Operations

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

Forecasting demand for cabs in Bangalore by car type

Application Area: 

Project Details

Term: 

2013

Students: 

Ananya Guha, Devarishi Das, Nirman Sarkar, Pratyush Kumar, Shridhar S Iyer

University: 

ISB

Presentation: 

Report: 

YourCabs aggregates radio cabs from multiple taxi operators in Bangalore. For each model type, the supply shifts dynamically and depends on the number of drivers logged in. If cabs are unavailable, Yourcabs incurs cost on either upgrading the passenger or losing the sale. If several cabs do not have bookings, there is some loss of relationship with the supplier. Thus, YourCabs needs to be able to predict the demand for each cab type at an hourly basis so it can reach out to taxi operators and plan the number of drivers logging into its system.

Demand Forecasting for Fresh Milk Dahi & Yoghurt

Application Area: 

Project Details

Term: 

2012 (Nov)

Students: 

Yash Chandwani, Vivek Khandelwal, Shilpi Gupta, Sudhanshu Dharmadhikari, SN Basu

University: 

ISB

Presentation: 

Report: 

Retailers face a formidable challenge of ensuring that they have optimum levels of inventory for goods that are perishable. This is because these goods have short shelf life without any salvage value and can hurt the profitability of the retailers significantly. It therefore becomes critical for the retailers to know accurate forecasts for perishable items such as fresh milk and yoghurt. These subclasses also drive footfall into the retail stores and hence it is important to maintain high levels of service for these products.

Forecasting Sales of Dairy and Ice Cream Products

Application Area: 

Project Details

Term: 

2012 (Nov)

Students: 

Arpita Bhattad, Kapil Dev Tejwani, Kaushik Sur, Ridhima Gupta, Ushhan Gundevia

University: 

ISB

Presentation: 

Report: 

ABC retail is a large format hyper market. It sells food, fashion and electronics. Data led
insights and analytics forms the foundation of all decision making and communication. It now wishes to

Forecasting Sales for Top Selling SKUs

Application Area: 

Project Details

Term: 

2012 (Nov)

Students: 

Arka Sarkar, Kushal Paliwal, Malvika Gaur, Shwaitang Singh

University: 

ISB

Presentation: 

Report: 

We aim to forecast daily sales (unit sold) of the top 5 selling SKUs for the coming week (1st August 2012 to 7th August 2012). We identify the top 5 selling SKUs in 2012.

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