Program Overview

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Industrial Engineering and Management Sciences

The Industrial Engineering and Management Sciences department offers various programs, including undergraduate and graduate degrees.

Undergraduate Program

The undergraduate program in Industrial Engineering provides students with a comprehensive education in the principles and practices of industrial engineering. The program includes coursework in areas such as:

• Operations research methods
• Production planning and inventory control
• Forecasting
• Aggregate planning
• Deterministic and stochastic inventory control
• MRP
• JIT
• Variability
• Scheduling in production and service systems

The program also includes case studies, homework, and exams to provide students with practical experience and assessment.

PhD Program

The PhD program in Industrial Engineering is designed for students who wish to pursue advanced research in the field. The program includes coursework in areas such as:

• Research methods
• Statistical analysis
• Optimization techniques
• Stochastic processes
• Simulation modeling

The program also includes original research contributions and a dissertation.

Professional MS Programs

The department offers professional MS programs in areas such as:

• Operations research
• Production planning and inventory control
• Supply chain management
• Logistics and transportation

These programs are designed for working professionals who wish to advance their knowledge and skills in specific areas of industrial engineering.

Courses

The department offers a range of courses, including:

• IEMS 382: Operations Engineering and Management
• IEMS 302: Introduction to Operations Research
• IEMS 310: Production Planning and Inventory Control
• IEMS 313: Forecasting and Time Series Analysis

These courses provide students with a comprehensive education in the principles and practices of industrial engineering.

Research Areas

The department has research areas in:

• Applied statistics and statistical learning
• Financial engineering
• Healthcare engineering
• Optimization
• Computational social science
• Logistics and operations
• Stochastic analysis and simulation

These research areas provide students with opportunities to engage in cutting-edge research and contribute to the advancement of knowledge in the field.

People

The department has a diverse range of faculty, staff, and students, including:

• Core faculty
• Emeritus faculty
• Affiliated faculty
• Faculty awards and honors
• Graduate students
• PhD graduates
• PhD students on the job market
• Staff
• Researchers
• Visitors
• Distinguished alumni

These individuals contribute to the department's mission and provide students with a supportive and stimulating learning environment.

News and Events

The department hosts various news and events, including:

• Department seminars
• Center for Optimization and Statistical Learning seminars
• Wasserstrom Lecture Series
• Newsletter

These events provide students with opportunities to engage with the academic community and stay up-to-date with the latest developments in the field.

Learning Objectives

The department's learning objectives include:

• Students will learn the basic concepts of managing and controlling production and inventory systems
• Students will learn the operational performance measures of production and inventory systems and will understand how those measures impact firms' financial measures
• Students will learn the principles of lean manufacturing
• Students will learn how to use analytical models to find cost-effective production, inventory, and workforce management and control policies
• Students will learn how variability in production and inventory systems affects system performance
• Students will learn strategies that can directly reduce variability or diminish the negative effects of variability on system performance

Topics

The department covers various topics, including:

• Introduction to production planning and scheduling
• Capacity management and control
• Forecasting using time series
• Aggregate production planning
• Scheduling production and workforce in manufacturing systems
• Variability in production and inventory systems
• Deterministic inventory models
• Stochastic inventory models
• Lean operations
• Risk pooling strategies

Materials

The department uses various materials, including:

• Teaching notes
• Lecture notes
• Books, such as "The Goal" and "Operations Engineering and Management"

These materials provide students with a comprehensive education in the principles and practices of industrial engineering.

Additional Information

The department provides additional information, including:

• Course descriptions
• Program requirements
• Admission criteria
• Tuition fees
• Research areas
• Faculty and staff contact information

This information provides students with a clear understanding of the department's programs and opportunities.