Positions

Research Areas research areas

Overview

  • Roger Grinde is an Associate Professor of Management Science in the Peter T. Paul College of Business & Economics at the University of New Hampshire. He earned his Ph.D. in Industrial Engineering and Operations Research from The Pennsylvania State University. His primary interests are in applied optimization, quantitative and behavioral aspects of personal financial planning, and pedagogical innovation in business analytics education. His research has been published in International Journal of Production Research, European Journal of Operational Research, Computers and Operations Research, and other journals.
  • Selected Publications

    Academic Article

    Year Title
    2020 Spreadsheet-Based Modeling and Optimization of a Bi-Modal Traveling Salesman Problem: Model, Solution, and CaseSpreadsheets in Education.  12. 2020
    2018 An Interactive Tool to Teach Monte‐Carlo Simulation and VBABusiness Education Innovation Journal.  10. 2018
    2017 A Bi-Modal Routing Problem with Cyclical and One-Way Trips: Formulation and Heuristic SolutionInformation Technology and Management Science.  20:79-84. 2017
    2011 Nanotechnology as general-purpose technology: empirical evidence and implicationsTechnology Analysis and Strategic Management.  23:175-192. 2011
    2003 Experiences Using Thematic Assignments in an Undergraduate Management Science CourseINFORMS Transactions on Education.  4:23-36. 2003
    1999 Solving an apparel trim placement problem using a maximum cover problem approachIIE Transactions.  31:763-769. 1999
    1997 A new algorithm for the two-polygon containment problemComputers and Operations Research.  24:231-251. 1997
    1996 Containment of a single polygon using mathematical programmingEuropean Journal of Operational Research.  92:368-386. 1996
    1995 A NEW ALGORITHM FOR THE MINIMAL-AREA CONVEX ENCLOSURE PROBLEMEuropean Journal of Operational Research.  84:522-538. 1995
    1994 MINIMAX CENTER ESTIMATION FOR INSPECTION OF SPHERICAL PARTSInternational Journal of Production Research.  32:2031-2047. 1994
    1987 ANSI ASQC Z1.4 PERFORMANCE WITHOUT LIMIT NUMBERSJournal of Quality Technology.  19:204-215. 1987
    1987 ANALYSIS OF THE USE OF LIMIT NUMBERS IN ANSI Z1.4 USING A SIMULATION-MODELInternational Journal of Production Research.  25:301-313. 1987

    Article

    Year Title
    2021 Innovative Ideas for Teaching Operations and Supply Chain in a Digital Age 2021
    2020 Incorporating Analytics Across the Business Curriculum 2020
    2020 Incorporating Analytics Across the Business Curriculum 2020
    2018 Comparison of Retirement Planning Strategies 2018
    2017 An Interactive Monte‐Carlo Simulation Tool to Teach Simulation and VBA 2017
    2017 An Optimization‐Based Heuristic for a Recreational Hiking Problem 2017
    2015 Optimal Hiking: Bi-Modal Variant of the Traveling Salesman Problem 2015
    2014 Introduction to Business Analytics 2014
    2005 Online Spreadsheet Forums 2005
    2005 Teaching Simulation 2005
    2004 Spreadsheet Development, Auditing, and Control 2004
    2004 Teaching Simulation 2004
    2003 A Decision Model for Course Bundling for Incoming Freshman Business Students 2003
    2003 Excel Macros to Aid Model Documentation 2003
    2002 Assessing the Tradeoffs of End User Modeling and Optimization in Spreadsheets 2002
    2002 Bridging the Relevance Gap in the Undergraduate Management Science Course: Experiences Using a Series of Thematic Assignments 2002
    2000 A Visual Basic for Applications Simulator to Motivate Learning of Revenue Management Concepts 2000
    1998 The Bi-Modal Covering Salesman Problem 1998
    1997 A Generalized Maximum Cover Problem: Motivation, Formulation & Solution 1997
    1996 An Approach to the Apparel Trim Placement Problem 1996
    1996 An Approach to the Pattern Layout Problem Based on Minimal Convex Enclosures 1996
    1996 The Trim Placement Problem in the Apparel Industry: A Hybrid Geometric/Optimization Approach 1996
    1994 Variance of Server Response Time in the Stochastic Queue Median Problem 1994
    1994 Nesting Irregularly-Shaped Parts: Convex Enclosures of Polygons 1994
    1993 Containment of Two Polygons: A Layout Problem 1993
    1992 Polygon Containment Via Mathematical Programming 1992
    1990 FLCS2: Brigade TOC Information Flows, Including Commander's Critical Information Requirements and the Effect of Automation on Command and Control 1990
    1986 A Simulation Model for Analyzing Switching Rules in MIL-STD-105D 1986

    Conference Paper

    Year Title
    2017 An Interactive Monte‐Carlo Simulation Tool to Teach Simulation and VBA 2017
    2017 An Optimization‐Based Heuristic for a Recreational Hiking Problem 2017
    2015 Optimal Hiking: Bi-Modal Variant of the Traveling Salesman Problem 2015
    2008 Is Nanotechnology a General Purpose Technology and Why do we need to Know? 2008
    Comparison of Retirement Withdrawal Strategies

    Teaching Activities

  • Corporate Project Experience Taught course 2023
  • Corporate Project Experience Taught course 2023
  • Corporate Project Experience Taught course 2023
  • Data Mgmt & Visualization Taught course 2023
  • Data Viz & Prescript Analytics Taught course 2022
  • Data Viz & Prescript Analytics Taught course 2022
  • Quantitative Decision Making Taught course 2022
  • Corporate Project Experience Taught course 2022
  • Corporate Project Experience Taught course 2022
  • Corporate Project Experience Taught course 2022
  • Data Mgmt & Visualization Taught course 2022
  • Data Viz & Prescript Analytics Taught course 2021
  • Data Viz & Prescript Analytics Taught course 2021
  • Quantitative Decision Making Taught course 2021
  • Quantitative Decision Making Taught course 2021
  • Corporate Project Experience Taught course 2021
  • Corporate Project Experience Taught course 2021
  • Corporate Project Experience Taught course 2021
  • Corporate Project Experience Taught course 2021
  • Data Mgmt & Visualization Taught course 2021
  • Data Driven Decisions Taught course 2020
  • Data Driven Decisions Taught course 2020
  • Quantitative Decision Making Taught course 2020
  • Quantitative Decision Making Taught course 2020
  • Corporate Project Experience Taught course 2020
  • Data Mgmt & Visualization Taught course 2020
  • Data Driven Decisions Taught course 2019
  • Data Driven Decisions Taught course 2019
  • Quantitative Decision Making Taught course 2019
  • Quantitative Decision Making Taught course 2019
  • Data Driven Decisions Taught course 2018
  • Data Driven Decisions Taught course 2018
  • Quantitative Decision Making Taught course 2018
  • Quantitative Decision Making Taught course 2018
  • Corporate Project Experience Taught course 2018
  • Corporate Project Experience Taught course 2018
  • Corporate Project Experience Taught course 2018
  • Managerial Decision Making Taught course 2017
  • Bus Analytic SS Modeling Taught course 2017
  • Quantitative Decision Making Taught course 2017
  • Quantitative Decision Making Taught course 2017
  • Corporate Project Experience Taught course 2017
  • Corporate Project Experience Taught course 2017
  • Corporate Project Experience Taught course 2017
  • Managerial Decision Making Taught course 2016
  • Managerial Decision Making Taught course 2016
  • Bus Analytic SS Modeling Taught course 2016
  • Quantitative Decision Making Taught course 2016
  • Quantitative Decision Making Taught course 2016
  • Bus Analytic SS Modeling Taught course 2016
  • Corporate Project Experience Taught course 2016
  • Managerial Decision Making Taught course 2015
  • Bus Analytic SS Modeling Taught course 2015
  • Managerial Decision Making Taught course 2015
  • Quantitative Decision Making Taught course 2015
  • Bus Analytic SS Modeling Taught course 2015
  • Quantitative Business Analysis Taught course 2015
  • Managerial Decision Making Taught course 2014
  • Quantitative Decision Making Taught course 2014
  • Quantitative Decision Making Taught course 2014
  • Quantitative Decision Making Taught course 2014
  • Quantitative Decision Making Taught course 2014
  • Quantitative Decision Making Taught course 2014
  • Education And Training

  • B.A. Mathematics, Carroll College
  • M.S. Industrial Engineering, Oregon State University
  • Ph.D. Industrial Engineering and Operations Research, Pennsylvania State University
  • Full Name

  • Roger Grinde