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Digital Manufacturing Performance Assessment
Today’s manufacturing increasingly incorporates multiple types of automation, including physical automation/robots, AI/machine learning, IoT sensors and connected machines, and autonomous operations. Manufacturing leaders are working toward real-time data access and visibility and the capability to derive AI-based recommendations.
Complete APQC's Digital Manufacturing Open Standards Benchmarking Assessment to gain insight into how your organization’s practices and metrics compare to others.
Assess your manufacturing processes to establish a baseline for improvement and annual performance targets. Some of the metrics in this assessment include:
- Total cost of manufacturing as a percentage of revenue
- Overall Equipment Effectiveness (OEE)
- Percentage of manufacturing equipment using IoT sensors to capture and communicate data
- Percentage of plants using autonomous operations
- Percentage of plants using AI/machine learning to optimize various processes
- Percentage of plants using data from connected machines to draw insights for continuous improvement
All submissions to APQC's benchmarking database, both Open Standards Benchmarking and Rapid Performance Assessments, must be collected using APQC's easy-to-use Microsoft Excel data collection instruments. Please download a fresh copy of the assessment file by clicking the “Download Survey to Start Assessment” button.
Each benchmarking assessment offers an Excel-based data collection tool consisting of the survey itself, the measures associated with the survey, the glossary terms needed to understand the survey, and a copy of the Process Classification Framework (PCF) relevant to the data collection instrument. The consolidated data collection tool is intended to simplify the collection of benchmarking data within your organization.
How it works:
Once you have completed the data collection instrument, simply upload the file using APQC's secure file upload tool. Visit this URL to upload your file: https://zurl.co/8Rg92. If you are unable to connect to that web site, please contact the helpdesk for more information by sending an email to [email protected]. Please do not send privileged, confidential, or non-public data to APQC via email. Please contact the helpdesk on [email protected] if you have any further questions.
APQC analysts will immediately begin validation of your submission.