PROBLEM

graduate Minor in lean manufacturing and Analytics  

Department of Industrial Engineering 

This graduate option within the Industrial Engineering major distinguishes an area of specialization within the broader discipline of industrial engineering. Manufacturing Systems Engineering focuses on the development of reliable, economically competitive, and environmentally benign manufacturing processes and systems. Topical areas include operations research, computer integrated manufacturing, environmentally responsible manufacturing, simulation, and statistical quality engineering.

· Business majors interested in strengthening their background in quantitative production operations management.

· Computer Science majors interested in advanced optimization techniques.

· Mechanical Engineering majors interested in development and implementation of integrated manufacturing systems.

· Civil Engineering majors focusing on transportation where advanced optimization techniques may be useful.

The Required Courses:

Code	Title	Credits
Core Courses
IE 535	Discrete Optimization	3
Or IE 571	Advanced Quality Control	3
Electives
Select two of the following:	9
IE 533	Linear Programming
IE 534	Nonlinear Programming
IE 523	Advanced Engineering Economy
IE 563	Topics in Engineering Administration
IE 545	Characterizing Time-Dependent Engineering Data
IE 561	Advanced Safety Engineering
IE 567	Design and Implementation of Discrete-Event Simulation
IE 525	Systems Synthesis and Design

What will I learn?

· Discrete Optimization: Combinatorial Optimization problems using both integer programming and graph theoretic approaches. Emphasis on modeling and computational algorithms.

· Advanced Quality Control: Advanced topics in quality control and design of experiments for improvement of quality.

· Linear Programming: Linear programming problem formulation, simplex algorithm, theory of linear programming, duality, revised simplex algorithm, and sensitivity analysis.

· Nonlinear Programming: Theoretical and computational methods to solve optimization problems in engineering, statistics, economics, and operations research. Topics include convexity, optimality conditions, Newton's method, Lagrange multipliers, search algorithms for unconstrained and constrained problems, as well as barrier and penalty methods. 

· Management of Information Security: Provides management overview of information security and thorough examination of administration of information security. Surveys field of information security including planning, policy and programs, protection and people relative to information security.

· Advanced Engineering Economy: Theoretical basis for engineering economy methods, problems of cost estimation, replacement, nonmonetary factors, and feasibility studies.

· Topics in Engineering Administration: Study of qualitative and quantitative aspects. Consideration given to philosophical, psychological, political and social implications of engineering administrative decisions.

· Advanced Safety Engineering: Regulation as well as qualitative, and quantitative methods to achieve and maintain safety in the workplace. Includes liability, worker's compensation, OSHA, hazard control, safety assessment, cost justification, and system analysis.

· Design and Implementation of Discrete-Event Simulation: Basic modeling concepts, organizations of simulations, input data analysis, random variate generation, simulation design and analysis, model validation, output analysis, and management of simulations.

· Systems Synthesis and Design: Examination of the production management complex in terms of its components and the synthesis of these components into an effective operating unit. Development of input-output models representing the basis structure of all production activities.

Why study Supply Chain Engineering at NMSU?

The NMSU supply chain initiative will assist you in developing scalable production strategies for small and medium-sized businesses. You'll contribute to the development of a methodology for assessing the quality manufacturability of new designs from an assembly standpoint. This policy applies to all manufacturing and transportation/distribution-related service sectors.

Prerequisites:

Students who do not have a Bachelor of Science degree in industrial engineering may be admitted and required to complete the bridge program, especially in the areas of statistics, cost analysis and engineering economics. Bridge courses do not count toward degree requirements.

Related Degree Programs:

The graduate certificate in Supply Chain Engineering relates directly to the NMSU MS in Industrial Engineering, MS in Engineering Management, and MS in Manufacturing Systems Engineering.