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Martin, Wendy Lynn

Teaching Associate Professor and W. Edwards Deming Professor of Management

Positions

Research Areas research areas

Research

research overview

  • Professor Martin's area of expertise is focused on the application of statistics in an industrial environment, with an emphasis in six sigma, quality systems and reliability methods.

keywords

  • Business, Quality Improvement, Applied Statistics, Leadership, Industrial Research, Production, Operations, Manufacturing, Performance Excellence, Statistical Process Control, Process Improvement

Publications

Teaching

courses taught

  • DTSA 5704 - Managing, Describing, and Analyzing Data
    Primary Instructor - Spring 2022 / Summer 2022 / Fall 2022
    This course teaches the fundamentals of understanding data and the importance of correctly classifying data. This course covers how to describe data using descriptive statistics and R software, the four probability distributions commonly used in data analysis, steps for analyzing data sets using the appropriate probability distribution, and the basics of sampling error, sampling distributions, and errors in decision-making.
  • DTSA 5705 - Stability and Capability in Quality Improvement
    Primary Instructor - Spring 2022 / Summer 2022 / Fall 2022
    Students will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to performing statistical hypothesis testing. Students will create statistical process control charts for both continuous and discrete data using R software. Students will analyze data sets for statistical control using control rules based on probability. Additionally, students will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement.
  • DTSA 5706 - Measurement Systems Analysis
    Primary Instructor - Summer 2022 / Fall 2022
    Students will learn to analyze measurement systems for process stability and statistical control and why having a stable measurement process is imperative prior to performing any statistical analysis. Students will analyze continuous measurement systems and statistically characterize both accuracy and precision using R software. Students will perform measurement systems analysis for potential, short term and long term statistical control and capability.
  • DTSA 5900 - Special Topics
    Primary Instructor - Summer 2021 / Fall 2021
    Examines a special topic in Data Science. May be repeated up to 9 total credit hours.
  • EMEN 4400 - Quality Management
    Primary Instructor - Spring 2018 / Summer 2018 / Fall 2018 / Spring 2019 / Summer 2019 / Fall 2019 / Spring 2020 / Summer 2020 / Fall 2020 / Fall 2021 / Fall 2022
    Introduces the concepts, tools and techniques used in the management and measurement of quality and productivity in a business environment. Associated topics include: statistics methods, design quality, measurement, control and process improvement. Discover the basics of performance excellence management including Baldridge Award criteria, strategic planning, leadership and daily quality management. Same as MGMT 4400.
  • EMEN 5005 - Introduction to Applied Statistical Methods
    Primary Instructor - Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022 / Fall 2022
    Covers statistical reasoning and analysis in support of business and engineering decision making. Topics include: engineering and applied research, descriptive and inferential statistics to include estimation and hypothesis testing using both traditional parametric as well as nonparametric procedures for research situations involving one or two groups of treatment conditions. The R statistical analysis and programming system is used.
  • EMEN 5041 - Advanced Topics in Value Creation
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021 / Summer 2022
    Focuses on the advanced study of methods designed to maximize excellence in business performance. Includes a model to understand process and product tradeoffs, interactions with supplies, integrated manufacturing systems and meeting customer requirements while maximizing profitability. These characteristics are addressed both strategically and tactically through the use of case analysis, field study and experiential learning for production and service sectors.
  • EMEN 5042 - Methods for Quality Improvement
    Primary Instructor - Fall 2018 / Fall 2019 / Spring 2021 / Spring 2022
    Develop in-depth expertise in the concepts, tools and techniques used in the management and measurement of quality and productivity. Apply statistics and probability to the topics of process variation and statistical process control and capability analysis for process, product, and measurement systems. Explore an introduction to design of experiments (DOE) in business and industry to improve both quality and performance.
  • EMEN 5043 - Advanced Topics in Quality Systems/ Engineering
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2020 / Summer 2021
    Advanced study of methods, tools, techniques and systems associated with advanced quality applications. Includes a survey of advanced process control technologies, control schemes and measurement system analysis.
  • EMEN 5500 - Lean and Agile Management
    Primary Instructor - Fall 2022
    Learn lean and agile concepts and tools to improve customer value, improve processes and reduce waste. Examine and apply lean and agile principles in diverse circumstances including hardware/software, product development/ongoing operations and manufacturing products/providing services. Apply your learning to improving performance in current responsibilities, whether as an individual contributor or as a manager. Degree credit not granted for this course and OPIM 6080.
  • MGMT 4400 - Quality Management
    Primary Instructor - Fall 2018 / Spring 2019 / Summer 2019 / Fall 2019 / Spring 2020 / Summer 2020 / Fall 2020 / Fall 2021 / Fall 2022
    Introduces the concepts, tools and techniques used in the management and measurement of quality and productivity in a business environment. Associated topics include: statistics methods, design quality, measurement, control and process improvement. Discover the basics of performance excellence management including Baldridge Award criteria, strategic planning, leadership and daily quality management.Same as EMEN 4400.

Background

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