Production Line Changeover Using Wash Codes and QC Hold Logic
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Solution Overview
Problem
Existing manufacturing processes face inefficiencies during line changeovers, particularly in paint production, leading to increased downtime and production delays due to unnecessary cleaning and quality control checks.
Innovation Solution
Implementing an automated cleanout component that determines the appropriate wash type based on Formal Digital Changeover Codes (FDCC) to optimize cleaning sequences, using a scheduling tool to minimize wash times, and incorporating an accelerated fill check to enable product release only after quality control approval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cleaning procedures are performed during line changeover, then product contamination is prevented, but changeover time increases
Solution Approach 1:
The system changes the parameter of cleaning intensity by determining different wash types (e.g., no wash, quick wash, full wash) based on the combination of current and next product codes. This allows the cleaning process to be adapted to the specific requirements of each product transition, preventing unnecessary cleaning while ensuring adequate contamination prevention.
Solution Approach 2:
The system uses a lookup table that stores pre-defined wash type information for various product code combinations. This copying of established cleaning protocols from the lookup table enables rapid determination of appropriate cleaning procedures without requiring complex real-time analysis, thus reducing changeover time while maintaining reliability.
2Reliability
If comprehensive quality control checks are performed on all products, then product quality is ensured, but production throughput decreases
Solution Approach 1:
The system varies the quality control parameter by applying different levels of inspection based on product code combinations and wash types. High-risk transitions undergo comprehensive checks while low-risk transitions receive minimal or no additional inspection, thereby maintaining product quality while maximizing production throughput.
Solution Approach 2:
The system references quality control requirements from the lookup table based on product codes, copying established inspection protocols appropriate for each product transition type. This enables consistent quality control without requiring complex real-time decision-making, maintaining both quality and throughput.
3Ease of operation
If fixed cleaning sequences are used for all product transitions, then process simplicity is maintained, but unnecessary cleaning operations increase changeover time
Solution Approach 1:
The system dynamically adjusts the cleaning sequence parameters based on the specific combination of current and next product codes. By looking up the appropriate wash type for each transition scenario, the system optimizes cleaning operations to perform only necessary steps, reducing changeover time while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
The cleaning sequence transitions from a static fixed procedure to a dynamic adaptive process that automatically adjusts based on product code combinations. The system dynamically selects from multiple predefined wash type options (no wash, quick wash, full wash) to match the specific requirements of each product transition, eliminating unnecessary operations while keeping the process simple through automation.
Data Source
AI summary
Described herein are methods for performing changover of a production line from a first product to a second product. One method involves assigning changover codes to the first product and second product and determining a wash type for the changover. A second method involves receiving a plurality of batch production orders for a plurality of products. Wash types for different sequences of the batch production orders are determined and a sequence is selected that reduces the amount of time for washing the line during changeovers. A third method involves transferring a product to a fill station prior to receiving quality control test results. The product is held at the fill station prior to the receipt of the test results. If the product passes the quality control test then the product is distributed by the fill station; otherwise, the product fails the quality control test, the product is quarantined.