Steelmaking Batching and Scheduling Optimization

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Solution Overview

Problem

Current steelmaking production scheduling methods rely on manual, subjective experiences, leading to simplified process constraints, incomplete data consideration, and lack of quantitative optimization, resulting in inefficient production, inventory imbalances, and suboptimal product quality.

Innovation Solution

A method of batching and scheduling for steelmaking production with plant-wide process consideration, involving a directed topological network, mathematical modeling, and multi-objective parallel iterative improvement strategies to optimize batch composition, assignment, and sequencing, ensuring even and punctual material distribution across equipment and time dimensions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual scheduling methods based on subjective experience are used, then the scheduling process is simple to implement, but the production efficiency is low and quantitative optimization cannot be achieved

Engineering Contradiction:
Improveproduction efficiencyVSAvoidscheduling system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical scheduling with an automated computer-based optimization system that uses mathematical models and algorithms to automatically generate batch compositions and scheduling plans, transforming subjective experience-based scheduling into objective quantitative optimization

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the scheduling approach from qualitative manual judgment to quantitative parameter-based optimization by establishing mathematical models that consider multiple parameters including equipment capacity, material properties, energy consumption, and production constraints simultaneously

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If manual scheduling with simplified constraints is used, then the scheduling process is easier to operate, but the manufacturing precision of batch composition and sequencing is insufficient

Engineering Contradiction:
Improvebatch composition precisionVSAvoidscheduling operation complexity
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The patent replaces manual scheduling operations with an automated computer system that precisely calculates batch compositions and sequencing based on mathematical models, eliminating human subjectivity and achieving high-precision optimization of batch parameters

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent incorporates feedback mechanisms where the optimization system continuously evaluates scheduling results against production constraints and objectives, automatically adjusting batch compositions and sequences to achieve precise manufacturing outcomes

Inventive Principle:
Principle #23Feedback

3Productivity

If comprehensive plant-wide process consideration is implemented, then the global production efficiency is improved, but the device complexity and data processing requirements increase significantly

Engineering Contradiction:
Improveglobal production efficiencyVSAvoidsystem structural complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex plant-wide scheduling problem into manageable components including batch composition optimization, batch assignment to equipment, and sequencing decisions, allowing systematic handling of large-scale optimization while maintaining global coordination

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a universal optimization framework that can handle multiple objectives simultaneously including production efficiency, energy consumption, material yield, and equipment utilization, making the system adaptable to various production scenarios without requiring separate specialized systems

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Measurement precision

If quantitative optimization models are used, then the measurement precision of production parameters is improved, but the difficulty of detecting and measuring increases

Engineering Contradiction:
Improveproduction parameter measurement precisionVSAvoiddata collection and processing difficulty
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent implements self-service mechanisms where the optimization system automatically collects, processes, and analyzes production data from various sources, reducing the manual burden of data detection and measurement while achieving high-precision parameter optimization

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10713399B2Method of batching and scheduling for steelmaking production with plant-wide process consideration
Publication Date: 2020.07.14 NORTHEASTERN UNIV CHINA
  • US10713399B2 patent drawing
  • US10713399B2 patent drawing
  • US10713399B2 patent drawing

AI summary

Provided is a method of batching and scheduling for steelmaking production with plant-wide process consideration, including the steps of: establishing a mathematical model for quantitatively describing the decision problem of batching on steelmaking and continuous casting procedures; starting from the production capacity balance between parallel equipment of the same procedure, and material flow convergence between upstream and downstream procedures, establishing a model for the assignment and sequencing of batches on continuous casting equipment and the time dimension; integrating the batching plan and the production scheduling scheme, issuing the batching plan and the production scheduling scheme integrated to all production and manufacturing units at the steelmaking stage. The present invention improves product quality, increases the material yield, resource utilization rate and equipment operation efficiency, realizes load balance on parallel equipment and smooth material linkage between serial equipment, and reduces the material flow transportation jam, downstream equipment waiting time and inventory.