The automotive and transportation industry is currently faced with numerous challenges. The advent of the Industrial IoT, the trend toward e-mobility, and new markets in China and South-East Asia are all contributing to the ever-present pressure to cut costs while increasing quality.
Manufacturers have to maintain the highest possible levels of efficiency while maximizing production . These challenges have resulted in an escalation in the number and complexity of automation processes. Demand for a wide range of models and customisation options is driving a seemingly unlimited increase in the complexity of individual fabrication processes. We provide solutions to help meet the continual stream of new quality management requirements while maintaining a clear, documented production process change history.
...including usage list and detailed comparisons.
...if desired values and parameters deviate from tolerance
...all production line equipment, including PLCs, CNCs, HMIs, robots, drives, sensors, etc.
Management of external contractors
Centralised data storage and safeguarded intellectual property and fast disaster recovery
Organisational continuity across multiple shifts
The fact that backups can not only be saved, but also compared with each other is an enormous help to us, especially during audits. The software is set up: all new projects are stored in versiondog* as standard. I see no reason as to why we would ever do without this system again.
A firefighting mentality is one where organizations are frantically rushing to solve unexpected problems, making impulsive decisions, and applying short term “band-aid” solutions to restore production as quickly as possible. Production plants are particularly susceptible to this mentality. Why? Plants are up against a wide variety of risks to productivity and product quality. Human error, equipment failure, cyber attack, and natural disaster all have the potential to cause significant downtime. When every minute of downtime can cost thousands, it is critical to resume production as quickly as possible.
Nevertheless, very few production plants are adequately prepared for worst-case scenarios or even everyday issues. A proactive approach to data management for automation could save time, money, and effort.
This white paper will discuss how better data management can transform your industrial automation for increased productivity with fewer problems. First, it will explore the causes and concerns of a reactive “firefighting” approach to maintenance in automation. Then, it will propose data management tools and best practices to help break these habits.
