A material processing path selection method includes calculating a plurality of candidate material processing paths, determining a bottleneck process tank, and for each of the plurality of candidate material processing paths, calculating a bottleneck process tank utilization rate to select a candidate material processing path with a highest bottleneck process tank utilization rate in the plurality of candidate material processing paths as a target material processing path. The bottleneck process tank is a process tank having a highest use frequency among all process tanks, A use frequency of the process tank is equal to a total process time length of all materials that need to be transferred to the process tank divided by a number of all the materials that need to be transferred to the process tank.

Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.

A system for recommending a maximum quantity of work in process, in which one or more processors of a distributed storage device are configured to execute: acquiring at least part of production data stored in the distributed storage device, the production data includes quantity records and cycle time records of a production line in time periods, and the cycle time record of each time period includes a cycle time at each process station of the production line in said each time period; clustering the quantity records to obtain a plurality of initial classifications, each initial classification includes at least one quantity record; determining a portion of the initial classifications as preferred classifications; determining the maximum quantity of work in process at each process station; and a display device is configured to display the maximum quantity of work in process at each process station determined by an analysis device.

A wafer manufacturing system includes a wafer manufacturing device provided with a sensor; a host PC that is connected to the wafer manufacturing device via a data communication line; a logic controller that samples and stores an analog output signal of the sensor; and a relay PC that extracts tracking information transmitted on the data communication line for a wafer or a single crystal that is being processed by the wafer manufacturing device and sends the tracking information to the logic controller, and the logic controller stores a digital value of the analog output signal of the sensor in association with the tracking information that is sent from the relay PC.

Various embodiments include a method for deploying field device into an Internet of Things (IoT). The method may include: acquiring information from a field device using an edge device; transmitting the acquired information to a cloud platform; wherein the information comprises data and an industrial IoT model; converting the industrial IoT model into a graph; performing similarity analysis based on the graph; classifying the industrial IoT model based on the similarity analysis; generating a first industrial IoT model comprising a type or an example; performing data mapping on the first industrial IoT model; and operating the field device as part of the IoT.

The confidentiality of data is maintained in the case of outsourcing analysis of an operation state of a facility. Degree-of-relevance information indicating a degree of relevance in operation between a plurality of apparatuses included in a facility is stored. At the occurrence of a failure in a first apparatus included in the plurality of apparatuses, a second apparatus having a degree of relevance in operation to the first apparatus equal to or greater than a preset first threshold is selected from the plurality of apparatuses based on the degree-of-relevance information, and the log data relating to operation states of the first apparatus in which a failure has occurred and the selected second apparatus are selectively read from a first memory storage, and the read log data is transmitted to a data user via a network.

The confidentiality of data is maintained in a case where analysis of an operation state of a facility is entrusted to the outside. Time difference information in operation between the manufacturing apparatuses (RB1), (RB2), . . . , arranged on the production line (LN) is stored for each of the apparatuses, in an inter-apparatus time difference information storage unit (33). At the occurrence of a failure in one of the manufacturing apparatuses (RB1), (RB2), . . . , the operation estimation unit (13) selects, from among the peripheral apparatuses on the upstream side and the downstream side with respect to the manufacturing apparatus concerned, one on the upstream side and one on the downstream side, estimates an operation period of each selected peripheral apparatus associated with the failure, reads log data corresponding to the estimated operation period from the operation history storage unit (31), and transmits the read piece to the external support center (SC).

The invention relates to a server for sending and receiving data, in particular for an order control of production orders, wherein the server is adapted to establish a data connection with a plurality of order computers arranged distanced from the server at an orderer location and to receive an order data package containing geometric anatomy information, in particular about a digital dental impression of a patient and address information about the order computer, from each one of these order computers.

The invention relates to a server for sending and receiving data, in particular for an order control of production orders, wherein the server is adapted to establish a data connection with a plurality of order computers arranged distanced from the server at an orderer location and to receive an order data package containing geometric anatomy information, in particular about a digital dental impression of a patient and address information about the order computer, from each one of these order computers.

A non-transitory computer-readable storage medium storing a work planning program that causes at least one computer to execute a process, the process includes dividing a plurality of objects into a plurality of groups according to a type of a constraint condition set to each of the plurality of objects, the constraint condition being related to an order in which the plurality of objects are worked in a work line; and acquiring an order of the plurality of objects in the work line so that the constraint condition is satisfied in each of the plurality of groups.