摘要:
Die vorliegende Erfindung betrifft eine Vorrichtung mit einem Roboter (18) zum Verlagern eines Lebensmittelproduktes, insbesondere von Lebensmittelscheiben, wobei der Roboter (18) wenigstens einen Roboterarm (23, 24) aufweist, an dem sich eine Greifereinheit (21) zum Ergreifen der Lebensmittelprodukte befindet, und wobei der Roboter (18) ausgelegt ist, Lebensmittelprodukte von einer Auflage aufzunehmen, und zu einem gewünschten Ort zu verlagern. Die Vorrichtung weist ein Kontrollsystem auf, in dem wenigstens eine Vorgabe für ein Bewegungsprogramm für den Roboter (18) gespeichert wird. Erfindungsgemäß ist das Kontrollsystem ausgelegt, wenigstens einen Zustandsparameter zu überwachen, und in Abhängigkeit des wenigstens einen Zustandsparameters und des Bewegungsprogramms zu bestimmen, ob eine vorbestimmte Bedingung erfüllt wurde, die insbesondere eine Wartungsmaßnahme bedingt.
摘要:
A method and apparatus for providing fault detection in an Advanced Process Control (APC) framework. A first interface receives operational state data of a processing tool related to the manufacture of a processing piece. The state data is sent from the first interface to a fault detection unit. A fault detection unit determines if a fault condition exists with the processing tool based upon the state data. A predetermined action is performed on the processing tool in response to the presence of a fault condition. In accordance with one embodiment, the predetermined action is to shutdown the processing tool so as to prevent further production of faulty wafers.
摘要:
The invention relates to a method and to a system for determining overall equipment effectiveness (OEE) of production plants (1). A service device (3) that can be connected to the data retrieval device (2) of the respective production plant (1) is provided with input devices (6, 12) for inputting additional descriptive data, with display means (7, 11, 13, 14) for displaying the effectiveness (11) determined, the significant failure events 13) and failure causes (14), and with an online system component (4) which is adapted to determine significant failure events by failure evaluation (24), and with an offline system component (5) that contains a plurality of generic failure models (36) and evaluation models (36).
摘要:
A methodology is provided for qualitatively identifying features of an article, such as defects on the surface of a semiconductor substrate, with a string of symbols, such as numbers, according to relevant defect characteristics and information relating to the processing tools visited by the wafer, including reliability information. Embodiments include generalizing, after a defect on a wafer is discovered and inspected (as by optical review, SEM, EDS, AFM, etc.), each quantitative attribute of the defect such as the defect's size, material composition, color, position on the surface of the wafer, etc. into a qualitative category, assigning a numerical symbol to each attribute for identification, and sequencing the symbols in a predetermined manner. The identification sequences of all defects are stored in a database, where they are easily compared with other correspondingly identified defects. The identification sequence also includes a number representative of the wafer's last-visited processing tool, thereby associating the defect with a tool. After the defect is investigated and determined as being caused by a particular fault of the tool, this information is stored and linked to the defect's identification sequence. Thereafter, if a similar defect occurs in another wafer, the later defect's identification sequence is matched to that of the previous defect by searching the defect database, indicating the same cause for the later defect, thereby enabling ready identification of the root causes of defects, and enabling early corrective action to be taken.
摘要:
The invention relates to a method for the automated detection of failure events by evaluating the field data of a production plant within the framework of a system for determining the overall equipment effectiveness (OEE) of the production plant and for failure cause analysis. Failure events are detected by using a data processing unit (20) and programs stored therein for carrying out the functions of a failure event detector (21) and an OEE script configurator (22). Failure events are detected by the following steps: The OEE script configurator (22) accesses a predetermined production plant specific productivity model, generates an OEE script on the basis of likewise predetermined configuration data and files said script in an OEE script memory (32). The failure event detector (21) accesses the OEE script, retrieves field data from a data server (30) of the production plant according to execution requirements of the OEE script, derives failure events from said field data according to the processing instructions of the OEE script and files them, if desired, together with failure events inputted earlier in a failure data base (31).
摘要:
Die Erfindung betrifft ein Verfahren und eine Vorrichtung zur Diagnose von Maschinen (10) zur Herstellung von Produkten, wie Zigaretten (12) bzw. Zigarettenpackungen (11), wobei die Produkte auf Fehler untersucht werden und ein ein fehlerhaftes Produkt anzeigendes Signal erzeugt wird. Der Erfindung liegt das Problem zugrunde, die Diagnose zu verbessern. Zur Lösung dieses Problems ist das erfindungsgemäße Verfahren dadurch gekennzeichnet, daß das fehleranzeigende Signal (46) auf eventuelle Periodizität von fehlerhaften Produkten (11, 12) ausgewertet und eine eventuelle Periodizität ermittelt wird. Hierzu weist die erfindungsgemäße Vorrichtung eine entsprechend ausgebildete Steuereinrichtung (27a) auf.
摘要:
A methodology is provided for qualitatively identifying features of an article, such as defects on the surface of a semiconductor substrate, with a string of symbols, such as numbers, according to relevant defect characteristics and information relating to the processing tools visited by the wafer, including reliability information. Embodiments include generalizing, after a defect on a wafer is discovered and inspected (as by optical review, SEM, EDS, AFM, etc.), each quantitative attribute of the defect such as the defect's size, material composition, color, position on the surface of the wafer, etc. into a qualitative category, assigning a numerical symbol to each attribute for identification, and sequencing the symbols in a predetermined manner. The identification sequences of all defects are stored in a database, where they are easily compared with other correspondingly identified defects. The identification sequence also includes a number representative of the wafer's last-visited processing tool, thereby associating the defect with a tool. After the defect is investigated and determined as being caused by a particular fault of the tool, this information is stored and linked to the defect's identification sequence. Thereafter, if a similar defect occurs in another wafer, the later defect's identification sequence is matched to that of the previous defect by searching the defect database, indicating the same cause for the later defect, thereby enabling ready identification of the root causes of defects, and enabling early corrective action to be taken.
摘要:
Biodegradation of a drug delivery system or temporary internal suture or device is controlled by preparing a blend of biodegradable polymers having distinct biodegradation rates. The resulting article has a unique biodegradation rate distinct from that of the component polymers. Predetermined or preselected biodegradation rates can be achieved by selection of appropriate blend components.
摘要:
Fertigungsumgebung (100) mit einer Bearbeitungsmaschine (M.m), einer Messvorrichtung oder Messmaschine (20), einem Speichermedium (11), und mit einem Rechner(10), der zum Steuern der folgenden Verfahrensschritte der Fertigungsumgebung (100) programmiert ist: a) spanendes Bearbeiten eines ersten Werkstücks (W.n) in der Bearbeitungsmaschinen (M.m), b) Erfassen von Maschinenparametern (Mp W.n ) der Bearbeitungsmaschine (M.m) während der spanenden Bearbeitung des ersten Werkstücks (W.n), c) Speichern dieser Maschinenparameter (Mp W.n ) in dem Speichermedium (11), wobei das Speichern unter Zuordnung zu dem ersten Werkstück (W.n) erfolgt, d) Wiederholen der Schritte a) bis c) für eine Anzahl von n Werkstücken (W.n); nach einem der Schritte a) bis d), oder zu einem späteren Zeitpunkt, Auslösen eines Prüfverfahrens mit den folgenden Schritten: M1. Auswahl mindestens eines der Werkstücke (W.n), M2. Durchführen einer automatisierten Prüfung mindestens dieses einen ausgewählten Werkstücks (W.n) durch die Messvorrichtung oder die Messmaschine (20), M3. Durchführen einer prozessorgesteuerten Bewertung der automatisierten Prüfung, um das ausgewählte Werkstück (W.n) in eine von mindestens zwei der folgenden Gruppen einteilen zu können: Gut-Teil (GT), Ausschuss-Teil (AT).