This paper is published in Volume-7, Issue-5, 2021
Area
Operations Research
Author
Ananya Shetty, Aman Sharma, Archit Khedekar, Arpan Mundra, Aryaman Goswami
Org/Univ
SVKM’s Narsee Monjee Institute of Management Studies, Mumbai, Maharashtra, India
Pub. Date
11 October, 2021
Paper ID
V7I5-1326
Publisher
Keywords
Hyper-Local Delivery Industry, Operations Research Application, Assignment Problem

Citationsacebook

IEEE
Ananya Shetty, Aman Sharma, Archit Khedekar, Arpan Mundra, Aryaman Goswami. Analyzing the hyperlocal delivery business model using operations research techniques, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ananya Shetty, Aman Sharma, Archit Khedekar, Arpan Mundra, Aryaman Goswami (2021). Analyzing the hyperlocal delivery business model using operations research techniques. International Journal of Advance Research, Ideas and Innovations in Technology, 7(5) www.IJARIIT.com.

MLA
Ananya Shetty, Aman Sharma, Archit Khedekar, Arpan Mundra, Aryaman Goswami. "Analyzing the hyperlocal delivery business model using operations research techniques." International Journal of Advance Research, Ideas and Innovations in Technology 7.5 (2021). www.IJARIIT.com.

Abstract

The hyper-local delivery industry is on the rise in India due to firms trying to capture the biggest share in the market by promising the fastest delivery in the industry. Through this research paper, we have tried to analyze the impact of the Assignment problem in a way to increase employee efficiency and optimize business operations via time minimization. With the use of these tools, companies can optimize their delivery time which they could have overlooked due to human error. After going through different research we came to the conclusion that they address the problem by taking only one constraint into account, so to counter this we came up with a solution using multiple constraints that are actually faced by companies. Our findings demonstrate that operations research methodologies can assist hyper-local delivery platforms in making decisions about how to assign their employees to pick up or drop the package in the least amount of time possible.