Whether we are prepared or not, we are now entering the fifth industrial revolution or Industry 5.0, an evolve industrial environment where people work with smart machines. Smart machine refers to devices that are embedded with cognitive technologies such as artificial intelligence (AI) and machine learning (ML). In the recent years, generative AI is among

What are the differences between autonomic system and autonomous system? The advancement of technology introduces various innovation including new inventions, techniques and practices. These innovations came with many new terms that may represent similar concepts, adaptation as well as a more advanced implementation of the existing model or invention. Autonomic system and autonomous system are

Customer demands had driven the IT industry towards the rise of adoption of DevOps approach in software engineering. DevOps adoption undeniably offers various key business values such as shorter time to market, cost efficient, higher stability and much more. However, DevOps approach has little effects in term of site reliability and performance, thus as a

What is site reliability engineering (SRE) and its principles? When Agile and DevOps approach become more established in software engineering, there are various loopholes of software engineers in IT infrastructures and application resilience needed to be filled. This is where SRE came into the picture. Introduction to Site Reliability Engineering (SRE) SRE is neither an

Many business operations had been affected since the outbreak of COVID-19. Organisation has to embrace various methods and alternatives in order to sustain their businesses. The methods also include leveraging their assets and reducing cost. Predictive maintenance can be viewed as one of the way out as it offers benefits such as increase in return

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

The manufacturing industry had always evolved as the technology evolved. Today, the industry is no longer in the era of automation based on human inputs but has leap forward to cyber physical system. This transformation is known as Industry 4.0 where everything is about data. There are many buzzwords that appear alongside the introduction of

Maintenance is often considered by the management as just another expense which is associated to the failure in operational technology and devices. However, in the recent years, the management had realised the importance of maintenance as it contributes various added values to business processes such as preservation of assets, reduction of cost through optimising maintenance

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

Smart factory refers to a factory that integrates physical production processes and operations with digital technology, smart computing, artificial intelligence and big data. It offers promising effects on production and manufacturing such as improve productivity, reduce cost, reduce downtime and minimize waste. Additionally, it is labelled as the ‘factory of future’ because it carries characteristics

The advancement of technology such as the internet of things (IoT), machine learning and artificial intelligence with the addition of manufacturing demands had become the main catalysts of the evolution of the manufacturing world into industry 4.0. More and more manufacturing firms are started to embrace smart factory, a concept of industry 4.0 where everything

The coronavirus has introduced unexpected complications for manufacturing sectors. Take away those manufacturing COVID-19 essential items that are growing, how the rest are acting on COVID-19 in the next-normal. In general across global, the lockdown makes online shopping and home delivery sector growth, while physical retail is declining. For those who are manufacturing and supplying

Cognitive Predictive Maintenance (CPdM) in the systems of the organization is not new right now and it gives a big impact on the systems especially for manufacturing Industrial.  So The age of smart manufacturing is here, aided by digital innovations such as the Internet of Things (IoT), artificial intelligence (AI), data analytics, machine learning (ML)

Introduce Of Cognitive Predictive Maintenance (CPdM) in the systems of the organization is not new right now. So what is cognitive predictive maintenance? Cognitive Predictive Maintenance (CPdM) is synonymous with prescriptive maintenance, where computer programs recommend responses to emergent operational deficiencies in order to prevent them from snowballing into full-blown failures. These recommendations are based

ERP solutions for the food and beverage industry can help companies respond to shifting consumer demands and take advantage of new technologies.Enterprise resource planning (ERP) software has long driven innovation in the food and beverage industry. As food ERP solutions continue to leverage new technologies and innovations.While generic ERPs have a broad range of functions

What is Supervisory control and data acquisition (SCADA)? SCADA systems are essential for industrial organizations as they help maintain efficiency, process data for smarter results, and communicate system issues to help reduce time. The SCADA system includes hardware and software components. Hardware collects and consumes data into computers that have SCADA software installed. The computer

The Industrial Control System (ICS) is a general term used to describe hardware and software integrations with network connections to support critical infrastructure. ICS technologies include, but are not limited to, control and data acquisition controls (SCADA) and distributed control systems (DCSs), automated systems and control systems (IACSs), programmable logic controllers (PLCs), programmable automation controls

The understanding Industrial Control System(ICS) basic term is used for any distributed control system (DCS), programmable logic controller (PLC), supervision and data acquisition (SCADA) or automation systems used in industrial environments critical infrastructure. ICS security is designed to protect the system from any interruption whether intentionally or unintentionally, which may lead to undesirable ICS operations.

The distributed control system (DCS) is a specially designed automated control system consisting of geographical control elements distributed in the plant or control area. It differs from a centralized control system where a central controller controls the control function, but in DCS each element or process machine or machine group is controlled by a specific

Industrial Control System (ICS)/SCADA System is widely adopted in manufacturing, energy and utilities, chemical and petroleum industries for mission critical industrial automation. For quick key term definition. Operational Technology (OT) refers to computing systems that are used to manage industrial operations as opposed to administrative operations. Operational systems include production line management, mining operations control,