The Industry Scientist is an AI-Based Industry Management and Performance Improvement System. It can plan your complex projects, manage industrial processes to maximize efficiency, handle all exceptions, monitor & execute tasks and link together all players involved through a smart communication module. The Industry Scientists technology is based on genetic algorithms and neural networks which allow the AI to think and make decisions the same way a human does. These features make the Industrial Scientist invaluable in a variety of industries such as manufacturing, logistics, maintenance, healthcare, retail and so on. Its industry agnostic nature and flexibility make the possibilities absolutely endless.
The Industry Scientist’s software stack comprises of a deep learning capable AI powered by genetic algorithms and neural networks. Its knowledge base allows it to understand projects, industrial algorithms and communication. Its Genetic and Neural Algorithms are tailored towards different maintenance and management scenarios such as predictive, preventive, breakdown, plant and field service maintenance. Its universal interfacing allows task and project management for both humans and machines, enabling seamless communication workflows. Its advanced Operations Research (OR) Algorithms allow it to handle multiple use cases in manufacturing, operations and logistics. The AI’s scorecard-based optimization techniques help with learning, planning, optimization, replanning and execution.
The Industry Scientist has proven to greatly increase operational efficiency, reduce delay, lower overall costs, optimize utilization of resources, improve accountability, enable rapid work scheduling and take over. It also creates multi-solution charts, handles exceptions, does a variety of analysis and gives the ability to undo changes. Its live modelling capabilities allows it to capture an entire organization and its parameters, these parameters are changed to raise the company’s profit margins. It creates a variety of mathematical equations for this purpose while simultaneously extrapolating and interpolating the parameters.
The AI can learn and execute multiple management scenarios such as understanding the project scope, handling risks involved, coordinating with both stakeholders and customers. The AI automatically optimizes conventional processing based on user defined parameters, which allows to understand user and machine inputs, time & space, geography, transportation models, law of the land and all external factors. The AI handles exceptions based on what to do when, for example in the case of machine malperformance or if a resource is unavailable. It understands situations and can apply the same rational decision making a human manager would in those situations. The AI can control and monitor the entire organization as a whole, which allows it to validate and control scope, resources, communication, risks and procurement. The AI’s condition monitoring capabilities allow it to integrate different kind of analysis such as electric signature, ultrasound, vibration, heat, oil and criticality index. Coupled with its automated task ticketing system and maker-checker model allows it to immediately classify fault and optimize processes. Its heightened project intelligence allows it to decide which supplier to choose based on past decisions and trends and how to distribute amongst the suppliers. This analysis of trends to help the AI make decisions also allow it to predict delays based on parameters pointing to future delays and malfunction, abnormalities, reduced energy efficiency and performance degradation. This intelligence also extends to the entire organization which allows it to create a plan B for any operation and undo failure, while planning fatigue free work and leveraging human and machine resources.
This analysis of trends that help AI make decisions enables it to predict delays based on parameters that indicate future delays and malfunctions, anomalies, reduced energy efficiency, and performance degradation. This intelligence also extends to the entire organization, allowing it to create a Plan B for each task and undo mistakes while planning fatigue-free work for humans and machines and deploying their resources.