In the dynamic life of planet earth, each year new things happen and change. Before we forget the year for the lesson, below is something worth to cite before the end of the year. Coexist with Covid-19. With China changing the policy from dynamic zero-day to co-exist, the world now is one planet to coexist
As the world is transitioning to the fourth industrial revolution (4IR), with the help of emerging technologies, from artificial intelligence and robotics, factories have become smart factories, with the capability to micro precision production of small quantities of a variety of products and models to match the demand and supply report forecast. That helps to
Typically we will see more acquisitions in the quarter 1, as quarter 4 as a time for most of the acquisitions to take place, like a company miss on their revenue and reflect in the public trading stock price. Along the history and across the different sectors/industry, make business small (such as combining two companies)
Let’s get real, whether the specific country polishes their unemployment into whatever categories for those who stay out of the labour, seal under the resignations or force to make that choice. From the US, Germany, Japan all see the same trends and the rest follow globally. Obviously COVID-19 pandemic force hotels and accommodations industries the
Next normal continue to have jobs that shortage to be fill, it out of everyone surprise, almost 2 years of COVID-19 pandemic, most of the business that required to rightsizing or close down, as expect is should reach the recovery and reset, but it remain lot of the job to be fill that remain shortage
One of the key elements in Industry 4.0 is Predictive Maintenance (PdM). Beside the rational and benefits we explored in all the previous, today we look at prediction at scale and see how smart factories get more value out of the predictive maintenance and explore deep into the topic what it is all about establishing
Unplanned downtime holds the top position as the most concerning problem in the manufacturing industry. Downtime in manufacturing is often related to machine failure, production failure and unplanned stop. The impact of downtime in manufacturing can be serious and lead to loss in manufacturing process and production. Over the years, manufacturers had always tried to
The shift from traditional factory to smart factory had triggered the adoption of predictive maintenance in many organisation as their maintenance strategy approach. If you are the decision maker in your organisation, what will your decision be? When stumbled upon an option with significant impacts on future operations, trends or lifestyles, the best practice is
Smart factory refers to a factory with digitalised environment where machines and devices have the ability to improve process through automation and self-optimisation. It is one of the key component for Industry 4.0, every country is attempt to mobilizing national resources to transited over. Due to globalisation and continuous changing market competition based on customer demands,
Today, the manufacturing industries revolve around customers’ satisfaction and demands as a key indication to successful production. This competitive environment lead to a conclusion by many factories in embracing smart factory as a solution. As the term indicates, smart factory applies digitilisation and automation where machines are connected to smart devices such as internet of
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