Welcome!

News Feed Item

BMW Group Expands its Commitment in the USA

Commits US $1 Billion investment by 2016; Extends X family with new BMW X7; Increases plant capacity 50% up to 450,000 vehicles; Creates 800 new jobs; Starts production of the new BMW X4; Celebrates 20 years of production in the USA

SPARTANBURG, S.C., March 28, 2014 /PRNewswire/ -- Celebrating 20 years of production in the USA, Dr. Norbert Reithofer, Chairman of the Board of Management, BMW Group, today announced plans to invest US$ 1 billion in the company's South Carolina plant: "We will expand the plant's annual production capacity by 50% up to 450,000 vehicles by the end of 2016. Today's capacity is around 300,000 vehicles. This investment will also create an additional 800 jobs, increasing the total workforce to 8,800 on site."

At the event held at the plant, Dr. Reithofer was joined by U.S. Secretary of Commerce, Penny Pritzker; South Carolina Governor, Nikki Haley; BMW Group Board member for Production, Harald Kruger; and President of BMW Manufacturing, Plant Spartanburg, Manfred Erlacher.

BMW X7 to be built at Plant Spartanburg

The additional investment will be used to increase capacity, which is necessary to meet strong global demand for BMW X models. "Plant Spartanburg was built to enhance and expand the BMW line-up, underscoring the BMW Group commitment to the United States," said Dr. Norbert Reithofer. "In addition to the X3, X5, X6, and the new X4, we are today announcing another all-new, larger X model to be manufactured exclusively at this plant for our world markets: the X7." 

Harald Kruger, Board of Management member for Production explained the important role of the US for the BMW Group production strategy: "The BMW Group strives for a good balance of growth among all markets and continents. The Spartanburg plant is an important building block in our international network of 28 production and assembly facilities in 13 countries today and makes a vital contribution to profitable, globally-balanced growth."

He continued: "Our US plant is the best example of our successful strategy of 'production follows the market'. The state of South Carolina has supported us as a valuable and reliable partner throughout our 20-year involvement in the region – making the United States our second home."

BMW Group in Spartanburg: largest U.S. automobile exporter

Norbert Reithofer: "We are expanding BMW Plant Spartanburg as our center of competence for production of BMW X models and broadening our product portfolio. This expansion means Spartanburg will have the largest production capacity of any plant in our global production network. This plant already exports, on average, 70% of its annual production with a 2013 value of more than US$ 7.5 billion which, according to the U.S. Department of Commerce, makes BMW the largest U.S. vehicle exporter to non-NAFTA countries."

Since production began 20 years ago, in 1994, the Spartanburg plant has produced over 2.6 million vehicles for BMW customers around the world. Currently the BMW X3, X5, X5 M, X6 and X6 M are all produced at the plant. The event also celebrated the start of production of the all-new BMW X4. In the near future, a plug-in hybrid version of the BMW X5 will also be produced here.

BMW Group economic impact on South Carolina

In addition to its large-scale capital investments, a new study just released by the Moore School of Business at the University of South Carolina, reports that the BMW Group has a US$ 16.6 billion annual impact on the state economy. Its presence in South Carolina supports more than 30,000 jobs throughout the state.

The study found that for every job created at the BMW plant, an additional three jobs are created elsewhere in South Carolina through the economic multiplier effect.

"This is the fifth expansion since production began 20 years ago and represents another major investment," said Manfred Erlacher, President and CEO of BMW Manufacturing. "The increase in annual capacity, the number of models produced, and the number of jobs on site, reinforce the major role BMW is playing in the region's economic vitality through technological innovation, environmental stewardship, and development of a highly skilled workforce."

In 2013, a total of 297,326 vehicles were manufactured in Spartanburg, with 1,100 vehicles currently produced per working day. Total employment at the site reached 8,000 in March 2014.

BMW Group In America

BMW of North America, LLC has been present in the United States since 1975.  Rolls-Royce Motor Cars NA, LLC began distributing vehicles in 2003.  The BMW Group in the United States has grown to include marketing, sales, and financial service organizations for the BMW brand of motor vehicles, including motorcycles, the MINI brand, and the Rolls-Royce brand of Motor Cars; DesignworksUSA, a strategic design consultancy in California; a technology office in Silicon Valley and various other operations throughout the country.  BMW Manufacturing Co., LLC in South Carolina is part of BMW Group's global manufacturing network and is the exclusive manufacturing plant for all X5 and X3 Sports Activity Vehicles and X6 Sports Activity Coupes.  The BMW Group sales organization is represented in the U.S. through networks of 339 BMW passenger car and BMW Sports Activity Vehicle centers, 139 BMW motorcycle retailers, 119 MINI passenger car dealers, and 35 Rolls-Royce Motor Car dealers.  BMW (US) Holding Corp., the BMW Group's sales headquarters for North America, is located in Woodcliff Lake, New Jersey.

 

SOURCE BMW of North America, LLC

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.