Operations

Inventory Management through Sales Forecasting

Application Area: 

Project Details

Term: 

2017

Students: 

Anand Abhishek, Bharath Sankaran, Mayank Thapliyal, Rohan Chakraborty, Urvashi Surana Sunil, Varun Madnani

University: 

ISB

Presentation: 

Report: 

Problem Description: FMCG companies like Nestle face trouble in forecasting demand for smaller
regions which comprises nearly 50% of their business and is highly critical. This is due to high volatility in
demand. Due to this problem more often than not the sales force in these regions face a situation
wherein they are either short of inventory and unable to meet demand or have piled up inventory at
warehouses. A model that effectively forecasts sales can be tested on a small region (in this case

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.

Auto sales forecasting for production planning at Ford

Application Area: 

Project Details

Term: 

2017

Students: 

Abhishek Gore, Ajay Ballapale, Bhushan Goyal, Madhumitha Gaddam, Shekhar Sharma

University: 

ISB

Presentation: 

Report: 

Problem Description
Ford Motor Company deals with a product portfolio that consists of three subcategories namely
cars, light trucks and heavy trucks. The lead time for manufacturing planning of any subcategory
is 12 months. Hence they need a forecast of the total auto sales in the US market for the next 12
months on a monthly basis. Some examples of vehicles in each subcategory are shown in the
appendix. Both domestic sales and exports are to be forecasted.

Predicting upcoming movies’ box office revenue in Taiwan for theater management

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

Sam Wang, Sean Xie, Jenny Wang, Jessica Deng

University: 

NTHU

Presentation: 

Report: 

Our primary stakeholder is theater managers, an important role in theater who have to arrange released weeks and halls for each new movie. Therefore they have a potential need of knowing how new movies will perform on box office revenues. However, there’s a gap among the box office revenues in Taipei and in US and other movie features, and cause the prediction difficult. Hence, our business goal of this project is to allow managers knowing how new movies will perform on box office revenues in Taipei in advanced.

Identify books which are forever lost within NTHU Library

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

Cynthia Chen, Edward Song, Huynh Nhat To, Olive Chang

University: 

NTHU

Presentation: 

Report: 

Problem Description
In the library, it has been a hard time for librarians to decide whether to purchase the replacement for a book that has been reported missing since some books may be found not long after the replacements have been bought. On the other hand, it would be irritating for us as students if books we’re looking for have been report missing for a long time without replacements.

Predict box office revenue in China to maximize profits

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

Lee Tung-Yu, Chen Yi-Huan, Chen Yu-Fang, Jevon Mckenzie, Dimitri Cayard

University: 

NTHU

Presentation: 

Report: 

Business Problem:
This research is in an effort to increase the profits of movie theaters in China. It is with no doubt that
the movies which a theater decide to show differ in the revenue that they contribute. With that in mind,
this research aims to identify movies that are more likely to generate higher revenue because:
1. If the demand for a particular movie is too low in comparison to the supplied amount of
shows and venues, the movie theater will incur a loss.

Enhancing the Operation of 13 GOOD Market

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

I Chun Chao, Yi Chun Chuang, Sherry Wu, Chia Li Chien

University: 

NTHU

Presentation: 

Report: 

a. Market Introduction
Hsinchu 13 good market has been established in April, 2014, and opens every Saturday. Most of the customers are the households living nearby, so the market will hold events for family as well.
The market has their own promotion channel “Facebook fan page”. In January, 2016, the
accumulative page “likes” is up to 4,950 in over 1 years.
Since this is almost the most important and the only way to publish their news and
information to the customers. We wondering if there is any possible way to make good use

Forecasting demand for trailers for efficient use and customized service

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Yu-Ning Kao, Jou-yu Huang, Ting-Ju Wang, Chin Chang

University: 

NTHU

Presentation: 

Report: 

In this project, our data source is the stakeholders who are Jouyu’s family business. It is kind of transport industry. The business model is to transport customers’ excavators to the destination they require through the trailers whom the stakeholders own. However, since the stakeholders are used to manually record the trips that customers require, they predict the next demand only based on their experience. Without the assistant of technology, stakeholders are unable to anticipate the demand of trailers in the future accurately.

Forecasting quantity of newborns to better allocate cram school/daycare centers and their resources

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Di-Chien Lo, Guerman Shion, Jieng-Wuen Cai

University: 

NTHU

Presentation: 

Report: 

Cram Schools (CS) are specialized schools that train their students to meet particular goals, most commonly to pass the entrance examinations of high schools or universities. People in Taiwan are aware about the importance of early childhood education and development. Also, Day Care Center (DCC) is an ongoing service during specific periods, such as the parents' time at work. Recently large numbers of women workers are entering or returning to the workforce. The growing economy is encouraging parents to spend more on these child development services.

Forecasting demand of library study rooms to promote and manage co-working space

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Shu-Ming Yeh, Pei-Rong Chen Pi-Ruei Jiang, I-ting Wei

University: 

NTHU

Presentation: 

Report: 

Business Problem and Background: We are going to found a company turning the redundant space in campus into appealing co- working spaces for students. Since we have no any history record for predicting future demand of discussion room. The existing booking data of discussion room of library can, to some extent, reflect the pattern of real needs. Therefore, the project is going to forecast the demand of discussion room as accurate as possible to help our company better prepare and allocate resources.

Forecasting Goal: Predict future weekly booking in the following semester

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