This is an archived copy of the 2014-2015 catalog. To access the most recent version of the catalog, please visit http://catalog.iastate.edu.

Industrial Engineering

Administered by the Department of Industrial and Manufacturing Systems Engineering

Undergraduate Study

For the undergraduate curriculum in industrial engineering leading to the degree bachelor of science. The Industrial Engineering Program of this curriculum is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org/ .

The Industrial Engineering (IE) Program educates its future graduates to accomplish its educational objectives in their early careers. Specifically, the IE curriculum prepares its majors so that, within a few years after graduation, graduates’ attainments are

1. industrial engineering decisions that result in well-reasoned, value-added solutions.

2. communications with stakeholders that are informative, persuasive, and constructive.

3. contributions to team goals through effective team interactions and leadership.

4. new skills and knowledge that advance professional practice and enable career advancement.

Details on industrial engineering program outcomes that foster the attainment of these objectives are available at appropriate sections of: www.imse.iastate.edu

The industrial engineering undergraduate curriculum provides students with fundamental knowledge in mathematics and science, engineering science, social science, and humanities as well as professional industrial engineering course work. Management electives provide students with an opportunity to become familiar with modern business practices that they will encounter in their career. A senior capstone design course provides students with an opportunity to solve open-ended industrial problems with an industrial partner. The cooperative education program provides students with real world experience in the profession and a good perspective on career choices. Students are encouraged to participate in international experiences through exchange programs and industrial internships.

Qualified juniors and seniors interested in graduate studies may apply to the Graduate College to concurrently pursue both B.S. and M.S. or M.Eng. degrees in Industrial Engineering, or B.S. and M.B.A. degrees.

Engineering Sales

The Engineering Sales Minor is multidisciplinary and open to undergraduates in the College of Engineering. The minor is earned by completing 15 credits including:

I E 450	Technical Sales for Engineers I	3
I E 451	Technical Sales for Engineers II	3
MKT 340	Principles of Marketing	3
MKT 343	Personal Sales	3
And one of the following:		3
I E 305	Engineering Economic Analysis
FIN 301	Principles of Finance
Total Credits		15

The minor must include at least 9 credits that are not used to meet any other department, college, or university requirement.

Graduate Study

The department offers programs for the degrees master of engineering, master of science and doctor of philosophy with a major in industrial engineering. A formal minor is available at the M.S. and Ph.D. levels to graduate students having a major in another department. The M.Eng. degree consists of coursework designed to improve professional expertise in industrial engineering. The M.S. and Ph.D. degrees are designed to improve the student’s capability to conduct research as well as their professional expertise.

The prerequisite to major graduate work is the completion of a curriculum similar to that required of undergraduate students in engineering at this institution. Because of the diversity of industrial engineering topics, it is possible for a student to qualify for graduate study even though undergraduate or prior graduate training has been in a discipline other than engineering; e.g., mathematics or physics. However, completion of a math sequence of calculus through differential equations is required.

With the help of a program of study committee, a graduate student develops an educational program in areas within industrial engineering. Typical areas of concentration include ergonomics/human factors, engineering management, human computer interfaces, advanced manufacturing systems, operations research, and information engineering.

The department offers a certificate in advanced manufacturing, in collaboration with the mechanical engineering department, which consists of four graduate courses selected from an approved list in both departments.

For additional information about graduate degree programs, admission criteria, and procedures refer to https://www.imse.iastate.edu/graduate-program/ .

Curriculum in Industrial Engineering

Administered by the Department of Industrial and Manufacturing Systems Engineering.

Leading to the degree bachelor of science.

Total credits required: 122 cr. See also Basic Program and Special Programs. Grades of C or better are required for any transfer credit course that is applied to the degree program.

International Perspectives: 3 cr.¹

U.S. Diversity: 3 cr.¹

Communication Proficiency/Library requirements: 7 cr.

ENGL 150	Critical Thinking and Communication (C or better in this course)	3
ENGL 250	Written, Oral, Visual, and Electronic Composition (C or better in this course)	3
LIB 160	Information Literacy	1
Total Credits		7

Remaining Communication courses: 6 cr.

ENGL 314	Technical Communication	3
SP CM 212	Fundamentals of Public Speaking	3
Total Credits		6

Social Sciences and Humanities Electives: 12 cr.²

Six of twelve credits must be from 200-level or above courses. Six credits must be sequential or related courses.

Basic Program: 27 cr.³

(A minimum GPA of 2.00 required for this set of courses, including any transfer courses).

CHEM 167	General Chemistry for Engineering Students	4
ENGL 150	Critical Thinking and Communication	3
ENGL 250	Written, Oral, Visual, and Electronic Composition (see above for grade requirements)	3
ENGR 101	Engineering Orientation	R
I E 148	Information Engineering ³	3
LIB 160	Information Literacy	1
MATH 165	Calculus I	4
MATH 166	Calculus II	4
PHYS 221	Introduction to Classical Physics I (see Basic Program rule)	5
Total Credits		27

Math and Physical Science: 17 cr.

MATH 265	Calculus III	4
MATH 267	Elementary Differential Equations and Laplace Transforms	4
PHYS 222	Introduction to Classical Physics II	5
STAT 231	Probability and Statistical Inference for Engineers	4
Total Credits		17

Industrial Engineering Core: 34 cr.

^{(A minimum GPA of 2.00 required for this set of courses, including any transfer courses).}

I E 222	Design & Analysis Methods for System Improvements	3
I E 248	Engineering System Design, Manufacturing Processes and Specifications	3
I E 271	Applied Ergonomics and Work Design	3
I E 305	Engineering Economic Analysis	3
I E 312	Optimization	3
I E 341	Production Systems	3
I E 348	Solidification Processes	3
I E 361	Statistical Quality Assurance	3
I E 413	Stochastic Modeling, Analysis and Simulation	4
I E 441	Industrial Engineering Design	3
I E 448	Manufacturing Systems Engineering	3
Total Credits		34

Other Remaining Courses: 26 cr.²

MAT E 273	Principles of Materials Science and Engineering	3
E M 274	Statics of Engineering	3
E E 442	Introduction to Circuits and Instruments	2
M E 231	Engineering Thermodynamics I	3
Focus Electives		6
Management Electives		3
Engineering Topic Electives		6
Total Credits		26

Seminar/Co-op/Internships:

I E 101	Industrial Engineering Profession	R
Optional co-op/internship courses

These university requirements will add to the minimum credits of the program unless the university-approved courses are also allowed by the department to meet other course requirements within the degree program.
U.S. diversity and international perspectives courses may not be taken Pass/Not Pass.
For Social Sciences and Humanities, Focus, Management, and Engineering Topic Electives, choose from the department approved list.
See Basic Program for Professional Engineering Curricula for accepted substitutions for curriculum designated courses in the Basic Program.

See also the following grid showing course template by semester: 4-Year Plan of Study for Industrial Engineering.

Courses

Courses primarily for undergraduates:

I E 101. Industrial Engineering Profession.

Cr. R. F.S.
(1-0) Introduce students to the industrial engineering profession, its scope, industrial engineering tools, and future trends.

I E 148. Information Engineering.

(2-2) Cr. 3. F.S. Prereq: Credit or enrollment in MATH 142
Development of information solutions for engineering problems. Fundamentals of the software development process. Engineering computations and the human/computer interface. Data models and database development. Program connectivity and network applications.

I E 222. Design & Analysis Methods for System Improvements.

(3-0) Cr. 3. S. Prereq: I E 248; credit or enrollment in I E 271.
Study of system improvement methods and strategies. Specific areas of lean system improvements include continuous improvement, setup reduction, workplace organization, inventory and waste minimization. Methods and strategies to analyze and quantify the impact of changes.

I E 248. Engineering System Design, Manufacturing Processes and Specifications.

(2-2) Cr. 3. F. Prereq: MATH 166 and PHYS 221. Credit or enrollment in I E 101 and MAT E 273.
Introduction to metrology, engineering drawings and specifications. Engineering methods for designing and improving systems. Theory, applications, and quality issues related to machining processes.

I E 271. Applied Ergonomics and Work Design.

(3-0) Cr. 3. S. Prereq: PHYS 221
Basic concepts of ergonomics and work design. Their impact on worker and work place productivity, and cost. Investigations of work physiology, biomechanics, anthropometry, work methods, and their measurement as they relate to the design of human-machine systems.

I E 298. Cooperative Education.

Cr. R. F.S.SS. Prereq: Permission of department and Engineering Career Services
First professional work period in the cooperative education program. Students must register for this course before commencing work.

I E 305. Engineering Economic Analysis.

(3-0) Cr. 3. F.S.SS. Prereq: MATH 166
Economic analysis of engineering decisions under uncertainty. Financial engineering basics including time value of money, cash flow estimation, and asset evaluation. Make versus buy decisions. Comparison of project alternatives accounting for taxation, depreciation, inflation, and risk.

I E 312. Optimization.

(3-0) Cr. 3. F. Prereq: Credit or enrollment in MATH 267.
Concepts, optimization and analysis techniques, and applications of operations research. Formulation of mathematical models for systems, concepts, and methods of improving search, linear programming and sensitivity analysis, network models, and integer programming.

I E 341. Production Systems.

(3-0) Cr. 3. F. Prereq: STAT 231; credit or enrollment in I E 312
Introduction of key concepts in the design and analysis of production systems. Topics include inventory control, forecasting, material requirement planning, project planning and scheduling, operations scheduling, and other production systems such as Just-In-Time (JIT), warehousing, and global supply chains.

I E 348. Solidification Processes.

(2-2) Cr. 3. S. Prereq: I E 248 and MAT E 273.
Theory and applications related to metal casting, welding, polymer processing, powder metallurgy, and composites manufacturing.

I E 361. Statistical Quality Assurance.

(Cross-listed with STAT). (2-2) Cr. 3. F.S. Prereq: STAT 231, STAT 301, STAT 326 or STAT 401
Statistical methods for process improvement. Simple quality assurance principles and tools. Measurement system precision and accuracy assessment. Control charts. Process capability assessment. Experimental design and analysis for process improvement. Significant external project in process improvement.

I E 396. Summer Internship.

Cr. R. Repeatable. SS. Prereq: Permission of department and Engineering Career Services
Summer professional work period.

I E 397. Engineering Internship.

Cr. R. Repeatable. F.S. Prereq: Permission of department and Engineering Career Services
Professional work period for a maximum of one semester per academic year. Offered on a satisfactory-fail basis only.

I E 398. Cooperative Education.

Cr. R. F.S.SS. Prereq: I E 298, permission of department and Engineering Career Services
Second professional work period in the cooperative education program. Students must register for this course before commencing work. Offered on a satisfactory-fail basis only.

I E 403. Introduction to Sustainable Production Systems.

(Dual-listed with I E 503). (3-0) Cr. 3. Alt. S., offered odd-numbered years. Prereq: Credit or enrollment I E 341
Quantitative introduction of sustainability concepts in production planning and inventory control. Review of material recovery (recycling) and product/component recovery (remanufacturing) from productivity perspectives. Sustainability rubrics ranging from design and process to systems. Application to multi-echelon networks subject to forward/backward flow of material and information. Closed-loop supply chains. Comparative study of sustainable vs. traditional models for local and global production systems.

I E 413. Stochastic Modeling, Analysis and Simulation.

(4-0) Cr. 4. F. Prereq: MATH 267, STAT 231
Development and analysis of simulation models using a simulation language. Application to various areas of manufacturing and service systems such as assembly, material handling, and customer queues. Utilizing model output to make important business decisions. Fitting of data to statistical distributions. Introduction to Markov processes and other queuing models.

I E 441. Industrial Engineering Design.

(1-6) Cr. 3. F.S. Prereq: I E 248, I E 271, I E 361; credit or enrollment in I E 341, I E 413, and I E 448
A large, open-ended design project related to an enterprise. Application of engineering design principles including problem definition, analysis, synthesis, and evaluation.

I E 446. Geometric Variability in Manufacturing.

(Dual-listed with I E 546). (3-0) Cr. 3. Alt. S., offered odd-numbered years. Prereq: I E 348, or MAT E 216, or M E 324
Assessment, accommodation, and control of geometric variability in manufacturing processes, specifically composites, metalcasting, welding, machining, and powder metallurgy. Techniques include the design of the component, tooling and process plan. The use of contact and noncontact measurement methods to assess variation.

I E 448. Manufacturing Systems Engineering.

(3-0) Cr. 3. S. Prereq: I E 248, I E 305
Fixturing and tooling requirements for manufacturing process planning, geometric dimensioning and tolerancing, computer aided inspection, cellular and flexible manufacturing, and facility layout. Lean manufacturing principles and controlled flow production.

I E 449. Computer Aided Design and Manufacturing.

(Dual-listed with I E 549). (3-0) Cr. 3. Alt. F., offered even-numbered years. Prereq: Prereq: I E 248 or similar manufacturing engineering course, MATH 265.
Representation and interpretation of curves, surfaces and solids. Parametric curves and surfaces and solid modeling. Use of CAD software and CAD/CAM integration. Computer numerical control, CNC programming languages, and process planning.

I E 450. Technical Sales for Engineers I.

(3-0) Cr. 3. F. Prereq: Credit or enrollment in I E 305.
Sales process methodology, techniques for building professional relationships, sales automation software, prospecting and account development, market analysis and segmentation, responding to RFQ's and RFP's in written and verbal form. Developing technical value propositions and competitive positioning, evaluating organizational decision processes and people, technical marketing strategies, sales closing strategies.

I E 451. Technical Sales for Engineers II.

(3-0) Cr. 3. S. Prereq: I E 450
Case studies and experiential lessons on the development and application of technical sales strategies. Specific topics include developing pricing and distribution strategies, managing a sales staff and channel, developing sales teams and global sales plans, bid and negotiation strategies, time management skills, and implementing sales automation technologies.

I E 466. Multidisciplinary Engineering Design.

(Cross-listed with A B E, AER E, CPR E, E E, ENGR, M E, MAT E). (1-4) Cr. 3. Repeatable. F.S. Prereq: Student must be within two semesters of graduation and receive permission of instructor
Application of team design concepts to projects of a multidisciplinary nature. Concurrent treatment of design, manufacturing, and life cycle considerations. Application of design tools such as CAD, CAM, and FEM. Design methodologies, project scheduling, cost estimating, quality control, manufacturing processes. Development of a prototype and appropriate documentation in the form of written reports, oral presentations and computer models and engineering drawings.

I E 467. Multidisciplinary Engineering Design II.

(Cross-listed with AER E, CPR E, E E, ENGR, M E, MAT E). (1-4) Cr. 3. Repeatable, maximum of 2 times. F.S. Prereq: Student must be within two semesters of graduation or receive permission of instructor.
Build and test of a conceptual design. Detail design, manufacturability, test criteria and procedures. Application of design tools such as CAD and CAM and manufacturing techniques such as rapid prototyping. Development and testing of a full-scale prototype with appropriate documentation in the form of design journals, written reports, oral presentations and computer models and engineering drawings.

I E 481. e-Commerce Systems Engineering.

(Dual-listed with I E 581). (3-0) Cr. 3. Alt. F., offered even-numbered years. Prereq: I E 148
Design, analysis, and implementation of e-commerce systems. Information infrastructure, enterprise models, enterprise processes, enterprise views. Data structures and algorithms used in e-commerce systems, SQL, exchange protocols, client/server model, web-based views.

I E 483. Knowledge Discovery and Data Mining.

(Dual-listed with I E 583). (3-0) Cr. 3. Alt. F., offered even-numbered years. Prereq: I E 148, I E 312, and STAT 231
Introduction to data warehouses and knowledge discovery. Techniques for data mining, including probabilistic and statistical methods, genetic algorithms and neural networks, visualization techniques, and mathematical programming. Advanced topics include web-mining and mining of multimedia data. Case studies from both manufacturing and service industries. A computing project is required.

I E 490. Independent Study.