontes, Joseane. (2024). Multi-Dimensional Layers Framework for Classifying Waste in Industrial Plants. In 3rd Industrial Electronics Society Annual On-Line Conference, ONCON 2024. p. 1-7
Publisher
Institute of Electrical and Electronics Engineers