ie 431 senior design project

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IE 431 SENIOR DESIGN PROJECT ADDRESSING LINE QUEUING AND WAIT TIMES IN UNIVERSITY DINING COURTS A PROJECT FOR PURDUE DINING AND CATERING Simran Ahuja, Kyle Alvarado, Peiran Gu, & Jessica Stahly IE 431 Team 21 1

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IE 431 Senior Design project. Addressing Line Queuing and Wait Times in University Dining Courts. A project for Purdue dining and catering. Simran Ahuja, Kyle Alvarado, Peiran Gu , & Jessica Stahly. IE 431 Team 21. Student FOCUSed design. Fostering Student success and awareness. - PowerPoint PPT Presentation

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IE 431 SENIOR DESIGN PROJECTADDRESSING LINE QUEUING AND WAIT TIMES IN UNIVERSITY DINING COURTSA PROJECT FOR PURDUE DINING AND CATERING

Simran Ahuja, Kyle Alvarado, Peiran Gu, & Jessica StahlyIE 431 Team 21

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STUDENT FOCUSED DESIGNFOSTERING STUDENT SUCCESS AND AWARENESSMaking student satisfaction a top priority

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TOPICS TO BE DISCUSSED

1.Introduction

2.Project Management

3.Project Approach

4.Results, Conclusions, and Recommendations

5.Summary

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INTRODUCTIONAssigned to work on the line queuing in the lobbies of the dining courts

Purdue Dining and Catering priorities:- Comfortable line waits

- Waiting indoors, out of elements- Shorter waits

- Inform students- Help students know when lines are long- Help students make informed choices of where to dine

OVERVIEW

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PROJECT MANAGEMENTGANTT CHART

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APPROACH1. Observation at the dining courts

-counting line lengths and rate of individuals entering dining court-observing student habits when going to dining courts

2. Discussion - team meetings to discuss major problems observed

3. Data Collection4. Teamwork and Solution Finding

- Simran and Ted concentrated on solving the line queuing problem

- Kyle focused on interpreting and drawing conclusions from data- Jessica concentrated on the prototype mobile application to

inform and interact with students5. Resulting Recommendations….

STEPS TO SUCCESS

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LINE QUEUING- Conducted informal surveys with students that use the dining courts

- Feedback showed that Ford and Wiley dining courts are the

most problematic for students (long lines, busyness, etc.)

- First step towards line queuing: measuring the dimensions of Ford

and Wiley dining courts

- AutoCAD used to draw the lobby layouts

OVERVIEW

Sketch of Wiley lobby dimensions

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LINE QUEUING

The team had to keep in mind the various constraints:

- Leave space near the ATM machines so students withdrawing money

don’t feel uncomfortable

- Leave space for sitting areas

- Route the line away from On-the-go entrance

The main problem with the current system is that the lobby is spacious,

but the organization of the line can be improved

FORD DINING COURT

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LINE QUEUING Recommendation:Lines begin at the West side of the dining court:- Most of the residence halls (Owen, Tarkington, Wiley and Hilltop) are

on the west side of the court. - As compared to the current queuing, our line queuing can have eight

more lines- Added space for 20-25 more people

FORD DINING COURT

West

South

“On-the-Go”“On-the-Go”

West

South

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LINE QUEUINGRecommendation:- Entry through north lobby door- Exit through south lobby door- North entrance to lobby typically used

more frequently than southDoors entering Dining area:- middle door can be used for entering- the south most door will be used for exiting - north most door can be locked and this

space will be used for more queues. As compared to the current system, this would give space for one additional queue.

WILEY DINING COURT

North

South

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LINE QUEUINGAlternative Recommendation: In addition to these solutions, another solution includes having two swipe machines. - Would be most useful when the dining court

first opens to get the first rush of students through the door

- Could reduce the line length- Idea: One line for students using Purdue ID

and other that accepts both Purdue ID and credit or debit cards

- Useful for future: more students, more seats in dining court

WILEY DINING COURTNorth

South

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DATA ANALYSISGoal: ability to make Informed decisions with the info learned from analysis

- Given 2 files: - “Micro DC Counts 13”- minute by minute swipe

data for March 2014

- Used Microsoft Excel, Microsoft Access, MiniTab, and SAS software

- Data cleaning/Data mining

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DATA ANALYSIS- Hillenbrand’s highest attended

dinner is on Thursday nights- Double swipe night

- Wiley hosts the most attended Saturday dinner

- location

- Friday nights are least attended dinner on campus

- Social activities, traveling, relaxing

INTUITIVE FINDINGS FROM THE DATA

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DATA ANALYSIS- Organized data into warm and

cold month categories- Separated by dining court and

meal- Ran a Student’s T-test (2

sample t-test) to compare difference in mean

- H0 : µ = 0 vs. Ha: µ ≠ 0

• Results: attendance at majority of dining courts were statistically significantly lower during the cold months

IMPACT OF TEMPERATURE AND CLIMATE CHANGE

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DATA ANALYSISIMPACT OF TEMPERATURE AND CLIMATE CHANGE

You can see from the Minitab output below an example of a significantly different data set:

Two-sample T for Ford Lunch (Warm) vs Ford Lunch(Cold) SE N Mean StDev Mean Ford Lunch (Warm) 70 1532 210 25 Ford Lunch(Cold) 97 1353 151 15 Difference = mu (Ford Lunch (Warm)) - mu (Ford Lunch(Cold)) Estimate for difference: 178.4 95% CI for difference: (120.1, 236.7) T-Test of difference = 0 (vs not =): T-Value = 6.06 P-Value = 0.000 DF = 117

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DATA ANALYSIS- NOT statistically significant: Earhart lunch, Earhart dinner, Windsor

dinner, and Hillenbrand dinner- Reasoning and factors

IMPACT OF TEMPERATURE AND CLIMATE CHANGE

Two-sample T for Earhart Dinner(Warm) vs Earhart Dinner(Cold) SE N Mean StDev Mean Earhart Dinner(Warm) 57 1714 241 32 Earhart Dinner(Cold) 82 1642 231 26 Difference = mu (Earhart Dinner(Warm)) - mu (Earhart Dinner(Cold)) Estimate for difference: 72.6 95% CI for difference: (-8.4, 153.7) T-Test of difference = 0 (vs not =): T-Value = 1.77 P-Value = 0.079 DF = 117

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DATA ANALYSIS- Used minute by

minute swipe data for March 2014

- Data cleansing, ran queries, sorted and organized data into usable format

- Separated into 10 minute bins for graphing

- Objective: to learn from dining court trends

ATTENDANCE TRENDS

11:0011:10

11:2011:30

11:4011:50

12:0012:10

12:2012:30

12:4012:50

13:0013:10

13:2013:30

13:4013:50

0

50

100

150

200

250

300

350

400

450

500

Ford Wed. Lunch Volume

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MOBILE APPLICATIONPROTOTYPE/DESIGN IDEA

• Create a new mobile application or add to an existing application

– Interactive– Ways for

students to report “Fullness” of each dining court

– Tool for YOU to get feedback from students

– Similar to other social network sites (Twitter)

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SUMMARYLine Queuing:- Ford: Space for 20-25 more people in the lobby- Wiley: The space for the line can be enlarged inside the lobby, and one

additional queue may be addedData Analysis:- Difference between cold and warm months- Attendance patterns at dining courts

- Wiley busiest Sat. dinner- Hillenbrand busiest night: Thursday (double swipe steak)- Friday night dinner is least attended

Mobile application:- Create new or update current application- Interactive for students

- Can see busyness, share thoughts, provide feedback to YOU

TAKEAWAY

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THANK YOU!!Thank you for your help with this project, especially Sharlee.

QUESTIONS?