Task Execution Sequence Optimization via Matrix Adjustment

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Solution Overview

Problem

Current engineering project planning relies heavily on personal experience and often employs a 'guess and estimate' approach, leading to overlooked task dependencies and complex, dynamic conflicts that result in time and cost inefficiencies due to the lack of systematic theoretical guidance.

Innovation Solution

A task processing method that involves acquiring and matching task conditions to establish a task association table, generating an initial execution sequence, and adjusting it to achieve a preset format, such as a minimum block matrix or lower triangular matrix, to optimize task sequencing and planning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If personal experience and guess and estimate approach are used for task planning, then planning process is simple and fast, but task dependencies are overlooked and planning precision deteriorates

Engineering Contradiction:

Improveplanning efficiencyVSAvoidtask dependency identification accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent replaces the manual, experience-based mechanical planning process with an automated computer-based system that uses algorithms to automatically identify task dependencies and generate execution sequences, thereby eliminating the need for guesswork while maintaining planning efficiency

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically analyzing task conditions and generating optimized execution sequences without requiring expert intervention, allowing the planning system to serve itself through automated dependency detection and sequence optimization

Inventive Principle:

Principle #25Self-service

2Device complexity

If task execution sequence is not optimized, then planning process is simple, but time waste and cost increase during execution

Engineering Contradiction:

Improveplanning process complexityVSAvoidexecution time waste

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by optimizing the task execution sequence before actual execution begins. The system analyzes all task dependencies and conditions in advance to determine the optimal execution order, preventing time waste and conflicts during the actual execution phase

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback mechanisms by continuously evaluating task completion status and adjusting the execution sequence accordingly. The computer system monitors execution progress and provides feedback to optimize subsequent task scheduling, reducing time waste through dynamic adaptation

Inventive Principle:

Principle #23Feedback

3Measurement precision

If systematic theoretical guidance is introduced for planning management, then task dependency identification accuracy improves, but planning process complexity increases

Engineering Contradiction:

Improvetask dependency identification accuracyVSAvoidplanning process complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex manual analysis with automated computer-based algorithms that systematically evaluate task dependencies. The computer system handles the complexity of systematic theoretical guidance through automated processing, maintaining high accuracy while reducing the perceived complexity for users

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The computer system acts as an intermediary between the complex theoretical planning models and the user. It translates complex dependency relationships into clear, actionable execution sequences, maintaining systematic accuracy while simplifying the interface and process for end users

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12093725B2Task processing method, equipment, storage medium and device

Publication Date: 2024.09.17 CHONGQING UNIV

AI summary

Disclosed are a task processing method, equipment, storage medium and device. The method includes: acquiring associated conditions of target tasks, and matching the associated conditions with the target tasks to obtain a matching result; establishing a task association table among the target tasks according to the matching result; acquiring an initial execution sequence of the target tasks, and generating a task matrix according to the initial execution sequence and the task association table; in a determination that the task matrix is not in a preset format, adjusting the initial execution sequence until a task matrix obtained according to the task association table and an adjusted execution sequence meets the preset format, and taking the adjusted execution sequence as a target execution sequence; and taking the target execution sequence as a task planning scheme of the target tasks.