The semiconductor industry thrives on precision, rapid technological advancements, and resilient supply chains. In this high-stakes environment, program management, risk mitigation, and strategic deployment of new technologies are paramount for maintaining a competitive edge.
Shubham Ekatpure has been adding both efficiency and robustness to semiconductor supply chain management. A major addition that he made in the field is the program management of semiconductor packaging machines.
He successfully managed the new product sourcing for five advanced packaging machines, tackling through the complicated process that involved handling over 25,000 lines in the Bill of Materials (BOM).
This project spanned the entire spectrum from CAD design to the production pilot lot, culminating in the successful implementation of a strategic global supply network. This scale of complexity required attention to detail in coordinating across multiple suppliers while optimizing costs and managing resource allocation.
Cornerstone of his contributions was the development of a supply risk management tool during the COVID-19 pandemic. With global supply chains facing severe disruptions, managing risks for electronic components became an urgent priority.
The Python-based tool he developed allowed real-time tracking of supply risks for over 3,000 components, automating the purchasing process for high-risk components. This not only ensured uninterrupted production but also protected the organization from severe financial losses. Integrating AI tools and data science, this system offered a proactive approach to supply chain challenges, setting a precedent in the industry.
The Python-based algorithm for the “should cost” model was designed to estimate the cost of semiconductor equipment with over 20,000 lines in the BOM, incorporating variables like prototyping costs, machine research, and component prices.
It added on to the existing expertise in the field. With an accuracy margin of 5% for tools valued at $1-2 million, this model became a critical asset for the business unit, helping to make informed strategic decisions and optimize the cost of goods sold (CoGS). The precision of the algorithm enabled the organization to better manage its resources, considerably reducing delays and bottlenecks.
The capacity planning simulator further optimized resource allocation and supplier preparedness for a diverse set of six products. This tool played a crucial role in ensuring the robustness of the supply chain, especially during periods of peak demand. By aligning supplier readiness with the company's production requirements, the simulator contributed to timely market entry and minimized production delays, further enhancing the operational capabilities of the organization.
“My work extended beyond supply risk management to digital procurement, particularly in his collaboration with various AI tech providers”, adds Shubham. He integrated AI-driven tools into smart supply chain practices for sourcing, planning, purchasing, should-costing, and risk analysis in the semiconductor field. These AI tools introduced automation and predictive capabilities, allowing for better decision-making and improved time to market. This digital transformation of supply chains is becoming increasingly vital as organizations look to enhance their resilience in the face of global uncertainties.
The “should cost” model alone saved the organization over $10 million throughout the product lifecycle by optimizing procurement strategies and outsourcing new products with expenditures exceeding $1.5 million. Furthermore, the introduction of Six Sigma methodologies led to a 12% reduction in inbound freight costs, translating into an $80,000 annual savings for the company.
In a field as dynamic and fast-paced as semiconductor manufacturing, these innovations represent his understanding of the industry. From enhancing the accuracy of cost models to mitigating supply chain risks during one of the most disruptive periods in recent history, his work has not only optimized internal processes but also provided a blueprint for future advancements in supply chain technology.
By driving digital transformation and leveraging AI tools to refine supply chain operations, Shubham Ekatpure’s efforts have significantly improved the reliability and efficiency of semiconductor manufacturing processes. The combination of strategic foresight, technical innovation, and the ability to adapt to global challenges has made a lasting impact, advancing both the technology and the practices in the semiconductor industry.
Top comments (0)