Difference between revisions of "ParcFinder Proposal"

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Revision as of 17:16, 14 March 2018

PARCFINDER logo .png

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PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER


Project Background

With the expansion of E-Commerce in Singapore, there is a growing demand for the provision of effective logistical services to facilitate the delivery and receiving of goods and services to consumers. As we analysed the entire customer experience journey in the e-commerce industry, we realised that there is a gap in the service delivery process in the event of a missed delivery. A study by the NUS Logistics Institute - Asia Pacific shows that delivery failure rates hover at more than 15%.


2018-03-06 16.13.54.jpg


Traditionally, customers who missed a delivery from their logistics providers are redirected either to the post office to collect their parcels. They could also be required to make a call to their logistics providers and rescheduling for a redelivery, and at times required to pay an additional fee for the services. As for the logistics providers, carrying out redeliveries incurs additional operational costs in terms of man-hours and resources.


Motivation

Our group aims to address the issue of missed deliveries that occur in the delivery process. In our opinion, the redelivery/missed parcel collection process should be improved such that consumers are not required to go through the additional hassle and incurring additional costs of collecting their missed parcels, and logistics providers can ensure that their customers get their parcels without any additional incurring of operational costs.

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Methods

  • Conceptualisation of Idea
    • Use of SingPost POPStations to address failed deliveries
    • Benefits: Accessibility, Collection can be done 24/7
  • Analysis of Project Data
    • Location of existing SingPost POPStations islandwide
    • Location of Ezbuy collection points
    • Analysis: Determine the situation of POPStations as collection points, through the use of Buffer Analysis + Hub Lines
  • Map and Application Development

To determine the existing locations of SingPost POPStations To analyse which areas to introduce more POPStations/removal of POPStations To guide SingPost Postman to the designated POPStation in the event of a failed delivery through the use of Hansen’s Potential Model


Project Data Sources

Title

Format

Website Link / Sources

Singapore Population Data

SHP

data.gov.sg

Singapore Map Layer (MP14 Subzone/Planned Region)

SHP

Open Street Map

Singapore Post Office

Unformatted

https://www.singpost.com/list-of-post-offices

POPStation

Unformatted

https://www.mypopstation.com/locations

EzBuy Collection Stations

Unformatted

https://ezbuy.sg/Help/QuickGuide#Delivery

Project Timeline and Task Allocation

  • Week 2- Formulation of Project idea
    • Brainstorm Project Ideas (All)
    • Consultation with Prof. Kam for feedback (All)
    • Drafting of proposal after consultation (All)
  • Week 3 - Formulation of project idea
    • Consultation with Prof. Kam for feedback (All)
    • Idea Finalization after consultation (All)
  • Week 4 - Preparation
    • Search dataset (Zhi Hui, Shu Yan)
    • Development of project ideas (Aaron)
    • Look into potential tools (All)
    • Creation of Wiki Page (Aaron, Shu Yan)
  • Week 5- Preparation
    • Download / Compile dataset (Zhi Hui)
    • Generation of story ideas (Aaron, Shu Yan)
    • Wiki Content update (Aaron, Shu Yan)
    • Data cleaning (Zhi Hui)
  • Week 6 -
    • Development of story board (Aaron)
    • Compile Dataset (Zhi Hui)
    • Independent learning of R and R Shiny (All)
    • Updating Milestone (All)
    • Research on tools for data conversion (Zhi Hui, Shu Yan)
  • Week 7 -
    • Write PHP Script to convert data (Shu Yan)
    • Wiki Content Update (Aaron, Shu Yan)
  • Week 8 -
    • Data Conversion (Shu Yan)
    • Consolidate data (All)
    • Preparation for Interim (Aaronn)
    • Convert data to SHP file (Zhi Hui)
    • Interim Presentation Preparation (All)
  • Week 9-
    • Interim Presentation with Prof Kam (All)
    • Convert data to SHP File (Zhi Hui)
  • Week 10- Map Development
    • Finish up R Shiny Assignment on DataCamp (All)
    • Finish up remaining assignments on DataCamp (All)
    • Interface development (All)
  • Week 11-
    • Map Development (All)
    • Starting on project poster and report (All)
  • Week 12-
    • Debugging and Analysis (Shu Yan)
    • Deployment to Webserver (Zhi Hui)
    • Map testing and debugging (All)
    • Update of Project research paper and poster (All)
    • Wiki Content update (Aaron, Shu Yan)
  • Week 13-
    • Poster Design (Aaron)
    • Report draft (All)
  • Week 14
    • Townhall Poster Presentation (All)
    • Updating of Project Wiki Page (Aaron and Shu Yan)
  • Weeks 15 and 16
    • Submission of Research Paper (All)
    • Submission of Project Wiki (All)


Project Milestones

ParcFinder Milestones.png


Project Key Challenges

Data Cleaning and Transformation

  • Data retrieved not available in KML/SHP/XML format
    • Team effort to convert to SHP format
    • Documentation to keep track of changes.
  • Data (longitude and latitude) not provided
    • Write script to transform postal codes
    • For postal codes that wasn't able to transform using the script, manually retrieve longitude and latitude from Google Map

Project ParcFinder Members

Aaron Ching Kwun Hin

Chien Shu Yan

Lee Zhi Hui


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