A Nonpolynomial Optimal Algorithm for Sequencing Inspectors in a Repeat Inspection System with Rework

Assuming that two types of inspection errors are nonidentical and that only the items rejected by an inspector are reworked and sent to the next inspection cycle, we formulate a combinatorial optimization problem for simultaneously determining both the minimum frequency of inspection-rework cycles a...

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Veröffentlicht in:Mathematical problems in engineering Jg. 2015; H. 2015; S. 1 - 9
Hauptverfasser: Yang, Moon Hee, Cho, Jae Hyung
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2015
John Wiley & Sons, Inc
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ISSN:1024-123X, 1563-5147
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Abstract Assuming that two types of inspection errors are nonidentical and that only the items rejected by an inspector are reworked and sent to the next inspection cycle, we formulate a combinatorial optimization problem for simultaneously determining both the minimum frequency of inspection-rework cycles and the optimal sequence of inspectors selected from a set of available inspectors, in order to meet the constraints of the outgoing quality level. Based on the inherent properties from our mathematical model, we provide a nonpolynomial optimal algorithm with a time complexity of O ( 2 m ) .
AbstractList Assuming that two types of inspection errors are nonidentical and that only the items rejected by an inspector are reworked and sent to the next inspection cycle, we formulate a combinatorial optimization problem for simultaneously determining both the minimum frequency of inspection-rework cycles and the optimal sequence of inspectors selected from a set of available inspectors, in order to meet the constraints of the outgoing quality level. Based on the inherent properties from our mathematical model, we provide a nonpolynomial optimal algorithm with a time complexity of O ( 2 m ) .
Assuming that two types of inspection errors are nonidentical and that only the items rejected by an inspector are reworked and sent to the next inspection cycle, we formulate a combinatorial optimization problem for simultaneously determining both the minimum frequency of inspection-rework cycles and the optimal sequence of inspectors selected from a set of available inspectors, in order to meet the constraints of the outgoing quality level. Based on the inherent properties from our mathematical model, we provide a nonpolynomial optimal algorithm with a time complexity of O ( 2 m ) .
Assuming that two types of inspection errors are nonidentical and that only the items rejected by an inspector are reworked and sent to the next inspection cycle, we formulate a combinatorial optimization problem for simultaneously determining both the minimum frequency of inspection-rework cycles and the optimal sequence of inspectors selected from a set of available inspectors, in order to meet the constraints of the outgoing quality level. Based on the inherent properties from our mathematical model, we provide a nonpolynomial optimal algorithm with a time complexity of O( super(2m) ) .
Assuming that two types of inspection errors are nonidentical and that only the items rejected by an inspector are reworked and sent to the next inspection cycle, we formulate a combinatorial optimization problem for simultaneously determining both the minimum frequency of inspection-rework cycles and the optimal sequence of inspectors selected from a set of available inspectors, in order to meet the constraints of the outgoing quality level. Based on the inherent properties from our mathematical model, we provide a nonpolynomial optimal algorithm with a time complexity of O ( [superscript] 2 m [/superscript] ) .
Author Yang, Moon Hee
Cho, Jae Hyung
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Cites_doi 10.1080/07408178408974676
10.1080/05695558308974633
10.1080/00207543.2013.828171
10.1080/00224065.1987.11979032
10.1080/00207548808947854
10.1080/05695558308974608
10.1016/0925-5273(94)90124-4
10.1016/j.ejor.2007.02.033
10.1080/00207549408957049
10.1080/07408178608975345
10.1080/07408178808966196
10.1016/0377-2217(93)90307-9
ContentType Journal Article
Copyright Copyright © 2015 Moon Hee Yang and Jae Hyung Cho.
Copyright © 2015 Moon Hee Yang and Jae Hyung Cho. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright_xml – notice: Copyright © 2015 Moon Hee Yang and Jae Hyung Cho.
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SubjectTerms Algorithms
Combinatorial analysis
Complexity
Errors
Inspection
Inspection frequency
Inspections
Mathematical models
Mathematical problems
Optimization
Quality
Sequences
Sequencing
Sequential scheduling
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