Production Management System for Concrete Quality Control
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Solution Overview
Problem
In various industries, such as food manufacturing and ready mix concrete, products often deviate from their intended specifications due to component unavailability, human error, or unforeseen changes during production and shipping, leading to quality and cost control issues.
Innovation Solution
A production management system that integrates sales, purchasing, manufacturing, and shipping through a single master database to monitor and control costs and quality in real-time, with alerts for deviations and comparative statistical analysis across production facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single master database is used to integrate sales, purchasing, manufacturing, and shipping systems, then real-time quality and cost control is improved, but device complexity increases
Solution Approach 1:
The patent merges sales, purchasing, manufacturing, and shipping systems into a single integrated master database that consolidates all production data. This allows real-time monitoring and control of quality and cost across all operations, resolving the contradiction by combining previously separate systems into one unified platform.
Solution Approach 2:
The master database serves multiple functions simultaneously: it tracks formulations, monitors production variations, controls costs, ensures quality standards, and provides comparative analysis across facilities. This multi-functionality improves reliability while managing complexity through a single versatile system.
2Productivity
If comparative statistical analysis is implemented across multiple production facilities, then productivity is improved through benchmarking, but device complexity increases due to additional monitoring requirements
Solution Approach 1:
The system implements feedback loops that continuously collect production data from multiple facilities, compare performance against benchmarks, and provide actionable insights. This feedback mechanism drives productivity improvements by enabling data-driven decision making while managing complexity through automated comparison algorithms.
Solution Approach 2:
The patent segments production data by facility, batch, and formulation type, allowing comparative analysis without requiring a single monolithic monitoring system. This segmentation enables targeted benchmarking and efficiency improvements at each facility while reducing overall system complexity through modular data organization.
3Manufacturing precision
If real-time monitoring of production variations is implemented, then manufacturing precision is improved, but loss of information increases due to extensive data collection requirements
Solution Approach 1:
The system extracts only the critical data elements necessary for monitoring formulation consistency and production variations, rather than collecting all possible data. This selective extraction maintains manufacturing precision by focusing on key parameters while reducing data management overhead by eliminating unnecessary information collection.
Data Source
AI summary
For each of a plurality of production facilities, a series of operations is performed. For each of a plurality of batches of a concrete mixture produced at the respective production facility based on a formulation, a first difference between a measured quantity of cementitious and a first quantity specified in the formulation is determined. A first standard deviation is determined based on the first differences. For each of the plurality of batches, a second difference between a measured quantity of water and a second quantity specified in the formulation is determined. A second standard deviation is determined based on the second differences. A first benchmark is selected from among the first standard deviations, and a second benchmark is selected from among the second standard deviations. An amount by which costs may be reduced by improving production at the production facility to meet the first and second benchmarks is determined.