CIMdata’s Closed-Loop Quality (CLQ) Tool

Get specific recommendations on capabilities that will help you meet your quality management initiatives. <div class="row"> <div class="col-sm-5 col-md-5 col-xs-6"> <img alt="CIMdata_Logo_white" style="height: 50px; width: auto; object-fit: cover; margin-top: 2rem;" src="/-/media/Images/old-image-folders/Logos/Customer-Logos/cim-data-logo-main2.svg" /> </div></div>

Instructions for Users:

This tool presents you with six (6) quality related issues and asks you to identify the level of improvement your company is hoping to realize by using PLM for closed-loop quality (CLQ) – high, medium or low.

As you progress throughout the tool, you will receive abbreviated recommendations on where to get started in addressing that specific issue. At the end of the experience, you will have the opportunity to download a personalized report containing more robust and detailed recommendations from CIMdata on the capabilities your organization should implement – or areas you should focus on – to best achieve your quality improvement goals.

Get Started
Question of Low ( 1% - 30% ) Medium ( 31% - 65% ) High ( 66% - 100% ) Scrap and Rework: At what level would you like to reduce costs due to poor designs reaching manufacturing, faulty components, and/or process related errors? clq-scrap-and-rework-280x400

You indicated that you have low expectations for reducing scrap and rework. CIMdata’s abbreviated recommendation is to further reduce scrap and rework by standardizing product development, embracing document management best practices, and implementing an ISO 9001 quality governance process. You can also use a standard closed-loop CAPA process and provide R&D with real-time visibility into product performance and design issues.

You indicated that you have medium expectations for reducing scrap and rework. CIMdata’s abbreviated recommendation is to look at CLQ to automate quality processes and incorporate predictive quality, risk and reliability into engineering. Identify and predict potential product failures and impacts and make real-world failures in manufacturing and the field immediately visible.

You indicated that you have high expectations for reducing scrap and rework. CIMdata’s abbreviated recommendation is to embed core product development and quality management processes in one system, define your product requirements electronically, and perform risk and reliability analysis. Then create validation tests and Critical Quality Characteristics, monitor product performance, and identify improvements and corrective actions. Field Rejections, Returns, and/or Allowances: At what level would you like to reduce costs that occur due to delivery of poor-quality products to customers, resulting in product returns and/or in-field fixes? clq-field-rejections-280x400

You indicated that you have low expectations for reducing product returns and/or in-field fixes. CIMdata’s abbreviated recommendation is to assure post-manufacturing data is brought back to the product design organization by automatically recording changes and issues that arise in manufacturing and the field. Capture both as-built and as-maintained BOMs in your PLM environment, and Implement FMEA and Failure Reporting, Analysis and Corrective Action System (FRACAS) capabilities.

You indicated that you have medium expectations for reducing product returns and/or in-field fixes. CIMdata’s abbreviated recommendation is to improve the quality of information flow to and from manufacturing by integrating comprehensive change management across product development and manufacturing. Assure complete BOMs, enable BOM variations to be easily transmitted, and provide manufacturing engineers with an early view into product design, along with supplier access to product definitions and quality processes.

You indicated that you have high expectations for reducing product returns and/or in-field fixes. CIMdata’s abbreviated recommendation is to improve your product lifecycle management environment by controlling product design data, and granting manufacturing personnel direct, online access to all design data. You can also enable all manufacturing and field errors to be reported, and take measures to anticipate and mitigate failures before production.

Regulatory Approval Time, Time to Audit Response: At what level would you like to decrease the cost and amount of time it takes to gain regulatory approval and/or submit a response to an audit of your products and industry? clq-regulatory-approval-time-280x400

You indicated that you have low expectations for decreasing the cost and amount of time it takes to gain regulatory approval and/or submit a response to an audit. At this level, CIMdata’s abbreviated recommendation is that you use PLM to manage regulatory conformance documents and link them directly to data sources that help maintain data in reports. Automatically link to and update governing regulations and make them available online, while linking regulations to product data and processes, and requirements to regulations, product elements and product testing.

You indicated that you have medium expectations for decreasing the cost and amount of time it takes to gain regulatory approval and/or submit a response to an audit. CIMdata’s abbreviated recommendation is to consider linking product requirements to conformance reports, automatically downloading the newest governing regulations, and making regulation documents available online.

You indicated that you have high expectations for decreasing the cost and amount of time it takes to gain regulatory approval and/or submit a response to an audit. CIMdata’s abbreviated recommendation is to use CLQ to manage conformance documents and link them directly to data sources that help maintain data in reports. Create and track nonconformance reports and link them to product design data and items, or manufacturing processes, and manage product data in a common repository.

Errors in Manufacturing: At what level would you like to reduce errors due to the delivery of poorly designed or low-quality products to manufacturing, or due to changes that are not completely resolved before product definitions are delivered to manufacturing.? clq-errors-in-manufacturing-280x400

You indicated that you have low expectations for reducing manufacturing errors. CIMdata’s abbreviated recommendation is that you enable cross-functional collaboration to create a product development team enabled by a common data repository and common processes. Connect manufacturing information with the PLM environment, enable non-conformances to be created directly from the factory floor, and allow suppliers to directly see appropriate data in your PLM and quality systems.

You indicated that you have medium expectations for reducing manufacturing errors. Given that, CIMdata’s abbreviated recommendation is that you ensure communication between manufacturing and engineering happens earlier and is bi-directional by automating connections between manufacturing solutions, and enabling data sharing in a controlled setting. In addition, allow supplier information to be brought into internal systems, and facilitate the creation of accurate and complete problem/issue reports. You can also measure/reduce the amount of rework, engineering change follow-up documentation, re-engineering work after design freeze, and resources needed to finish development projects.

You indicated that you have high expectations for reducing manufacturing errors. At this level, CIMdata’s abbreviated recommendation is that you provide cross-functional teams with easy access to real-time product data, implement a proper change management process, and promote closed-loop change approval and design approval processes. Measure/reduce the amount of rework, engineering change follow-up documentation, re-engineering work after design freeze, and resources needed to finish development projects.

First Sample Approval in Manufacturing: At what level would you like to reduce the cost of not achieving first sample approval for production? clq-first-sample-approvalx280x400

You indicated you have low expectations for reducing the cost of not achieving first sample approval for production. Based on this, CIMdata’s abbreviated recommendation is that you ensure bi-directional data transfers and processes between manufacturing and product engineering, and enable a strong change management and approval process after production release. Also involve manufacturing engineering from the start of the product design process.

You indicated you have medium expectations for reducing the cost of not achieving first sample approval for production. CIMdata’s abbreviated recommendation is to improve integration, connectivity, and visibility of product information by automating data movement from product engineering to manufacturing systems as much as is practical. You can also use IIoT capabilities to track early manufacturing issues and allow exploration of root causes.

You indicated you have high expectations for reducing the cost of not achieving first sample approval for production. At this level, CIMdata’s abbreviated recommendation is to improve your first-time sample approval yield by using a PLM workflow to support the processes used to move information bi-directionally between design and manufacturing. You can also automate as much data sharing as possible, automate change management enterprise-wide, and assure required reviews and approvals occur before production.

Design Errors: At what level are you looking to reduce the cost and number of design errors that impact new products. clq-design-errors-280x400

You indicated you have low expectations for reducing the cost and number of design errors. CIMdata’s abbreviated recommendation for further reducing the cost and number of design errors is to create both fast- and normal-track change workflows, link requirements to design elements, and place requirements under change control and approval. You can also link requirements to testing and assure that issues found in products in the field are resolved in product designs.

You indicated you have medium expectations for reducing the cost and number of design errors. CIMdata’s abbreviated recommendation is to address requirements and changes that arise during the design cycle, manage and validate requirements in the PLM environment as part of the product record, close the loop on change management, and implement configuration management.

You indicated you have high expectations for reducing the cost and number of design errors. CIMdata’s abbreviated recommendation is to reduce design errors by managing design data and processes in PLM, creating and managing formal change processes in PLM workflows, and linking product data to simulation, analysis, and physical testing.

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