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Hanoi (VNA) – Vietnamese enterprises should dig into new technologies to improve product quality and brands so as to better engage in the global value chains , Minister of Industry and Trade Tran Tuan Anh has said. tate-of-the-art technologies .

Customs figures show that as of December 15, Vietnam had exported 5.3 billion USD worth of automobile parts last year, the same amount as in the previous year, and 42 billion USD worth of computers and parts, or ten-fold higher than in 2019.

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Derek Ong, Electronic Industrial Software Solutions manager, Keysight Technologies

Squeezing every last drop of productivity from invested manufacturing equipment on the factory floor was the goal, and hence a lot of focus was on downtime and throughput. Predictive maintenance and asset utilisation are important business outcomes from any successful Industry 4.0 implementation.

Then COVID-19 happened. Other than the race to 5nm chips, 5G, and cloud computing, some sectors of the electronics manufacturing industry have seen a drastic drop in volume, leading to a surplus of production assets on the floor. For some, machines have idled. For others, COVID-19 has caused massive supply chain disruptions.

The necessary steps taken by governments around the globe to manage and halt the spread of this epidemic, has restricted movement of factory employees and subsequently lowered productivity and output. The trade situation between the US and China has forced manufacturers to shuffle operations for business continuity. There are everlasting shifts in manufacturing paradigms as a result of COVID-19. The new “norm” needs a rethink on how Industry 4.0 technology enablers will be used to address the new challenges.

Quality over quantity

Before COVID-19, Industry 4.0 adoption mostly revolved around asset utilisation. In the current situation, it may be better to ensure that every single manufactured product is of the highest quality the process allows. Due to shortages of materials and parts, rising logistics costs and restricted factory employees, manufacturers will have to minimise Return Merchandise Authorizations (RMA) even more than before. Better quality may also prove to be a compelling value differentiator to win more business.

Quality has always been one of the most important manufacturing performance metrics but rather than the usual narrative of adopting Industry 4.0 technologies such as big data analytics, AI, and the Industrial Internet-of-Things (IIOT) to maximise asset utilisations, will need to pivot to adding more focus on improving the quality of the product being manufactured. Keeping machines up and running with minimal downtime gives less Return of Investment (ROI) if product recalls are happening or assets are loaded only half the time most days.

Manufacturing analytics is quickly rising to prominence

Qualitative and quantitative data on products – usually from test and measurement equipment on the floor – is an important source of insights for any big data analytics implementation. They allow engineers to maintain process parameters that yield the highest quality and they provide a real-time barometer of gross reproducibility and repeatability of equipment and processes, which is important for the predictable quality standard of the products.

This means that lower Cost-of-Poor-Quality (COPQ) is going to be something Industry 4.0 technology adoption has to address quickly.

Dangers of anomaly detection and things to look out for

Since the launch of Keysight’s PathWave Manufacturing Analytics in 2018, more manufacturers are embracing the new “normal” and using big data advanced analytics on test and measurement that are generated every second on the production floor.

A core fundamental analytics insight from the platform is being able to predict potential quality issues before they happen. The machine learning tool usually used to do this is around anomaly detection. We have seen a lot of examples of factories investing in setting up a generic big data platform and using publicly available open-source anomaly detection algorithms in production.

What is eventually evident is that these algorithms tend to be low in accuracy when dealing with test and measurement data, as opposed to continuous signals from sensors. This is what drove us to develop our own anomaly detection machine learning model at Keysight, which is tuned to provide the highest accuracy on test and measurement data from the floor.

We also identified “Alert Fatigue” in manufacturing industries that use anomaly detection as a predictor. Hundreds of thousands of measurements are taken in real-time in productionand a large number of anomalies are being alerted to operators or engineers every minute of the day. It is an impossible task for the users to decide which anomaly is most important and what are the most urgent actions to take.

Ultimately, this fatigue leads users to ignore the alerts, and the slow but sure demise of the entire advanced analytics project begins. If the right actions to prevent losses cannot be taken, then the ROI cannot be realised. This is important as, in order to make any investments in big data advanced analytics implementation in the factory worthwhile, it has to directly correlate with business outcomes.

Last year, we put together a team of data scientists and test and measurement experts in Keysight to develop an alert scoring machine learning model that works seamlessly with our anomaly detection algorithms to score measurement anomaly alerts in real-time, and we are planning the release of the new Alert Scoring feature in our upcoming PathWave Manufacturing Analytics 2.4.0 release in the spring of 2021. Alerts are labelled and sorted by the machine learning model as either high, medium, or low severity. The interpretation of the machine learning model of severity required supervised learning that Keysight’s test and measurement were able to provide.

With this first-in-industry alert scoring model, we were able to reduce the number of alerts sent to users for disposition by 90 per cent, in real-life testing. Instead of a hundred alerts, the engineer or operator will only receive ten of the most severe or important alerts.

The ability to combine domain knowledge and data science, sets companies such as Keysight, apart from generic big data platform partners, and we look forward to helping manufacturers achieve more tangible business outcomes with our 2021 roadmap.

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BIDV MetLife representatives received an AmCham CSR Recognition Award 2020

In the social distancing period of the COVID-19 pandemic last year, BIDV MetLife received a number of claims for insurance benefits under the circumstances of limited travel and difficulties in the verification process. However, with responsibility and the spirit of always putting clients’ interest first, BIDV MetLife overcame such limitations, quickly collected documents, made claim decisions, and paid for the clients’ families as soon as the paperwork had been completed.

One particular client had an accident and died in May, leaving behind their life partner and two school-aged children. BIDV MetLife had its staff quickly verify the information.

After collating the results, the company decided to pay accidental death benefit as in the contract terms with the aim to promptly help the family stablilise after the unexpected event, and ensure future education for the children.

Another client suddenly died while travelling abroad last year. The customer’s insurance contract did not specify the beneficiary – luckily, the client purchased life insurance from BIDV MetLife. After receiving the case, BIDV MetLife’s Benefit Department helped the client’s family complete the estate division agreement so that they could take advantage of the benefits as claimed in the contract.

Over the last six years, BIDV MetLife has paid almost VND36 billion ($1.56 million) in insurance benefits. In 2020 alone, BIDV MetLife successfully resolved 5,790 cases, paying around VND25.2 billion ($1.1 million).

Since its establishment in 2014, the top priority and mission that BIDV MetLife has pursued is to strive to bring the best for customers, and ensure customer service quality in any and all circumstances.

Not only focusing on taking care of and ensuring customer benefits, since entering the Vietnamese market BIDV MetLife has utilised corporate social responsibility (CSR) programmes to contribute to the community’s sustainable development and ensure social security in places where the company operates.

General director of BIDV MetLife Gaurav Sharma shared, “The employees, clients, partners, and the community are our top priorities. We pursue the goal of “always with you, building a more confident future”, and turn this goal into a foundation to build a better and more humane future. Therefore, we always do our best to ensure that customers benefit as well as aiming at sustainable social activities, contributing to creating positive change for Vietnamese people.”

BIDV MetLife has coordinated with BIDV branches in various provinces to jointly implement initiatives for the community such as awarding scholarships, gifting bicycles to underprivileged students who had made great efforts to achieve excellent academic, presenting new facilities for schools, and much more.

As a joint venture between MetLife Co., Ltd. (belonging to MetLife, the US’ leading life insurance corporation with 150 years of operation) and leading Vietnamese lender BIDV, BIDV MetLife participates in various CSR activities in the country with the budget mainly stemming from MetLife Foundation.

Since 2017, the Foundation in collaboration with partners including Trick up, Plan International, Habitat for Humanity, CEP, Room to Read, and the Special Olympics have supported $5 million through 10 initiatives and projects related to comprehensive finance.

Responsible to the utmost, BIDV MetLife has been honoured with a Corporate Excellence Award by Enterprise Asia – the leading non-governmental organisation on the continent in entrepreneurship – for pursuing the mission of providing the best service to customers, even in tough times like the current pandemic.

In addition to that, BIDV MetLife won the American Chamber of Commerce in Vietnam CSR Recognition Award 2020 in Hanoi last December. This was the fourth consecutive time that BIDV MetLife was bestowed the honour.

Hai Duong (VNA) – The northern province of Hai Duong, the country’s current largest hotspot of COVID-19, plans to conduct large-scale testing for the novel coronavirus, using Realtime-PCR technology, from February 24.

The move aims to measure the spread of COVID-19 in the province to help it respond better to the disease while identifying safe areas to boost economic recovery.

People targeted by the testing are divided into three groups: the high-risk group who are people from Chi Linh and Hai Duong cities, and Kim Thanh and Cam Giang districts; the medium-risk including people from the districts of Kinh Mon, Nam Sach and Binh Giang; and the low-risk comprising those from Ninh Giang, Thanh Ha, Tu Ky, Gia Loc and Thanh Mien.

Hai Duong now has six labs for COVID-19 testing using Realtime-PCR, located in the provincial Centre for Disease Control, General Hospital, Hospital for Tropical Diseases, Children’s Hospital, Tuberculosis and Lung Disease Hospital, and the Hospital of Hai Duong Medical Technical University.

The province is now capable of collecting 50,000 to 60,000 samples and processing as much as 8,500 individual test samples on a daily basis. The results normally come out after 24 hours.

Hai Duong recorded 625 cases of COVID-19 as of 16:00 on February 23, making it the hardest hit by the pandemic in the country to date./.

VNA