Integrated simulation tool for quality support in the low-volume high-complexity electronics manufacturing domain
Low-volume high-complexity printed circuit board manufacturing is a highly dynamic domain because of prevailing global pressures. In such an evolving environment, quality issues caused by manufacturing defects are the major concern. The generation, detection and elimination of those defects further...
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Veröffentlicht in: | International journal of production research 2010-01, Vol.48 (1), p.45-68 |
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creator | Huertas Quintero, Lina A.M. West, Andrew A. Velandia, Diana M. Segura Conway, Paul P. Wilson, Anthony |
description | Low-volume high-complexity printed circuit board manufacturing is a highly dynamic domain because of prevailing global pressures. In such an evolving environment, quality issues caused by manufacturing defects are the major concern. The generation, detection and elimination of those defects further impact customer requirements and demands. Current practices in terms of identification and solution of quality issues have three major drawbacks: (i) the metrics used are not meaningful; (ii) several manual operations are involved; and (iii) there is no significant decision support. A novel integrated simulation tool for quality support in low-volume electronics manufacturing that overcomes these weaknesses is presented in this paper. The simulation tool supports current needs in the domain, i.e. knowledge capitalisation, waste reduction, right-first-time performance and agility, as well as the domain customer requirements, i.e. lead time, cost, quality and reliability. Quantitative results from a case study are presented as evidence of the usefulness of the tool in a real context. The results show that the approximately 80% non-value-added cost for the product studied is due to just two types of manufacturing defects. This outcome is key for root cause analysis based not only on defect quantity. |
doi_str_mv | 10.1080/00207540802427886 |
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The simulation tool supports current needs in the domain, i.e. knowledge capitalisation, waste reduction, right-first-time performance and agility, as well as the domain customer requirements, i.e. lead time, cost, quality and reliability. Quantitative results from a case study are presented as evidence of the usefulness of the tool in a real context. The results show that the approximately 80% non-value-added cost for the product studied is due to just two types of manufacturing defects. This outcome is key for root cause analysis based not only on defect quantity.</description><identifier>ISSN: 0020-7543</identifier><identifier>EISSN: 1366-588X</identifier><identifier>DOI: 10.1080/00207540802427886</identifier><identifier>CODEN: IJPRB8</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis Group</publisher><subject>Applied sciences ; Decision theory. 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Segura</creatorcontrib><creatorcontrib>Conway, Paul P.</creatorcontrib><creatorcontrib>Wilson, Anthony</creatorcontrib><title>Integrated simulation tool for quality support in the low-volume high-complexity electronics manufacturing domain</title><title>International journal of production research</title><description>Low-volume high-complexity printed circuit board manufacturing is a highly dynamic domain because of prevailing global pressures. In such an evolving environment, quality issues caused by manufacturing defects are the major concern. The generation, detection and elimination of those defects further impact customer requirements and demands. Current practices in terms of identification and solution of quality issues have three major drawbacks: (i) the metrics used are not meaningful; (ii) several manual operations are involved; and (iii) there is no significant decision support. A novel integrated simulation tool for quality support in low-volume electronics manufacturing that overcomes these weaknesses is presented in this paper. The simulation tool supports current needs in the domain, i.e. knowledge capitalisation, waste reduction, right-first-time performance and agility, as well as the domain customer requirements, i.e. lead time, cost, quality and reliability. Quantitative results from a case study are presented as evidence of the usefulness of the tool in a real context. The results show that the approximately 80% non-value-added cost for the product studied is due to just two types of manufacturing defects. This outcome is key for root cause analysis based not only on defect quantity.</description><subject>Applied sciences</subject><subject>Decision theory. Utility theory</subject><subject>Defective products</subject><subject>Defects</subject><subject>Electronics</subject><subject>Exact sciences and technology</subject><subject>integration</subject><subject>Manufacturing</subject><subject>Manufacturing defects</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Printed circuit boards</subject><subject>Printed circuits</subject><subject>Product quality</subject><subject>Reliability theory. 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subjects | Applied sciences Decision theory. Utility theory Defective products Defects Electronics Exact sciences and technology integration Manufacturing Manufacturing defects Operational research and scientific management Operational research. Management science Printed circuit boards Printed circuits Product quality Reliability theory. Replacement problems Root cause analysis Simulation simulation applications Studies Wastes |
title | Integrated simulation tool for quality support in the low-volume high-complexity electronics manufacturing domain |
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