May 16, 2020

Boeing overtakes GE as the biggest US manufacturer

GE
General Electric
Boeing
Manufacturing
Jonathan Dyble
1 min
Boeing
The Financial Times has revealed that Aerospace manufacturer Boeing has overtaken General Electric (GE) as the largest US manufacturer by market capital...

The Financial Times has revealed that Aerospace manufacturer Boeing has overtaken General Electric (GE) as the largest US manufacturer by market capitalisation.

As of Tuesday, Boeing recorded a market cap of $155.9bn, $700mn above GE’s $155.2bn, marking the first time that GE has lost its title as the largest US manufacturer since 1980.

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This is largely owed to a recent announcement made by the firm’s Chief Executive John Flannery that it would be streamlining its operations and cutting its dividends by 50%, resulting in a 13% drop in the company’s share price.

“We understand the importance of this decision to our shareowners and we have not made it lightly,” Flannery said. “We are focused on driving total shareholder return and believe this is the right decision to align our dividend pay-out to cash flow generation.”

This will see GE largely focusing on its three key operations of aviation, healthcare and power, whilst selling off the majority of its other operations in an attempt to rescue its financial position, having been in continual decline.

Over the past decade, GE’s share price has fallen 53%, whilst Boeing’s has risen 168%.

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May 12, 2021

Gartner: Leaders Lack Skilled Smart Manufacturing Workers

SmartManufacturing
DigitalTransformation
DigitalFactory
ConnectedFactory
2 min
57% of manufacturing leaders feel that their organisations lack the skilled workers needed to support smart manufacturing digitalisation

With organisations rapidly adopting industry 4.0 capabilities to increase productivity, efficiency, transparency, and quality as well as reduce cost, manufacturers “are under pressure to bring their workforce into the 21st century,” says Gartner.

While more connected factory workers are leveraging digital tools and data management techniques to improve decision accuracy, increase knowledge and lessen variability, 57% of manufacturing leaders feel that their organisations lack the skilled workers needed to support their smart manufacturing digitalisation plans.

“Our survey revealed that manufacturers are currently going through a difficult phase in their digitisation journey toward smart manufacturing,” said Simon Jacobson, Vice President analyst, Gartner Supply Chain practice.

“They accept that changing from a break-fix mentality and culture to a data-driven workforce is a must. However, intuition, efficiency and engagement cannot be sacrificed. New workers might be tech-savvy but lack access to best practices and know-how — and tenured workers might have the knowledge, but not the digital skills. A truly connected factory worker in a smart manufacturing environment needs both.”

Change Management

Surveying 439 respondents from North America, Western Europe and APAC, Gartner found that “organisational complexity, integration and process reengineering are the most prevalent challenges for executing smart manufacturing initiatives.” Combined they represent “the largest change management obstacle [for manufacturers],” adds Gartner.

“It’s interesting to see that leadership commitment is frequently cited as not being a challenge. Across all respondents, 83% agree that their leadership understands and accepts the need to invest in smart manufacturing. However, it does not reflect whether or not the majority of leaders understand the magnitude of change in front of them – regarding technology, as well as talent,” added Jacobson.

Technology and People

While the value and opportunities smart manufacturing can provide an organisation is being recognised, introducing technology alone isn’t enough. Gartner emphasises the importance of evolving factory workers alongside the technology, ensuring that they are on board in order for the change to be successful.

“The most immediate action is for organisations to realize that this is more than digitisation. It requires synchronising activities for capability building, capability enablement and empowering people. Taking a ‘how to improve a day in the life’ approach will increase engagement, continuous learning and ultimately foster a pull-based approach that will attract tenured workers. They are the best points of contact to identify the best starting points for automation and the required data and digital tools for better decision-making,” said Jacobson.

Long term, “it is important to establish a data-driven culture in manufacturing operations that is rooted in governance and training - without stifling employee creativity and ingenuity,” concluded Gartner.

Discover Gartner's Five Best Practices for Post COVID-19 Innovation' in manufacturing.

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