Distributed Scheduling for Personalized Medicine Supply Chains

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Solution Overview

Problem

Current scheduling technologies in the personalized medicine industry are inflexible and unable to accurately capture complex scheduling requirements, leading to scheduling conflicts, errors, and inefficiencies due to manual processes and outdated assumptions about transportation times and resource availability.

Innovation Solution

A cloud-based distributed scheduling system that uses machine learning and blockchain technology to optimize scheduling operations, integrate data from multiple sources, and provide real-time insights for stakeholder coordination, resource management, and capacity optimization across the personalized medicine supply chain.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual scheduling processes are used, then ease of operation is maintained, but scheduling accuracy and reliability deteriorate due to errors and conflicts

Engineering Contradiction:

Improvescheduling accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical scheduling processes with an automated computer-based scheduling system that uses algorithms to generate, optimize, and adjust schedules automatically, eliminating human error while maintaining operational simplicity through user-friendly interfaces

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The scheduling system performs self-optimization by automatically detecting conflicts, adjusting schedules, and reallocating resources without requiring manual intervention, thereby improving accuracy while reducing the operational burden on users

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If fixed assumptions about transportation times and resource availability are used, then ease of operation is improved, but adaptability deteriorates when changes occur in the supply chain

Engineering Contradiction:

Improvesupply chain flexibilityVSAvoidscheduling operation simplicity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent implements dynamic scheduling that automatically adjusts to changing conditions in real-time, allowing the system to adapt to supply chain variations, resource availability changes, and transportation delays while maintaining operational simplicity through automated decision-making

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system continuously monitors supply chain status, resource availability, and schedule performance, using this feedback to automatically adjust schedules and allocations, thereby improving adaptability while keeping the operation simple through closed-loop control

Inventive Principle:

Principle #23Feedback

3Productivity

If centralized scheduling is used, then coordination efficiency is improved, but loss of time increases due to transportation and communication delays across distributed sites

Engineering Contradiction:

Improvecoordination efficiencyVSAvoidscheduling delay

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent divides the centralized scheduling system into distributed regional scheduling nodes that operate autonomously within their regions while maintaining coordination through standardized interfaces, reducing communication delays while preserving coordination efficiency through modular architecture

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system pre-calculates and stores optimized schedules and resource allocations in advance, allowing rapid deployment and minimal adjustment time when implementing schedules across distributed sites, thereby reducing time loss while maintaining coordination efficiency

Inventive Principle:

Principle #10Preliminary action

4Manufacturing precision

If outdated scheduling technologies are used, then device complexity is reduced, but manufacturing precision deteriorates in capturing complex scheduling requirements

Engineering Contradiction:

Improvescheduling requirement accuracyVSAvoidscheduling system complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent replaces outdated manual scheduling methods with modern computer-based algorithms and software systems that can accurately capture and process complex scheduling requirements, multi-constraint optimization, and resource allocation rules while presenting simplified user interfaces

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20210280287A1Capacity optimization across distributed manufacturing systems

Publication Date: 2021.09.09 JANSSEN BIOTECH INC

AI summary

The subject disclosure relates to systems, devices, and methods for executing operations related to executing a series of dependent scheduling operations associated with an individualized medicine supply chain and distributed scheduling systems. Also disclosed are system, method, and device embodiments for optimizing capacity of executable operations associated with producing an individualized therapeutic medicine.