Warehouse Task Sequencing for Dynamic Plan Changes and Priorities
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Solution Overview
Problem
Existing warehouse management systems struggle to efficiently implement updates or changes to warehouse plans, leading to inefficient and disruptive warehouse operations due to complex changes that are often ad-hoc and difficult for workers to understand.
Innovation Solution
A system that automatically detects changes in warehouse plans and execution, generates dynamic tasks, determines task priority, and schedules them efficiently, using ensembled techniques to enhance warehouse task execution and compliance with supply chain networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If warehouse plans are updated frequently to respond to changing conditions, then adaptability is improved, but device complexity and difficulty of implementation increase
Solution Approach 1:
The patent segments warehouse plan changes into discrete, manageable tasks with specific priorities and sequences. Each change is broken down into individual task cards that can be independently managed and assigned, reducing the complexity of implementing frequent plan updates while maintaining adaptability to changing warehouse conditions.
Solution Approach 2:
The system dynamically adjusts task priorities and sequences based on real-time warehouse conditions and plan changes. The dynamic task sequencing engine continuously optimizes the order of tasks based on current priorities, making the system adaptable to frequent changes without increasing operational complexity through automated resequencing.
2Speed
If ad-hoc changes are implemented quickly, then responsiveness is improved, but productivity and operational efficiency decrease
Solution Approach 1:
The system performs preliminary analysis of plan changes and pre-sequences tasks before implementation. By analyzing the impact of proposed changes and pre-determining optimal task sequences in advance, the system enables quick responsiveness to changes while maintaining productivity through structured, pre-planned execution rather than ad-hoc implementation.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor task execution and plan changes in real-time. This feedback loop allows the system to quickly respond to new conditions by adjusting task sequences based on actual execution data, maintaining both responsiveness to changes and overall operational efficiency through continuous optimization.
3Reliability
If workers are provided with detailed change information, then understanding and compliance are improved, but the complexity of communication and training increases
Solution Approach 1:
The patent segments detailed change information into discrete, visual task cards that present information in manageable chunks. Each task card displays specific instructions, priorities, and sequences in a simplified format, improving worker understanding and compliance while reducing communication complexity by presenting information in standardized, easy-to-process units rather than complex detailed documents.
Solution Approach 2:
The system acts as an intermediary between plan changes and worker execution. It translates complex plan changes into simplified task instructions through the task sequencing engine, which mediates between the detailed planning phase and the execution phase by presenting workers with clear, prioritized task lists rather than complex change documentation.
4Adaptability or versatility
If manual analysis of plan changes is performed, then flexibility is improved, but time consumption and labor requirements increase
Solution Approach 1:
The system performs self-service analysis of plan changes through automated detection and sequencing. The task sequencing engine automatically analyzes the impact of plan changes, determines affected tasks, and generates updated sequences without requiring manual analysis, thereby maintaining flexibility in responding to changes while significantly reducing time consumption and labor requirements.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational algorithms. The task sequencing engine uses computer-based algorithms to analyze plan changes, calculate task impacts, and generate optimized sequences, substituting manual analysis with automated systems that maintain flexibility while reducing time consumption and human labor.
Data Source
AI summary
A system and method are disclosed for generating and scheduling warehouse tasks. The method includes identifying changes in a warehouse plan for a warehouse within a supply chain network, generating tasks based on the identified changes, determining a task priority of the generated tasks, generating a task schedule based on the determined task priority, and monitoring real time execution of the generated tasks according to the task schedule. The method further includes performing, in real time, dynamic re-sequencing and dynamic re-scheduling to account for a deviation from the schedule and detecting, in real time, an error and transmitting, in real time, one or more tasks to a mobile device to account for the detected error.