System Integration to Help Metal Formers Along Their Digital Transformation/IoT Journey

Digital transformation has been gaining maturity. From a heavily promoted futuristic vision mainly based on technology (e.g., big data, artificial intelligence) the concept has evolved into a more realistic and attainable one. Some overall frameworks (e.g. the Smart Industry Readiness Index by the Singapore Economic Development Board) have been developed to address organization, process and technology. More than anything digital transformation is a journey.

With a directional understanding of the concept, manufacturers should customize and craft company-specific plans. This presentation will provide some guidance:

1. Build a digital transformation team and dedicate the required resources.
2. Provide upper management endorsement with ongoing support and funding.
3. Involve and gain buy-in from the entire organization.
4. Bring in the experts when internal resources are overloaded or to aid in those areas where inhouse expertise is lacking.

CASE STUDY: IoT Brings Benefits to the Thai Summit Pressroom

Automotive Tier One supplier Thai Summit integrates more than 50 press and assembly work centers to gather data on machine downtime and optimize maintenance procedures. Among the numerous benefits: enhanced shop-floor visibility, increased OEE and improved employee performance.

In March 2019, the firm set baselines for its work centers, and in April it launched its IOT platform. In just six months, it increased cycle output to the tune of about $5 million.

With the first phase and core infrastructure in place, it’s excited to really start exploiting the full power of IOT for years to come. Lineside labeling, validation, traceability, quality, fault tracking, piece serialization, custom visualizations are either in the works, or on the radar as we’ll continually roll out new functionality and continuous improvement.

Data Security and Shop Floor Integration/IIOT

Competing in the world of Industry 4.0 depends on a manufacturer's ability to adopt technologies such as machine learning and analytics, artificial intelligence, IIoT devices and automation, and then scale those technologies across the organization. Yet, relying more on sophisticated technology comes at significant risk to the organization if not properly managed. Understanding how data is accessed, shared and leveraged across your organization is critical to security.

Key takeaways from this presentation:

• Develop an understanding of how to align advanced technology with your business strategy;
• Assess your organization’s I4.0 security capability and competitiveness;
• Improve your knowledge of how to layer security into applications and integrations;
• Sample I4.0 enterprise security examples and lessons learned.

Optical Metrology and Using the Data to Improve Your Metal Forming Process

Knowing the properties of incoming material is crucial when working through the various phase of tool and die development. Here’s an IOT technology, optical forming analysis (OFA), developed to replace the conventional circle grid analysis (CGA), which allows operators to analyze full-field formability of a sheet metal panel. Metal formers can use the data to track die-station health during production.

Evaluating the Top Machine-Data Solutions for Small to Midsized Manufacturers

Learn the key questions to ask as you evaluate an IoT solution to connect your machines for real-time data collection, analysis and more. This presentation will compare IOT-solution providers in five areas, to help guide your decision on a “best-fit” for your company. Even if you select “none-of-the-above,” this information will help you narrow your selection criteria to select the best partner(s). Build your digital plan understanding the data connection, 3rd-party resources required, company expertise, integration options and cost model that makes the most sense for your company.

CASE STUDY: The Digital Transformation Journey of an Automotive Tier Supplier

Manufacturing firms are embracing digital transformation and leveraging artificial intelligence and Big (Smart) Data metrics to improve efficiency and productivity on the shop floor. The interactions of the real and virtual worlds create the backbone of such smart production, founded on the principles of lean manufacturing and leveraging IOT-based technology.

This presentation will:

• Educate the audience on the principles, as they pertain to small and midsized manufacturers (SMMs), of digital transformation, Industry 4.0 and the Industrial Internet of Things (IIoT);
• Explain how SMMs are leveraging artificial-intelligence-based technologies to look at asset health and diagnostics to predict the remaining useful life of equipment in real time, achieving significant productivity improvements; and
• Present a case study with Detroit Manufacturing Systems (DMS), to shed light on how the Tier One automotive supplier transformed itself from a “fail and fix” maintenance approach to “predict and prevent.”