Industrial Engineering - Supply Chain Analytics Concentration

The supply chain analytics concentration teaches you data-driven problem solving and analytical skills pertaining to demand forecasting, procurement of raw materials and parts, inventory management, production planning and distribution network optimization within complex supply chain systems.

Preparing You for Success

As a supply chain analytics major, you learn how business interests work together with engineering principles to provide goods and services for the global economy. Industrial engineering core courses give you a foundation in engineering analysis, statistics, math and computer applications. Additionally, in this concentration, you learn data analytics, supply chain design and operations.

By the time you graduate, your experiences may include:

• Designing and optimizing supply chain systems
• Data-driven, scientific management with descriptive, predictive and prescriptive analytical skills
• Analysis of service-production-inventory systems using planning and scheduling techniques
• Networking and professional development through student organizations, such as the American Society for Quality, the Institute of Industrial and Systems Engineers and APICS (the association for supply chain management)
• Research projects, study abroad programs, co-op programs, internships and a semester-long senior design project.

Making Your Mark

The supply chain analytics concentration is valuable in manufacturing, retail and service industries, such as hospitals, government, automotive/electronics manufacturers, logistics companies and consulting firms. In recent years, almost all industrial engineering students found jobs or continued their education within six months of graduation. They’re working at places such as Accenture, Amazon, Caterpillar, John Deere, Kohler, Microsoft and SpaceX.

Accreditation

Bradley's industrial engineering program is accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org.

Major Requirements

Required Courses - 46 hrs.

• IME 101: Introduction to Industrial and Manufacturing Engineering - 1 hr.
• IME 103: Computer Aided Graphics - 2 hrs.
• IME 110: Introduction to Computers and Computational Analysis - 3 hrs.
• IME 301: Engineering Economy I - 3 hrs.
• IME 311: Intro to Engineering Statistical Methods - 3 hrs.
• IME 313: Operations Research I - 3 hrs.
• IME 331: Fundamentals of Materials Science - 3 hrs.
• IME 341: Introduction to Manufacturing Processes - 3 hrs.
• IME 386: Industrial and Managerial Engineering - 3 hrs.
• IME 401: Engineering Economy II – 3 hrs.
• IME 412: Design and Analysis of Experiments - 3 hrs.
• IME 422: Manufacturing Quality Control - 3 hrs.
• IME 461: Simulation of Manufacturing and Service Systems - EL – 3 hrs.
• IME 466: Facilities Planning - 3 hrs.
• IME 485: Occupational Ergonomics - 3 hrs.
• IME 499: Senior Design Project - 4 hrs.

Approved Technical Elective Courses - 21 hrs.

The Supply Chain Analytics concentration requires the Industrial Engineering curriculum with the following courses as the Approved Technical Electives:

The Supply Chain Analytics Concentration requires the following Technical Electives.

• IME 468: Engineering Analytics 1 - 3 hrs.
• IME 486: Logistics and Supply Chain Systems - 3 hrs.

Choose two courses from the following list (6 hrs.)

• IME 314: Operations Research II – 3 hrs.
• IME 478: Engineering Analytics II – 3 hrs.
• IME 483: Production Planning and Control – 3 hrs.
• ECO 355: Supply Chain Economics – 3 hrs.
• MTG 388: Global Supply Chain Management – 3 hrs.
• MTG 394: Supply Chain Tools and Techniques – 3 hrs.
• MIS 471: Business Analytics Software and Applications II – 3 hrs.
• MIS 473: Data Visualization for Business Analytics – 3 hrs.

Two additional IME non-required courses above 300-level (6 hrs.)

Additional Technical Electives from the complete list of Approved Technical Electives (3 hrs.)

Total Hours - 124