Revolutionizing Manufacturing Quality Assurance with Part Check

a major manufacturing company grappling with manual quality assurance challenges, partnered with us to revolutionize their processes. Through three strategic stages, starting with data collection and process enhancement, transitioning to scoring and validation with machine learning, and culminating in the pursuit of automation and enhanced accuracy, we successfully overhauled their quality control system. The transformative Part Check solution not only led to significant efficiency gains, reducing time and effort in quality assurance, but also minimized human error, enabled continuous improvement, and provided a flexible implementation for a future-proof quality assurance system exceeding business expectations.

Business Problem

Our client, a leading manufacturing company producing a high volume of parts, faced a critical challenge in quality assurance. The existing process involved manual inspection by human operators, leading to inefficiencies, time-consuming procedures, and the potential for human error. Parts were categorized as “good”, “bad”, or “in-need of adjustments”, requiring a more streamlined and accurate approach to meet quality standards.

Approach

We embarked on a transformative journey with the client, breaking down the project into three strategic stages:

Stage 1: Data Collection and Process Support

In the project’s initial phase, a custom application was developed to improve the quality control process. Parts were redirected to a dedicated photo station, replacing labor-intensive manual inspections. Human operators transitioned to screens, categorizing parts through image analysis to emulate the desired behavior for the future machine learning model. The primary emphasis was on meticulous data collection to effectively train the machine learning model.

Stage 2: Scoring and Validation

Building on the collected data from the first stage , Stage 2 introduced scoring mechanisms by dispatching images to the machine learning model. Human operators cross-verified their categorizations with the model’s outcomes, enhancing accuracy. Confidence thresholds were introduced to quantify the model’s reliability. This human-in-the-loop approach facilitated ongoing data refinement and ensured continuous improvement.

Stage 3: Automation and Enhanced Accuracy

The project culminated in Stage 3, aiming for a balanced fusion of human intervention and machine autonomy. Confidence thresholds were strategically set, determining when to rely on the machine learning model and when human validation was needed. This phase marked the transition towards full automation, where high-confidence results enabled autonomous processes, while lower-confidence outcomes triggered human validation. The goal was to create a future-proof, highly efficient quality assurance system exceeding business expectations.

Benefits and Results

Part Check demonstrates a successful integration of custom software leveraging artificial intelligence and machine learning, by utilizing the power of a phased approach to achieve efficiency, accuracy, and autonomy in manufacturing quality assurance processes.

Efficiency Gains

Part Check significantly reduces  the time and effort required for quality assurance, accelerating the manufacturing process.

Reduced Human Error

The accuracy of part categorization was improved with the use of AI, minimizing the risk of human error in quality assessments.

Continuous Improvement

The approach of involving human validation in stage 2 allows for ongoing refinement of the machine learning model, ensuring that it continues to adapt to evolving production conditions.

Flexible Implementation

Part check offers flexibility, allowing a gradual transition from human-led validation to full automation, depending on the confidence levels achieved by the machine learning model.

Self-service sign up

In the past, companies looking to purchase the uMap™ tool had to talk to the BU sales team. Now, companies ready to use this powerful tool can purchase the uMap™ tool online. The software walks the purchasers through an easy onboarding process to get them from purchase to up-and-running in very little time!

Create a unique uMap™

Creating a uMap™ is simple, yet very informative and inspiring. Each employee is guided through a series of questions that tap into both their professional and personal self.

Thrive365™

The uMap™ software comes complete with features allowing managers to complete a review process using each employee’s unique uMap™. 

Gain insight through reports

When employees fill out a uMap™ there is a lot of information that could be very beneficial to their company. What training do their employees need? Who are the influencers in the organization? 

Great projects start with a great conversation.