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| t | 1 | { | t | 1 | { |
| 2 | "author": "SMDH Data Science Team", | 2 | "author": "SMDH Data Science Team", | ||
| 3 | "author_email": "info@smdh.uk", | 3 | "author_email": "info@smdh.uk", | ||
| 4 | "cloud_storage_key_segment": "manufacturing-operations-dataset", | 4 | "cloud_storage_key_segment": "manufacturing-operations-dataset", | ||
| 5 | "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c", | 5 | "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c", | ||
| 6 | "groups": [], | 6 | "groups": [], | ||
| 7 | "id": "8ddb1432-fa3a-4173-a46c-915fe230e08e", | 7 | "id": "8ddb1432-fa3a-4173-a46c-915fe230e08e", | ||
| 8 | "isopen": false, | 8 | "isopen": false, | ||
| 9 | "license_id": "other-nc", | 9 | "license_id": "other-nc", | ||
| 10 | "license_title": "Other (Non-Commercial)", | 10 | "license_title": "Other (Non-Commercial)", | ||
| 11 | "maintainer": "Dermot Kerr", | 11 | "maintainer": "Dermot Kerr", | ||
| 12 | "maintainer_email": "d.kerr@smdh.uk", | 12 | "maintainer_email": "d.kerr@smdh.uk", | ||
| 13 | "metadata_created": "2026-02-20T17:42:37.166534", | 13 | "metadata_created": "2026-02-20T17:42:37.166534", | ||
| 14 | "metadata_modified": "2026-02-20T17:48:52.748695", | 14 | "metadata_modified": "2026-02-20T17:48:52.748695", | ||
| 15 | "name": "ulster-university--manufacturing-operations-dataset", | 15 | "name": "ulster-university--manufacturing-operations-dataset", | ||
| 16 | "notes": "# **Manufacturing Operations Dataset | 16 | "notes": "# **Manufacturing Operations Dataset | ||
| 17 | Documentation**\r\n\r\n## **Overview**\r\n\r\nThis package contains | 17 | Documentation**\r\n\r\n## **Overview**\r\n\r\nThis package contains | ||
| 18 | anonymised manufacturing operations datasets extracted from an MES | 18 | anonymised manufacturing operations datasets extracted from an MES | ||
| 19 | (Manufacturing Execution System). These files support the analysis of | 19 | (Manufacturing Execution System). These files support the analysis of | ||
| 20 | **cycle times**, **routing/operation durations**, | 20 | **cycle times**, **routing/operation durations**, | ||
| 21 | **stoppage/downtime**, and **order due-date performance**.\r\n\r\n## | 21 | **stoppage/downtime**, and **order due-date performance**.\r\n\r\n## | ||
| 22 | **Anonymisation & Standards**\r\n\r\n* **Anonymisation:** Company | 22 | **Anonymisation & Standards**\r\n\r\n* **Anonymisation:** Company | ||
| 23 | names are replaced with Company\\_XX. Identifiers such as orderId, | 23 | names are replaced with Company\\_XX. Identifiers such as orderId, | ||
| 24 | unitId, stockId, operationId, eventId, and stoppage id are anonymised | 24 | unitId, stockId, operationId, eventId, and stoppage id are anonymised | ||
| 25 | tokens. No personally identifying information (PII) is present. \r\n* | 25 | tokens. No personally identifying information (PII) is present. \r\n* | ||
| 26 | **Timezones:** Timestamp fields include a UTC offset (e.g., \\+00:00). | 26 | **Timezones:** Timestamp fields include a UTC offset (e.g., \\+00:00). | ||
| 27 | When loading into Pandas, it is recommended to use: | 27 | When loading into Pandas, it is recommended to use: | ||
| 28 | pd.to\\_datetime(col, utc=True, errors='coerce'). \r\n* **Negative | 28 | pd.to\\_datetime(col, utc=True, errors='coerce'). \r\n* **Negative | ||
| 29 | Values:** Some duration fields contain negative values due to system | 29 | Values:** Some duration fields contain negative values due to system | ||
| 30 | clock issues. These should be filtered or investigated during the | 30 | clock issues. These should be filtered or investigated during the | ||
| 31 | cleaning phase.\r\n\r\n\r\n## **Data Quality Notes**\r\n\r\n* | 31 | cleaning phase.\r\n\r\n\r\n## **Data Quality Notes**\r\n\r\n* | ||
| 32 | **Missing Data:** Many records in | 32 | **Missing Data:** Many records in | ||
| 33 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv have nulls for | 33 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv have nulls for | ||
| 34 | downtime. This typically indicates zero downtime events occurred for | 34 | downtime. This typically indicates zero downtime events occurred for | ||
| 35 | that unit. \r\n* **Open Orders:** A high percentage (81%) of orders | 35 | that unit. \r\n* **Open Orders:** A high percentage (81%) of orders | ||
| 36 | are currently open. Analysis of these should focus on | 36 | are currently open. Analysis of these should focus on | ||
| 37 | open\\_days\\_late rather than completedDate. \r\n* **Negatives:** | 37 | open\\_days\\_late rather than completedDate. \r\n* **Negatives:** | ||
| 38 | Negative durations in product\\_cycle\\_anonymised.csv (specifically | 38 | Negative durations in product\\_cycle\\_anonymised.csv (specifically | ||
| 39 | in actual duration columns) should be treated as data quality | 39 | in actual duration columns) should be treated as data quality | ||
| 40 | errors.\r\n\r\n**Provenance:** Please record the extract date, source | 40 | errors.\r\n\r\n**Provenance:** Please record the extract date, source | ||
| 41 | system version, and any applied filters (date range, plant, or | 41 | system version, and any applied filters (date range, plant, or | ||
| 42 | operation types) externally to ensure benchmarking is reproducible.", | 42 | operation types) externally to ensure benchmarking is reproducible.", | ||
| 43 | "num_resources": 5, | 43 | "num_resources": 5, | ||
| 44 | "num_tags": 0, | 44 | "num_tags": 0, | ||
| 45 | "organization": { | 45 | "organization": { | ||
| 46 | "approval_status": "approved", | 46 | "approval_status": "approved", | ||
| 47 | "created": "2023-03-20T14:27:38.943709", | 47 | "created": "2023-03-20T14:27:38.943709", | ||
| 48 | "description": "Ulster University has a sustained track record in | 48 | "description": "Ulster University has a sustained track record in | ||
| 49 | robotics, computer vision, and computational intelligence. Translating | 49 | robotics, computer vision, and computational intelligence. Translating | ||
| 50 | research into technologies that catalyse innovation in small and large | 50 | research into technologies that catalyse innovation in small and large | ||
| 51 | enterprises, we have been instrumental in attracting inward investment | 51 | enterprises, we have been instrumental in attracting inward investment | ||
| 52 | and developing the knowledge economy. Ulster lead SMDH, lead the | 52 | and developing the knowledge economy. Ulster lead SMDH, lead the | ||
| 53 | virtual manufacturing platform and contribute to data science, | 53 | virtual manufacturing platform and contribute to data science, | ||
| 54 | roll-out and marketing.", | 54 | roll-out and marketing.", | ||
| 55 | "id": "ef5c8779-8217-40b9-a33a-bf371253343c", | 55 | "id": "ef5c8779-8217-40b9-a33a-bf371253343c", | ||
| 56 | "image_url": "2023-05-02-104737.949700uu.png", | 56 | "image_url": "2023-05-02-104737.949700uu.png", | ||
| 57 | "is_organization": true, | 57 | "is_organization": true, | ||
| 58 | "name": "ulster-university", | 58 | "name": "ulster-university", | ||
| 59 | "state": "active", | 59 | "state": "active", | ||
| 60 | "title": "Ulster University", | 60 | "title": "Ulster University", | ||
| 61 | "type": "organization" | 61 | "type": "organization" | ||
| 62 | }, | 62 | }, | ||
| 63 | "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c", | 63 | "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c", | ||
| 64 | "private": false, | 64 | "private": false, | ||
| 65 | "relationships_as_object": [], | 65 | "relationships_as_object": [], | ||
| 66 | "relationships_as_subject": [], | 66 | "relationships_as_subject": [], | ||
| 67 | "resources": [ | 67 | "resources": [ | ||
| 68 | { | 68 | { | ||
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| 70 | "cache_url": null, | 70 | "cache_url": null, | ||
| 71 | "cloud_storage_key": | 71 | "cloud_storage_key": | ||
| 72 | ersity/manufacturing-operations-dataset/product_cycle_anonymised.csv", | 72 | ersity/manufacturing-operations-dataset/product_cycle_anonymised.csv", | ||
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| 96 | "cloud_storage_key": | 96 | "cloud_storage_key": | ||
| 97 | uring-operations-dataset/df_unit_level_cycle_downtime_anonymised.csv", | 97 | uring-operations-dataset/df_unit_level_cycle_downtime_anonymised.csv", | ||
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| 121 | "cloud_storage_key": | 121 | "cloud_storage_key": | ||
| 122 | rsity/manufacturing-operations-dataset/order_analysis_anonymised.csv", | 122 | rsity/manufacturing-operations-dataset/order_analysis_anonymised.csv", | ||
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| 147 | versity/manufacturing-operations-dataset/stoppage_all_anonymised.csv", | 147 | versity/manufacturing-operations-dataset/stoppage_all_anonymised.csv", | ||
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| 172 | "1/ulster-university/manufacturing-operations-dataset/Manufacturing | 172 | "1/ulster-university/manufacturing-operations-dataset/Manufacturing | ||
| 173 | Operations Documentation.pdf", | 173 | Operations Documentation.pdf", | ||
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| 192 | "url_type": "upload" | 192 | "url_type": "upload" | ||
| 193 | } | 193 | } | ||
| 194 | ], | 194 | ], | ||
| 195 | "share_internally": false, | 195 | "share_internally": false, | ||
| 196 | "state": "active", | 196 | "state": "active", | ||
| 197 | "tags": [], | 197 | "tags": [], | ||
| 198 | "title": "Manufacturing Operations Dataset", | 198 | "title": "Manufacturing Operations Dataset", | ||
| 199 | "type": "dataset", | 199 | "type": "dataset", | ||
| 200 | "url": "", | 200 | "url": "", | ||
| 201 | "version": "" | 201 | "version": "" | ||
| 202 | } | 202 | } |