Five questions a manufacturing leader would ask before starting an AI adoption project.
Because the research shows the biggest predictor of success isn't the tool, it's whether your workforce already has the digital skills to use it. Buying AI without addressing that gap usually stalls at the pilot stage.
Peer-reviewed journals. They go through formal review, so the methods and findings can be verified. Professional organizations are a strong secondary source; online forums should only ever be a supplement.
It depends on your focus. IISE is the broadest fit for industrial and systems engineering generally, ASQ is best if quality and certifications (like Green Belt) are your priority, and INFORMS fits analytics and operations research work.
Only partly. Research on 655 manufacturers found that once you account for digital skills, company size matters less than expected. A smaller company with the right technical skills can still adopt AI effectively.
Cost. Most studies, including the one this site draws from, don't directly measure the financial cost of adoption or how much management buy-in matters, both of which are real gaps if you're building a business case.