Tag Archives: Product lifecycle management

Updates from Siemens

Electrolux implements worldwide 3D factory and material flow planning
Siemens – Based in Stockholm, Sweden, Electrolux AB sells appliances for household and commer­cial use in 150 countries around the world. With around 58,000 employees and 46 pro­duction sites, the company develops and manufactures products of numerous brands: in addition to Electrolux, the top brands Grand Cuisine, AEG, Zanussi, Frigidaire and Westinghouse enjoy a particularly high reputation.

In 1996, the German AEG brand was acquired from Daimler Benz, together with several divi­sions and locations of the group. This is how the factory in Rothenburg ob der Tauber, founded in 1964, came to Electrolux, which today produces 600,000 stoves and 1,400,000 cooking ranges per year for the European market.

We attach great impor­tance to implementing in detail the essential product characteristics of each brand in development and production,” reports Bernd Ebert, director of Global Manufacturing Engineering − Food Preparation at Electrolux. Based in Rothenburg, Ebert ensures that all Electrolux cooking appliance factories imple­ment uniform processes and systems.

As part of a comprehensive digitalization strategy covering all areas, 11 digital manu­facturing projects are on the agenda of the Swedish global corporation. Ebert has assumed responsibility for two global proj­ects with the highest priority. They aim to create “digital twins” of all manufacturing sites: In the virtual manufacturing project, an advanced planning tool was selected and introduced for early design verification to develop products that are production- and assembly-friendly. For example, assembly sequences and movements will be planned and optimized three-dimensionally to pre­vent collisions. The prerequisite for this is the development of three-dimensional fac­tory layouts, which is the focus of the sec­ond project, 3D factory layout. The layouts will be created using a standard factory planning tool that can simulate both the plant and the material flow on the basis of 2D data in order to optimize capacity and efficiency.

Software selection began in 2014, when only a few had powerful software for 3D factory planning. A small, specialist team led by Ebert worked closely with the company’s IT department in Stockholm. Starting in 2015, Teamcenter from Siemens PLM Software was deployed there as a strategi­cally important product development plat­form for product lifecycle management (PLM) at Electrolux.

Discussions about Siemens’ future strategy led to an offer to test a pre-release version of the 3D layout software Line Designer in an early adopter program. more>

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Updates from Siemens

Essentra Components Achieves Cost Savings Up To 10%
By Emilia Maier – Essentra Components is a global leader in manufacturing and distributing plastic injection molded, vinyl dip molded and metal items.

The company is focused on being a low-cost producer, so they can secure revenue growth at attractive margins, and facilitate continuous improvement programs with tight cost controls and productivity gains, serving to reduce conversion costs.

With the integrated calculation system for component and tool costs from Siemens, Essentra Components delivers cost-effective, high-quality products in response to customer needs. Essentra is using the global costing solution in the bidding phase to deliver fast and accurate costs worldwide.

“Quote generation is done today within one hour, as opposed to five hours before we had Teamcenter product cost management, so we save 80% of our time,” Derek Bean, Manager, Divisional Engineering Solutions Essentra Components.

The cost estimators at Essentra consolidate and verify the cost results in terms of plausibility, competitiveness, opportunities and risks with the help of the Profitability Analysis module in Teamcenter Product Cost Management. more>

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Updates from Siemens

Siemens Case Study: Lean Digital Factory Project

By Gunter Beitinger – In October 2017, Siemens launched their Lean Digital Factory (LDF) program. Combining a group of experts from different business functions and technology units, its purpose is to define a conceptual holistic digital transformation roadmap for all factories of the operating company Digital Industries (DI).

To fully capture the value of using big data in manufacturing, the plants of DI needed to have a flexible data architecture which enabled different internal and external users to extract maximum value from the data ecosystem. Here, the Industrial Edge layer comes into the picture, which processes data close to the sensors and data source (figure).

The Industrial Edge and data lake concept will enable a more powerful solution than any other data storage and utilization concept:

  • The MDP will be a colossal storage area for all manufacturing data and will be tremendously powerful for all user levels
  • The MDP data platform is a centralized and indexed aggregation of distributed organized datasets
  • Big data will be stored in the MDP independently of its later use, this means as raw data
  • In combination with Industrial Edge, the MDP is the pre-requisite for effective and scalable cloud computing and machine learning
  • The Industrial Edge is used in this architecture for multiple purposes like data ingestion, pre-preparation, security-gate, real-time decisions.
  • Highly integrated, but module and service-based ecosystem functionalities.

In DI, it can be challenging to harness the potential of digitalization at full scale due to installed proprietary software solutions, customized processes, standardized interfaces and mixed technologies. However, at Siemens, this doesn’t mean that we ran a large standardization program before leveraging the possibilities of data analytics and predictive maintenance in our plants.

To get rubber on the road at large scale, we required an architectural concept which allowed us to develop applications, scale up and transfer solutions from plant to plant, from engineering to shop floor as well as supplier to customer and reuse identified process insights from one application to another. more>

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Updates from Siemens

Transforming the Capital Asset Lifecycle – Part 1
By John Lusty – “Innovate or die”. Three years ago, in the global oil & gas industry, this was the dire message communicated from the boardroom to the operating plant as falling commodity prices were hollowing out corporate income statements. The same story echoed through the supply chain as engineering contractors and equipment manufacturers fought for survival – trying to win enough work to remain healthy within a shrinking capital project market while creating greater value from the existing capital asset lifecycle.

The cost-cutting that ensued was ugly, and the job losses were substantial. In parallel, the appetite for innovative ideas sky-rocketed as producers worked to wring out costs and remain profitable at any price. This triggered a new behavior within the traditionally siloed energy industry, for the first-time visionaries started to look to other manufacturing industries for capabilities that could be adapted to their own companies.

What they saw was a shock. Despite years of investing in software and technology, capital asset owners in the energy and process industries still had a long way to go to get full value from their technical information compared to other, more mature, industries. Unlike their business information which, to a greater degree, had been consolidated following two decades of ERP implementations, the technical information supporting their plant assets was still scattered across different locations and incompatible file formats.

To make matters worse, data from multiple projects and facilities used software from a variety of vendors along with their own standards and specifications. Plants that came in through acquisitions and mergers were even more unique. more>

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Updates from Siemens

Paragon VTOL Aerospace adopts solutions from Siemens to streamline next-generation design
By Alisa Coffey – The need for increased performance and reduced time-to-market has led Paragon VTOL Aerospace, a global vertical take-off and landing (VTOL) aircraft provider for numerous industries, to adopt solutions from Siemens Digital Industries Software through its product development process. Paragon produces industry-specific drone hardware ranging from security applications for agricultural theft and commuter law adherence to human passenger drones.

Paragon is also partnering with Aerotropolis Jamaica, a national project spearheaded by the Hon. L. Michael Henry in the Office of the Prime Minister, to build an ecosystem for Urban Air Mobility (UAM). The company plans to achieve positive results by reducing time and cost of its product development and testing through implementation of key technology from Siemens.

“Our vision is to provide a portfolio of intellectual property, industry specific drones, human passenger drones, and virtual highway platforms in Jamaica,” said Paragon VTOL founder and oil executive Dwight Smith, a native Jamaican and American citizen. “We currently have plans to implement software and hardware programs in 2019 and begin testing their two to four passenger drones by year-end 2019.”

Paragon has been developing their platform and much of the technology through collaboration with Siemens, major American universities, Silicon Valley experts, and ex-military personnel. Siemens is providing an integrated set of software solutions including STAR-CCM+, Simcenter, and NX for Paragon to design, test, produce, and monitor its extensive range of drone systems. more>

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Updates from Siemens

Electronics manufacturer controls its production with plant simulation
Siemens Manufacturing Karlsruhe uses the Plant Simulation solution in the Tecnomatix portfolio within the framework of its continuous improvement process
Siemens – Electronics can be produced in Germany at competitive market prices only as long as the manufacturing process is continuously improved. For this reason, the Siemens Manufacturing-Karlsruhe (MF-K) plant introduced the Plant Simulation solution in the Tecnomatix® portfolio to support the company’s continuous improvement process. Today, not only are production lines simulated before they are built, but workers actually control daily production using the software.

“Our mission is 100 percent quality, 100 percent delivery performance and 100 percent waste-free,” says Bernd Schmid, plant manager at Siemens MF-K. “That means we want to manufacture our products with as few resources as possible. This requires that the manufacturing processes operate how we envision them to. Plant Simulation is a big help to that end.” For its consistent use of simulation software, Siemens MF-K was recently named one of the winners of “100 Places for Industry 4.0 in Baden-Wuerttemberg.” The jury of experts recognized the company for practical concepts that intelligently combined production and value chains.

Siemens MF-K is a prime example of the challenges that manufacturing companies are mastering with the help of Industry 4.0: a high degree of variance, continuously shrinking batch sizes and fluctuations in order volume that are increasingly difficult to predict.

For example, the plant manufactures 125,000 industrial personal computers (PCs) per year, but the average batch size per order is a mere 1.8. From 90 million different possible variations to choose from in the configurator, approximately 10,000 are actually used. The life of an industrial PC generation is 2.5 years − short compared to the proven SIMATIC controllers, but long compared to industrial communications where a new product has to be produced every two days. more>

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Updates from Siemens

BAR Technologies uses Siemens Digital Industries Software solutions to create a new class of sport yacht
Siemens – With an optimized hull and dynamically adjusting foils that enable greater efficiency over a wider range of speeds, it’s a boat designed for both performance and comfort. The Princess Yachts R35 was made possible by BAR Technologies, which uses highly specialized techniques and processes when designing an America’s Cup racing yacht. BAR Technologies is now offering its unique expertise to customers across the marine industry.

Princess Yachts first approached BAR Technologies with the aim of creating a completely new design that would attract people who had not previously considered buying a boat. The new design was to be an entry-level purchase: a day boat that was exciting yet easy to drive. Paul Mackenzie, director of product development at Princess Yachts, explains: “We have a very high percentage of return customers and once they are in the Princess family they tend to move up our range, so introductory boats have always been important. However, most people who buy a Princess are already boat enthusiasts. We were looking to expand our potential market, closing the gap between boat owner and car owner, with a product that could be positioned alongside a super car.”

Simon Schofield, chief technology officer at BAR Technologies, adds “Our brief was to devise a technically driven design with increased efficiency and accessible performance, yet retain the luxury and quality that Princess is known for. The digital modeling and simulation tools and techniques that we have established over several years were critical to the fulfillment of the brief.”

The integrated virtual environment at BAR Technologies uses solutions from Siemens Digital Industries Software. These include NX™ software for product design,Teamcenter® software for data management and the Simcenter™ software portfolio, which includes Simcenter™ Nastran® for engineering analysis and Simcenter STAR-CCM+® software for computational fluid dynamics (CFD) analysis. more>

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Updates from Siemens

Well control equipment: Metal hat, Fireproof coveralls… CFD
nullBy Gaetan Bouzard – In the Oil & Gas industry, the integration of possible risk linked with well control — such as subsea plume, atmospheric dispersion, fire and explosion — is critical for minimizing impact on the entire system or on operations efficiency, and for ensuring worker health and safety. Risk to system integrity must be prevented at the design phase, but also addressed in case hazards happen along equipment lifetime or system in operation.

Last September 25th, Mr. Alistair E. Gill, from company Wild Well Control demonstrates the value of advanced structural and fluid dynamics mechanics simulation for well controls, emergency response and planning, as part of a Live Webinar organized by Siemens and Society of Petroleum Engineers. In this article I will try to summarize his presentation. To have more insights feel free to watch our On-Demand Webinar.

To be honest when talking about well control for Oil & Gas industry, people usual conception is that some disaster happened and guys wearing protections are trying to light off a big fire. Actually companies such as Wild Well Control are using modern and innovative techniques as Computational Fluid Dynamics (CFD) simulation to support practical team on a well control incident trying to keep asset integrity at the same time.

Mr. Gill provides several examples to demonstrate simulation techniques that were used from

  • Subsea plume and gas dispersion modeling to understand where hydrocarbons go in the event of a blow out
  • Radiant heat modeling in case of a fire
  • Erosion modeling
  • Thermal as well as Structural analysis

There is basically three major categories of simulation used, starting with everything related to the flow within the well bore, looking at kick tolerance, dynamic kill or bull heading; next anything to do with 3D flow using CFD simulation which is the main focus of this article; finally structural analysis using Finite Element modeling. more>

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Updates from Siemens

Gruppo Campari: Brand spirits leader digitizes its business operations with the SIMATIC IT suite
Using Siemens technology, Gruppo Campari has created a unified repository for all product specifications and increased the efficiency of product development and manufacturing processes
Siemens – With so much talk about securing the Italian control of key businesses, a few companies play offense and take the Italian lifestyle and “Made in Italy” all over the world. Among them is Gruppo Campari, which closed 26 acquisitions in the spirits industry in the past two decades to become the world’s sixth player, with over 50 premium and super-premium brands. Besides aperitifs of international renown (Campari, Aperol), the portfolio includes bitter liqueurs (Averna, Cynar, Braulio) and spirits (Skyy, Grand Marnier, GlenGrant, Wild Turkey, Appleton). In 2016 the group exceeded €1.7 billion in consolidated revenues, with most sales in Americas and the Southern Europe, Middle East and Africa (SEMEA) region.

With each acquisition, Gruppo Campari needs to integrate new products, plants and assets into its operations management systems. Recent examples include J. Wray & Nephew, a company with more than 2,000 employees producing Jamaica’s 225-yearold top rum Appleton Estate, Grand Marnier in France acquired in 2016 and Bulldog London Dry Gin in 2017. Currently, the group operates 58 sites: 18 owned factories, 22 co-packers and 18 distribution centers, counting up to thousands of materials and specifications.

The turning point for the management of such a complex and constantly evolving organization came in 2012. Until then, Gruppo Campari had maintained an unstructured approach to the management of product specifications, which were created locally using Microsoft Word documents or Microsoft Excel® spreadsheets. Besides creating documents in different formats and languages, there was no standard workflow for document authoring and validation, and information was shared via email or phone.

In 2012, the Group launched an extensive digitalization of operation processes, selecting SIMATIC IT Interspec from Siemens PLM Software, a configurable solution for product specification management in process industries, and embracing the Siemens “digitalization” philosophy.

SIMATIC IT Interspec allows the company to develop, configure and manage all product specifications (raw materials, intermediate and finished products and packaging materials), storing all specifications in a single, controlled data repository. more>

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Updates from Siemens

Revolutionizing Plant Performance with the Digital Twin and IIoT eBook
By Jim Brown – How can manufacturers use the digital twin and industrial IoT to dramatically improve manufacturing and product performance?

The manufacturing industries are getting more challenging. Manufacturers must evolve as new technologies remove barriers to entry and enable new, digital players to challenge market share. Operational efficiency is no longer enough to compete in today’s era of digitalization and Industry 4.0.

To remain competitive, companies have to maintain high productivity while offering unprecedented levels of flexibility and responsiveness. We believe this is a fundamental disruption that will change the status quo. To survive, manufacturers need to digitalize operations in order to improve speed, agility, quality, costs, customer satisfaction, and the ability to tailor to customer and market needs.

One of the most compelling digitalization opportunities is adopting the digital twin. This approach combines a number of digital technologies to significantly improve quality and productivity. It starts with comprehensive, virtual models of physical assets – products and production lines – to help optimize designs. But the value is much greater because the physical and virtual twins are connected and kept in sync with real data from the Internet of Things (IoT) and Industrial IoT (IIoT).

Further, companies can use analytics to analyze digital twin data to develop deep insights and intelligence that allow for real-time intervention and long-term, continuous improvement.

The digital twin holds significant productivity and quality opportunities for the plant. It can be used to understand when the plant isn’t operating as intended. It can identify or predict equipment issues that can result in unplanned downtime or correct process deviations before they result in quality slippage, scrap, and rework. more>

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