An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted Consideration
Supplier-buyer relationships have been the focus of considerable supply chain management and marketing research for decades. To validate the process capability of a supplier, practitioners usually operate the acceptance sampling plan (ASP). The most basic ASP is a single sampling plan (SSP) due to i...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9478845/ |
| _version_ | 1798003277280837632 |
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| author | Ming-Hung Shu To-Cheng Wang Bi-Min Hsu |
| author_facet | Ming-Hung Shu To-Cheng Wang Bi-Min Hsu |
| author_sort | Ming-Hung Shu |
| collection | DOAJ |
| description | Supplier-buyer relationships have been the focus of considerable supply chain management and marketing research for decades. To validate the process capability of a supplier, practitioners usually operate the acceptance sampling plan (ASP). The most basic ASP is a single sampling plan (SSP) due to its straightforward lot-disposition mechanism. However, since the lot-disposition mechanism of SSP cannot accommodate the historical lot-quality levels information, it requires a large sample size for inspection to validate the submitted lot’s process capability. To obtain these benefits from historical information, multiple-lot dependent state (MDS) sampling plans have been proposed. The MDS plans have manufacturing traceability of historical lot-quality levels information to sentence the submitted lot. However, the MDS plan’s manufacturing traceability has a drawback that cost-efficiency decreases as more historical lot-quality levels information are considered, which contradicts its initial development goal. To overturn this contradictory situation, we proposed the adaptive MDS (AMDS) plans based on the process loss restricted consideration with combinatorial mathematical treatment that can correct the MDS plans manufacturing traceability of historical lot-quality levels information that help practitioners to adopt more historical information into lot-disposition freely without bearing the reduction of cost-efficiency. Meanwhile, their performances are superior to existing MDS plans in terms of cost-effectiveness and discriminatory power. Moreover, we further developed a web-based app for our proposed plans to improve the convenience of applying them in practice. By operating the web-based app, practitioners can quickly obtain the optimal plan criteria without bearing the burdens of table-checking or mathematical model solving. These improvements can genuinely help buyers distinguish reliable suppliers efficiently and build up a strong partnership with them. Finally, the applicability of the proposed plan is demonstrated in a real-world case study. |
| first_indexed | 2024-04-11T12:05:04Z |
| format | Article |
| id | doaj.art-4345d3d714bb43dbbcf2b1c9af529e5c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T12:05:04Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4345d3d714bb43dbbcf2b1c9af529e5c2022-12-22T04:24:45ZengIEEEIEEE Access2169-35362021-01-01910268710269910.1109/ACCESS.2021.30959329478845An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted ConsiderationMing-Hung Shu0To-Cheng Wang1https://orcid.org/0000-0001-8905-6913Bi-Min Hsu2Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, TaiwanDepartment of Aviation Management, Republic of China Air Force Academy, Kaohsiung, TaiwanDepartment of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung, TaiwanSupplier-buyer relationships have been the focus of considerable supply chain management and marketing research for decades. To validate the process capability of a supplier, practitioners usually operate the acceptance sampling plan (ASP). The most basic ASP is a single sampling plan (SSP) due to its straightforward lot-disposition mechanism. However, since the lot-disposition mechanism of SSP cannot accommodate the historical lot-quality levels information, it requires a large sample size for inspection to validate the submitted lot’s process capability. To obtain these benefits from historical information, multiple-lot dependent state (MDS) sampling plans have been proposed. The MDS plans have manufacturing traceability of historical lot-quality levels information to sentence the submitted lot. However, the MDS plan’s manufacturing traceability has a drawback that cost-efficiency decreases as more historical lot-quality levels information are considered, which contradicts its initial development goal. To overturn this contradictory situation, we proposed the adaptive MDS (AMDS) plans based on the process loss restricted consideration with combinatorial mathematical treatment that can correct the MDS plans manufacturing traceability of historical lot-quality levels information that help practitioners to adopt more historical information into lot-disposition freely without bearing the reduction of cost-efficiency. Meanwhile, their performances are superior to existing MDS plans in terms of cost-effectiveness and discriminatory power. Moreover, we further developed a web-based app for our proposed plans to improve the convenience of applying them in practice. By operating the web-based app, practitioners can quickly obtain the optimal plan criteria without bearing the burdens of table-checking or mathematical model solving. These improvements can genuinely help buyers distinguish reliable suppliers efficiently and build up a strong partnership with them. Finally, the applicability of the proposed plan is demonstrated in a real-world case study.https://ieeexplore.ieee.org/document/9478845/Lot tracingprocess loss restrictedlot-dependent sampling planssupplier-buyer relationshipshistorical lot-quality levels information |
| spellingShingle | Ming-Hung Shu To-Cheng Wang Bi-Min Hsu An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted Consideration IEEE Access Lot tracing process loss restricted lot-dependent sampling plans supplier-buyer relationships historical lot-quality levels information |
| title | An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted Consideration |
| title_full | An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted Consideration |
| title_fullStr | An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted Consideration |
| title_full_unstemmed | An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted Consideration |
| title_short | An Integrated Supplier-Buyer Lots Sampling Plan With Quality Traceability Based on Process Loss Restricted Consideration |
| title_sort | integrated supplier buyer lots sampling plan with quality traceability based on process loss restricted consideration |
| topic | Lot tracing process loss restricted lot-dependent sampling plans supplier-buyer relationships historical lot-quality levels information |
| url | https://ieeexplore.ieee.org/document/9478845/ |
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