Forecasting the power generation requirement for Duke Energy Corporation

Application Area: 

Project Details

Term: 

2017

Students: 

Adhyan Anand, Uday Kumar Susarapu, Raveesh Vyas, Mugdha Dhavalikar, Shyam Chandra Gudla, Reuben John

University: 

ISB

Presentation: 

Report: 

This document outlines the procedure for forecasting the future power generation requirements from
various fuel sources. Our client is Duke Corporation, who has a current market share of 4.01% in U.S. It
uses three major sources of power generation-coal, nuclear and natural gas. Duke Corporation wants to
understand the future power generation requirements. Our business objective is to estimate capacity
requirements for Duke Corporation in the next year, by forecasting demand of power generation by

Forecasting daily maximum Carbon Monoxide level for an event management firm

Application Area: 

Project Details

Term: 

2017

Students: 

Ankush Chetwani, Bharathi Rajan Muthu Krishnan, Surya Ramkumar, Shravanan Rudrapathy, Vaishnavi Gurusamy

University: 

ISB

Presentation: 

Report: 

Business Objective
Considering the increasing pollution levels in the city and its harmful effects on kid’s health, an event
management firm has decided to conduct outdoor events only when Carbon monoxide levels are within
3ppm to 9ppm. For this, they need a model to know the expected daily maximum level of Carbon
Monoxide (CO) one week in advance.

Improve capacity utilization planning for Maruti by forecasting future demand

Application Area: 

Project Details

Term: 

2017

Students: 

Kumar Mukul, Anuj Kumar, Ritesh S Rao, Mihirr Sose, Liza Mohanty, Hridhay Rajkumar

University: 

ISB

Presentation: 

Report: 

Problem description
Improve capacity utilization of Maruti’s Manesar and Gurgaon plants by forecasting
future demand of Maruti cars and hence scheduling production.
Maruti has 2 manufacturing plants at Manesar and Gurgaon. Manesar plant has a capacity of
550k and Gurgaon plant has a capacity of 900k as of 2016. The production numbers for 2016
shows that Manesar plant produced 630k cars suggesting overtime at the plant, whereas
Gurgaon plant produced 678k cars only suggesting underutilization.

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