Utilize a comprehensive digital twin in KSK production

The continually evolving automotive industry faces multiple challenges owing to the demand for advanced features, the advent of Advanced Driver Assistance Systems (ADAS) and autonomous driving, and the growing need for electrification. These megatrends directly impact and create the need for a highly sophisticated automotive electrical and electronic (E/E) system, emphasizing the wiring harness. At the same time, the surge in demand for mass customization is driving up the number of unique vehicle configurations, increasing the wiring harness's complexity and variance now more than ever. Manufacturing engineers who are in the wire harness business have a highly complex product to contend with. From the main body harness to the seats, engine, and doors, the automotive wiring system can contain upwards of 10,000 components to keep track of.

Watch this on-demand webinar to learn about the challenges faced and how the right software solution can support manufacturing engineers and help them utilize already existing data from the design engineers during the first manufacturing data preparation.

Effectively manage complex wiring harness variants for automotive E/E systems

Effectively managing the complex wiring harness and its variants, from design through manufacturing to its delivery to the customer, is paramount. The most sought-after solution to this enigma by automotive OEMs and harness manufacturers alike has long been the Kundenspezifischer Kabelbaum (the German term for customer-specific wiring harness), a.k.a the KSK philosophy. Although the KSK is a commercially successful and proven business model, traditional KSK data assimilation approaches are weak. They could soon become irrelevant, given the inevitable digital transformation en route to realizing Industry 4.0.

This webinar sheds light on the industry challenges and how Siemens' advanced harness manufacturing engineering solutions can help— Register to join now!

What you will learn:

• KSK model and its challenges in manufacturing engineering
• Capital solutions for manufacturing engineering
• Plant simulation for virtual process optimization