Connor Jennings

Connor Jennings
Pennsylvania State University | Penn State · Department of Industrial and Manufacturing Engineering

MS Industrial Engineering, BS Economics, and BS Industrial Engineering

About

9
Publications
13,065
Reads
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520
Citations
Citations since 2016
8 Research Items
516 Citations
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2016201720182019202020212022020406080100120140
2016201720182019202020212022020406080100120140
2016201720182019202020212022020406080100120140
Additional affiliations
January 2016 - present
Pennsylvania State University
Position
  • Rsearcher
August 2013 - December 2015
Iowa State University
Position
  • Graduate Researcher

Publications

Publications (9)
Conference Paper
Full-text available
Understanding interactions between components is fundamental in the design of products. Design Structure Matrices (DSMs) are often used to represent the relationships between every component or subsystem in a product. The complex network of interactions can then be clustered into subassemblies and other hierarchies, aiding designers in making criti...
Article
The emergence of cloud computing, industrial internet of things (IIoT), and new machine learning techniques have shown the potential to advance prognostics and health management (PHM) in smart manufacturing. While model-based PHM techniques provide insight into the progression of faults in mechanical components, certain assumptions on the underlyin...
Conference Paper
Full-text available
Manufacturers have faced an increasing need for the development of predictive models that help predict mechanical failures and remaining useful life of a manufacturing system or its system components. Model-based or physics-based prognostics develops mathematical models based on physical laws or probability distributions, while an in-depth physical...
Article
Full-text available
Manufacturers have faced an increasing need for the development of predictive models that predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or components. Classical model-based or physics-based prognostics often require an in-depth physical understanding of the system of interest to develop closed-form mathema...
Conference Paper
Full-text available
With rapid innovation in the electronics industry, product obsolescence forecasting has become increasingly important. More accurate obsolescence forecasting would have cost reduction effects in product design and part procurement over a product’s lifetime. Currently many obsolescence forecasting methods require manual input or perform market analy...
Conference Paper
Full-text available
As products become more electronically complex and component lifecycles are shortened due to rapidly changing technologies, obsolescence management has become a challenging problem associated with sustainable products. One of the most common strategies to manage obsolescence is to purchase enough components to sustain the product over its life in o...

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Projects

Projects (2)
Archived project
The goal of the project was to compile and assess methods for optimizing Design Structure Matrix in the design of product families and platforms.