Necessary unit data indicative of the type and number of equipment units used in component mounting operation is obtained on the basis of production plan data, mounting data, and component library for each of production lots in advance. New allocation processing for allocating an equipment unit necessary for production execution of a new production lot to be newly produced on an electronic component mounting line for the new production lot on the basis of the necessary unit data is executed, and component reservation processing for registering the allocation result as the inventory data is conducted by a unit reservation unit.

There is provided a control apparatus including a receiving part that receives working data of manufacturing cells; a storage part that stores the working data; an item list generation part that classifies the working data for each of the components of each manufacturing cell, and extracts a data item to generate a data item list of a whole of each manufacturing cell; an integrated data generation part that compares a plurality of the data item lists, reads out detailed data of the data items having the same value from the working data stored in the storage part, and generates integrated data; an aggregated working data generation part that combines the integrated data and data other than the integrated data to generate aggregated working data; and a transmission part that externally transmits the aggregated working data.

A cell controller of a system includes: a sensor management part that collectively manages information from a sensor; a workpiece management part that monitors at least one of the stroke and the state amount of a workpiece, the stroke and state amount being included in the information from the sensor; and a task management part that selects the workpiece to be handled based on the task request from a machine controller and at least one of the stroke and the state amount of the workpiece, and transmits information on the workpiece to be handled to the machine controller.

A management device includes a data acquisition unit that collects data related to power consumption supplied to a plurality of industrial machines from at least a power supply facility, a preprocessing unit that creates power consumption data based on the collected data, a decision making unit that determines a behavior of allocating a predetermined total suspension time to the plurality of industrial machines with respect to a current state of power consumption by the plurality of industrial machines with reference to a learning model associating a value of a behavior of allocating the predetermined total suspension time to the plurality of industrial machines with a state of power consumption by the plurality of industrial machines based on power consumption data, and a suspension time allocation unit that allocates the suspension time to the plurality of industrial machines.

A method for allocating resources to machines of a production facility comprises: receiving forecast data indicating planned demands for the resources and a demand deviation for each resource; generating a new demand for each resource from the planned demand and the demand deviation of the resource in several iterations; assigning capacities to the new demands in each iteration by determining resource-machine combinations, wherein a priority is determined for each resource and each machine based on a set of priority rules, wherein the resource-machine combinations are determined by combining the resources and the machines according to the priorities; and generating a roll-out plan assigning resource-machine combinations to be rolled out to future time periods, wherein the roll-out plan is generated from the resource-machine combinations of different iterations and an estimated roll-out time for each resource-machine combination such that a total number of the resource-machine combinations to be rolled-out is minimized.

A dynamic dispatching method for semiconductor manufacturing system relates to a dynamic dispatching rule based on self-organization for dispatching in a semiconductor manufacturing system, including S1: setting roles and parameters of self-organization units, and defining key nodes in a production environment; S2: constructing a negotiation mechanism between the self-organization units, and designing a decision-making and dispatching subject ESOU; S3: according to a decision instruction of the ESOU, designing a LSOU allocation dispatching unit for distinguishing single-batch processing and multi-batch processing; and S4: designing a dispatching mechanism based on the self-organization units to implement dynamic semiconductor dispatching. The dynamic dispatching method includes three aspects: role definitions of self-organization units, a negotiation mechanism between the self-organization units and a decision-making method thereof. The simulation based on a real industry benchmark production line shows that the method improves the work movement, throughput and on-time delivery rate by 4.9%, 9.06% and 20.23%.

A system for controlling an HVAC system and for monitoring energy usage at a premises is described. The system includes an energy meter at a electrical distribution panel, where the energy meter connected to one or more current transformers monitoring the current in one or more input lines and load lines and collecting current information for each of the monitored lines. The energy meter is further including a wireless radio to transmit the current information. An intelligent thermostat is operable to control the HVAC system at the premises according to environmental data sensed by the intelligent thermostat, and to receive the current information from the energy meter and to transmit the current information to a remote server for processing. A remote server is operable to process the current information from the energy meter by applying a scaling factor to the current information to determine energy usage. The remote server can also group the energy usage information according the load types being monitored.

A system for controlling an HVAC system and for monitoring energy usage at a premises is described. The system includes an energy meter at a electrical distribution panel, where the energy meter connected to one or more current transformers monitoring the current in one or more input lines and load lines and collecting current information for each of the monitored lines. The energy meter is further including a wireless radio to transmit the current information. An intelligent thermostat is operable to control the HVAC system at the premises according to environmental data sensed by the intelligent thermostat, and to receive the current information from the energy meter and to transmit the current information to a remote server for processing. A remote server is operable to process the current information from the energy meter by applying a scaling factor to the current information to determine energy usage.

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.

A process control device includes a deadlock determination part that determines whether or not a deadlock occurrence situation occurs when a work process that is being executed and a work process scheduled to be executed next are executed simultaneously by referring to process constraint information in which a plurality of work processes and each work state of a plurality of process execution elements of a manufacturing device are associated with each other, and a process execution control part that delays an execution timing of the work process scheduled to be executed next when the deadlock determination part has determined that the deadlock occurrence situation occurs.