Loading Area Arrival Scheduling to Prevent Machine Congestion
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Solution Overview
Problem
Existing systems fail to efficiently manage the arrival times of machines at a worksite loading area, leading to congestion and inefficiencies, as machines often arrive simultaneously or in close proximity, causing idling and reduced productivity.
Innovation Solution
A computing system determines an arrival time separation threshold and generates instructions for machines to arrive at staggered times, separated by a minimum period, based on machine status data and job information, to optimize operations and reduce congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machines are dispatched to deliver material without coordinated arrival time management, then machine utilization and delivery frequency are improved, but congestion at the loading area and machine idling time increase
Solution Approach 1:
The system dynamically adjusts machine dispatch timing based on real-time status data and predicted arrival times. The computing system continuously monitors machine locations, speeds, and operational states, then dynamically modifies dispatch instructions to achieve staggered arrivals, transforming a static scheduling approach into an adaptive dynamic control system that resolves the contradiction between maintaining high utilization and avoiding congestion.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where machine status data and arrival time predictions are continuously fed back to the computing system. Based on this feedback, the system generates updated dispatch instructions that adjust arrival times to be separated by at least the threshold duration, enabling continuous optimization that maintains productivity while eliminating idling time through coordinated arrival management.
2Productivity
If multiple machines are allowed to arrive at the loading area simultaneously or in close proximity, then loading operations can proceed continuously, but congestion increases and operational efficiency decreases
Solution Approach 1:
The system performs preliminary action by predicting machine arrival times before the machines actually arrive at the loading area. Using current status data and estimated travel times, the computing system proactively calculates predicted arrival times and generates dispatch instructions in advance that will result in staggered arrivals separated by at least the threshold duration, preventing congestion before it occurs rather than reacting to it.
Solution Approach 2:
The system dynamically adjusts dispatch timing to maintain continuous loading operations while preventing congestion. By continuously monitoring machine status and dynamically modifying arrival time targets, the system ensures that machines are dispatched at optimized intervals that keep the loading area operational without creating bottlenecks, adapting in real-time to changing conditions.
3Productivity
If machines are instructed to travel between specific locations based on material amounts, then delivery responsiveness is improved, but coordinated arrival time management is lacking
Solution Approach 1:
The computing system performs multiple functions within a single integrated platform: it monitors machine status data, predicts arrival times, determines optimal dispatch timing, and generates comprehensive instructions. This multi-functional approach consolidates what would otherwise require separate systems for each function, achieving coordinated arrival time management without proportionally increasing overall system complexity while maintaining delivery responsiveness.
Solution Approach 2:
The system utilizes existing machine status data and onboard communication capabilities to perform arrival time coordination. Rather than requiring additional specialized hardware or complex external control infrastructure, the system leverages data and communication channels already present in the machine fleet, achieving sophisticated coordination through intelligent processing of existing resources.
Data Source
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AI summary
A job at a worksite (106) can be performed by machines (104) that deliver material from a loading area (108) to various drop points (110) at the worksite (106). A computing system (102) can generate machine instructions (112) that cause machines (104) to arrive at the loading area (108) at staggered arrival times that are separated by at least an arrival time separation threshold (114). The computing system (102) can also adjust the arrival time separation threshold (114) over time, for instance due to changes to durations of time for individual machines (104) to perform operations within the loading area (108) autonomously or based on operator input (126).