IMPACT FACTOR : 5.212

REDUCING SUPPLY CHAIN CONSTRAINTS WITH DATA-DRIVEN PLM PROCESSES (KEY IJW**********035)

• Rafa Abdul1, Priyank Mohan2, Phanindra Kumar3, Niharika Singh4, Prof. (dr) Punit Goel5 & Om Goel6

Abstract

In an increasingly competitive market, supply chains are subject to various constraints, including material shortages, fluctuating demand, and logistical challenges. Data-driven Product Lifecycle Management (PLM) offers a strategic solution to mitigate these constraints by fostering real-time decision-making and proactive management. This study explores how integrating data analytics within PLM processes enhances visibility across the entire product lifecycle, from design and development to distribution and end-of-life management. The approach leverages predictive analytics, digital twins, and IoT to anticipate disruptions and optimize resource allocation, minimizing bottlenecks and production delays.