Dynamic Conveyor Cart Pool Allocation for Peak Throughput
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Solution Overview
Problem
Conveyor systems in manufacturing plants face inefficiencies due to the need for a high number of idle conveyor carts stored at operating sites to handle throughput peaks, leading to high investment costs and resource wastage, as plants often operate at partial load and require flexible adaptation to changing process sequences and throughput demands.
Innovation Solution
A method that utilizes a conveyor-cart pool to dynamically adjust the number of carts at operating sites by transferring surplus or additional carts between sites, ensuring the actual number matches the desired number, thereby optimizing resource use and reducing idle carts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a high number of conveyor carts are stored at operating sites to handle throughput peaks, then the system can maintain high productivity during peak demand, but investment costs and resource wastage increase significantly
Solution Approach 1:
The system divides the conveyor cart fleet into two segments: a core fleet permanently stationed at operating sites and a reserve fleet stored at a central depot. This segmentation allows the system to maintain adequate throughput capacity at operating sites while minimizing the total number of carts needed, as carts can be dynamically reallocated from the reserve fleet during peak demand periods.
Solution Approach 2:
The system implements dynamic allocation of conveyor carts based on real-time demand assessment. A control device continuously monitors throughput requirements and automatically triggers transfers of carts between the depot and operating sites, allowing the system to adapt its resource distribution to match actual productivity needs without maintaining excessive reserve capacity at all locations.
2Reliability
If conveyor carts are permanently stationed at operating sites, then immediate availability for throughput peaks is ensured, but flexibility to adapt to changing process sequences and demand patterns is reduced
Solution Approach 1:
The system transitions from static cart allocation to dynamic allocation by implementing an automated control device that continuously assesses demand and triggers cart transfers. This allows the system to maintain high reliability during peak periods while simultaneously adapting to changing process sequences and demand patterns, as carts can be reallocated in response to actual operational needs rather than being permanently stationed.
Solution Approach 2:
The control device implements a feedback mechanism by continuously monitoring throughput requirements and cart utilization at operating sites. Based on this feedback, the system automatically determines when and where to transfer carts, ensuring both immediate availability when needed and flexibility to adapt to changing conditions, thereby resolving the contradiction between reliability and adaptability.
3Productivity
If a large fleet of conveyor carts is maintained to cover all possible throughput scenarios, then maximum productivity is achieved, but the system complexity and management overhead increase
Solution Approach 1:
The system implements self-service by automating the assessment and transfer of conveyor carts through a control device that autonomously monitors demand and executes reallocation decisions. This eliminates the need for complex manual management of a large fleet, as the system automatically optimizes cart distribution to achieve maximum throughput while minimizing the total fleet size required, thereby reducing management complexity.
Solution Approach 2:
The system changes the operational parameter from fixed fleet size at each location to dynamic fleet allocation based on real-time demand assessment. This allows the system to achieve maximum throughput by concentrating carts where needed while reducing the total number of carts required, thereby simplifying fleet management and reducing complexity associated with maintaining a large permanent fleet across all locations.
Data Source
AI summary
A method for operating a conveyor system for objects, in which a conveyor apparatus is present at an operating site and is operated with a plurality of conveyor carts each having at least one fastening device for at least one object. The number of conveyor carts available at the operating site for operating the conveyor apparatus for a process sequence defines an actual number; the number of conveyor carts needed at the operating site to operate the conveyor apparatus for the process sequence defines a target number. The difference between the actual number and the target number defines a required number if the actual number is less than the target number, or defines an excess number if the actual number is greater than the target number. A conveyor cart pool is provided and comprises a stock number of conveyor carts, at least some of which are stored at a pool site which differs from the operating site of the conveyor apparatus. A number of conveyor carts corresponding to the required number is physically transferred from the conveyor cart pool to the operating site, as a result of which the actual number is increased by the required number and the stock number is reduced by the required number, or a number of conveyor carts corresponding to the excess number is assigned to the conveyor cart pool, as a result of which the actual number is reduced by the excess number and the stock number is increased by the excess number.