By Eric Binning, Sr. Enterprise Software Solution Consultant, Rockwell Automation
With the increasing drive to reshore manufacturing operations back to the United States, automation is viewed as a crucial enabler for making domestic production economically viable against offshore alternatives. However, according to Forrester's 2024 Smart Manufacturing Predictions report, implementing software and hardware automation to boost competitiveness in reshored facilities has proven more challenging than expected.
According to the report, one critical factor contributing to this challenge is the difficulty manufacturers face in identifying processes well-suited for automation. The first step is to identify the right processes to automate, but it's often easier said than done.
As reshoring gains momentum, optimizing automation will be critical for securing a competitive position in the domestic manufacturing landscape. Manufacturers can overcome the specific challenges in identifying and adapting processes for automation by aligning their automation initiatives with broader business strategies.
Navigating the Complexities of Automation
Manufacturers face several obstacles when identifying areas for automation. These complexities can make it challenging to determine which aspects can be automated without sacrificing quality or flexibility. Consider these examples:
- Stringent Regulatory Guidelines. In the pharmaceutical industry, for instance, manufacturing processes must adhere to stringent regulatory guidelines to ensure product safety and efficacy. Automating such processes requires a nuanced approach to preserve compliance while still benefiting from automation.
- Customer Demands. Similarly, in industries such as automotive and food and beverage manufacturing, where customer preferences play a pivotal role, processes often involve a high degree of variability and customization. Automating these processes without sacrificing the ability to cater to diverse customer demands can be challenging.
- Proprietary Processes or Legacy Equipment. Another challenge arises when processes have been developed in a nonstandard manner because of existing systems and equipment. These processes often rely on manual intervention or inconsistent data, making them harder to automate.