Redesign Driven by Manufacturing Data for Next-Generation Modernization of Legacy Products-Reference-Cited by-同舟云学术

Redesign Driven by Manufacturing Data for Next-Generation Modernization of Legacy Products

Published:2022-08-30 Issue:1 Volume:6 Page:20220007
ISSN:2520-6478
Container-title:Smart and Sustainable Manufacturing Systems
language:en
Short-container-title:Smart Sustain. Manuf. Syst.

Author:

Eddy Douglas¹,Krishnamurty Sundar²,Carrara Ryan³

Affiliation:

1. Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, 160 Governors Dr., Amherst, MA 01003, USA (Corresponding author), e-mail: dceddy@umass.edu, https://orcid.org/0000-0001-5707-1764

2. Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, 160 Governors Dr., Amherst, MA 01003, USA

3. Raytheon Technologies, 1001 Boston Post Rd. E, Marlborough, MA 01752, USA

Publisher

ASTM International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering

Reference33 articles.

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3. K. Feldman and P. Sandborn, “Integrating Technology Obsolescence Considerations into Product Design Planning,” inASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 4 (New York: ASME, 2007), 981–988, https://doi.org/10.1115/DETC2007-35881

4. Forecasting Obsolescence Risk and Product Life Cycle with Machine Learning;Jennings;IEEE Transactions on Components, Packaging and Manufacturing Technology,2016

5. A Data Mining Based Approach to Electronic Part Obsolescence Forecasting;Sandborn;IEEE Transactions on Components and Packaging Technologies,2007

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