System and method for discrete supply chain control and optimization using model predictive control
First Claim
1. A system comprising:
- a first controller configured to monitor one or more processes associated with a process facility and to generate control data for optimizing the process facility;
a second controller configured to receive the control data and use stochastic calculus of variations calculations to modify at least a portion of the control data, the second controller configured to provide discrete supply chain control and optimization for the process facility and to track at least one of demand requirements and shipping requirements for a product manufactured by a discrete supply chain manufacturing process; and
one or more third controllers configured to operate in accordance with the modified control data to control the one or more processes and to optimize the process facility.
1 Assignment
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Accused Products
Abstract
A system includes a first controller configured to monitor processes associated with a process facility and to generate control data for optimizing the process facility. The system also includes a second controller configured to use stochastic calculus of variations calculations to modify at least a portion of the control data. The second controller is configured to provide discrete supply chain control and optimization for the process facility and to track at least one of demand requirements and shipping requirements for product manufactured by a discrete supply chain manufacturing process. The system further includes third controllers configured to operate in accordance with the control data to control the processes and to optimize the process facility.
46 Citations
24 Claims
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1. A system comprising:
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a first controller configured to monitor one or more processes associated with a process facility and to generate control data for optimizing the process facility; a second controller configured to receive the control data and use stochastic calculus of variations calculations to modify at least a portion of the control data, the second controller configured to provide discrete supply chain control and optimization for the process facility and to track at least one of demand requirements and shipping requirements for a product manufactured by a discrete supply chain manufacturing process; and one or more third controllers configured to operate in accordance with the modified control data to control the one or more processes and to optimize the process facility. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 24)
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13. A method comprising:
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monitoring one or more processes associated with a process facility and generating control data for optimizing the process facility; modifying at least a portion of the control data using stochastic calculus of variations calculations to provide discrete supply chain control and optimization for the process facility and to track at least one of demand requirements and shipping requirements for a product manufactured by a discrete supply chain manufacturing process; and controlling the one or more processes in accordance with the modified control data to optimize the process facility. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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21. An apparatus comprising:
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a first module configured to perform a scheduled to go function to keep track of inventory releases, the inventory releases made to satisfy a specified schedule for a product in a discrete supply chain manufacturing process; and a second module configured to perform a target release function that uses unfilled releases and a number of control intervals remaining in a current period to calculate a target value for an intervals release; wherein the first module is configured to use a disturbance variable to represent product orders, a controlled variable to represent unfilled product orders, and at least one manipulated variable to fill the product orders; and wherein the second module is configured to use one of a manipulated variable and a controlled variable to specify the target value.
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22. A non-transitory computer readable medium embodying a computer program, the computer program comprising computer readable program code for:
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receiving control data for optimizing a process facility associated with one or more processes; using stochastic calculus of variations calculations to modify at least a portion of the control data to provide discrete supply chain control and optimization for the process facility and to track at least one of demand requirements and shipping requirements for a product manufactured by a discrete supply chain manufacturing process; and providing the modified control data to one or more controllers configured to operate in accordance with the modified control data to control the one or more processes.
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23. An apparatus comprising:
at least one processor configured to; receive control data for optimizing a process facility associated with one or more processes; use stochastic calculus of variations calculations to modify at least a portion of the control data to provide discrete supply chain control and optimization for the process facility and to track at least one of demand requirements and shipping requirements for a product manufactured by a discrete supply chain manufacturing process; and provide the modified control data to one or more controllers configured to operate in accordance with the modified control data to control the one or more processes.
Specification