Enhancing Supply Chain Resilience: Insights from Jaymalya Deb on Machine Learning and Forward-Looking Innovations in Engineering
In the dynamic world of industrial process filtration, Jaymalya Deb, the Division Materials Manager at Parker Hannifin, is making waves with his innovative approach to supply chain management. As a Fortune 250 company, Parker Hannifin specializes in industrial process filtration and related engineering industries, and Deb's contributions are helping to drive the company's success.
Deb's expertise lies in consolidating data from ERP systems like Oracle EBS and external sources to drive decision-making processes and improve supply chain performance. He employs a hybrid forecasting model that incorporates external inputs, such as market trends or supplier performance metrics, to improve demand accuracy and reduce stockouts.
His role involves leading cross-functional teams, where he uses a structured yet collaborative strategy for alignment. Deb is renowned for designing innovative solutions that improve forecasting, production, demand planning, delivery, and profitability outcomes.
One such innovation is an automated shop floor scheduling system that continuously optimizes the available capacity against released work orders to achieve positive on-time outcomes for the organization.
Deb's background in Mechanical Engineering, Manufacturing Systems Engineering, and Management equips him with the technical and business acumen necessary to navigate the complexities of modern supply chain management. He is the author of "Managerial Perspective to Operational Excellence: Using Lean Ideas to Compete Against Low-Cost Countries," a book that presents a case-based approach to Lean implementation and change management.
In a world where AI-driven solutions are poised to play a larger role in autonomously managing supply chains, Deb advocates for companies to invest in robust data infrastructure, upskill their teams, and pilot AI tools in controlled environments. He believes that technology, particularly machine learning, is revolutionizing how companies address supply chain challenges such as resilience amid global disruptions and data scarcity.
However, Deb acknowledges that securing buy-in from stakeholders unfamiliar with technical aspects can be challenging. To bridge this gap, he translates complex concepts into tangible business benefits using visual aids and targeted demonstrations.
Amidst the current global disruptions, Deb identifies supply chain resilience as the most pressing challenge facing the industry. He leverages Lean principles, such as waste elimination and continuous improvement, in conjunction with advanced analytics to offer a powerful framework for optimal supply chain performance.
With over 20 years of leadership experience and technological expertise in supply chain and commodity management, engineering, IT, and manufacturing, Deb continues to be at the forefront of driving innovation in the industry. His vision for the future is a highly predictive, self-adaptive demand forecasting process, leveraging real-time data from diverse sources for unprecedented precision.
