Huawei’s European factory to boost supply chain efficiency

Huawei's European factory to boost supply chain efficiency

The China-based tech giants, Huawei, is set to build a factory in France to produce 4G and 5G wireless equipment to accelerate supply chain efficiency.

According to analysts, the new facility will allow Huawei easier access to its telecommunications carriers in Europe, while also easing concerns over alleged spying for China’s government.

Stéphane Téral, executive director of telecommunications research at IHS Markit, commented: “At this stage of the mobile industry, it is critical for Huawei to have a radio communications factory somewhere in Europe to relieve the pressure on the existing ones in China. “We clearly see firsthand the disruption the coronavirus crisis is creating.”

It is expected that the factory will produce €1bn worth of products annually, while also creating 500 jobs.

It is thought that the company chose France due to the country’s ideal geographic position, mature industrial infrastructure as well as its highly educated talent pool. Peter Liu, vice-president analyst at Gartner, said: “The European facility will improve Huawei’s efficiency because the company will be able to integrate itself into the supply chain in Europe.”

The news follows Huawei’s launch of its 5G Innovation and Experience Centre in London which encourages increased collaboration between businesses and innovators in the development of 5G ecosystems. Victor Zhang, Vice-President of Huawei, added: “With the opening of our 5G Innovation and Experience Centre in London we, as a leader of 5G, are taking another important step. What we have opened today will enable true collaboration amongst UK businesses and technologists and showcase the huge potential of 5G applications for both the private and business sectors.”

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EU Launches Estimated €400M Blockchain, AI Fund to Avoid Lagging US, China

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A new fund has been set up with the aim of preventing the EU falling behind nations like the U.S. and China on blockchain and artificial intelligence (AI) innovation.

The European Investment Fund (EIF) and the European Commission have together put up €100 million (over $110 million) for a dedicated investment scheme that will make capital available to AI and blockchain projects via VC funds or other investors, EIF, an EU agency set up to indirectly fund SMEs, said in a blog post on Wednesday.

With the “cornerstone” funding in place, the EIF said private investors are expected to bring up to €300 million ($331 million) into the fund, while the total could rise further from next year, with national promotional banks being able to co-invest under the scheme.

Sifted reports that the fund could ultimately raise up to €2 billion ($2.2 billion) under the InvestEU Programme.

According to the post, the EU already spends plenty on blockchain (expected spending for 2019 is $674 million), but that is mostly directed toward research and proof-of-concepts.

The U.S. is the biggest spender, with a $1.1 billion expected spend, and China is second with $319 million, according to cited numbers from the International Data Corporation.

The new fund is aimed to address the fact that not so much is spent in the EU on developing “larger scale projects.

“Investing in a portfolio of innovative AI and blockchain companies will help develop a dynamic EU-wide investors community on AI and blockchain. By involving national promotional banks, we can scale up the volume of investments at a national level,” the EIF said.

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Supply Chain & Big Data ÷ Analytics = Innovation

Google the term “advanced analytics” and you get back nearly 23 million results in less than a second.

Clearly, the use of advanced analytics is one of the hottest topics in the business press these days and is certainly top of mind among supply chain managers.

Yet, not everyone is in agreement as to just what the term means or how to deploy advanced analytics to maximum advantage.

At HP, the Strategic Planning and Modeling team has been utilizing advanced operational analytics for some 30 years to solve business problems requiring innovative approaches.

Over that time, the team has developed significant supply chain innovations such as postponement and award winning approaches to product design and product portfolio management.

Based on conversations we have with colleagues, business partners and customers at HP, three questions come up regularly – all of which this article will seek to address.

  1. What is the difference between advanced and commodity analytics?
  2. How do I drive innovation with advanced analytics?
  3. How do I set up an advanced analytics team and get started using it in my supply chain?

Advanced analytics vs. commodity analytics

So, what exactly is the difference between advanced analytics and commodity analytics? According to Bill Franks, author of “Taming The Big Data Tidal Wave,” the aim of commodity analytics is “to improve over where you’d end up without any model at all, a commodity modeling process stops when something good enough is found.”

Another definition of commodity analytics is “that which can be done with commonly available tools without any specialized knowledge of data analytics.”

The vast majority of what is being done in Excel spreadsheets throughout the analytics realm is commodity analytics.

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Instagram and Pinterest are killing Gap, Abercrombie, & J. Crew

Traditional mall retailers like Gap, J. Crew, and Abercrombie & Fitch have faced declining sales in recent years.

And the problem might be signaling something even more troublesome than dowdy apparel. Instead, it is a total shift in how teen consumers think.

Young people want to purchase experiences rather than actual stuff, and when they do buy clothing or shoes they want to be able to showcase purchases on social media.

“Their entire life, if it’s not shareable, it didn’t happen,” Marcie Merriman, Generation Z expert and executive director of growth strategy and retail innovation at Ernst & Young, said to Business of Fashion. “Experiences define them much more than the products that they buy.”

The only apparel young people want is clothing that can translate into an experience on Instagram or Snapchat.

Given their limited budgets and frugal tendencies, they’re more likely to purchase lots of clothes at fast fashion retailers, like cutting-edge Zara or cheap Forever 21, so that they have ample images to share.

Read more at Instagram and Pinterest are killing Gap, Abercrombie, & J. Crew

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5 Data-Driven Supply Chain Challenges to Overcome in 2016

Supply chain, sourcing and procurement executives are feeling immense pressure to cope with the expansion into global markets, waves of disruptive innovation, rising customer expectations and complex regulatory requirements. These are catalysts that require supply chain management strategies to become bimodal and to make a shift from tactical to strategic.

In addition to the sourcing of goods and services, cost management and internal stakeholder compliance, executives’ responsibilities will include the ability to promote and support the top line. They have to be a trusted advisor to internal business partners and will have a tremendous impact on the success of an organization engaging with suppliers, managing relationships with strategic vendors and solving business problems.

For 2016, I see leading supply chain organizations making these top-five data-driven supply chain management challenges a priority.

1. Meet Rising Customer Expectations on Supply Chain Management

2. Increase Costs Efficiency in Supply Chain Management

3. Monitor and Manage Supply Chain Compliance & Risk

4. Make Supply Chain Traceability and Sustainability a Priority

5. Remain Agile and Flexible in Volatile Times and Markets

Read more at 5 Data-Driven Supply Chain Challenges to Overcome in 2016

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Why should leaders care about performance management?

Why should leaders care about performance management?

A consistent track record of sound results is the best indicator of leadership potential and capacity. Top-rated leaders are those with a history of repeated high impact results across a variety of contexts and complexities.

Consequently, performance management should be a central issue in every organisation. Sadly, in our experience, this is not so – in a significant number of cases we see leaders covering their incompetence and poor results with blame shifting.

Performance review meetings are seldom welcomed. They are widely regarded as the event about which most employees get no sleep the night before, and most leaders get no sleep the night after. We have observed many organisations in which performance management has been reduced, if not entirely relegated, to a once-a-year paper exercise for a mandatory input for annual salary reviews. We have also seen organisations where the performance appraisal is a one-sided affair in which the manager does all the talking, wanting to get one more unnecessary administrative formality out of the way as quickly as possible. Does this sound familiar?

Helping people achieve the very best results possible is a primary challenge for every leader and lies at the heart of effective performance contracting, reviews, correction and reward.

Here are five tips to improve your management of performance:

1. Reframe the purpose

2. Reframe the label

3. Reframe the timing

4. Reframe the model

5. Reframe your role

Performance is a crucial aspect in management. If you are interested in how to leverage your performance management, feel free to contact us.