Idle Vehicle Parking Assignment in Semiconductor Manufacturing
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Solution Overview
Problem
In semiconductor manufacturing, the inefficient assignment of material transport vehicles to parking locations leads to variability in transit times and throughput, as existing systems struggle to balance vehicle distribution and utilization, resulting in increased retrieval times and potential congestion.
Innovation Solution
A method and system that utilize a material handling controller to determine optimal parking locations for idle vehicles based on cost factors including expected transit times, load priorities, and vehicle availability, employing a linear mixed-integer programming model to prioritize parking assignments and optimize vehicle distribution across the manufacturing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If idle material handling vehicles are distributed randomly or uniformly across the fabrication facility, then the system structure remains simple, but the retrieval time variability increases and system throughput decreases
Solution Approach 1:
The system performs preliminary actions by proactively assigning idle vehicles to parking locations before actual retrieval requests occur. The vehicle assignment system calculates optimal parking locations based on predicted future demands, load priorities, and current vehicle distributions, ensuring vehicles are positioned in advance to minimize retrieval times when needed.
Solution Approach 2:
The vehicle assignment system implements dynamic adjustment of vehicle distributions based on changing system conditions. It continuously monitors load priorities, tool demands, and vehicle locations, then dynamically reassigns idle vehicles to different parking locations to optimize retrieval times and reduce variability as system conditions evolve.
2Reliability
If the number of idle material handling vehicles in a controlling area is increased, then more vehicles are available for high-priority loads, but vehicle traffic increases and delivery times are extended
Solution Approach 1:
The system applies local quality by assigning different numbers of idle vehicles to different controlling areas based on specific local conditions. It evaluates load priorities, tool demands, and current vehicle distributions in each area, then assigns vehicles to parking locations in areas where they are most needed for high-priority loads, rather than uniformly distributing vehicles across all areas.
Solution Approach 2:
The vehicle assignment system changes parameters by dynamically adjusting the number and locations of idle vehicles based on varying system conditions. It modifies vehicle assignment decisions according to load priorities, tool demands, and current vehicle distributions, optimizing the balance between vehicle availability and delivery times under different operating conditions.
3Speed
If idle material handling vehicles are concentrated in one controlling area, then retrieval time for that area is reduced, but the distribution balance across the facility deteriorates and overall retrieval time variability increases
Solution Approach 1:
The system dynamically balances vehicle distributions across controlling areas by continuously evaluating system conditions and adjusting assignments accordingly. It prevents excessive concentration of idle vehicles in any single area while ensuring adequate availability where needed, adapting to changing demands to maintain overall distribution balance and reduce retrieval time variability across the entire facility.
Solution Approach 2:
The vehicle assignment system performs preliminary assignments that consider future demand patterns across multiple controlling areas. It proactively positions idle vehicles in parking locations that will optimize future retrieval operations while maintaining balanced distributions, preventing both over-concentration and under-utilization in any single area.
Data Source
AI summary
A method for determining parking assignments for material handling vehicles in a manufacturing system is provided. The manufacturing system is operable to perform fabrication processes on a plurality of loads. The method includes identifying at least one idle material handling vehicle. A first cost factor associated with expected transit times for the at least one idle material handling vehicle to available parking locations in the manufacturing system is determined. A second cost factor based on a number of loads available to be serviced by the at least one idle material handling vehicle in the parking locations and relative priorities assigned to the loads is determined. A parking location for the at least one idle material handling vehicles is determined based on the first and second cost factors. A parking request is issued to the at least one idle material handling vehicle based on the determined parking locations.