The present invention teaches a process of measuring and grinding tools in can/cylindrical body production, allowing reduced production downtime, reduced cost and a predictive tool wear capability, which process allows more accurate stocking of tool inventory by means of tracking individual tools in use and providing advanced diagnostics to the tool room. This includes not just out-of-spec alarms from QA but also predictive alarms regarding cans produced by each tool, in-spec can weights and wall thicknesses, information on tool sizes being used in production, tools in inventory, pulled from inventory and other stock balancing information. The invention further teaches a system of equations for prioritizing grinding to maintain optimum tool inventory levels.

A diagnostic apparatus includes: a receiver to receive, from a diagnosis target device, context information corresponding to a current operation on the target device and tool information regarding a tool being used for the current operation on the target device, the context information corresponding to the current operation being one of a plurality of items of context information that have been determined by respective types of a plurality of types of operation applicable to the target device; and circuitry to obtain detection information of a physical quantity varying with the current operation on the target device, and to determine a level of degradation of the tool being used, using the detection information and a model corresponding to a combination of the received context information and the received tool information, the model being specified from one or more models respectively corresponding to available combinations of context information and tool information using the received combination of context information and tool information.

A method includes acquiring, by a vibro-acoustic sensor in a vicinity of a machine, vibro-acoustic signals due to an operation of the machine. The acquired vibro-acoustic signals are analyzed so as to estimate at least two operational parameters of the machine, selected from a group of the operational parameters consisting of an uptime factor, a production speed factor, and a production quality factor of the machine. An overall equipment effectiveness (OEE) of the machine is computed, the computed OEE including at least one of a minimum and a product of the at least two estimated operational parameters.

An information processing device includes: a memory; and a processor coupled to the memory and configured to: learn a classification rule that classifies an abnormal degree of a production facility from a text feature amount based on the text feature amount obtained from a number of texts included in a plurality of pieces of log data obtained in a predetermined process of the production facility and production history information of the production facility; extract a text feature amount of log data to be monitored obtained in the predetermined process of the production facility; and determine an abnormal degree of the production facility when the log data to be monitored is obtained based on the text feature amount and the classification rule.

An intelligent processing modulation system comprises: a detector detecting the condition of the processing equipment before the process for processing a raw material into a product begins; a data storage recording the information of the product; a basic database storing the information of the detector and the data storage corresponding to the product and the condition of the product for each time the process is completed; a mode database receiving the information of the detector, the data storage and the basic database and setting up the processing model; a processing equipment operating according to the parameters of the processing model received by the processing information manager; a processing information manager modifying the processing model promptly according to the result of the product in order to improve the yield rate of the product.

A production management system 100 includes an operating state acquisition apparatus 20a and a production management apparatus 10. The operating state acquisition apparatus 20a includes a detector 21a that is retrofitted to be mounted on a production equipment 31 disposed on a manufacturing line L1 or retrofitted to be disposed in a vicinity of the production equipment 31, and which outputs a detection signal indicating an operating state of the production equipment 31, and includes a transmitter 22a that transmits the detection signal. The production management apparatus 10 includes a generator for generating information on production state of the manufacturing line L1 by use of the detection signal received from the operating state acquisition apparatus 20a, and includes a display device for displaying the generated information on production state.

A wafer-like semiconductor sensor includes a wafer-like base formed of a plurality of layers of chemically-hardened glass and an electronics module mounted to a recessed pocket in the base and containing a sensor.

A system, computer program product and a method for detecting manufacturing process defects, the method may include: obtaining multiple edge measurements of one or more structural elements after a completion of each one of multiple manufacturing phases; generating spatial spectrums, based on the multiple edge measurements, for each one of the multiple manufacturing phases; determining relationships between bands of the spatial spectrums; and identifying at least one of the manufacturing process defects based on the relationships between the bands of the spatial spectrums.

To test object image data IMG1, images (possible-defect images D1 to D3) representing possible defects detected by an image processing unit 22 are added. Adjacent to sliders L1 and L2, a histogram H1 indicating the number of detected possible defects for each wall thickness and a histogram H2 indicating the number of detected possible defects for each size are displayed, respectively. When a checkbox CB1 corresponding to a type of defect is selected by an operation unit 14, only images of possible defects of the selected type are displayed on the test object image IMG1. When the sliders L1 and L2 are operated by the operation unit 14, only images of possible defects within a wall thickness range selected by the slider L1 and within a size range selected by the slider L2 are displayed, and images of possible defects outside the ranges are erased.

The invention relates to various aspects in the production of extrusion products. The properties of extruded articles are dependent significantly, in addition to their formulation, also on the setting variables and in particular on the thus resulting process variables. The setting variables and in particular the process variables thus represent a state of the extrusion process characterized as fingerprint. The thus claimed invention takes into account these facts and supports the operator of a production plant to detect earlier changes in quality and to systematically counteract a deterioration in the quality.