Subject category:
Production and Operations Management
Published in:
2024
Length: 2 pages
Data source: Generalised experience
Topics:
Fleet Assignment; Supply chain analytics
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Abstract
This is part of a case series. This case deals with the fleet assignment challenges faced by Aisha Deshmukh, the Operations Manager of Royal Home-Food, a home-cooked food delivery start-up based out of Hyderabad, India. While keeping the operating cost low is beneficial for the bottom lines, penalty cost of unfilled deliveries has severe implications on the top-line of Royal Home-Food. Deshmukh works out a MILP based optimization model to find the optimum allocation of her fleet of vehicles to customer zones. However, she realizes that even though she has an optimum solution, she is not able to reduce the penalty costs and revenue losses to zero. The main reason attributed to this is the limited vehicle capacity. She has to evaluate capacity expansion choices and associated financial implications.
Teaching and learning
This item is suitable for postgraduate and executive education courses.Time period
The events covered by this case took place in 2020.Geographical setting
Region:
Asia
Country:
India
Location:
Hyderabad, Telangana
Featured company
Royal Home-Food
Employees:
11-50
Turnover:
INR 5,000,000
Type:
Self-owned
Industry:
Food-Delivery
Other keywords:
Supply Chain Analytics; Fleet Allocation Problem; Mixed Integer Linear Programming; Optimization
Featured protagonist
- Aisha Deshmukh (female), Operations Manager
About
Abstract
This is part of a case series. This case deals with the fleet assignment challenges faced by Aisha Deshmukh, the Operations Manager of Royal Home-Food, a home-cooked food delivery start-up based out of Hyderabad, India. While keeping the operating cost low is beneficial for the bottom lines, penalty cost of unfilled deliveries has severe implications on the top-line of Royal Home-Food. Deshmukh works out a MILP based optimization model to find the optimum allocation of her fleet of vehicles to customer zones. However, she realizes that even though she has an optimum solution, she is not able to reduce the penalty costs and revenue losses to zero. The main reason attributed to this is the limited vehicle capacity. She has to evaluate capacity expansion choices and associated financial implications.
Teaching and learning
This item is suitable for postgraduate and executive education courses.Settings
Time period
The events covered by this case took place in 2020.Geographical setting
Region:
Asia
Country:
India
Location:
Hyderabad, Telangana
Featured company
Royal Home-Food
Employees:
11-50
Turnover:
INR 5,000,000
Type:
Self-owned
Industry:
Food-Delivery
Other keywords:
Supply Chain Analytics; Fleet Allocation Problem; Mixed Integer Linear Programming; Optimization
Featured protagonist
- Aisha Deshmukh (female), Operations Manager