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A method and system for designing a manufacturing facility for solid state thin film battery devices. The method can include providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities. A plurality of variables can be assign

A method and system for designing a manufacturing facility for solid state thin film battery devices. The method can include providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities. A plurality of variables can be assigned for the plurality of processing tools. A target financial variable can be defined to evaluate different manufacturing processing tool configurations. The plurality of variables in the tensor relationship can be processed to reduce a magnitude of the target variable. An optimized set of the plurality of processing tools and respective configuration with the plurality of tools associated with the reduced magnitude of the target variable can be determined through processing. The optimized set of the plurality of processing tools in the respective configuration can be used in the one or more manufacturing facilities for the manufacture of a solid state thin film battery device.

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1. A method for forming a manufacturing facility comprising: providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities;assigning a plurality of variables, respectively, for the plurality of processing tools;providing the p

1. A method for forming a manufacturing facility comprising: providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities;assigning a plurality of variables, respectively, for the plurality of processing tools;providing the plurality of variables in a tensor format;defining a target financial variable to evaluate different manufacturing processing tool configurations, the target financial variable including at least internal rate of return (IRR), modified internal rate of return (MIRR), net present value (NPV) and weighted average cost of capital (WACC);processing the plurality of variables in a tensor relationship to reduce a magnitude of the target variable;determining an optimized set of the plurality of processing tools and respective configuration with the plurality of processing tools associated with the reduced magnitude of the target variable;using the optimized set of the plurality of processing tools in the respective configuration in the one or more manufacturing facilities; andoperating the optimized set of the plurality of processing tools for manufacturing of a solid state thin film battery device. 2. The method of claim 1 wherein the target financial variable is calculated based on inputs comprising capital expenditure, production rate, profit of one single product unit, operation expenditure and discount rate. 3. The method of claim 1 wherein the targeted financial variable is simplified as a ratio of capital expenditure over production rate for a first-order analysis. 4. The method of claim 3 wherein the total capital expenditure is provided by a sum of the capital expenditure of the plurality of processing tools associated with processing facilities included inside the tools. 5. The method of claim 3 wherein the production rate is provided by a throughput rate of a rate-limiting processing tool. 6. A method for forming a manufacturing facility comprising: providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities, wherein the plurality of processing tools comprises physical vapor deposition based thin film coater, chemical vapor deposition based thin film coater, atomic layer deposition thin film coater, winder, slitter, packaging machine using a technique of at least but not limited to dip coating, and robotic arms for attaching leads, wiring, moving, handling and electronic control component assembling;assigning a plurality of variables, respectively, for the plurality of processing tools;providing the plurality of variables in a tensor format;defining a target financial variable to evaluate different manufacturing processing tool configurations;processing the plurality of variables in a tensor relationship to reduce a magnitude of the target variable;determining an optimized set of the plurality of processing tools and respective configuration with the plurality of tools associated with the reduced magnitude of the target variable;using the optimized set of the plurality of processing tools in the respective configuration in the one or more manufacturing facilities; andoperating the optimized set of tools for manufacturing of a solid state thin film battery device. 7. The method of claim 6 wherein the physical vapor deposition based thin film coater includes at least one of the processing facilities comprising vacuum chamber, electron-beam evaporator, thermal evaporator, pulsed laser deposition tool, flash evaporator and ion-beam assisted deposition tool and ion-beam sputtering tool. 8. A method for forming a manufacturing facility comprising: providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities;assigning a plurality of variables, respectively, for the plurality of processing tools, wherein the plurality of variables comprises capital cost of the tool, throughput of the tool, downtime of the tool, yield of the tool, efficiency of the tool, material load and unload time of the tool, preparation time of the tool, work in process for the tool and operational cost of the tool including labor and electricity cost;providing the plurality of variables in a tensor format;defining a target financial variable to evaluate different manufacturing processing tool configurations;processing the plurality of variables in a tensor relationship to reduce a magnitude of the target variable;determining an optimized set of the plurality of processing tools and respective configuration with the plurality of tools associated with the reduced magnitude of the target variable;using the optimized set of the plurality of processing tools in the respective configuration in the one or more manufacturing facilities; andoperating the optimized set of tools for manufacturing of a solid state thin film battery device. 9. A method for forming a manufacturing facility comprising: providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities;assigning a plurality of variables, respectively, for the plurality of processing tools;providing the plurality of variables in a tensor format;defining a target financial variable to evaluate different manufacturing processing tool configurations;processing the plurality of variables in a tensor relationship to reduce a magnitude of the target variable;determining an optimized set of the plurality of processing tools and respective configuration with the plurality of tools associated with the reduced magnitude of the target variable;using the optimized set of the plurality of processing tools in the respective configuration in the one or more manufacturing facilities; andoperating the optimized set of tools for manufacturing of a solid state thin film battery device, wherein the manufacturing facility is configured with a design comprising a continuously moving web design and a carousel design. 10. A system for designing a manufacturing plant, the system comprising: a computer readable memory device, the computer readable memory including: one or more codes directed to a plurality of tool parameters corresponding respectively to a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities;one or more codes directed to a plurality of variables, respectively, for the plurality of processing tools; whereupon the plurality of variables are arranged in a tensor format; one or more codes directed to a processing tool configuration tensor;a tensor operation module configured to process the plurality of variables and the configuration tensor to obtain production rate, capital expenditure, and operation expenditure;a financial modeling module to reduce a magnitude of a target financial variable associated with a set of the plurality of variables and the configuration tensor; the target financial variable comprising at least internal rate of return (IRR), modified internal rate of return (MIRR), net present value (NPV) and weighted average cost of capital (WACC);an optimization module configured to output an optimized configuration tensor associated with the optimal target financial variable; anda post-processing module configured to convert the optimal configuration tensor to output an optimized set of tools and associated configuration for the optimized set of tools. 11. The system of claim 10 wherein the processing tool configuration tensor is a n-order tensor with n dimensions to index a plurality of specifications comprising at least the processing step, allocated locations for tools inside the processing step, processing tool type and the type of facility used inside a processing tool. 12. The system of claim 10 wherein the processing tool configuration tensor comprises elements which have binary values of zero and one. 13. The system of claim 10 wherein the tensor operation module comprises adding two tensors, multiplying two tensors, transposing first-order and second-order tensors, contracting a tensor and finding the maximum or minimum element of a tensor or a subset of the tensor along with specified dimensions. 14. The system of claim 10 wherein the optimization module comprises one or more codes directed to an integer programming optimization process applying enumerative techniques, branch-and-bound techniques or cutting planes techniques. 15. The system of claim 10 wherein the post-processing module comprises importing the optimal configuration tensor, identifying non-zero elements which have exactly values of on; and outputting the optimal configuration information with specifications of which type of and how many processing tools are used for each processing step associated with which type of and how many processing facilities are used inside each processing tool. 16. A method for forming a manufacturing facility comprising: providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities;assigning a plurality of variables, respectively, for the plurality of processing tools;providing the plurality of variables in a tensor format;defining a target financial variable to evaluate different manufacturing processing tool configurations;processing the plurality of variables in a tensor relationship to reduce a magnitude of the target variable;determining an optimized set of the plurality of processing tools and respective configuration with the plurality of tools associated with the reduced magnitude of the target variable;using the optimized set of the plurality of processing tools in the respective configuration in the one or more manufacturing facilities; andoperating the optimized set of tools for the manufacture of a solid state, hybrid thin film energy storage and conversion device, the solid state, hybrid thin film energy storage and conversion device including at least a solar cell device/battery device, an optical device/battery device, a capacitor device/battery device, a fuel cell device/battery device, a first battery device/second battery device and a micro-combustion engine device/battery device. 17. A method for forming a manufacturing facility comprising: providing a plurality of processing tools for arrangement within a predetermined spatial region of one or more manufacturing facilities;assigning a plurality of variables, respectively, for the plurality of processing tools;providing the plurality of variables in a tensor format;defining a target financial variable to evaluate different manufacturing processing tool configurations, wherein the target financial variable comprises at least internal rate of return (IRR), modified internal rate of return (MIRR), net present value (NPV) and weighted average cost of capital (WACC);processing the plurality of variables in a tensor relationship to reduce a magnitude of the target variable;determining an optimized set of the plurality of processing tools and respective configuration with the plurality of tools associated with the reduced magnitude of the target variable;using the optimized set of the plurality of processing tools in the respective configuration in the one or more manufacturing facilities; andoperating the optimized set of tools for manufacturing of a solid state, hybrid thin film energy storage and conversion device.