IPC International Community magazine an association member publication
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IPC COMMUNITY 58 SPRING 2024 sible, and scalable, and caters to the diverse needs of manu- facturers and OEMs alike," Arik says. Partnership with WHMA: Elevating Industry Standards T h e a l i g n m e n t o f b o t h El-Com Systems and Cablete- que with the Wire Harness Manufacturer's Association (WHMA) underscores their commitment to excellence and innovation in the wire harness industry. "The industry adoption of WHMA/ IPC-A-620 workmanship standards provides a practical and common framework that defines the manufacturing practices of electrical wire harnesses," Arik says. "Cableteque leverages the WHMA/IPC-A-620 standard to help customers maintain optimal quality by identifying poten- tial design gaps that don't meet IPC require- ments." This partnership is central to Cablete- que's efforts to shape and adhere to industry time-consuming to rectify. "The PIA applica- tion exemplifies a shift from conventional, labor-intensive methods to a more streamlined, efficient, and accurate approach," Arik says. "PIA's ability to conduct exhaustive design rule checks and offer predictive analytics ensures that designs are both compliant with technical specifications and optimized for manufactur- ing efficiency." The PIA software-as-a-service (SaaS) is more than just a tool for error detection. "PIA is a cloud-based platform that is powerful, acces- Wire harness manufacturing is a sector marked by complexity. It is an intricate web of wires and connec- tors that must be precisely engineered to function in unison. Historically, the process of designing and validating these systems has been fraught with chal- lenges, from undetected design errors to inefficient validation processes. Cableteque's PIA application addresses these challenges head-on. Traditional design validation methods in wire har- ness manufacturing involve time-consuming manual checks prone to error. Predictive Interconnect Analysis (PIA) uses AI algorithms that conduct comprehensive and automated design checks to reduce human error and increase efficiency. Design Rule Check (DRC) At the heart of PIA is its advanced DRC capability, which verifies that each component in a design meets specific criteria for compatibility and functionality. The AI algorithms enhance DRC by analyzing designs for potential errors in real time, flagging incompatibili - ties and suggesting optimal alternatives. Component Library and Real-time Market Data Another significant aspect is PIA's extensive com- ponent library, integrated with real-time market data. This feature enables manufacturers to access up-to- date information on component availability, pricing, and obsolescence. The AI system can recommend the best components based on current market conditions, leading to more informed and cost-effective decisions. Enhanced Communication and Collaboration A key challenge in wire harness manufacturing is effective communication between manufacturers A Closer Look at PIA