G05B2219/32297

SYSTEM AND METHOD FOR PROVIDING SHORT-TERM DISPATCHING DECISIONS FOR OPERATING A NUMBER OF RESOURCES INVOLVED IN A NUMBER OF PRODUCTION PROCESSES UNDER CONSIDERATION OF LONG-TERM OBJECTIVES
20220270012 · 2022-08-25 ·

The disclosed is a system and production processes, comprising a processor to perform the steps: a) obtaining a long-term production schedule containing production operations for a set of production orders by using forecasted values for production operation durations; b) deriving dispatching recommendations for suitable order release dates, dispatching sequences and/or resource choices of all subsequent operational dispatching decisions from the obtained long-term production schedule; c) obtaining a released subset of the set of production orders having each a release date and a due date and including information of all possible dispatching sequences and logical dependencies between them to produce a requested product; d) iteratively calculating subsequent operational dispatching decisions based on operational constraints and on the derived dispatching recommendations which support a decision-making in favor of optimizing the overall production process with respect to long-term objectives; e) outputting each calculated operational dispatching decision to a production executer.

Component mounting system and progress display system of set-up work

A component mounting system includes a component mounting line, a storage device, and a display device. The component mounting line is formed by connecting a plurality of mounting board manufacturing machines. The storage device is connected to the component mounting line via a network to acquire information from each of the plurality of mounting board manufacturing machines. The display device is connected to the storage device via the network and displays a progress status of set-up work executed when changing a type of a mounting board manufactured by the component mounting line based on information stored in the storage device.

Control planning device, control planning system, control planning method, and recording medium
11415970 · 2022-08-16 · ·

An evaluation target period acquiring unit acquires an evaluation target period based on an evaluation timing included by evaluation index information that includes at least an evaluation index to be evaluated and the evaluation timing of the evaluation index. A control target extracting unit extracts a control target whose control timing is included in the evaluation target period as a first control target from control target information that includes at least the control target to be the target of a control plan in an operation and the control timing of each control target. A control planning unit calculates the control plan maximizing the evaluation index with the first control target as a variable and state information that is information necessary for calculation of a control achievement at a time of planning and the control plan, as a constraint condition.

CONTROL PLANNING DEVICE, CONTROL PLANNING SYSTEM, CONTROL PLANNING METHOD, AND RECORDING MEDIUM
20210041858 · 2021-02-11 · ·

An evaluation target period acquiring unit acquires an evaluation target period based on an evaluation timing included by evaluation index information that includes at least an evaluation index to be evaluated and the evaluation timing of the evaluation index. A control target extracting unit extracts a control target whose control timing is included in the evaluation target period as a first control target from control target information that includes at least the control target to be the target of a control plan in an operation and the control timing of each control target. A control planning unit calculates the control plan maximizing the evaluation index with the first control target as a variable and state information that is information necessary for calculation of a control achievement at a time of planning and the control plan, as a constraint condition.

Plant control system
10955821 · 2021-03-23 · ·

A plant control system comprises a feedback controller 5 configured to determine a control input of a plant 6 so that one control output of the plant approaches a target value, a provisional target value calculating part 2 configured to calculate a provisional target value based on a predetermined parameter of the plant, and a reference governor 3 configured to perform a minimum value search of an object function by updating a corrected target value to thereby derive the target value from the provisional target value. The reference governor is configured to update the corrected target value only between r0.5R.sub.r and r. R.sub.r is a value of a partial differential for the corrected target value w of the object function when the corrected target value w is the provisional target value r.

Production planning system and method

The invention relates to production planning systems and methods. A production optimization system is provided which has the following: a production environment with at least one first machine, a second machine, a distribution unit configured to be connected to the first machine and the second machine via a communication network and to ascertain the machine state thereof, and an optimization unit configured to generate a production plan where at least one task for producing a product is separated into machine-specific sub-tasks for the first machine or the second machine, said sub-tasks being provided with a sequence for the first machine or the second machine. The distribution unit ascertains the next occurring sub-task for the first machine or the second machine from the optimization unit while taking into consideration the respective machine state, to remove the sub-task from the production plan, and to assign the sub-task to the respective machine.

Component mounting system, worker allocation system, and worker allocation method

A component mounting system includes a plurality of component mounting lines, and in the production of predetermined mounting boards, determines an allocation of workers to work which arises in each of the plurality of component mounting lines such that production completion times of the plurality of component mounting lines become sooner.

COMPONENT MOUNTING SYSTEM AND PROGRESS DISPLAY SYSTEM OF SET-UP WORK

A component mounting system includes a component mounting line, a storage device, and a display device. The component mounting line is formed by connecting a plurality of mounting board manufacturing machines. The storage device is connected to the component mounting line via a network to acquire information from each of the plurality of mounting board manufacturing machines. The display device is connected to the storage device via the network and displays a progress status of set-up work executed when changing a type of a mounting board manufactured by the component mounting line based on information stored in the storage device.

Component mounting system and progress display system of set-up work

A component mounting system includes a component mounting line, a storage device, and a display device. The component mounting line is formed by connecting a plurality of mounting board manufacturing machines. The storage device is connected to the component mounting line via a network to acquire information from each of the plurality of mounting board manufacturing machines. The display device is connected to the storage device via the network and displays a progress status of set-up work executed when changing a type of a mounting board manufactured by the component mounting line based on information stored in the storage device.

Method and apparatus for automatically scheduling jobs in computer numerical control machines using machine learning approaches

The method includes collecting a schedule job list from a database, generating a plurality of schedules for a schedule job to be processed with respect to the schedule job list, calculating an evaluation index for the plurality of generated schedules, determining whether the calculated evaluation index for the plurality of schedules has reached a target evaluation index, selecting a schedule corresponding to two evaluation indices when the calculated evaluation index does not reach the target evaluation index and generating two new schedules using a genetic algorithm, and setting a selection probability so that a schedule having the highest evaluation index is selected and returning the selection probability to a user when the calculated evaluation index reaches the target evaluation index.