Production Plant Control Using Customer Satisfaction Prediction
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Solution Overview
Problem
Current methods for managing customer expectations in production plants are inefficient, as they rely on manual reactions to complaints, leading to decreased productivity and customer satisfaction, and existing predictive systems do not effectively integrate with production processes to address operational challenges.
Innovation Solution
A computer-implemented method that monitors and controls production plants by providing customer expectation data and plant operation data to a predictive model, which extracts instructions to optimize customer satisfaction, using a combination of supervised and unsupervised machine learning models to adjust production parameters and logistics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual reactions to customer complaints are used to manage production, then customer expectations can be addressed, but productivity decreases and customer satisfaction is poor
Solution Approach 1:
The patent replaces manual mechanical processes (human operators physically monitoring and reacting to complaints) with an automated information processing system that collects, analyzes, and responds to customer feedback automatically, thereby maintaining adaptability while eliminating productivity loss from manual intervention
Solution Approach 2:
The system enables self-service by allowing the production management system to automatically process customer feedback and adjust production parameters without requiring manual intervention from operators, thus maintaining customer expectation management while preserving productivity
2Adaptability or versatility
If production processes are manually monitored and adjusted, then some customer needs can be met, but response time to production difficulties is slow
Solution Approach 1:
The patent implements continuous feedback loops where customer expectations and production status are constantly monitored and fed into the system, enabling real-time detection of mismatches and immediate automated responses, thus meeting customer needs adaptively while minimizing response time delays
Solution Approach 2:
The system performs preliminary actions by proactively analyzing customer expectations before production difficulties occur and pre-adjusting production parameters to prevent issues, rather than reacting manually after problems arise, thereby reducing response time while maintaining adaptability
3Reliability
If additional personnel are deployed to monitor and react to customer feedback, then customer satisfaction can improve, but operational costs increase
Solution Approach 1:
The patent substitutes human personnel with an automated computer-based system that performs monitoring, analysis, and response functions, thereby maintaining reliable customer satisfaction management while eliminating the need for additional personnel resources
Solution Approach 2:
The system creates a virtual copy of the customer feedback processing function through software algorithms that simulate and automate human decision-making processes, achieving the same reliability in customer satisfaction without requiring physical human operators
Data Source
AI summary
The present invention is in the field of computer-implemented methods for monitoring and/or controlling a production plant based on customer expectations. The present invention relates to a computer-implemented method for monitoring and/or controlling a production plant comprising (a) providing expectation data related to customer expectation, (b) providing plant data related to the operation of a production plant, (c) providing the expectation data and the plant data to a model suitable for extracting instructions based on a predicted customer satisfaction, and (d) outputting the instructions received from the model.