Mahesh Chandra Pati

Title: Mahesh Chandra Pati: Innovator in Production Scheduling

Introduction

Mahesh Chandra Pati is a notable inventor based in South Glastonbury, CT (US). He has made significant contributions to the field of production scheduling through his innovative methods and systems. With a total of 2 patents, Pati has developed solutions that optimize resource allocation in manufacturing processes.

Latest Patents

One of his latest patents is titled "Method for allocating limited component supply and capacity to optimize production scheduling." This method and system focus on resource rationing, employing decision rules for optimal allocation of supply and capacity over time. It satisfies key operational objectives such as low inventory and short lead times while allowing for timely computation of feasible production schedules. The system divides priority-ranked scheduled releases into smaller, prioritized releases to determine an optimal supply schedule.

Another significant patent is the "Decomposition system and method for solving a large-scale semiconductor production planning problem." This method efficiently allocates limited manufacturing resources to meet customer demand. It utilizes a unique systematic decomposition approach that enhances modeling flexibility and reduces computation time, moving beyond strictly linear programming to include nonlinear programming characteristics.

Career Highlights

Mahesh Chandra Pati is currently employed at International Business Machines Corporation (IBM). His work at IBM has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in production planning and resource management.

Collaborations

Pati has collaborated with notable coworkers such as Sanjay R Hegde and Robert J Milne. These collaborations have likely enriched his work and contributed to the development of his patents.

Conclusion

Mahesh Chandra Pati is a distinguished inventor whose work in production scheduling has led to innovative solutions that optimize resource allocation. His contributions are significant in the field of manufacturing, showcasing the importance of effective planning and resource management.