Down for maintenance.

Rajeev Kalamdani
Director, Manufacturing & IIoT Analytics
Ford
Brian is a seasoned engineer with over 20 years of experience in manufacturing and controls, currently entrenched in Smart Factory Technology Development.

He holds a BSEE from Case Western Reserve University and an M.S. in Engineering Management from Wayne State University. Throughout his career at Ford Motor Company, Brian has played a key role in implementing innovative control systems and technologies to enhance manufacturing processes and drive efficiency.

He was a key member in the development of Ford's manufacturing Common Data Model, a critical initiative that standardized data sharing across the manufacturing space.

Currently, Brian is engaged in the development of future manufacturing systems, leveraging his expertise in data, automation, and electrical engineering to drive the next generation of smart factories.
Brian is a seasoned engineer with over 20 years of experience in manufacturing and controls, currently entrenched in Smart Factory Technology Development.

He holds a BSEE from Case Western Reserve University and an M.S. in Engineering Management from Wayne State University. Throughout his career at Ford Motor Company, Brian has played a key role in implementing innovative control systems and technologies to enhance manufacturing processes and drive efficiency.

He was a key member in the development of Ford's manufacturing Common Data Model, a critical initiative that standardized data sharing across the manufacturing space.

Currently, Brian is engaged in the development of future manufacturing systems, leveraging his expertise in data, automation, and electrical engineering to drive the next generation of smart factories.

Exhibitor Categories

Industrial Control Systems

improve processes and production quality at every stage of your operation and provide seamless data exchange

Smart Devices

are self and system-aware assets that acquire, process and monitor operating data.

Robotics

accelerate autonomous / semi-autonomous operations and contribute to systems that are more intelligent, intuitive and flexible.

Analytics

use data to solve manufacturing bottlenecks, optimize output and quality and provide new insights, tapping into the power of Industrial AI.

Production Logistics

delivers an orchestrated, agile, zero touch material flow through manufacturing operations with autonomous mobile robots (AMRs).

Quality Management Systems (QMS)

standardize and automate quality documentation, processes and measurements.

Supply Chain Planning (SCP

combines data from multiple departments to sync demand and supply forecasting to improve inventory accuracy and production management

Enterprise Resource Planning (ERP)

automates front- and back-office processes across business management and related functions

Production Monitoring

provides seamless connectivity to machines on the plant floor, delivering transparent, real-time operational KPIs like Overall Equipment Effectiveness (OEE).