Operations

Demand Forecasting for Materials to Improve Production Capability Planning in BASF

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Raden Agoeng Bhimasta, Dana Tai, Daniel Viet-Cuong Trieu, Will Kuan

University: 

NTHU

Presentation: 

Report: 

VIDEO

BASF is currently the world largest chemical company. In 2017, BASF posted sales of
€64.5 billion and income from operations before special items of approximately €8.3 billion. They have broad portfolio ranges from chemicals, plastics, performance products and crop protection products to oil and gas.

Forecasting swimsuit sales for the next month to assist in inventory management for Heatwave

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Jheng Kai-Ru, Adam Yu, Silvia Yang, Zoly Chang

University: 

NTHU

Presentation: 

Report: 

VIDEO

Heatwave is a swimsuit e-commerce seller on the Tmall.com. They designed and manufactured their swimsuits and sell them on the Tmall platform. In this project, our team collaborated with Heatwave to work on the forecasting job of predicting swimsuit sales for the next month to assist in inventory management.

Forecasting customer demand for packages in SIG Indonesia market for better customer sales promotion

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Shang-Chi Tu, Beverly Lin, Ken Wu, Jimmy Wang

University: 

NTHU

Presentation: 

Report: 

VIDEO

Introduction of Our Client: SIG
In this project, our client is SIG Combibloc. SIG is a leading systems & solutions provider of carton packaging and flexible filling machines for beverages and food, helping bring food products to consumers in a safe, sustainable and affordable way.

Forecasting AsiaYo’s One Month Ahead Daily Room Occupancy in Different Cities for Supply Preparation

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Sz Wei Wu (Sandy), Cheng Che Liao (John), Min Sheng Wu (Akira), Kai Wei Pai (Kelvin)

University: 

NTHU

Presentation: 

Report: 

VIDEO

In this project, we collaborate with AsiaYo, an online B&B booking platform company headquartered in Taiwan, to work together on solving their business problem by using forecasting methods. One challenge facing AsiaYo is the revenue lost when they are lack of available rooms on holidays or special peak periods. Considering the enterprise level and resource, we find that it will be more affordable and understandable to focus our solution of this business problem on certain popular areas.

Forecasting Daily Number of User Problem Reports of Junyi Academy for Efficient Staff Allocation

Application Area: 

Project Details

Term: 

Fall 2016

Students: 

Chia Li Chien, Sherry Wu, Elisa Wang, Emily Wu

University: 

NTHU

Presentation: 

Report: 

Introduction of Our Client: Junyi Academy In this project, our client is Junyi Academy, a platform offering online learning resources for all ages. It provides practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. With high utilization ratio of the practice exercises, Junyi receives problems reported by users, which are called “user problem reports”. All the reports will be checked and then be distributed to the responsible team by operation team.

Forecasting restaurant sales using data from iChef, weather forecasts, and holiday information

Application Area: 

Project Details

Term: 

Fall 2016

Students: 

Nicholas Danks, Isaac Martinez, Mahsa Ashouri, Paul Rivera

University: 

NTHU

Presentation: 

Report: 

One of the largest challenges facing small and medium restaurants is that of competing against big chains with better information infrastructure – an advantage that allows the big chains to plan resource allocation more precisely based on demand and other factors. iChef provides this platform for small restaurants “making enterprise level technologies affordable and understandable for small restaurants”.

Forecasting the daily number of customers in each restaurant

Application Area: 

Project Details

Term: 

Fall 2016

Students: 

Edison Lee, Celia Chen, Sehyeon Jeong, Guan-Jie Chen, Web Yuan

University: 

NTHU

Presentation: 

Report: 

Business Problem

We are going to let manager of each restaurant know how busy they will be tomorrow by this business forecasting. The forecasted value would be used as a mental preparation of manager.

Data

Optimum Staff Schedule for a German Drug Company by Forecasting Customer Footfalls

Application Area: 

Project Details

Term: 

2017

Students: 

Ashish, Saurabh Shekhar, Rishab Choraria, Kirti Pandey, Rahul Singh, Krishna Guha

University: 

ISB

Presentation: 

Report: 

a. Problem Description
Our client is a German drug manufacturer who owns and operates six stores in different parts of
Germany. Each store has a unique layout and some stores are open for fewer days than others. Moreover, customer footfall varies by location. Our client contracts staffing personnel on a daily basis from a staffing agency for all the stores, and each contracted staff is paid on per hour basis every day. The
management in our client’s organization has been tasked with an objective to bring down the staffing

Forecasting the number of aircraft for Qantas Airlines

Application Area: 

Project Details

Term: 

2017

Students: 

Balasubramanyam M N Murthy, Ishaan Saxena, Katyayan Sinha, Maneesh Vivek Kunte, Mohammad Nauman, Siddharth Garg

University: 

ISB

Presentation: 

Report: 

Stakeholder : We are representing Quantas Airlines, one of Australia’s largest airline companies, in this
project.

Business objective : Our task here is to forecast the number of aircraft that Quantas needs to lease in order to satisfy all its passenger and cargo demand.

Inputs : The inputs that we have are the number of passengers and the amount of cargo (freight and mail) that was handled by Australian airports every month for the last 30 years.

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