Department of Mathematics

Industrial Projects and Partners

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

2019

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/Liason: 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.

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Phone: (517) 353-0844
Fax: (517) 432-1562

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