Systematic continuous improvement model for variation management of key characteristics running with low capability.
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| Title: | Systematic continuous improvement model for variation management of key characteristics running with low capability. |
|---|---|
| Authors: | Estrada, Gabriela1 (AUTHOR) gabriela.estrada@cetys.mx, Shunk, Dan L.2 (AUTHOR), Ju, Feng2 (AUTHOR) |
| Source: | International Journal of Production Research. 2018, Vol. 56 Issue 6, p2370-2387. 18p. |
| Subjects: | Aerospace industries, Continuous improvement process, Rework (Printed circuits), Scrap materials, Knowledge management, Operational risk |
| Abstract: | A systematic continuous improvement model (SCIM) is described in this paper. This model responds to improvements opportunities that were identified in the literature and aerospace companies to aim in variation management of KCs and for developing solutions to improve issues in KCs. This approach helps to identify and improve key characteristics (KCs) in products that most influence in rework and scrap costs, especially in material removal processes. SCIM complies with two purposes; a mathematical method to calculate the rework cost for KCs as a variable in function of expected amount of material to be removed. This cost plus scrap cost is used to prioritise KCs running with low capability; this prioritisation is performed by predicting rework and scrap costs based on historical data of manufacturing processes performance, costs associated to rework and scrap parts out of specification and forecast for product demand. Once critical KCs are identified, the second purpose of this model helps engineers to develop solutions to eliminate what is causing KCs running with low capability; this is possible using knowledge management methodologies to capture, structure and storage solutions developed, in order to reuse them in future similar issues. A case study is presented in this paper to apply this model. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 129867206 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Systematic continuous improvement model for variation management of key characteristics running with low capability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Estrada%2C+Gabriela%22">Estrada, Gabriela</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gabriela.estrada@cetys.mx</i><br /><searchLink fieldCode="AR" term="%22Shunk%2C+Dan+L%2E%22">Shunk, Dan L.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ju%2C+Feng%22">Ju, Feng</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. 2018, Vol. 56 Issue 6, p2370-2387. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Aerospace+industries%22">Aerospace industries</searchLink><br /><searchLink fieldCode="DE" term="%22Continuous+improvement+process%22">Continuous improvement process</searchLink><br /><searchLink fieldCode="DE" term="%22Rework+%28Printed+circuits%29%22">Rework (Printed circuits)</searchLink><br /><searchLink fieldCode="DE" term="%22Scrap+materials%22">Scrap materials</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Operational+risk%22">Operational risk</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A systematic continuous improvement model (SCIM) is described in this paper. This model responds to improvements opportunities that were identified in the literature and aerospace companies to aim in variation management of KCs and for developing solutions to improve issues in KCs. This approach helps to identify and improve key characteristics (KCs) in products that most influence in rework and scrap costs, especially in material removal processes. SCIM complies with two purposes; a mathematical method to calculate the rework cost for KCs as a variable in function of expected amount of material to be removed. This cost plus scrap cost is used to prioritise KCs running with low capability; this prioritisation is performed by predicting rework and scrap costs based on historical data of manufacturing processes performance, costs associated to rework and scrap parts out of specification and forecast for product demand. Once critical KCs are identified, the second purpose of this model helps engineers to develop solutions to eliminate what is causing KCs running with low capability; this is possible using knowledge management methodologies to capture, structure and storage solutions developed, in order to reuse them in future similar issues. A case study is presented in this paper to apply this model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207543.2017.1369599 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 2370 Subjects: – SubjectFull: Aerospace industries Type: general – SubjectFull: Continuous improvement process Type: general – SubjectFull: Rework (Printed circuits) Type: general – SubjectFull: Scrap materials Type: general – SubjectFull: Knowledge management Type: general – SubjectFull: Operational risk Type: general Titles: – TitleFull: Systematic continuous improvement model for variation management of key characteristics running with low capability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Estrada, Gabriela – PersonEntity: Name: NameFull: Shunk, Dan L. – PersonEntity: Name: NameFull: Ju, Feng IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: 2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 56 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Production Research Type: main |
| ResultId | 1 |
