Feasibility analysis of energy system optimization for a typical manufacturing factory with environmental and economic assessments

Chen, Wen; Fujii, Minoru; Sun, Lu

doi:10.1016/j.jclepro.2022.132887

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…In order to reach carbon-neutral aviation by 2050, factory optimization must improve significantly for composite structure manufacturing and other aerospace components. Fortunately, by focusing on certain elements of factory operation, such as minimizing energy consumption, organizations can achieve important benefits despite the current limitations of simulating with high fidelity an entire factory operation [39].…”

Section: Factory Optimizationmentioning

confidence: 99%

Digital Thread Roadmap for Manufacturing and Health Monitoring the Life Cycle of Composite Aerospace Components

Eskue

2023

Aerospace

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This paper provides a detailed review of a digital thread for composite aerospace components. The current state of the digital thread continues to progress and at an ever-accelerating rate due to advancements in supporting technologies such as AI, data capture/processing/storage, sensors, simulation, and blockchain. While the individual steps that make up the digital thread have made manufacturing innovation and benefits possible, the connection points of the thread are not consistently solid, with many experiments and proof-of-concepts being conducted, but with few full digital threads in deployment. Key gaps include the ability to handle such large and continuous amounts of data, the infrastructure needed to capture and process them for insight, and the AI-based analytics to build and scale enough to obtain the expected exponential benefits for life cycle insight and manufacturing optimization. Though some of these gaps may take specific technology innovations to advance, there is a specific roadmap that can be deployed immediately in order to obtain “rolling ROI” benefits that will scale in value as this cycle is repeated across the product line.

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Section: Factory Optimizationmentioning

confidence: 99%