Operations

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

Optimizing Operation Room Utilization by Predicting Surgery Duration

Application Area: 

Project Details

Term: 

Fall 2014

Students: 

Chou-Chun Wu, Li-Chan Chen, Dai-Sin Li

University: 

NTHU

Presentation: 

Report: 

Business Background and Motivation: Our main client is the newly elected director of the hospital who found that they are losing money in the operating room department due to the improper management on the surgery scheduling. Thus, he arranged a special committee to solve this hard task. The business problem we face is that for surgery scheduling it is often subjectively assigned by the operating doctors. For the doctors, each of them has different preference of time schedule and even the operation rooms which results in the difficulty of proper scheduling.

Predicting Customer Cancellation of Cab Bookings for YourCabs.com

Application Area: 

Project Details

Term: 

2013

Students: 

Anupama Atmuri, Garrett Butler, Leena Bhai, Priyanka Paul, Rohith Lokareddy, Shweta Agarwal

University: 

ISB

Presentation: 

Report: 

Our Client, YourCabs is a Bangalore-­‐based technology platform that aggregates fleet owners and vehicles, in the car rental space. The company, founded by Rajath Kedilaya in 2011 has managed to create an intelligent network that manages real-­‐time supply and demand of cabs.

Cab travel time prediction

Application Area: 

Project Details

Term: 

2013

Students: 

Bhushan Khandelwal, Mahabaleshwar Bhat, Mayank Gupta, Shikhar Angra, Sujay Koparde

University: 

ISB

Presentation: 

Report: 

Idea: Our project involves developing a model for predicting the travel time for a particular cab booking.
Such a model holds a lot of value for the consumers as well as the cab company. Many times customers
inquire the booking agents about the time it will take to travel from their source to destination but the

Share and Reach Anywhere: Providing shared cab services

Application Area: 

Project Details

Term: 

2013

Students: 

Arpit Gupta, Mandeep Sandhu, Manoo Kapoor, Rishiraj Shrawat, Udit Lekhi

University: 

ISB

Presentation: 

Report: 

‘Cab sharing’ is a well known concept of public transport service that can enable people to use taxi services at low cost. Primarily this service is targeted to achieve two broad goals. One is availability of an economically viable cab service option to areas which are poorly serviced by public transport wherein the only other alternative would be a high cost cab service. Shared cabs could cater to those commuters who travel frequently on highly congested routes and often face difficulties because of unavailability of good transport facility.

Identifying cab users' individual usage patterns for an effective promotion strategy

Application Area: 

Project Details

Term: 

2013

Students: 

Sheel Jaitley, Sunny Sapra, Amit Phatak, Biswajit Pattnaik, Sourav Paul

University: 

ISB

Presentation: 

Report: 

The report describes an analytics approach towards designing better promotions for increasing the revenues of yourcabs.com. The two key questions answered by this study are
1. When to launch a promotional campaign
2. Which customers to target to have the maximum ROI on the promotional campaign

The answer the above question two set of forecasting models have been built

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