A New Lot Sentencing Method for Products with Multiple Quality Characteristics Based on Process Yield Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.46254/na07.20220126
To make a cost-efficient and reliable lot disposition, various acceptance sampling strategies were developed for different perspectives in recent years.In this article, we propose a new method involving a flexible operating mechanism of decision rules, and the quality characteristic of interest of the inspected product considers multiple dimensions.The plan parameters, critical values and required sample size of the proposed method are obtained by solving a constructed optimization model, which minimizes the required average sample number (ASN) and constrains two non-linear equations under desirable quality levels of submission and tolerable sampling risks simultaneously.Both ASN and operating characteristic (OC) functions of the proposed method are derived based on the Markov chain technique.To examine the performance of the proposed method, several analyses are conducted and also compared with existing methods under the same conditions.The results indicated that the proposed method (i) has a better discriminatory power with equal sample consumption, (ii) requires a smaller ASN for inspection under the same conditions, (iii) provides a flexible operating procedure, which may avoid the disruption between the vendors and buyers.Thus, the proposed method provides a more efficient and reliable lot sentencing scheme for products with multiple quality characteristics.In addition, an example taken from the real-world application is illustrated to show the practicability of the proposed method.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.46254/na07.20220126
- https://ieomsociety.org/proceedings/2022orlando/126.pdf
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4377967137
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4377967137Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.46254/na07.20220126Digital Object Identifier
- Title
-
A New Lot Sentencing Method for Products with Multiple Quality Characteristics Based on Process YieldWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-24Full publication date if available
- Authors
-
Shih‐Wen Liu, Chien‐Wei WuList of authors in order
- Landing page
-
https://doi.org/10.46254/na07.20220126Publisher landing page
- PDF URL
-
https://ieomsociety.org/proceedings/2022orlando/126.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieomsociety.org/proceedings/2022orlando/126.pdfDirect OA link when available
- Concepts
-
Yield (engineering), Process (computing), Quality (philosophy), Computer science, Process engineering, Reliability engineering, Engineering, Materials science, Programming language, Epistemology, Philosophy, MetallurgyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4377967137 |
|---|---|
| doi | https://doi.org/10.46254/na07.20220126 |
| ids.doi | https://doi.org/10.46254/na07.20220126 |
| ids.openalex | https://openalex.org/W4377967137 |
| fwci | 0.0 |
| type | article |
| title | A New Lot Sentencing Method for Products with Multiple Quality Characteristics Based on Process Yield |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 422 |
| biblio.first_page | 421 |
| topics[0].id | https://openalex.org/T11443 |
| topics[0].field.id | https://openalex.org/fields/18 |
| topics[0].field.display_name | Decision Sciences |
| topics[0].score | 0.9771000146865845 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1804 |
| topics[0].subfield.display_name | Statistics, Probability and Uncertainty |
| topics[0].display_name | Advanced Statistical Process Monitoring |
| topics[1].id | https://openalex.org/T11159 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9746999740600586 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2209 |
| topics[1].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[1].display_name | Manufacturing Process and Optimization |
| topics[2].id | https://openalex.org/T13164 |
| topics[2].field.id | https://openalex.org/fields/14 |
| topics[2].field.display_name | Business, Management and Accounting |
| topics[2].score | 0.9352999925613403 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1408 |
| topics[2].subfield.display_name | Strategy and Management |
| topics[2].display_name | Quality and Management Systems |
| funders[0].id | https://openalex.org/F4320323092 |
| funders[0].ror | https://ror.org/00zdnkx70 |
| funders[0].display_name | National Tsing Hua University |
| funders[1].id | https://openalex.org/F4320324282 |
| funders[1].ror | https://ror.org/03w2j5y17 |
| funders[1].display_name | National University of Sciences and Technology |
| funders[2].id | https://openalex.org/F4320324515 |
| funders[2].ror | https://ror.org/00q09pe49 |
| funders[2].display_name | National Taiwan University of Science and Technology |
| funders[3].id | https://openalex.org/F4320325862 |
| funders[3].ror | https://ror.org/01nky7652 |
| funders[3].display_name | North China University of Technology |
| funders[4].id | https://openalex.org/F4320327756 |
| funders[4].ror | https://ror.org/019vsm959 |
| funders[4].display_name | National University of Science and Technology |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C134121241 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7514996528625488 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q899301 |
| concepts[0].display_name | Yield (engineering) |
| concepts[1].id | https://openalex.org/C98045186 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6927944421768188 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q205663 |
| concepts[1].display_name | Process (computing) |
| concepts[2].id | https://openalex.org/C2779530757 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6036965847015381 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1207505 |
| concepts[2].display_name | Quality (philosophy) |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5566697716712952 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C21880701 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5238156914710999 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2144042 |
| concepts[4].display_name | Process engineering |
| concepts[5].id | https://openalex.org/C200601418 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3631679117679596 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2193887 |
| concepts[5].display_name | Reliability engineering |
| concepts[6].id | https://openalex.org/C127413603 |
| concepts[6].level | 0 |
| concepts[6].score | 0.17295125126838684 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[6].display_name | Engineering |
| concepts[7].id | https://openalex.org/C192562407 |
| concepts[7].level | 0 |
| concepts[7].score | 0.13332721590995789 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[7].display_name | Materials science |
| concepts[8].id | https://openalex.org/C199360897 |
| concepts[8].level | 1 |
| concepts[8].score | 0.09751293063163757 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[8].display_name | Programming language |
| concepts[9].id | https://openalex.org/C111472728 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[9].display_name | Epistemology |
| concepts[10].id | https://openalex.org/C138885662 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[10].display_name | Philosophy |
| concepts[11].id | https://openalex.org/C191897082 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11467 |
| concepts[11].display_name | Metallurgy |
| keywords[0].id | https://openalex.org/keywords/yield |
| keywords[0].score | 0.7514996528625488 |
| keywords[0].display_name | Yield (engineering) |
| keywords[1].id | https://openalex.org/keywords/process |
| keywords[1].score | 0.6927944421768188 |
| keywords[1].display_name | Process (computing) |
| keywords[2].id | https://openalex.org/keywords/quality |
| keywords[2].score | 0.6036965847015381 |
| keywords[2].display_name | Quality (philosophy) |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5566697716712952 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/process-engineering |
| keywords[4].score | 0.5238156914710999 |
| keywords[4].display_name | Process engineering |
| keywords[5].id | https://openalex.org/keywords/reliability-engineering |
| keywords[5].score | 0.3631679117679596 |
| keywords[5].display_name | Reliability engineering |
| keywords[6].id | https://openalex.org/keywords/engineering |
| keywords[6].score | 0.17295125126838684 |
| keywords[6].display_name | Engineering |
| keywords[7].id | https://openalex.org/keywords/materials-science |
| keywords[7].score | 0.13332721590995789 |
| keywords[7].display_name | Materials science |
| keywords[8].id | https://openalex.org/keywords/programming-language |
| keywords[8].score | 0.09751293063163757 |
| keywords[8].display_name | Programming language |
| language | en |
| locations[0].id | doi:10.46254/na07.20220126 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | https://ieomsociety.org/proceedings/2022orlando/126.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of the International Conference on Industrial Engineering and Operations Management |
| locations[0].landing_page_url | https://doi.org/10.46254/na07.20220126 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5013100994 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3974-6400 |
| authorships[0].author.display_name | Shih‐Wen Liu |
| authorships[0].countries | TW |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I65446980 |
| authorships[0].affiliations[0].raw_affiliation_string | College of Management National Chin-Yi University of Technology Taichung, Taiwan |
| authorships[0].institutions[0].id | https://openalex.org/I65446980 |
| authorships[0].institutions[0].ror | https://ror.org/040bs6h16 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I65446980 |
| authorships[0].institutions[0].country_code | TW |
| authorships[0].institutions[0].display_name | National Chin-Yi University of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Shih-Wen Liu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Management National Chin-Yi University of Technology Taichung, Taiwan |
| authorships[1].author.id | https://openalex.org/A5054278694 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-7965-1997 |
| authorships[1].author.display_name | Chien‐Wei Wu |
| authorships[1].countries | TW |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I25846049 |
| authorships[1].affiliations[0].raw_affiliation_string | Distinguished Professor, Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu, Taiwan |
| authorships[1].institutions[0].id | https://openalex.org/I25846049 |
| authorships[1].institutions[0].ror | https://ror.org/00zdnkx70 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I25846049 |
| authorships[1].institutions[0].country_code | TW |
| authorships[1].institutions[0].display_name | National Tsing Hua University |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Chien-Wei Wu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Distinguished Professor, Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu, Taiwan |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ieomsociety.org/proceedings/2022orlando/126.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2023-05-25T00:00:00 |
| display_name | A New Lot Sentencing Method for Products with Multiple Quality Characteristics Based on Process Yield |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11443 |
| primary_topic.field.id | https://openalex.org/fields/18 |
| primary_topic.field.display_name | Decision Sciences |
| primary_topic.score | 0.9771000146865845 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1804 |
| primary_topic.subfield.display_name | Statistics, Probability and Uncertainty |
| primary_topic.display_name | Advanced Statistical Process Monitoring |
| related_works | https://openalex.org/W2379162918, https://openalex.org/W2116911522, https://openalex.org/W831794578, https://openalex.org/W2370652759, https://openalex.org/W2352015183, https://openalex.org/W2383310903, https://openalex.org/W2394227982, https://openalex.org/W2393737669, https://openalex.org/W3047863236, https://openalex.org/W2347810345 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.46254/na07.20220126 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://ieomsociety.org/proceedings/2022orlando/126.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of the International Conference on Industrial Engineering and Operations Management |
| best_oa_location.landing_page_url | https://doi.org/10.46254/na07.20220126 |
| primary_location.id | doi:10.46254/na07.20220126 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | https://ieomsociety.org/proceedings/2022orlando/126.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the International Conference on Industrial Engineering and Operations Management |
| primary_location.landing_page_url | https://doi.org/10.46254/na07.20220126 |
| publication_date | 2023-05-24 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 2, 24, 28, 64, 139, 149, 160, 178 |
| abstract_inverted_index.To | 0 |
| abstract_inverted_index.an | 193 |
| abstract_inverted_index.by | 62 |
| abstract_inverted_index.in | 17 |
| abstract_inverted_index.is | 200 |
| abstract_inverted_index.of | 32, 39, 41, 56, 85, 98, 113, 206 |
| abstract_inverted_index.on | 105 |
| abstract_inverted_index.to | 202 |
| abstract_inverted_index.we | 22 |
| abstract_inverted_index.(i) | 137 |
| abstract_inverted_index.ASN | 92, 151 |
| abstract_inverted_index.and | 4, 35, 52, 76, 87, 93, 121, 172, 181 |
| abstract_inverted_index.are | 60, 102, 119 |
| abstract_inverted_index.for | 14, 152, 186 |
| abstract_inverted_index.has | 138 |
| abstract_inverted_index.lot | 6, 183 |
| abstract_inverted_index.may | 165 |
| abstract_inverted_index.new | 25 |
| abstract_inverted_index.the | 36, 42, 57, 70, 99, 106, 111, 114, 128, 134, 155, 167, 170, 174, 197, 204, 207 |
| abstract_inverted_index.two | 78 |
| abstract_inverted_index.(OC) | 96 |
| abstract_inverted_index.(ii) | 147 |
| abstract_inverted_index.also | 122 |
| abstract_inverted_index.from | 196 |
| abstract_inverted_index.make | 1 |
| abstract_inverted_index.more | 179 |
| abstract_inverted_index.plan | 48 |
| abstract_inverted_index.same | 129, 156 |
| abstract_inverted_index.show | 203 |
| abstract_inverted_index.size | 55 |
| abstract_inverted_index.that | 133 |
| abstract_inverted_index.this | 20 |
| abstract_inverted_index.were | 12 |
| abstract_inverted_index.with | 124, 143, 188 |
| abstract_inverted_index.(ASN) | 75 |
| abstract_inverted_index.(iii) | 158 |
| abstract_inverted_index.avoid | 166 |
| abstract_inverted_index.based | 104 |
| abstract_inverted_index.chain | 108 |
| abstract_inverted_index.equal | 144 |
| abstract_inverted_index.power | 142 |
| abstract_inverted_index.risks | 90 |
| abstract_inverted_index.taken | 195 |
| abstract_inverted_index.under | 81, 127, 154 |
| abstract_inverted_index.which | 68, 164 |
| abstract_inverted_index.Markov | 107 |
| abstract_inverted_index.better | 140 |
| abstract_inverted_index.levels | 84 |
| abstract_inverted_index.method | 26, 59, 101, 136, 176 |
| abstract_inverted_index.model, | 67 |
| abstract_inverted_index.number | 74 |
| abstract_inverted_index.recent | 18 |
| abstract_inverted_index.rules, | 34 |
| abstract_inverted_index.sample | 54, 73, 145 |
| abstract_inverted_index.scheme | 185 |
| abstract_inverted_index.values | 51 |
| abstract_inverted_index.average | 72 |
| abstract_inverted_index.between | 169 |
| abstract_inverted_index.derived | 103 |
| abstract_inverted_index.examine | 110 |
| abstract_inverted_index.example | 194 |
| abstract_inverted_index.method, | 116 |
| abstract_inverted_index.method. | 209 |
| abstract_inverted_index.methods | 126 |
| abstract_inverted_index.product | 44 |
| abstract_inverted_index.propose | 23 |
| abstract_inverted_index.quality | 37, 83, 190 |
| abstract_inverted_index.results | 131 |
| abstract_inverted_index.several | 117 |
| abstract_inverted_index.smaller | 150 |
| abstract_inverted_index.solving | 63 |
| abstract_inverted_index.various | 8 |
| abstract_inverted_index.vendors | 171 |
| abstract_inverted_index.analyses | 118 |
| abstract_inverted_index.article, | 21 |
| abstract_inverted_index.compared | 123 |
| abstract_inverted_index.critical | 50 |
| abstract_inverted_index.decision | 33 |
| abstract_inverted_index.existing | 125 |
| abstract_inverted_index.flexible | 29, 161 |
| abstract_inverted_index.interest | 40 |
| abstract_inverted_index.multiple | 46, 189 |
| abstract_inverted_index.obtained | 61 |
| abstract_inverted_index.products | 187 |
| abstract_inverted_index.proposed | 58, 100, 115, 135, 175, 208 |
| abstract_inverted_index.provides | 159, 177 |
| abstract_inverted_index.reliable | 5, 182 |
| abstract_inverted_index.required | 53, 71 |
| abstract_inverted_index.requires | 148 |
| abstract_inverted_index.sampling | 10, 89 |
| abstract_inverted_index.years.In | 19 |
| abstract_inverted_index.addition, | 192 |
| abstract_inverted_index.conducted | 120 |
| abstract_inverted_index.considers | 45 |
| abstract_inverted_index.desirable | 82 |
| abstract_inverted_index.developed | 13 |
| abstract_inverted_index.different | 15 |
| abstract_inverted_index.efficient | 180 |
| abstract_inverted_index.equations | 80 |
| abstract_inverted_index.functions | 97 |
| abstract_inverted_index.indicated | 132 |
| abstract_inverted_index.inspected | 43 |
| abstract_inverted_index.involving | 27 |
| abstract_inverted_index.mechanism | 31 |
| abstract_inverted_index.minimizes | 69 |
| abstract_inverted_index.operating | 30, 94, 162 |
| abstract_inverted_index.tolerable | 88 |
| abstract_inverted_index.acceptance | 9 |
| abstract_inverted_index.constrains | 77 |
| abstract_inverted_index.disruption | 168 |
| abstract_inverted_index.inspection | 153 |
| abstract_inverted_index.non-linear | 79 |
| abstract_inverted_index.procedure, | 163 |
| abstract_inverted_index.real-world | 198 |
| abstract_inverted_index.sentencing | 184 |
| abstract_inverted_index.strategies | 11 |
| abstract_inverted_index.submission | 86 |
| abstract_inverted_index.application | 199 |
| abstract_inverted_index.conditions, | 157 |
| abstract_inverted_index.constructed | 65 |
| abstract_inverted_index.illustrated | 201 |
| abstract_inverted_index.parameters, | 49 |
| abstract_inverted_index.performance | 112 |
| abstract_inverted_index.buyers.Thus, | 173 |
| abstract_inverted_index.consumption, | 146 |
| abstract_inverted_index.disposition, | 7 |
| abstract_inverted_index.optimization | 66 |
| abstract_inverted_index.perspectives | 16 |
| abstract_inverted_index.technique.To | 109 |
| abstract_inverted_index.characteristic | 38, 95 |
| abstract_inverted_index.conditions.The | 130 |
| abstract_inverted_index.cost-efficient | 3 |
| abstract_inverted_index.dimensions.The | 47 |
| abstract_inverted_index.discriminatory | 141 |
| abstract_inverted_index.practicability | 205 |
| abstract_inverted_index.characteristics.In | 191 |
| abstract_inverted_index.simultaneously.Both | 91 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.09387675 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |