Automated state estimation system for cluster tools and a method of operating the same
By using weighted entity states for representing a state of a cluster tool, a highly efficient technique for the measurement and monitoring of cluster tool characteristics, such as reliability, availability and maintainability, is provided. For example, individual entities of the cluster tool may be weighted according to their capacity and corresponding entity states may be ranked in accordance with a predefined hierarchy structure, thereby enabling an efficient combination of weighted entity states so as to represent the cluster tool state.
1. A method, comprising:
receiving process messages from a cluster tool used in a manufacturing process line via an interface communicating with said cluster tool, said cluster tool comprising a plurality of entities, wherein said process messages comprise tool-specific information specifying one of a plurality of available states for each of said entities;
automatically determining a metric for a current total state of said cluster tool on the basis of a functional capacity of each entity and said process messages, wherein said plurality of available states comprises a productive state, a standby state, an engineering state, a scheduled down state, an unscheduled down state and a non-scheduled state, and wherein said plurality of available states are ranked in a hierarchy, and wherein said hierarchy has a ranking of said plurality of available states in the following order from lowest to highest priority: a productive state, a standby state, an engineering state, a scheduled down state, an unscheduled down state and a non-scheduled state.
2. The method of claim 1 , wherein said metric of said current total state of the cluster tool is a set of values, each value being associated with a respective one of said available states and representing a weighted contribution of said respective one available state to said current total state.
3. The method of claim 1 , further comprising measuring at least one of reliability, availability and maintainability on the basis of said metric of the current total state.
4. The method of claim 1 , further comprising determining an updated metric for said total state for an operation time interval defined by a state change of at least one entity.
5. A method, comprising:
receiving process messages from a cluster tool used in a manufacturing process line via an interface communicating with said cluster tool, said cluster tool comprising a plurality of entities:
automatically determining a metric for a current total state of said cluster tool on the basis of a functional capacity of each entity and said process messages; and
defining a weighted capacity for each of said plurality of entities, wherein an entity having the lowest capacity is used as a reference.
6. The method of claim 5 , wherein said weighted capacity for each entity is determined on the basis of a cycle time for a specified process in each entity and the number of substrates simultaneously processed in each entity.
7. The method of claim 6 , further comprising dynamically updating said cycle time on the basis of said process messages.
8. A method, comprising:
receiving process messages from a cluster tool used in a manufacturing process line via an interface communicating with said cluster tool, said cluster tool comprising a plurality of entities:
automatically determining a metric for a current total state of said cluster tool on the basis of a functional capacity of each entity and said process messages; and
defining a setup matrix for said cluster tool, said setup matrix comprising a row for each entity and columns for process steps and a weighted capacity for each of said plurality of entities, said process steps determining a process flow through said cluster tool.
9. The method of claim 8 , further comprising defining a hierarchy of said plurality of available states and using said hierarchy for determining said metric of said total state.
10. The method of claim 9 , wherein said hierarchy has a ranking of said plurality of available states in the following order from lowest to highest priority: a productive state, a standby state, an engineering state, a scheduled down state, an unscheduled down state and a non-scheduled state.