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Modelling and optimizing a system for testing electronic circuit boards

In this article we consider a difficult combinatorial optimization problem arising from the operation of a system for testing electronic circuit boards (ECB). This problem was proposed to us by a company that makes a system for testing ECBs and is looking for an efficient way of planning the tests o...

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Detalles Bibliográficos
Autores principales: Chen, Stephen Y., Marcotte, Odile, Morfin Ramírez, Mario Leonardo, Pugh, Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961488/
https://www.ncbi.nlm.nih.gov/pubmed/32010412
http://dx.doi.org/10.1186/s40929-017-0012-0
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author Chen, Stephen Y.
Marcotte, Odile
Morfin Ramírez, Mario Leonardo
Pugh, Mary
author_facet Chen, Stephen Y.
Marcotte, Odile
Morfin Ramírez, Mario Leonardo
Pugh, Mary
author_sort Chen, Stephen Y.
collection PubMed
description In this article we consider a difficult combinatorial optimization problem arising from the operation of a system for testing electronic circuit boards (ECB). This problem was proposed to us by a company that makes a system for testing ECBs and is looking for an efficient way of planning the tests on any given ECB. Because of its difficulty, we first split the problem into a covering subproblem and a sequencing subproblem. We also give a global formulation of the test planning problem. Then we present and discuss results pertaining to the covering and sequencing subproblems. These results demonstrate that their solution yields testing plans that are much better than those currently used by the company. Finally we conclude our article by outlining avenues for future research.
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spelling pubmed-69614882020-01-29 Modelling and optimizing a system for testing electronic circuit boards Chen, Stephen Y. Marcotte, Odile Morfin Ramírez, Mario Leonardo Pugh, Mary Math Ind Case Stud Research In this article we consider a difficult combinatorial optimization problem arising from the operation of a system for testing electronic circuit boards (ECB). This problem was proposed to us by a company that makes a system for testing ECBs and is looking for an efficient way of planning the tests on any given ECB. Because of its difficulty, we first split the problem into a covering subproblem and a sequencing subproblem. We also give a global formulation of the test planning problem. Then we present and discuss results pertaining to the covering and sequencing subproblems. These results demonstrate that their solution yields testing plans that are much better than those currently used by the company. Finally we conclude our article by outlining avenues for future research. Springer International Publishing 2017-09-20 2017 /pmc/articles/PMC6961488/ /pubmed/32010412 http://dx.doi.org/10.1186/s40929-017-0012-0 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Chen, Stephen Y.
Marcotte, Odile
Morfin Ramírez, Mario Leonardo
Pugh, Mary
Modelling and optimizing a system for testing electronic circuit boards
title Modelling and optimizing a system for testing electronic circuit boards
title_full Modelling and optimizing a system for testing electronic circuit boards
title_fullStr Modelling and optimizing a system for testing electronic circuit boards
title_full_unstemmed Modelling and optimizing a system for testing electronic circuit boards
title_short Modelling and optimizing a system for testing electronic circuit boards
title_sort modelling and optimizing a system for testing electronic circuit boards
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961488/
https://www.ncbi.nlm.nih.gov/pubmed/32010412
http://dx.doi.org/10.1186/s40929-017-0012-0
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