## Industrial Connections and Partnerships

One key to the success of the MSIM program is our industrial advisory board. The board
members are leading industrial representatives including executive, president, vice
president, director, technical fellow, and chief analytics officer etc. from 30 world
well-known companies (1999-present). These advisors have made recommendations such
as professional training, emphasis on writing and presentations, exposure to industrial
problem solving and other disciplines which have been met by the program curriculum.
In fall, the advisors come to visit MSU campus for an annual Industrial Advisor Contact
Day (IACD), where our students have monk-interviews and review their resumes with
the advisors at one-to-one base. In spring, they also come to MSU to give industrial
lecture series to our students and have round table discussion with the students.

The industrial advisory board plays an important role to establish and maintain industrial
connections for the program. Furthermore, the specially-designed core course in industrial
mathematics (**Projects in Industrial Mathematics (MTH 844)** below) not only provides students with real-world project experience in spring but
also continually develops and extends industrial connections for the program for two
decades.

## Projects in Industrial Mathematics

### 2023

Proposer/Liaison: Cody Dean

Problem: Customer Migration: Do Customers Migrate Between Different Types of Product Lines?

Proposer/Liaison: Michael Friedel

Problem: One Step Ahead of the Cybersecurity Curve: Predicting Data Breach Trends Based on
Historical Attack Patterns

### 2022

Proposer/Liaison: Rick Reid

Problem: Making Healthcare Reimbursement Easy: Identifying Reimbursement Opportunities for
Healthcare Providers and Professionals

Proposer/Liaison: Kim D’Souza

Problem: K-Nearest Neighbors Problem for Moderately High Dimensional Spaces

### 2021

Proposer/Liaison: Cody Dean

Problem: Building a Better Business: Identifying the key factors that lead to higher customer
attraction, engagement, and retention

Proposer/Liaison: Kristine Allen

Problem: Maximizing Space Utilization and Efficiency of Clinics

### 2020

Proposer/Liaison: Chenglin Xu

Problem: Vehicle Test Cases Identification during Real World Scenarios

Proposer/Liaison: Joshua Schlosser and Gary Rudnicki

Problem: Developing Multiple Algorithms to Assign Work to Processing Associates in Workflow
Systems

Proposer/Liaison: Jerry Curtis and Roy Link

Problem: Applying Data Mining Techniques to a Population of Acquired Automotive and Commercial
Vehicle Brake Testing Data

### 2019

Amway

Proposer/Liaison: Cody Dean

Problem: Improving User Retention Rates for the Amway BodyKey SmartLoss Program

Proposer/Liaison: Rodney Taylor

Problem: Predictive Modeling of Municipal Financial Instability

Proposer/Liaison: Dave Fischer

Problem: Predictive Modeling of Sales and Shipping Costs

Proposer/Liaison: Caroline Kelly

Problem: Exploring Relationships between Space Traits, Occupancy, and Desirability

### 2018

Proposer/Liaison: Cody Dean

Problem: Developing a Smarter Air Purifier

Proposer/Liaison: Mike O'Neill

Problem: Improving the Customer HQ Visit Experience and Impact on Future Sales

Proposer/Liaison: Tracy Brower

Problem: Multi-Lens Study: Making Sense of Mixed Data to Understand Dynamics of the Office

Problem: Quantification of Wood-based Variability Compared to Process-based Variability

Problem: Profile Analysis and Transition Prediction of High Performance Off-Road Vehicle Dealerships

### 2017

Proposer/Liaison: Nicholas R. Cross

Problem: Speech Analytics with Voxai Genesys Speech Miner

Proposer/Liaison: Kevin Cooper and Yimin Liu

Problem: Data Analysis and Optimization for Mobility Service by Using Publicly Available Biking
Sharing Data

Proposer/Liaison: Tracy Brower

Problem: Examining Workplace Vitality through Deep Dives on Data

Proposer/Liaison: Henry Kong

Problem: Performance Analysis of an Electric Vehicle Controller

### 2016

Proposer/Liaison: Cody Dean

Problem: Data Mining Using Public Data Along With Internal Facial Data (FACES) From Numerous
Participants Located All Over the World

Proposer/Liaison: Jan Schiffmann and Henry Kong

Problem: Data Analysis for Identifying Bicycles and Pedestrians Using Radar Detection Signals

Proposer/Liaison: Gary Gifford

Problem: Foreseeing Clearly, Using Statistical Modeling to Improve Order Forecasts

Proposer/Liaison: Patrick Lukulay and Lukas Roth

Problem: A Risk-Based Approach to Pharmaceutical Quality Control – Extended Mathematical Modeling

### 2015

Proposer/Liaison: Scott Badenoch

Problem: Computational Optimization for Ballistic Obliquity, Blast Overpressure and Shockwave
Mitigation

Proposer/Liaison: Terry Niedermeyer

Problem: Creation of an Optimal Catalogue Mailing Scheme

Proposer/Liaison: Jennifer Kline

Problem: From Potential to Profitability: Key Indicators of a Winning, Profitable Opportunity

Proposer/Liaison: Luke Huelskamp

Problem: Improving Understanding of Average Daily Balance Method Over a Large Dataset

Proposer/Liaison: Patrick Lukulay

Problem: Risk-Based Approach for Regulating Medicines

### 2014

Proposer/Liaison: Yibing Shi

Problem: Crash-Relevant Vehicle Parameters beyond Mass and Footprint

Proposer/Liaison: Carl Vandomelen and Joseph Eckert

Problem: Evaluating the Low-Income Assistance Program Against the Budget Plan Option

Proposer/Liaison: Pam Harlin

Problem: Identifying Trends in Affinity Groups Which Impact Group Risk

Proposer/Liaison: Luke Huelskamp

Problem: Deeper Understanding of Average Daily Balance Method Over a Large Dataset

Proposer/Liaison: Dave Fischer

Problem 1: Mining and Characterizing Large Landfill Gas Datasets

Problem 2: Three-Dimensional Visualization of Landfill Gas Data

### 2013

Proposer/Liaison: Bruce Geist

Problem: Contact Mechanics in Automotive Design

Proposer/Liaison: Joseph Eckert and Carl Vandomelen

Problem: Assessing the Accuracy of Estimates in eBilling Process

Proposer/Liaison: Dave Fischer

Problem 1: Multivariate Analysis of Large Data Sets from Landfill Gas Collection Systems

Problem 2: Developing Predictive Models of Landfill Gas Data Sets for Process Management

Problem 3: Utilizing Data Visualization Tools to Deepen the Understanding of Large Landfill
Gas Data Collection

Proposer/Liaison: Joseph Klesney

Problem 1: Applying Short-Term Forcasting to Key Health Care Business Drivers

Problem 2: Measuring Health Care Growth in the Value Era

Proposer/Liaison: Huong Baker

Problem: Problem: Operational Analysis of a Product Line in the Office Furniture Industry

### 2012

Proposer/Liaison: Thomas O'Masta and Joseph Eckert

Problem 1: Revenue Operations Process Review and Enhancement - Bill Print and Delivery

Problem 2: Revenue Operations Process Review and Enhancement - Dunning and Collections Activities

Proposer/Liaison: Tim Rey and Paul Speaker

Problem: Using Neural Networks for High Frequency Forecasting

Proposer/Liaison: Paul McCarthy and Lan Wang

Problem: Auto Loan Take up Rate Model

Proposer/Liaison: Tracy Brower

Problem: Workplace Usage and Optimization

### 2011

Proposer/Liaison: Aaron Spiller

Problem: Segment Data and Fit Loss Distributions to Claims Information

Proposer/Liaison: Paul McCarthy and Lan Wang

Problem: Auto Loan Approval Volume Model and Take up Rate Model

Proposer/Liaison: Steve Korecki

Problem: Space Utilization Measurements of Commercial Office Buildings

Proposer/Liaison: Jason Allen

Problem: Medical Device Organizational Resource Benchmarking

### 2010

Proposer/Liaison: Jack Tower

Problem: Large Loss Predictive Model

Proposer/Liaison: Mark Wenger

Problem 1: Modeling Policyholder Longevity

Problem 2: Creating Territory Boundaries using Competitor Pricing Data

Proposer/Liaison: Tim Rey

Problem: Variable Selection in Time Series Modeling Projects with Large Numbers of Leading
Economic Indicators

Proposer/Liaison: Luke Huelskamp

Problem: Review of Average Daily Balance Calculation for Investment Allocation

Proposer/Liaison: Matthew Putti/Patrick Kruizenga

Problem: Predicting Product Mix and Volume In Order To Inventory the Correct Grades, Cuts,
and Species of Veneer

Project Summary
### 2009

Proposer/Liaison: John Williamson

Problem: Developing a "Retail Inflation Pricing Strategy" for Periods of Rapid Inflation.

Proposer/Liaison: Jon Williams

Problem: Determining the Leading Factors of Long-Term Customer Retention in the Insurance
Industry

Proposer/Liaison: Paul McCarthy and Jill Bewick

Problem: Auto Loan Volume Response Model

Proposer/Liaison: Doug Heilman

Problem: Rating Value of PPC for Mobilehome

Proposer/Liaison: William St. Amour

Problem: Strengthening Communities Through Citizen Data

### 2008

Proposer/Liaison: Tim Rey

Phase I: Replicating a Commodity Market Simulation Using Agent Based Modeling Techniques

Phase II: Modeling the Supply/Demand Dynamics in a Commodity Chemical Market

Proposer/Liaison: Matthew Putti

Problem 1: Development of Pricing Prediction Model

Problem 2: Wood Veneer Yield Analysis

Proposer/Liaison: Alfredo Cateriano and Gene Grabowski

Problem: Estimating the Workload and Credit Loss Impact of Collections Strategy Changes

Proposer/Liaison: Kim Norman

Problem: Revenue Analytics and Financial Forecasting

Proposer/Liaison: Bruce Geist

Problem: Development of an Efficiency Maximizing Tool for Custom Design of a Rocker Arm Joint

### 2007

Proposer/Liaison: John Williamson

Phase I: Developing a "Strong Store Profile" for Future Expansion

Phase II: Developing a "Strong Customer Demographic Profile" for Future Sales Growth and Expansion

Proposer/Liaison: Kim Hill

Problem: Developing a Full Cost Comparison of Offshore Sourcing versus Onshore Sourcing for
the Automotive Industry

Proposer/Liaison: David Field

Problem 1: Substructuring the Cost Evolution of Technology Products: Laptop Case Study

Problem 2: Descriptive ID's for Vehicles and Their Subcomponents

Proposer/Liaison: John Shull

Problem: Applied Mathematics in Win/Loss Analysis

Proposer/Liaison: Patrick Lukulay

Problem: Developing a Numerical Metric for the Quality of a Chromatographic Separation

Proposer/Liaison: Kim Norman

Problem: Development of a Cash Flow Forecasting Model

### 2006

Proposer/Liaison: Doug Roberts and Catherine Cusick

Problem: Cost Analysis for a New Criminal Justice Campus

Proposer/Liaison: David Field

Problem: Understanding the Cost Evolution of a Product

Proposer/Liaison: Patrick Lukulay

Problem: Determining the Maximum Allowed Error in an Analytical Method

Proposer/Liaison: Mike Wieber

Problem: Explain the Unaccountable Shortfall in Press Runs

Proposer/Liaison: Neil J. Bush, GM Business Unit

Problem: To be defined at a later date

Proposer/Liaison: Toby L. Hall

Problem 1: Refinement of Credibility Factors

Problem 2: Analysis of Data Used in Annual Rating Studies

Proposer/Liaison: John Shull

Problem: Uncovering Hidden Business Patterns

### 2005

Proposer/Liaison: Ewen Todd

Problem 1: Anthrax as a Bioterrorism Agent.

Problem 2: Survival of Pathogens in Manured Fields

Problem 3: Quantify Listeria Risk.

Project Report: Limited distribution by request.

Proposer/Liaison: Thomas E. Borton

Problem: Model the Economic Impact of Intelligent Transportation Systems

Proposer/Liaison: Toby L. Hall

Problem 1: Anticipating Monthly Claims.

Problem 2: Fine-Tuning Forecasting Methods.

Project Summaries
### 2004

Proposer/Liaison: Bruce Geist

Problem: Distortion Inside a Piston Bore

Proposer/Liaison: Colleen Serafin

Project 1: Clustering Human Feelings Using Neural Networks and Metric Topology for Small Sample
Size

Project 2: A Process Model for Analyzing Driver Performance

Proposer/Liaison: Charles Ballard

Problem: Optimal Income Taxation

Proposer/Liaison: Jill Morena

Problem 1: Optimization of Retro-Reflectometry Measurements

Proposer/Liaison: Ed Timpf

Problem 2: Predicting Revenue Loss from Alternate Fuel Vehicles

Proposer/Liaison: Michael Caveretta

Problem: Product Defect Diagnosis

### 2003

Proposer/Liaison: Daniel Padilha

Problem: Classification System for Fire Losses in Homeowners Insurance

Proposer/Liaison: Connie Hook

Project 1: Benefits of Self-Checkout

Project 2: Magnetic Ink Character Reader Preventative Maintenance Analysis

Proposer/Liaison: Eleanor M. Feit

Problem: Data mining to determine customer satisfaction over time

Project Report: Proprietary

Proposer/Liaison: Florence Nezamis

Problem: Model Future Emergency Services Needs

Proposer/Liaison: Martin Stryker,

Project 1: Test design using logarithmic distributions

Project 2: Cam design

Project 3: Patient transfer device

Proposer/Liaison: Michael Cavaretta

Problem: Product Defect Diagnosis

### 2002

Proposer/Liaison: Dr. B. F. Severin

Problem: Design and cost-analyze a soil treatment model

Proposer/Liaison: Mark Everson

Problem 1: What factors limit nimble redistribution of product lines?

Proposer/Liaison: David Scholl

Problem 2: Model the perception of car-body rattles

Proposer/Liaison: John Thomas

Problem: Schedule a forging operation

Proposer/Liaison: George H. Schriver

Problem 1: Improving the accuracy of a real-time planning tool

Problem 2: Projecting labor contract costs

Proposer/Liaison: Frank B. Dazzo

Problem 1: To design a clustering algorithm that defines natural borders of size and shape for
an AI morphotype classifier of bacteria

Problem 2: How many images of a microbial community are necessary to estimate its diversity
with confidence?

Proposer/Liaison: Jeffrey G. Jackson

Problem: Analyze the future profitability of the MSUFCU ATM network

### 2001

Proposer/Liaison: Frank B. Dazzo

Problem 1:. To design a clustering algorithm that defines natural borders of size and shape
for an AI morphotype classifier of bacteria.

Project Summary
Problem 2: How many images of a microbial community are necessary to estimate its diversity
with confidence?

Proposer/Liaison: Pat McCleer

Problem 1: Optimizing windmill alternator size: direct drive versus high gear ratios.

Problem 2: Optimize the Diesel versus electric motor sizes in hybrid vehicles to maximize fuel
efficiency.

Problem 3: Revise pulse-width modulation algorithms in automotive power inverters to minimize
the number of necessary electrolytics.

Proposers/Liaisons: Dr. P. Satoh and Dr. J. Madden

Problem 1:. How many 25 gm samples of ground beef must be taken to yield a 95% confidence that
there are fewer than 2 Ecoli per kilogram in the entire lot?

Problem 2: Model the dispersion of Ecoli from a point source via groundwater.

Problem 3: Grain exported to the EU can contain at most 1% genetically modified content. Design
a sampling regimen to ensure this purity is achieved.

Project Summary
Problem 4: Apply kinetic methods to immunoassays to shorten assay times.

Proposer/Liaison: Professor R. Isaacs

Problem: Predict the outbreak of the Grape Berry Moth using degree-day data.

Proposer/Liaison: Mr. R. Lambert

Problem: Model the evolution of crack density in solid rocket propellant using past temperature
history.

Proposer/Liaison: Mr. P. Sanchez

Problem: Instruct a numerically controlled milling machine to blend in valve seats into rebuilt
dragster cylinder heads.

### 2000

Proposer/Liaison: Kris Devarasetty and G. Watson

Problem 1: Reduce drift in a modern solid-state artificial horizon. -

Project Summary
Problem 2: Using vibration spectrum and torque, predict the remaining useful life of a gyroscope-based
artificial horizon.

Project Summary

Proposer/Liaison: P. E. Lindemann and E. Schertzing

Problem: Tollgate Wetlands Storm Water Retention, Model the uptake capacity of the Tollgate
Wetland when driven by statistical monthly weather.

Proposers/Liaisons: D. O'Brien and C. A. Simon

Problem: Perform a cost-benefit study of 12 versus 6 day sampling, with the savings invested
in additional sampling sites.

Proposer/Liaison: J. Siegel, Forensic Scientist

Problem: Model the shedding and persistence of fibers at a crime scene.

Proposer/Liaison: Ed. Kiernan

Problem: Design a clumping of States into groups with similar fee-for-service structure.

Proposers/Liaisons: Mr. M. Schnepp and Mr. D. Duckworth

Problem: Construct a generic disaster mitigation cost-benefit model.

Proposers/Liaisons: Ms. Alford, Mr. Swanson, and Mr. Syjud

Problem: Explain the unaccountable shortfall in press runs.

Proposer/Liaison: Ed. Kiernan

Problem: Given the negotiated contracts, predict future weekly claim patterns.