Document Type
Article
Publication Date
2020
DOI
10.36001/ijphm.2016.v7i3.2413
Publication Title
International Journal of Prognostics and Health Management
Volume
7
Issue
3
Pages
1-12
Abstract
Successful use of prognostics involves the prediction of future system behaviors in an effort to maintain system availability and reduce the cost of maintenance and repairs. Recent work by the National Institute of Standards and Technology indicates that the field of prognostics and health management is vital for remaining competitive in today’s manufacturing environment. While prognostics-based maintenance involves many traditional operations research-centric challenges for successful deployment such as limited availability of information and concerns regarding computational efficiency, the authors argue in this paper that the field of prognostics and health management, still in its embryonic development stage, could benefit greatly from considering soft operations research techniques as well. Specifically, the authors propose the use of qualitative problem structuring techniques that aid in problem understanding and scoping. This paper provides an overview of these soft methods and discusses and demonstrates how manufacturers might use them. An approach combining problem structuring methods with traditional operations research techniques would help accelerate the development of the prognostics field.
ORCID
0000-0002-8012-2272 (Collins)
Original Publication Citation
Hester, P. T., Collins, A. J., Ezell, B., & Horst, J. (2020). A review of problem structuring methods for consideration in prognostics and smart manufacturing. International Journal of Prognostics and Health Management, 7(3), 1-12. https://doi.org/10.36001/ijphm.2016.v7i3.2413
Repository Citation
Hester, Patrick T.; Collins, Andrew J.; Ezell, Barry; and Horst, John, "A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing" (2020). Engineering Management & Systems Engineering Faculty Publications. 88.
https://digitalcommons.odu.edu/emse_fac_pubs/88
Included in
Manufacturing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Technology and Innovation Commons
Comments
© Patrick T. Hester et al.
This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.