Subject: SCMG

Term: Spring 2026

SCMG 420: Experiential Learning with Six Sigma Green Belt (100/1422)

R 02:30-05:15 PM Jan 12-Apr 27

Goulder, M

The Six Sigma process is the standard for quality improvement in organizations around the globe. In this course, we study the details of the five steps in the Six Sigma process: DEFINE, MEASURE, ANALYZE, IMPROVE, and CONTROL (DMAIC). Many tools, concepts, and processes that are often an integral part of Six Sigma projects in companies are included in the course content. They range from the very basic tools of quality (such as cause-and-effect diagrams for brainstorming) to complete processes (such as benchmarking, quality function deployment, failure mode and effects analysis-FMEA). Statistical concepts with software applications that are central to Six Sigma including statistical process control and introduction to design of experiments are also included. Once the Six Sigma process and its various components are understood, we study quality management including quality control, quality planning, quality improvement, strategic quality management, and quality strategy. A major requirement of the course is an action learning component in which the students are assigned in groups to work on unpaid real projects of Six Sigma in local industries. Students meeting the required standards of performance will earn a Green Belt Certification in Six Sigma and Quality Management from the Weatherhead School of Management. Offered as OPMT 420 and SCMG 420.

SCMG 432A: Spreadsheet and Business Process Simulation - I (100/1380)

T 03:00-05:45 PM Jan 13-Feb 24

Fallahtafti, A

Computer simulation is a process of designing and creating a computer model (vedio game) that mimics an existing or proposed system so as to better understand the behavior of the system. Many studies have shown that in industry, simulation is most frequently used Operations Research tool due to its ability to deal with complex systems. Another reason for the recent popularity of simulation is the availability of specialized software with animation capabilities. This course is designed to give students basic ideas of simulation methodology with the aid of popular simulation software. The emphasis of the course is in simulating business processes, however, the versatility of the technique will be demonstrated with applications from finance, health care, etc. The main focus of the course is on building simulation models using state of the art software (@RISK and ARENA). The grading is based on weekly homework and final exam. Offered as OPRE 332A, OPRE 432A, and SCMG 432A.

SCMG 432A: Spreadsheet and Business Process Simulation - I (101/11507)

T 11:30-02:15 PM Jan 13-Feb 24

Fallahtafti, A

Computer simulation is a process of designing and creating a computer model (vedio game) that mimics an existing or proposed system so as to better understand the behavior of the system. Many studies have shown that in industry, simulation is most frequently used Operations Research tool due to its ability to deal with complex systems. Another reason for the recent popularity of simulation is the availability of specialized software with animation capabilities. This course is designed to give students basic ideas of simulation methodology with the aid of popular simulation software. The emphasis of the course is in simulating business processes, however, the versatility of the technique will be demonstrated with applications from finance, health care, etc. The main focus of the course is on building simulation models using state of the art software (@RISK and ARENA). The grading is based on weekly homework and final exam. Offered as OPRE 332A, OPRE 432A, and SCMG 432A.

SCMG 432B: Spreadsheet and Business Process Simulation - II (100/1381)

T 03:00-05:45 PM Mar 03-Apr 21

Fallahtafti, A

Computer simulation is a process of designing and creating a computer model (video game) that mimics an existing or proposed system so as to better understand the behavior of the system. Many studies have shown that in industry, simulation is most frequently used Operations Research tool due to its ability to deal with complex systems. Another reason for the recent popularity of simulation is the availability of specialized software with animation capabilities. This course is designed to give students basic ideas of simulation methodology with the aid of popular simulation software. The emphasis of the course is in simulating business processes, however, the versatility of the technique will be demonstrated with applications from finance, health care, etc. This course builds on 332A/432A (where the main emphasis was to build simulation model using @RISK and ARENA) and focuses on statistical ideas and tools needed in building, analyzing and experimenting with these models. Offered as OPRE 332B, OPRE 432B, and SCMG 432B

SCMG 462: Artificial Intelligence Fundamentals for Supply Chain Management (100/10964)

W 09:00-11:45 AM Jan 14-Feb 25

Vaidya, J

Artificial Intelligence (AI) is transforming how companies manage their supply chains, enabling more accurate predictions, smarter decisions, increased efficiency, and competitive advantage. This course provides a comprehensive introduction to AI and Machine Learning (ML), emphasizing practical applications within Supply Chain Management (SCM). Starting with fundamental AI concepts, students explore supervised and unsupervised learning methods, including decision trees, ensemble learning, clustering, and dimensionality reduction, through practical SCM use cases. Building upon this foundation, the course covers advanced deep learning methods, including multi-layer perceptrons (MLPs), convolutional neural networks (CNNs) for computer vision, and recurrent neural networks (RNNs) and transformers for natural language processing (NLP), relevant to inventory management, predictive maintenance, quality control, and supplier analysis. The course also addresses critical topics in AI ethics, model interpretability, fairness, and bias mitigation, promoting responsible AI implementation. Through lectures and practical examples, students will develop skills to implement and critically assess AI-driven solutions to enhance supply chain prediction, decision-making, and performance. Coding exercises will be done in Python.

SCMG 463: Case Studies in Artificial Intelligence - Supply Chain Applications (100/10965)

W 09:00-11:45 AM Mar 04-Apr 22

Goulder, M

This course will take an in-depth look at important SCM Digitization business cases to build a broad awareness. Topics related to digitization will be: planning, procurement, distribution, manufacturing and services.

SCMG 475: Global Supply Chain Logistics (100/1387)

TR 10:00-11:15 AM Jan 12-Apr 27

Mathur, K

The course will attempt to achieve two objectives: (1) to develop your skills in solving specific types of logistics/supply chain problems, and (2) to improve your capabilities in dealing with unstructured problems of the type encountered by intermediate and top managers. Skill development is accomplished through lecturers, case studies, homework, and examinations. These skills are valuable for addressing specific problems where the given technology is useful in treating them. On the other hand, broader analytical skills are enhanced using case studies and class discussion, which allow problem solving to be placed in a larger context. Defining a framework for analysis, applying concepts and principles, and commenting on the analysis of others help to achieve the second objective. Of course, these objectives interplay throughout the course of study. Offered as OPMT 475 and SCMG 475.

SCMG 477A: Business Forecasting (100/1384)

W 06:00-08:30 PM Jan 14-Feb 25

Mathur, K

This course introduces nonmathematical managers to the major quantitative models designed for sound demand and system forecasting in today's complex and increasingly uncertain supply chains. Topics will also include reliability of historical data sets to forecast future patterns. The course will also cover non-quantitative tools to forecast demand for new products, services and technologies when historical data are not readily available. Emphasis is placed on a general understanding of theory, mechanics, application potential, available software packages, and templates. Offered as OPMT 377A, OPMT 477A and SCMG 477A.

SCMG 477B: Enterprise Resource Planning in the Supply Chain (100/1385)

W 06:00-08:30 PM Mar 04-Apr 22

Difilippo, D

Enterprise resource planning is the dominant system by which companies translate the needs from their customers into the detailed plans that the company must perform to meet the customer needs, and the resulting support the company will need from its suppliers. As such, it is a central player in the process of supply chain management. In this course, we study both the quantitative and qualitative concepts and techniques to help manage a company's operations to perform these important translation and planning tasks in order to help the company be successful. A major emphasis during the course is the design of processes and procedures (algorithms) for solving very complex (wicked) problems as a part of both class discussions and while working on case studies, as well as critiquing the designs so as to clearly understand their limitations. Offered as OPMT 377B, OPMT 477B, and SCMG 477B