Manufacturing Plant Simulation Using WIP-Dependent Capacity Models
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Solution Overview
Problem
Current semiconductor manufacturing plant simulations lack accuracy due to the inability to consider factors beyond machine parameters, leading to costly mistakes and inefficiencies in production planning.
Innovation Solution
The implementation of augmented capacity and elapsed time functions that account for work-in-process (WIP) waiting in front of machines, allowing for more precise simulation of machine operations and production planning by incorporating WIP-dependent capacity and elapsed time calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simulation models using only machine parameters are used, then the simulation model is simple, but the simulation accuracy is low
Solution Approach 1:
The patent transforms static machine parameters into dynamic functions that adapt based on real-time work-in-process conditions. Capacity and elapsed time are no longer fixed values but become dynamic functions that adjust according to WIP levels, making the simulation model responsive to changing plant conditions and improving accuracy without requiring complete restructuring of the simulation framework
Solution Approach 2:
The patent introduces new parameters (WIP-dependent capacity and elapsed time) that modify traditional machine parameters based on current plant state. By changing how parameters are defined and calculated rather than adding entirely new complex models, the system achieves higher simulation accuracy while maintaining reasonable model complexity
2Productivity
If WIP-dependent capacity functions are calculated to improve simulation accuracy, then operational efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent pre-calculates and stores capacity and elapsed time functions during system setup or idle periods, so that during actual simulation and operation, these values can be retrieved and applied directly without performing complex calculations in real-time. This preliminary preparation reduces computational burden during critical operational decision-making while still providing accurate WIP-dependent parameters
Solution Approach 2:
The simulation system automatically calculates and updates its own capacity and elapsed time functions based on current WIP data without requiring external manual intervention. The system serves itself by continuously monitoring plant state and adjusting simulation parameters autonomously, reducing the need for complex external computational tools while improving operational efficiency
Data Source
AI summary
A method to simulate operations of a manufacture plant comprising a plurality of machines, the method including receiving a capacity function and an elapsed time function associated with a first machine of the plurality of machines, wherein the capacity function and elapsed time function is defined by one or more parameters characterizing the first machine, receiving a record of historical production data associated with the first machine, calculating, based on the capacity function and the record of historical production data, an augmented capacity function and an augmented elapsed time function that is defined by the one or more parameters and a quantity relating to parts waiting for processing (WIP), and simulating the operations of the plant based on the augmented capacity function and augmented elapsed time function.