The emergence of the Internet of Things has enabled people to accelerate the pace of innovation in the process of product design. Manufacturers can already obtain data directly from the product side of the field, and they can use this data to improve the design of new products or new versions. Therefore, in order to successfully design a better product, organizations need to actively adopt new technologies and functions provided by enterprise system vendors.
Enterprise engineers should pay attention to the following five product design trends in 2018:
1. Application of augmented reality technology (AR) in design review
As the company grows, the distribution of teams becomes more and more global, making it difficult for everyone to participate in the process of design review, information search and feedback in a timely manner. However, by using augmented reality technology, team members can visualize, interact with product designs and provide design feedback anywhere in the world. Augmented reality allows project participants to interact with the 3D model of the product, for example, to view the surrounding environment and different states of the model, as well as to enter the model. Users can also gain third-party perspectives from other team members through augmented reality. This is especially handy when interpreting your colleague's notes, and you can even see what they think of the model when writing notes.
At the same time, AR technology gives companies the possibility to share design ideas and results anytime, anywhere. For example, companies need to confirm the manufacturability of the design with 3D printing suppliers. They can quickly share the design with the supplier through AR technology. The 3D printing supplier uses the AR review design, as if she is looking at the physical model of the entity. She can quickly provide feedback to the design team to ensure they complete their work on time.
2. IoT products change design practice
The entire market is heavily promoting smart connectivity products like Amazon Echo, Nest Thermostat and Fitbit. In order to fully meet the needs of customers, manufacturers need to change the product development process, to process and use real-time product data. The practice of marking this information on CAD drawings is outdated as products become more complex. Manufacturers need to make the development process more organized and organized.
A comprehensive product lifecycle management (PLM) system provides a solid foundation for leveraging IoT technology. By consolidating all product information into a single view of a digital product definition, companies can ensure that all project participants have access to the most up-to-date and accurate product information. The PLM system allows all information to be simplified into an easy-to-read bill of materials (BOM) format.
The development and maturity of Internet of Things technology enables product lifecycle management (PLM) to truly realize the ability to manage lifecycle product data. The PLM system can not only manage the quality information in the design and manufacturing process of products such as DFMEA, PFMEA, etc. The real-time problems generated during the actual operation of the product can be managed in a unified manner, allowing designers to obtain the earliest quality insights.
3, digital
Product data is the company's most valuable asset. Once the product data is collected from the field, it becomes more and more valuable every day. However, many companies still separate it from engineering and manufacturing. In fact, product data can be used throughout the enterprise: whether it is about how the marketing team sells the product or how the sales team sells it.
The digital process in product development makes it easy for project personnel throughout the company to access product information. For example, if a manufacturer merges or acquires another company, the digital product development process will allow the different team members involved in the project to obtain product information, avoiding problems caused by inconsistent infrastructure between enterprises. .
Digitization also ensures that product designs meet industry standards throughout their life cycle. This is especially important in highly regulated industries such as medical devices or automobiles. If you can pinpoint the root cause of a problem and track changes throughout the product lifecycle, you can more smoothly ensure that the manufacturer meets industry standards.
In the digital age, manufacturing companies can truly drive customer, data-driven, optimized or re-engineered business processes and business models through digital technologies such as Product Lifecycle Management (PLM), Internet of Things, Big Data, Cloud Computing, Mobile Technology, and Industrial Innovation Platforms. Inspire innovation and bring better products, services and user experience to customers to build differentiated competitive advantages.
Build a complete product life cycle digital information, open up the internal business system information islands, and let the data truly move and flow in all departments and disciplines of the enterprise. Will greatly enhance collaboration efficiency and product quality.
4. Product Lifecycle Management (PLM) and Digital Mapping (Digital Twin)
It is important to understand the on-site operation of each product or asset to increase profitability, improve decision making processes, and ensure product safety and compliance. Through digital mapping, digital definitions can be combined with specific information about physical assets (eg, combined with environmental conditions and performance data from operating assets). This special digital representation allows manufacturers to conduct asset analysis and promote future sales, product recalls or opportunities to update products. Real data from the physical world can be used to improve the quality of next-generation products.
At the same time, through Digital Twin technology, interconnected product performance data can be collected back to the PLM system and analyzed in real time to improve the design of the next generation of products. At the Beijing PTC Forum on December 7th, the case of Bosch Cytropac, shown in Keynote by Ms. Kathleen MITFORD, Executive Vice President of Product and Market Strategy at PTC. By building a digital mapping of products, product managers can investigate scenarios related to cooling efficiency improvements and product improvements based on actual operational data. The review team found that increasing cooling efficiency by 30% would increase sales to existing customers, increase long-term reliability and capture new market share for high-performance applications. Through this role-based application, product managers launch design change orders directly in their Windchill PLM system.
5. Rapid transformation using cloud PLM
To stay competitive, manufacturers must quickly change their product development processes. To do this, you need to host their PLM and other enterprise systems in the cloud. Cloud-based PLM eliminates the burden of building and maintaining systems while reducing the cost of owning the system. More and more manufacturers are getting rid of the burden of deploying and maintaining PLM systems locally.
Cloud PLM enables manufacturers to quickly deploy their own PLM solutions and see results faster. Cloud deployment also reduces the burden on managed servers.
In addition, many companies also want to host their PLM solutions in a software-as-a-service (SaaS) model. SaaS offers many of the same benefits as the cloud, and PLM vendors handle all upgrades, updates and software migrations for customers.
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