Optessa

Optessa Inc., founded in 2001 by Srinivas Netrakanti and headquartered in Edmonton, Canada, operates as a specialized provider of advanced planning and scheduling (APS) software for complex manufacturing environments. Initially known as Netaps, the company has established a significant presence in the automotive sector, with its solutions being utilized by four of the top ten global original equipment manufacturers (OEMs). In February 2024, Optessa was acquired by Eyelit Technologies, a move intended to integrate Optessa's planning and scheduling capabilities with Eyelit's broader Manufacturing Operations Management (MOM) and Manufacturing Execution System (MES) offerings.

The company's business model centers on providing sophisticated software solutions that tackle production planning, sequencing, and scheduling challenges. Optessa serves large-scale manufacturers across various industries, including automotive, electronics, semiconductors, food and beverage, and paints. Its software is designed to optimize production by reducing downtime, lowering operational costs, and ensuring on-time order delivery through patented “Fast Optimization” algorithms that leverage operations research techniques like constraint programming and combinatorial optimization. These algorithms are capable of generating near-optimal production schedules in real-time by evaluating a vast number of potential solutions.

Optessa's product suite is available in several versions, including Optessa MLP for master-level planning, Optessa MLS for detailed sequencing, and Optessa RTS for real-time scheduling. The software can be deployed on-premise or in the cloud and integrates with existing Enterprise Resource Planning (ERP) and MES systems. Key features include a comprehensive constraints library, real-time data integration for dynamic re-optimization, capacity planning, bottleneck analysis, and 'what-if' scenario modeling. This allows manufacturers to manage complex assembly workflows, balance production lines, and adapt to disruptions without requiring custom programming.

Keywords: advanced planning and scheduling, APS software, manufacturing optimization, production sequencing, automotive manufacturing, supply chain solutions, constraint programming, real-time optimization, production planning software, Eyelit Technologies, manufacturing execution system, operations research, discrete manufacturing, process manufacturing, factory scheduling, lean manufacturing, supply chain resilience, resource optimization, bottleneck analysis, order fulfillment