WO2021246051A1 - Dispositif et procédé d'aide à l'identification de facteur d'influence de qualité - Google Patents
Dispositif et procédé d'aide à l'identification de facteur d'influence de qualité Download PDFInfo
- Publication number
- WO2021246051A1 WO2021246051A1 PCT/JP2021/014866 JP2021014866W WO2021246051A1 WO 2021246051 A1 WO2021246051 A1 WO 2021246051A1 JP 2021014866 W JP2021014866 W JP 2021014866W WO 2021246051 A1 WO2021246051 A1 WO 2021246051A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- quality
- influence factor
- candidate
- quality influence
- process data
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 175
- 230000008569 process Effects 0.000 claims abstract description 141
- 238000000605 extraction Methods 0.000 claims abstract description 37
- 238000010923 batch production Methods 0.000 claims abstract description 28
- 238000013480 data collection Methods 0.000 claims abstract description 6
- 230000008859 change Effects 0.000 claims description 25
- 238000010586 diagram Methods 0.000 claims description 25
- 238000004519 manufacturing process Methods 0.000 claims description 12
- 238000003860 storage Methods 0.000 abstract description 13
- 239000000284 extract Substances 0.000 abstract 1
- 230000001364 causal effect Effects 0.000 description 5
- 238000007405 data analysis Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010924 continuous production Methods 0.000 description 2
- 238000007418 data mining Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000011144 upstream manufacturing Methods 0.000 description 2
- 125000002066 L-histidyl group Chemical group [H]N1C([H])=NC(C([H])([H])[C@](C(=O)[*])([H])N([H])[H])=C1[H] 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000000491 multivariate analysis Methods 0.000 description 1
- 238000011112 process operation Methods 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000007637 random forest analysis Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Definitions
- the specific result notification unit displays a pipe instrumentation diagram of the production equipment of the product, and the quality influence factor is included in the pipe instrumentation diagram.
- the name of the candidate and the name of the process data from which the quality influencing factor candidate is extracted are displayed superimposed on the position where the process data is measured, and the position where the product quality data is measured is displayed in the piping instrumentation diagram. It is characterized by displaying in.
- the specific result notification unit includes the name of the quality influence factor candidate, the name of the process data from which the quality influence factor candidate is extracted, and the process data. It is characterized by displaying the type.
- the specific result notification unit names other feature quantities in the group including the quality influence factor candidate when instructed by the user. It is characterized by displaying.
- the first graph of the process data from which the quality influence factor candidate is extracted is displayed, the time information from which the quality influence factor candidate is extracted is displayed on the first graph, and the quality influence factor candidate is displayed.
- the estimated time series of process data when the quality influence factor candidates are changed by the amount of change specified by the user is displayed superimposed on the third graph, and is included in the group including the quality influence factor candidates.
- the user can be the source of quality influential factor candidates or feature quantities.
- process data it is possible to recognize the trajectory (time series pattern) required for improving product quality, and to judge the feasibility and risks of the operation of the target process required for improving product quality.
- Each group contains various features, and each feature has four attributes: group, batch process lot, segment (eg, transient period, steady state period, etc.), and extraction source process data.
- a known correlation coefficient can be used for the similarity of the data strings.
- the quality influence is difficult to interpret, which is contrary to the user's process knowledge.
- Factor candidates can be excluded. For example, if there is process data from A to F as the extraction source of quality influence factor candidates, the process data of flow rate D, temperature E, and flow rate F acquired by the equipment downstream from the place where the product quality data was measured. Should not be selected as a candidate quality influential factor.
- the specific result notification unit 7 can display the timing at which the quality influencing factor candidate A1 is extracted and the timing at which the feature amount B1 is extracted based on the definition stored in the storage unit 2.
- the timing at which the feature amount is extracted is displayed by the vertical arrow mark 7000. ..
- the timing at which the feature amount is extracted is displayed by the horizontal arrow mark 7001. ..
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Automation & Control Theory (AREA)
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Dispositif d'aide à l'identification de facteur d'influence de qualité comprenant : une unité de collecte de données (1) qui collecte des données de qualité de produit et des données de processus dans un procédé discontinu; une unité de stockage (2) qui stocke les données de qualité de produit et les données de processus; une unité d'extraction de quantité caractéristique (3) qui extrait des quantités de caractéristiques des données de processus; une unité de classification de quantité caractéristique (4) qui classe les quantités de caractéristiques en groupes sur la base de similarités entre les quantités de caractéristiques; une unité de sélection de quantité caractéristique représentative (5) qui sélectionne une quantité caractéristique représentative pour chacun des groupes sur la base d'une relation avec les données de qualité de produit pour le groupe; une unité d'identification de candidat (6) qui identifie une quantité caractéristique représentative contribuant à la fluctuation des données de qualité de produit parmi les quantités caractéristiques représentatives en tant que facteur d'influence de qualité candidat; et une unité de notification de résultat d'identification (7) qui notifie à un utilisateur le résultat d'identification.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202180037000.7A CN115668080A (zh) | 2020-06-05 | 2021-04-08 | 品质影响因素确定支持装置以及方法 |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020-098263 | 2020-06-05 | ||
| JP2020098263A JP2021192137A (ja) | 2020-06-05 | 2020-06-05 | 品質影響因子特定支援装置および方法 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2021246051A1 true WO2021246051A1 (fr) | 2021-12-09 |
Family
ID=78830834
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/JP2021/014866 WO2021246051A1 (fr) | 2020-06-05 | 2021-04-08 | Dispositif et procédé d'aide à l'identification de facteur d'influence de qualité |
Country Status (3)
| Country | Link |
|---|---|
| JP (1) | JP2021192137A (fr) |
| CN (1) | CN115668080A (fr) |
| WO (1) | WO2021246051A1 (fr) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08118443A (ja) * | 1994-10-27 | 1996-05-14 | Fanuc Ltd | 製品品質影響要因解析方法及び成形条件調整方法 |
| JP2010146137A (ja) * | 2008-12-17 | 2010-07-01 | Yokogawa Electric Corp | パラメータ調整支援装置 |
| JP2019197245A (ja) * | 2018-05-07 | 2019-11-14 | 富士通株式会社 | 情報処理装置、品質関連式生成方法、および品質関連式生成プログラム |
-
2020
- 2020-06-05 JP JP2020098263A patent/JP2021192137A/ja active Pending
-
2021
- 2021-04-08 CN CN202180037000.7A patent/CN115668080A/zh active Pending
- 2021-04-08 WO PCT/JP2021/014866 patent/WO2021246051A1/fr active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08118443A (ja) * | 1994-10-27 | 1996-05-14 | Fanuc Ltd | 製品品質影響要因解析方法及び成形条件調整方法 |
| JP2010146137A (ja) * | 2008-12-17 | 2010-07-01 | Yokogawa Electric Corp | パラメータ調整支援装置 |
| JP2019197245A (ja) * | 2018-05-07 | 2019-11-14 | 富士通株式会社 | 情報処理装置、品質関連式生成方法、および品質関連式生成プログラム |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2021192137A (ja) | 2021-12-16 |
| CN115668080A (zh) | 2023-01-31 |
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