A shaping system for shaping a stereoscopic shaped object, the shaping system including a shaping device serving as a shaping portion and a control PC serving as a shaping controller. At a time of shaping a shaped object, the shaping device further forms a support layer that supports at least a part of the shaped object being shaped, and the control PC predicts a support layer removal time which is a time required for removing the support layer after formation of the shaped object and the support layer in the shaping device is completed.

A machining program editing device calculates an editable time for a block of a machining program, makes editable only those of a plurality of blocks in the machining program which have the editable time left remaining, and locally writes only edited portions into a machining program used for control.

A substrate production control system includes production start timing obtaining section configured to obtain information of production start timing on substrate production lines, setup time estimation section configured to estimate setup times required for a setup work of setting up the substrate production line, setup start timing determination section configured to determine setup start timing of starting the setup work based on the production start timing and the setup time, delivery time estimation section configured to estimate delivery time required for a delivery work of receiving a member necessary for production of the substrate from member warehouse and conveying the member to at least one of an execution location (external setup area) of the setup work and the substrate production line, and delivery start timing determination section configured to determine delivery start timing of starting the delivery work based on the setup start timing and the delivery time.

An operation management apparatus predicts the machining processes of one or more facilities. This operation management apparatus acquires a machining program operating on the facilities and including an execution time for each process, generates schedule data to which related information (an identifier of the process) is added, and generates, for each of the facilities, a graph (a process schedule) including a time axis and indicating a progress of the process, based on the generated schedule data.

A schedule management system 1 having isolators 3 (production facilities) and a main control device 4 for managing a production schedules of all the isolators 3. The production process of each isolator constituting the production schedule has a plurality of sub-processes, the production status being determined in the sub-process. The main control device 4 adds a new separating operation to the passage process and performs an update when the main control device 4 obtains a determination result that the separation of cells in a separation state confirmation operation (sub-process) in the passage process is insufficient while a passage process for cells A is being carried out in the isolators. The main control device 4 alters the start time of a culture medium exchange process for other cells B different from the updated passage operation, and updates the production schedule.

A shaping system for shaping a stereoscopic shaped object, the shaping system including a shaping device serving as a shaping portion and a control PC serving as a shaping controller. At a time of shaping a shaped object, the shaping device further forms a support layer that supports at least a part of the shaped object being shaped, and the control PC predicts a support layer removal time which is a time required for removing the support layer after formation of the shaped object and the support layer in the shaping device is completed.

A substrate production control system includes production start timing obtaining section configured to obtain information of production start timing on substrate production lines, setup time estimation section configured to estimate setup times required for a setup work of setting up the substrate production line, setup start timing determination section configured to determine setup start timing of starting the setup work based on the production start timing and the setup time, delivery time estimation section configured to estimate delivery time required for a delivery work of receiving a member necessary for production of the substrate from member warehouse and conveying the member to at least one of an execution location (external setup area) of the setup work and the substrate production line, and delivery start timing determination section configured to determine delivery start timing of starting the delivery work based on the setup start timing and the delivery time.

A machining program editing device calculates an editable time for a block of a machining program, makes editable only those of a plurality of blocks in the machining program which have the editable time left remaining, and locally writes only edited portions into a machining program used for control.

An operation management apparatus predicts the machining processes of one or more facilities. This operation management apparatus acquires a machining program operating on the facilities and including an execution time for each process, generates schedule data to which related information (an identifier of the process) is added, and generates, for each of the facilities, a graph (a process schedule) including a time axis and indicating a progress of the process, based on the generated schedule data.

Since single and dual-arm tools behave differently, it is difficult to coordinate their activities in a hybrid multi-cluster tool that is composed of both single- and dual-arm tools. Aiming at finding an optimal one-wafer cyclic schedule for a treelike hybrid multi-cluster tool whose bottleneck tool is process-bound, the present work extends a resource-oriented Petri net to model such system. By the developed Petri net model, to find a one-wafer cyclic schedule is to determine robot waiting times. By doing so, it is shown that, for any treelike hybrid multi-cluster tool whose bottleneck tool is process-bound, there is always a one-wafer cyclic schedule. Then, computationally efficient algorithms are developed to obtain the minimal cycle time and the optimal one-wafer cyclic schedule. Examples are given to illustrate the developed method.