Example implementations described herein involve systems and methods that can involve extracting features from each of a plurality of time-series sensor data, the plurality of time-series sensor data associated with execution of one or more operations; clustering the extracted features into a plurality of tasks that occur from execution of the one or more operations, each of the plurality of tasks associated with a clustering identifier (ID) from the clustering; and calculating a cycle time of the cycle based on the initiation and end of the cycle recognized by referencing a cycle pattern model, wherein the cycle pattern model comprises configuration information of a cycle including a set from a plurality of the clustering IDs.

A system for controlling a production plant includes a plant automation unit for monitoring and control of the production process within the production plant. A production planning system has information concerning the products to be produced. A model generator generates at least one prediction model for products produced in the production plant. The model generator takes into account the results of the monitoring of the production plant when generating the at least one prediction model. A production optimizer determines an optimized production process within the production plant on the basis of data from the plant automation unit, the production planning system, and the prediction model generated by the model generator. The production optimizer takes into account the production-related specifications of the individual plant parts. A production plant control unit generates target specifications for the plant automation unit on the basis of the optimized production process determined by the production optimizer.

A method and a system for re-sequencing client production orders where client-individualized JIS components have not been delivered in due time according to the planned production schedule due to disturbances or have been delivered, but are defective. Three major steps are performed. First, by the introduction of the concept of differently permutable sub-sequences, the frozen time zone is divided into a plurality of sub-sequences of different length in time wherein the length is adapted to the time variants in the re-planning process. Second, using a knowledge-based model, the consequences of a disturbance are classified to be caused either by delayed supply or by defective parts. Third, after determining the type of distortion combining the type of sub-sequence with the status of the supply leads to the generation of three possible algorithms for the re-sequencing of the client production order.

Providing an equipment manufacture supporting technique in which a plurality of departments that cooperate with one another can unify management of components constituting equipment. An equipment manufacture supporting apparatus including: a component information receiving unit that receives discrimination information and image information of each of components constituting equipment; an electronic code giving unit that gives an electronic code corresponding to the discrimination information; a component information registering unit that links and registers mutually connected components; an image receiving unit that receives imaged data of a plurality of components mounted on the equipment; an electronic code recognizing unit that recognizes the electronic codes respectively marked on the plurality of components, from the imaged data; and a connection determining unit that determines whether a connection relation of the plurality of components mounted on the equipment is right or wrong, on a basis of the electronic codes recognized from the imaged data.

A production assistance system which generates steps for producing a product on the basis of an order including information which should specify the product to be produced, a quantity or count by which the product is to be produced, and a due date by which the production is to be completed is provided with an input unit for inputting the order; a schedule computation unit for generating, on the basis of the order input by the input unit, a schedule including information relating to a plurality of operation machines required to produce a product specified by the order, steps assigned to the respective operation machines, and a time required to execute each of the steps; a step division information providing unit for dividing the steps of the generated schedule into a plurality of tasks as information which can be interpreted and executed by the operation machines; and a step instruction unit for outputting instructions to the operation machines on the basis of the tasks from the step division information providing unit.

A method is provided for providing process protocols for processes carried out by a number of physical devices. A sensor assigned to a physical device detects measured values. Time stamps are assigned to the detected measured values, and the process protocol is generated from the measured values detected by the sensor, from an assignment of the detected measured values to the sensor and/or to the at least one device, and from the time stamp assigned to the measured values. The process protocol has a number of data sets, and each data set of the process protocol has a first attribute, where a unique identification of a process is stored and by which the process step is assigned to the process, a second attribute, where an identification of the process step is stored, and a third attribute, where a sequence of the process steps within a process is stored.

A system for managing physical assets in a manufacturing system includes a plurality of product controllers corresponding to physical assets in the manufacturing system. Each product controller is configured to store a desired product state for a physical asset and collect sensor data received from other digital companions. Furthermore, each product controller determines an actual product state based on the collected sensor data, as well as one or more actions to be performed on one or more physical assets in the manufacture system to yield the desired product state. Once the actions are determined, the product controller transmits control instructions for performing the one or more actions to one or more operation controllers in the manufacturing system.

This invention implements a work system high in flexibility and speedy system development. The work system includes a plurality of modules each having software for work which performs predetermined in-module processing, and a service base unit which inputs and outputs event information to and from the modules. The event information includes an identifier and a payload. The service base unit has a function of receiving the event information from any of the modules, and a function of transferring the event information to the other module. The other module to which the event information is transferred determines based on the identifier included in the transferred event information whether the in-module processing is performed within its own module.

Provided is a deployment platform for deployment of an industrial application on an edge computing device, ECD, connected to the controller of a machine tool, MT, the deployment platform including a model management component, MMC, adapted to instantiate a generic machine tool model, GMTM, stored in a memory to provide a machine instance model, MIM, of the respective machine tool, MT, on the basis of a machine tool data report, MTDR, received by the model management component, MMC, from the edge computing device, ECD, of the respective machine tool, MT, and further adapted to convert generic data requirements, gR, of a generic industrial application into machine tool specific requirements, mtsR, using the machine instance model, MIM, of the respective machine tool, MT, wherein an instantiated industrial application for the machine tool, MT, is provided by instantiating the generic industrial application by extending its configuration data with machine tool specific requirements.

A method for production control, in particular for production control used in the production of components, is based on a failure risk.