AIDEAS
Manufacturing Suite

The primary objective of this tool is to enhance the efficiency of product packaging, storage, and delivery processes. To achieve this, AI applications will assist users in developing optimized plans and strategies for logistics, ensuring timely delivery to customers. Additionally, the optimization efforts will focus on space utilization within the manufacturer’s storage facilities, accounting for potential disruptive events. Ultimately, the AI applications aim to maximize the responsiveness and agility of the supply chain between the manufacturer and customers.

The primary focus of this solution is to enhance manufacturing techniques and methods to efficiently produce the necessary components and products for industrial equipment. These optimizations encompass various aspects such as sequencing and balancing production processes, conducting quality examinations pre and post-production, resource allocation, and calibration of shop floor equipment.

ITI aims to develop an AI-driven scheduling optimization tool specifically designed to generate and update production schedules within manufacturing plants. This tool will consider factors like the availability of human resources, setup times, dependencies between operations, and more, to swiftly generate production schedules within a short timeframe (less than 30 minutes). Additionally, it will enable rapid rescheduling to provide near real-time responses to environmental changes, including machine breakdowns, last-minute customer orders, delays in raw material delivery, and other unforeseen events.

The optimization of materials and components procurement using AI applications is an important aspect of industrial production planning. The use of AI can help consider multiple factors and variables to generate an optimized Materials Requirements Planning (MRP).

In summary, AI applications will be utilized to optimize materials and components procurement by considering multiple factors. The FACOP framework will serve as the foundation for the optimization process, allowing the development of specific components for MRP calculation. This approach enables efficient and flexible development, as well as the reuse of compatible components to solve different optimization problems.

The development of the Machine Passport for storing and sharing manufacturing data throughout the product life phases is a crucial aspect of ensuring efficient data integration, sharing, and exchange in the industry. The MP aims to establish data exchange protocols, standards, and interfaces that facilitate seamless communication between various computer-aided systems and manufacturing stages.