ANLY482 AY2017-18 Term 2

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Project Title	About the Project	Student Member(s)	Project Supervisor	Sponsor
Provide an easy to understand project title	Describe the content of the project. It should not be more than 350 words.	Group 01 - Group Name AAA BBB CCC	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	XXX Pte. Ltd.
Close-the-Loop	Arup is an engineering consultancy designing architecture, infrastructure, and urban planning worldwide. As part of their work on Downtown Line 3, engineering design and construction has happened in phases, producing data on the design specifications made in response to ground surveying data collected, and data on the implementation of those designs by contractors in each phase. Parts of design specification may be found to require revision after feedback from contractors, and we hypothesize that these specifications requiring re-design can be predicted, not only to identify them, but also the kind of re-design that may be necessary. By using past design data and the redesign requests received in response to them, we can help engineers provide design specifications that are less likely to require re-design, hence using data to close the loop on design.	Group 02 - Josh & Fried Investigations Ang Zhuang Kai Friedemann Josh Ho Xian Zheng	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Arup Singapore Pte. Ltd.
OPTEAMIZATION	Describe the content of the project. It should not be more than 350 words.	Group 03 Chua Weilun, Ben Tay Jing Ying Russell Yap Song Chen	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	YCH Group Pte Ltd
Provide an easy to understand project title	Describe the content of the project. It should not be more than 350 words.	Group 04 Shaun Au Yong Liang Wei Tan Jieying Jaqueline Karen Koh Li Yin	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	SGAG Media Pte. Ltd.
Predictive Parking Enforcement - Tackling indiscriminate parking by bike-sharing users	In_Progress.	Group 08 Heng Chai Lin Catherine Pang Jia Hao, Shawn Seah Li Jia Desiree	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	oBike Asia Pte. Ltd.
Koi Logistics Analysis	KOI is one of the most well-known bubble tea brands in Singapore, founded in 2006. Despite this, it is facing logistics problems in their daily operations such that employees in different branches have difficulty predicting the right amount of ingredients to order. Moreover, space constraints of each branch is different and have to be taken into consideration, since not every branch can order the same amount of quantity, leading to a steep learning curve for new employees. Current employees also do not fully understand how much ingredients would be needed during promotional periods of certain products. As such, our project aims to focus on predictive analysis tools such as multinomial regression models, along with data (e.g. sales, shipment, promotion details) provided by KOI to better understand correlations between different factors and sales, helping employees make better informed decisions on how much to order in the future.	Group 09 Toh Ling Jing, Angie Phang Shi Jia Ryan Chia Cheng Yu	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	KOI Thé Singapore Pte Ltd
Delivery Schedule Optimisation	In Progress	Group 14 Tan Yong Jin Wang Miaoqiong Wu Wei	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	DHL Express (Singapore) Private Limited
In_progress	In_Progress.	Group 17 Gan Wen Xuan Damien Lewis Poh Yu Gui Louis Tan Kai Huang	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	National Council of Social Service
In_progress	In_Progress.	Group 31 Chia Chek Wei Lim Ching Ye Lim Yee Khang	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	oBike