Embedded Files
Problem Statements
Problem Statements
The robot shall efficiently deliver transport goods between locations
Obstacles shall be sensed and avoided to prevent interruptions to the delivery
The system shall implement a continuous IoT connection to keep the customer updated
The robot shall be accurately tracked and located
Problem Analysis Diagrams
Problem Analysis Diagrams
Dunker Diagram
Dunker Diagram
Kepner-Tregoe Situation Analysis
Kepner-Tregoe Situation Analysis
Timing:
Timing is of low concern, as current delivery systems are not expected to fail
However, implementing this system would help improve reliability and lower delivery costs,
Trend:
The issue is occurring more frequently in urban areas and during peak hours, especially in preparation for events and holidays
Customers generally don't like picking up an item, so making deliveries more accessible would increase the amount of deliveries
Impact:
High concern - It affects customer satisfaction, delays deliveries, and increases costs
Improving reliability and lowering costs would bring more customers to the service and help increase profits
Order of Actions:
Develop routing algorithm to plan delivery path
Customers depend on fast deliveries, so this is a priority
Implement continuous GPS monitoring to routing
Locating the robot, and the packages, is important to keep track of delivery progress
Create robot body and collision avoidance software
Preventing damage to both the robot and the package are top priorities
Since routing is necessary to begin a delivery, it must be completed first or at the same time
Add IoT connections for real-time updates
Wireless updates are only important once the robot is able to reliably make deliveries, so this is a low priority
However, keeping the customer informed is very important, and is still a necessary component to this system
Kepner-Tregoe Problem Analysis
Kepner-Tregoe Problem Analysis
What?
Delivering packages in urban areas may be a challenge. Tall buildings and narrow streets may interfere with GPS signals.
Obstacle detection must be accurate enough to prevent collisions in order to ensure smooth deliveries.
When?
The problems are most likely to occur during busy hours when streets are crowded.
The robot will need to perform well under these conditions to stay efficient.
It will be important to test and improve the system before peak delivery seasons to avoid delays.
Who?
We will need to refine the robot’s technology to solve these issues.
Companies, who will use the robot, will rely on its performance.
Customers may also be affected if the robot cannot deliver packages on time.
Where?
Most issues will happen in cities where GPS signals can be weak and traffic is unpredictable.
In open areas, the robot is expected to perform better.
Why?
If these issues are not addressed, delivery times may slow down, which could frustrate customers and reduce efficiency.
We need to ensure that navigation is smooth and that the robot can avoid obstacles accurately.
How?
To improve performance, we can develop AI-based route optimization and advanced obstacle detection. (just an idea)
Testing in different environments will help us refine the system.
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