Optimal design of a data-driven inspection scheme with a decision support system for improving lot acceptance determination and supplier compliance.
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| Title: | Optimal design of a data-driven inspection scheme with a decision support system for improving lot acceptance determination and supplier compliance. |
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| Authors: | Wu, Chien-Wei1 (AUTHOR), Wang, To-Cheng2 (AUTHOR) cafa101001@gmail.com |
| Source: | Annals of Operations Research. May2026, p1-22. 22p. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 193920710 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimal design of a data-driven inspection scheme with a decision support system for improving lot acceptance determination and supplier compliance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wu%2C+Chien-Wei%22">Wu, Chien-Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+To-Cheng%22">Wang, To-Cheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> cafa101001@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. May2026, p1-22. 22p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193920710 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-026-07274-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Titles: – TitleFull: Optimal design of a data-driven inspection scheme with a decision support system for improving lot acceptance determination and supplier compliance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu, Chien-Wei – PersonEntity: Name: NameFull: Wang, To-Cheng IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02545330 Titles: – TitleFull: Annals of Operations Research Type: main |
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