Subject: SCMG

Term: Spring 2025

SCMG 420: Experiential Learning with Six Sigma Green Belt (101/2850)

W 06:00-08:30 PM Jan 13-Apr 28

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 (100/2797)

T 03:00-05:45 PM Jan 14-Feb 25

Mathur, K

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 (100/2798)

T 03:00-05:45 PM Mar 04-Apr 22

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 475: Global Supply Chain Logistics (100/2804)

MW 12:45-02:00 PM Jan 13-Apr 28

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 (100/2801)

R 06:00-08:30 PM Jan 16-Feb 27

Zokaeinikoo, M

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 (100/2802)

R 06:00-08:30 PM Mar 06-Apr 24

Zokaeinikoo, M

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

SCMG 480: Blockchain Technology in Supply Chain Management (100/2806)

R 11:30-02:15 PM Mar 06-Apr 24

Kazemian, P

This course is intended to provide students with a solid foundation in blockchain basics and recent innovations and how this emerging technology can disrupt supply chains by addressing problems related to inefficiency, opacity, and fraud. We will cover fundamentals of blockchain technology such as distributed ledger, public key cryptography, the Bitcoin protocol, and proof-of-work consensus mechanism, as well as the Ethereum blockchain, proof-of-stake, smart contracts, oracles, layer 2 scaling solutions, and Solidity for implementing smart contracts. Furthermore, the course explores how blockchain technology can aid supply chain systems in lowering costs, ensuring product quality, enhancing speed, minimizing risks, promoting flexibility, and facilitating sustainable practices. The course also discusses various applications of blockchain technology in supply chain management, including its use in the food and beverage industry, healthcare and pharmaceutical industry, and supply chain finance. Lastly, the course highlights how combining blockchain technology with other cutting-edge technologies, such as artificial intelligence (AI), can amplify its value to supply chains. Offered as OPMT 480 and SCMG 480.

SCMG 481: Artificial Intelligence for Business Management (100/10093)

R 11:30-02:15 PM Jan 16-Feb 27

Kazemian, P

In an era marked by rapid technological advancements and an abundance of data, the role of Artificial Intelligence (AI) in transforming business practices has become pivotal. This course aims to demystify AI and elucidate its rapidly growing influence in the business world. We will cover the fundamentals of AI, its practical applications in various business sectors, and the strategic integration of AI in business processes. Throughout this course, students will delve into the core technologies underpinning AI, including deep learning, computer vision, natural language processing, and generative AI, and explore how these technologies are revolutionizing marketing, finance, accounting, operations, supply chain management, and customer relations. The course also provides a high-level overview of how AI is employed in decision-making and improving business operations. Furthermore, the course addresses the crucial aspects of ethics, legal compliance, and societal impacts of AI implementation in business. By exploring case studies and real-world applications, students will gain a nuanced understanding of the opportunities and challenges presented by AI in the business context. This course requires no coding background and is tailored for management and business students. Familiarity with basic statistical methods (e.g., linear regression) is needed. Offered as OPMT 481 and SCMG 481.