7th North American International Conference on Industrial Engineering and Operations Management

Development of a Forecasting Tool to Address High Percentage of Breach in Delivery Times in a Local Food Delivery Service

Tomas Gabriel Domingo, Noah Hermogenes, Nikko Yuag & Carlos Ignacio Lugay
Publisher: IEOM Society International
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Track: Service Systems and Management

Online Food Delivery Services (FDS) have increased in popularity in the past few years. Timely delivery of food is crucial as it affects the quality of food and customer attitude towards the service. This study aims to address the orders that fail to deliver within the target lead time (breach orders) due to the non-optimal assignment of riders. This study proposes a method for determining the riders to assign per area from the demand through a simple forecasting tool.
Current studies have already identified the factors that contribute to rider output. This study analyzes these factors to make a formula to calculate the rider output. In addition, the researchers will investigate the effect of new products and seasonal promotions on demand through a review and statistical analysis of historical data. This study contributes simple program that calculates the number of riders to assign based on user input.


Keywords
Food Delivery Service, Delivery Riders, Demand, Breach Orders and Forecasting

Published in: 7th North American International Conference on Industrial Engineering and Operations Management, Orlando, USA

Publisher: IEOM Society International
Date of Conference: June 11-14, 2022

ISBN: 978-1-7923-9158-3
ISSN/E-ISSN: 2169-8767