Aerosol System Article Replacement Automation
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Solution Overview
Problem
Users of aerosol provision systems, such as e-cigarettes, face challenges in determining when to replace articles and acquiring suitable replacements, especially when the aerosol-generating material is exhausted in remote locations.
Innovation Solution
A computer-implemented method that determines when an article needs to be replaced and automatically transmits a request for stock information to vendors. Based on the received stock information, the method calculates the optimal time to place an order, considering lead times and user preferences, and sends the order to the selected vendor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually monitor and replace articles, then they can control replacement timing, but users experience difficulty determining when replacement is needed and face inconvenience in remote locations
Solution Approach 1:
The system enables self-service by automatically monitoring article stock status through communication with the aerosol provision system and autonomously placing replacement orders without requiring user intervention. The computing device continuously checks article levels, compares them against threshold values, and initiates ordering processes automatically, eliminating the need for users to manually monitor or purchase replacement articles.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring article stock status through communication between the computing device and aerosol provision system, receiving real-time information about article levels, and using this feedback to trigger automatic ordering actions when thresholds are breached. This closed-loop feedback ensures users are always informed of their article status and automatically recharged.
2Loss of time
If users manually purchase replacement articles, then they can select vendors and timing, but users experience time loss and inconvenience especially in remote locations
Solution Approach 1:
The system performs preliminary actions by proactively monitoring article stock status and placing replacement orders before articles are completely depleted. The computing device continuously checks article levels and initiates ordering processes in advance, ensuring replacement articles are ordered before the user experiences any shortage or inconvenience, thereby eliminating last-minute rushes and time loss.
Solution Approach 2:
The system enables self-service by automatically handling the entire article replacement process including vendor selection, order placement, and timing calculations without requiring user intervention. The computing device autonomously evaluates stock status, compares vendor options, calculates optimal ordering times based on lead times, and places orders automatically, eliminating all manual steps and time loss associated with traditional manual purchasing.
3Extent of automation
If the system automatically monitors and orders articles, then users benefit from automated replacement, but the system complexity increases
Solution Approach 1:
The system achieves multi-functionality by having the computing device perform multiple tasks: monitoring article stock status, receiving communication from the aerosol provision system, evaluating article levels against thresholds, calculating replacement timing based on lead times, selecting vendors, and placing orders. By consolidating these diverse functions into a single computing device, the system achieves high automation while avoiding the complexity of multiple separate systems.
Solution Approach 2:
The computing device serves as an intermediary between the user and the aerosol provision system, handling all automated monitoring and ordering functions. This intermediary role allows the system to achieve automation without requiring direct complex integration between all system components, as the computing device mediates communications and coordinates operations, simplifying the overall system architecture.
4Reliability
If the system calculates optimal ordering time based on lead time, then users receive articles timely, but the system requires real-time stock information from vendors
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring vendor stock information and using this real-time data to calculate optimal ordering times. The computing device receives stock status updates from vendors, compares these against lead time parameters, and adjusts ordering timing accordingly. This feedback loop ensures reliable delivery by base ordering decisions on actual real-time vendor availability rather than assumptions.
Solution Approach 2:
The system performs preliminary actions by proactively obtaining and analyzing vendor stock information before placing orders. The computing device continuously queries vendor availability status and uses this advance information to calculate optimal ordering windows, ensuring that orders are placed at the precise moment when articles will be available. This preliminary monitoring and calculation ensures reliable timely delivery without requiring last-minute decisions.
Data Source
AI summary
A computer implemented method comprises transmitting a request for stock information to one or more vendors of articles for an aerosol provision system in response to determining that an article for the aerosol provision system needs to be replaced. An order for one or more articles is determined based on the stock information received from the one or more vendors. The order comprises a selection of one of the one or more vendors, a number of articles to be purchased and a time for placing the order. The time for placing the order is calculated based on a lead time for delivering the number of the articles derived from the received stock information. The order is transmitted to the selected vendor at the time for placing the order.