The Use of Supply Chain Metrics in Lebanon
One standard in measuring supply chain management success is that established by the SCOR model. The SCOR model was created by a management consulting firm of the Supply Chain Council which relies on specific performance measures that are related to the five-core process building blocks: Plan, Sourc...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | masterThesis |
| منشور في: |
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/13524 https://doi.org/10.26756/th.2022.279 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513490821054464 |
|---|---|
| author | Huballah, Zeina |
| author_facet | Huballah, Zeina |
| author_role | author |
| dc.creator.none.fl_str_mv | Huballah, Zeina |
| dc.date.none.fl_str_mv | 2020 2020-05-01 2022-04-28T11:43:04Z 2022-04-28T11:43:04Z |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/13524 https://doi.org/10.26756/th.2022.279 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Lebanese American University |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Business logistics -- Lebanon Business logistics -- Developing countries Business logistics -- Management Lebanese American University -- Dissertations Dissertations, Academic |
| dc.title.none.fl_str_mv | The Use of Supply Chain Metrics in Lebanon A Study of SCOR Applicability |
| dc.type.none.fl_str_mv | Thesis info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| description | One standard in measuring supply chain management success is that established by the SCOR model. The SCOR model was created by a management consulting firm of the Supply Chain Council which relies on specific performance measures that are related to the five-core process building blocks: Plan, Source, Make, Deliver, and Return with a sixth block of “Enable” added later. With its origins in Western/Developed Countries, there is some question about the applicability of the same metric system in Low- and Middle-Income Countries. This thesis relies on a survey methodology to explore the extent to which companies across multiple industries are measuring the SCOR Level 1 and Level 2 metrics in Lebanon and the MENA region. The results of the survey are analyzed via two machine learning techniques – an unsupervised clustering technique (kMeans) to identify companies with similar behavior relative to the SCOR metrics and a supervised learning technique (Classification Trees) to ascertain which company demographics (ie industry, age, size, age of employees, and SCOR familiarity) dictate cluster membership. |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | LAURepo_ca5ea706d9d90075f52f74a0b31bfadb |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/13524 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | Lebanese American University |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | The Use of Supply Chain Metrics in LebanonA Study of SCOR ApplicabilityHuballah, ZeinaBusiness logistics -- LebanonBusiness logistics -- Developing countriesBusiness logistics -- ManagementLebanese American University -- DissertationsDissertations, AcademicOne standard in measuring supply chain management success is that established by the SCOR model. The SCOR model was created by a management consulting firm of the Supply Chain Council which relies on specific performance measures that are related to the five-core process building blocks: Plan, Source, Make, Deliver, and Return with a sixth block of “Enable” added later. With its origins in Western/Developed Countries, there is some question about the applicability of the same metric system in Low- and Middle-Income Countries. This thesis relies on a survey methodology to explore the extent to which companies across multiple industries are measuring the SCOR Level 1 and Level 2 metrics in Lebanon and the MENA region. The results of the survey are analyzed via two machine learning techniques – an unsupervised clustering technique (kMeans) to identify companies with similar behavior relative to the SCOR metrics and a supervised learning technique (Classification Trees) to ascertain which company demographics (ie industry, age, size, age of employees, and SCOR familiarity) dictate cluster membership.1 online resource (ix, 66 leaves) : ill. (chiefly col.)Bibliography: leaf 50-52.Lebanese American University2022-04-28T11:43:04Z2022-04-28T11:43:04Z20202020-05-01Thesisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10725/13524https://doi.org/10.26756/th.2022.279http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.phpeninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/135242022-07-07T09:25:22Z |
| spellingShingle | The Use of Supply Chain Metrics in Lebanon Huballah, Zeina Business logistics -- Lebanon Business logistics -- Developing countries Business logistics -- Management Lebanese American University -- Dissertations Dissertations, Academic |
| status_str | publishedVersion |
| title | The Use of Supply Chain Metrics in Lebanon |
| title_full | The Use of Supply Chain Metrics in Lebanon |
| title_fullStr | The Use of Supply Chain Metrics in Lebanon |
| title_full_unstemmed | The Use of Supply Chain Metrics in Lebanon |
| title_short | The Use of Supply Chain Metrics in Lebanon |
| title_sort | The Use of Supply Chain Metrics in Lebanon |
| topic | Business logistics -- Lebanon Business logistics -- Developing countries Business logistics -- Management Lebanese American University -- Dissertations Dissertations, Academic |
| url | http://hdl.handle.net/10725/13524 https://doi.org/10.26756/th.2022.279 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |