SEMI FINAL | BUSINESS CASE - BCS 08
Submission BCS 08
NMO Season 3
MIS Reporting Tools and UX mockups for Airway Delivery
Submission Date & Time : 2021-03-14 10:58:54
Submitted By : Arijit Goswami - From Team Edison
Let’s look at the IT infrastructure from three lenses – Drone Delivery Process, Regulatory infrastructure requirements and MIS Reporting Tools.
Drone Delivery Process – Technical Understanding
- Customer books order for delivery using an Airway Delivery mobile app, which requires entering the pickup location and drop location, and the pickup time, and then paying using UPI
- The order management system checks which URL has the customer come from, by checking the Urchin tracking Module (UTM)
- This gives insight on whether the customer has come from a social media campaign or organically through website/app – updated on “Marketing” MIS Sheet
- The recipients of the packages get a notification, where they need to confirm if they will be available for receiving the packages – if yes, then they get a QR code
- Whatever orders Airway Delivery receives over a 30-minute period, they will be segregated as per geographical zones
- Next, the drop locations of those orders will be arranged in a sequence decided by the Route Optimization Engine, based on Traveling Salesman Algorithm
- Subsequently, the pickup locations will be arranged in a sequence that is reverse of the drop location sequence, so that the drone collects up the items in a stack, not in a queue
- The drone takes flight and during transit, all the parameters (speed, altitude, location, etc.) are tracked live in the “Drone Live Status” MIS Tool – it flies using cameras for visual analysis and obstacle avoidance algorithms on a specified route
- Any deviation from the SLAs trigger an alert and the backend operator can take manual control of the drone to bring it on the desired course
- Drone reaches the first recipient and descends on the window/doorstep
- The receiver of the package scans the QR code from his mobile phone on the QR scanner mounted on the drone
- The bottom-most package in the queue – the one associated with the QR code – is released and the drone leaves
- “Delivery” MIS Sheet is updated in real-time
- Receiver and Customer give feedback, which is updated on “Customer Analysis” MIS Sheet, along with time taken to reach the drop location and any issues faced on the way
Exception handling
- If the drone malfunctions on the way, then two spare drones will be dispatched immediately – one for taking the packages to destinations, and the other to bring the damaged drone back
- If a recipient is unavailable at the address even after confirming his/her availability on the app, then his/her package will be dropped at the next drop location and the recipient will be responsible for collecting his/her box from that other drop location – this will be made clear in the Terms and Conditions
- If the drone’s package releasing functionality malfunctions and more packages are accidently dropped, this will trigger an alert and the operator/support staff will be deployed to ship the items to doorstep of the correct recipients
- If the drone fails to release a package to a recipient, similar alert mechanism will be triggered and the same process as point# 3 will be executed
Regulatory Technology Infrastructure Deployment
- Speed limits: The regulatory draft has set up a maximum speed limit for drones at 15 metres/second
- Altitude: The drones are only allowed to fly at a maximum height of 15 meters and within the range of 100 meters from the remote pilot
- Geofencing: Drones can fly only up to an altitude of 121.92 metres and cannot enter restricted airspace.
- Other device installations:
- GNSS for horizontal and vertical position fixing
- Autonomous Flight Termination System or Return Home (RH) option
- Flashing anti-collision strobe lights
- RFID and GSM SIM Card/ NPNT compliant for APP based real time tracking
- Fire resistant identification plate inscribed with UIN
- Flight controller with flight data logging capability
- Barometric equipment with capability for remote sub-scale setting
- Detect and Avoid capability
- SSR transponder (Mode ‘C’ or ‘S’) or ADS-B OUT equipment
MIS Reporting
- Deliveries Planned vs Fulfilled: The number of bookings fulfilled on a particular day will be compared against the total bookings received, to give insights into how well the operators are working and if drone capacity must be increased
- Expected Delivery Time vs Actual Time Taken: This will provide insights into how well Airway Delivery is meeting its commitments of on-time delivery and if customers are getting the best ROIs
- Time to Service vs Time between Orders: This MIS shall provide insights into how fast we are servicing customers and how frequently they are ordering – it gives insights into whether the customers who face delays are showing decline in orders or not, and thus Marketing team can target them with special offers
- Average Time taken to service pin-codes: The data can show which areas are readily serviceable and which areas lead to highest turnaround times – so that the Finance department can customize the pricing options for each pin-code based on how much energy is spent on drones for servicing customers there
- Average rating vs Total orders: The customer-related data shows which customers are happy with our service, and if they are placing more orders than those who are dissatisfied with the drone services
- Drone Live Status: Each health parameter of drone, especially its speed and altitude, will be monitored closely on per-second basis in a live tracking MIS sheet for regulatory compliance purposes
Management principles:
We are targeting the seven wastes of operations management, viz. overproduction, inventory, motion, defects, over-processing, waiting, and transport
- Drone traceability and route optimization for last-mile delivery
- Automation and Centralization of reporting
- Transparency in scalar chain
- Omni-channel marketing strategy
- “Unity of command” and “unified direction” through unified reporting
- Sustainability and eco-friendliness by reducing fuel spending on delivery vehicles
Comments
Participant
Arijit Goswami
Capgemini, Senior Manager
IIMK alumnus by qualification, Project Manager by profession, tech blogger by passion.
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