Smart Factory is Not Enough
I’ve talked to manufacturing companies and typically they are facing chronic problems, meaning their decisions and initiatives are not solving the root cause problem and ironically it becomes infinite loop of unproductive process. For instance, food manufacturer in Majalengka encountered 50% production loss worth $ 74,000 every week and that was mind blowing.
Manufacturing companies create massive amount of data but sometimes they are too overwhelmed to figuring out what’s really behind daily problems using inappropriate data that leads to poor decision-making. One of equipment manufacturer in Cikarang told me how they gather their production insights by accumulating all the production performance in a paper-based work and review their overall performance monthly. The question is how do you survive if you make initiatives based on obsolete issues in such fast-pace environment?
Mayer –Schönberger in his book, big data: a revolution that will transform how we live, work, and think; said that data was no longer regarded as static or stale, whose usefulness was finished once the purpose for which it was achieved. Rather, data became a raw material of business, a vital economic input, used to create a new form of economic value. In fact, with the right mindset, data can be cleverly reused to become a fountain of innovation and new services. The data can reveal secrets to those with the humility, the willingness, and the tools to listen.
Integrating insightful analytics together with the right method in acquiring data will create added value to boost productivity and increase efficiency within industry. However, is it enough to have connected devices and advance analytics especially in labor-intensive environment? In Indonesia digital transformation can be daunting and manufacturing companies that I’ve asked are aware that being digital would raise efficiency and reduce cost, but they don’t know how.
Optimal productivity, according to PQM Consultant, can be achieved through technology advancement, tools for continuous improvement, and the most important thing, people. Implementing Industrial Internet of Things (IIoT) in Indonesia isn’t merely about how advance your technology can provide, but how you solve simple problem that matter the most and how you engage human emotionally. It is people that need to be empowered, not to be replaced. It is people that have to be touch to embrace industrial revolution 4.0, not technology alone.
That’s why I, alongside my co-founders, founded Machine Vision.