Bradley University

Masters Program in Industrial Engineering

The Industrial & Manufacturing Engineering & Technology Department at Bradley University offers a masters program leading to the MSIE degree. The program is designed to give advanced professional education to practicing engineers as well as academic preparation for further education towards a doctoral degree.

The program requires a minimum of 30 hours of graduate course including 12 hours of the following core courses:

IE 511 Eng Statistical Analysis		3 hrs
IE 514 Introduction to OR		3 hrs
IE 516 Simulation of Man/Mach Sys	3 hrs
IE 564 Production Planning/Control	3 hrs
A student may complete masters project for 3 hours may to demonstrate the ability to independently solve an unstructured IE problem or to extend their knowledge in any IE field by selfstudy. A thesis option for 6 hours requiring demonstration of creative research abilities is available. Both these options require both a defense of project/thesis and an oral comprehensive examination. A 36 hour option is available with a written comprehensive examination; at least one of the extra courses must be taken from the Mathematics Department.

Remaining hours may be taken from a number of electives. Currently specialization in the areas of Quality Sciences, Production and Inventory Planning, or Manufacturing Management is possible by appropriate selection of elective courses. The elective hours can be taken from the following list in any combination that suits the student's educational or career interest. Any course not on the list must be approved by the graduate advisor in order to count toward the degree.

Full time students may be able to complete the program in twelve to twenty months depending upon prior preparation. Part time students may take five years to complete the requirements for this degree.

Electives

I. Industrial Engineering

IE 512 Design of Experiments
IE 515 Linear Programming
IE 522 Mfg Quality Control
IE 528 Human Factors Engineering
IE 530 Reliability Engineering
IE 582 Adv Quality Control
IE 584 Adv Production Planning
IE 588 Engineering Expert Systems
IE 590 Topics in IE
IE 605 Advanced IE Problems
IE 681 Research
IE 699 Thesis

II. Manufacturing Engineering

MFE 525 Design for Manufacturability
MFE 531 Nonmetallic Materials
MFE 533 Composite Materials
MFE 541 Forming Processes
MFE 543 Material Removal
MFE 545 Joining & Fabrication
MFE 551 Process Engineering
MFE 563 Adv CAM
MFE 565 CIM
MFE 667 Industrial Machine Vision

III. Business Administration

BMA 602  	Organizational Behavior
ATG 604   	Managerial Accounting
BMA 620 	Management Theory
IB  656       	International Business Admin.

IV. Mathematics

MTH 510 Numerical Methods I
MTH 515 Finite Elements

V. Computer Science

CS 521 Artificial Intelligence
CS 572 Computer Services Management
Students are required to meet any prerequisites for these electives or arrange waiver with the appropriate department. No more than 4 courses may be taken outside the IE department.

Transfer of Credit

The IE department follows the Graduate School regulations on transfer of credit. In general, no more than six hours of work from another school will be accepted for credit towards the MSIE degree.

Plan of Study

Each student must file a plan of study for the degree with the graduate advisor before completion of 12 hours of graduate work. Any modifications to the plan need to be approved in writing. Forms are available through the Graduate School.

Project/Thesis

A student may register for the masters project after completion of at least 15 hours of approved course work, a thesis after 21.

The student must select an IE faculty member as major advisor who will guide the project/thesis to completion. A second member of the graduate faculty should be chosen to add to the resources available to the student during this work.

A proposal for the project/thesis is then defended before a panel of three faculty members prior to formal registration for research. The final report of the project/thesis must be defended in an oral presentation to the faculty.

In general, the department expects publishable work as a result of the project or thesis. Full rules for either project or thesis are avaiable from the graduate advisor.

Admission

Admission is selective and open to holders of undergraduate degrees in engineering, science, or mathematics who meet Graduate School admission requirements. Strength in mathematics is of primary concern. Those with science or mathematics degrees should have worked in an engineering environment for at least three years. Those without preparation in engineering economy and/or accounting are required to take the prerequisite course IE 500, Engineering Economy and Costs, those without preparation in statistics and linear programming are required to take IE 503; these courses will not count towards the required 30/36 hours of work. Candidates with other qualifications will be considered on a case by case basis. The major criteria for judgement will be preparation in mathematics and knowledge of engineering fundamentals.

International students should have a TOEFL score of 550 minimum with 52 on section 1 of the test. Those with a TOEFL score below 525 are required by the University to take a not-for- credit course in English; others may study for one year to re-take the TOEFL.

Financial Assistance

A limited number of assistantships which require ten to twenty hours of work per week are available to deserving candidates. These provide 11 or 21 hours of tuition remission and a stipend. Application should be made through the Graduate School by March 1 or October 1 for the following semester.

Scholarships based on academic excellence or need are available through the Graduate School. In general, international students are not eligible for either form of assistance prior to completing 12 hours of resident work.

Faculty - IE

Dr. Joseph T. Emanuel - PhD., Ohio State University - Applied Statistics, Design of Experiments, Engineering Psychology

Dr. K. S. Krishnamoorthi - PhD., SUNY at Buffalo - Applied Statistics, Quality Assurance, Reliability, Plant Design, TQM

Dr. Dennis E. Kroll - PhD., University of Illinois (U-C) - Production Planning, Applied Operations Research, Engineering Economics

Dr. Chen-Sin Lin - PhD., University of Florida - Production Scheduling, Stochastic Optimization, Engineering Statistics

Dr. Rita Newton - PhD., SUNY at Buffalo - Operations Research, Probability and Statistics, Simulation

Dr. Fariborz (Fred) Tayyari, P.E. - PhD., Texas Tech. - Ergonomics & Human Factors Engineering, Engineering Costs

There are eight other faculty members in the Manufacturing area of the department.

Research

The following is a sample list of research topics of current interest to the faculty:
- Economic design of control charts
- Predicting and controlling quality costs
- Work station design for VDTs
- Scheduling for automated production systems
- Cost justification of CIM systems
- Designing tools for the worker
- Worker health, safety and efficiency
- Optimizing production and inventory systems
- Work measurement for disabled workers
- Performance measures for Group Technology

Sample Programs

I.  Quality Sciences

	IE core courses		12 hrs
	IE 522	IE 530
	IE 512	IE 582		12 hrs
	IE 681 Research		 3 hrs
	Elective		 3 hrs

II. Production/Inventory Planning

	IE core courses		12 hrs
	IE 522	 
	IE 515	IE 584		 9 hrs
	IE 681 Research		 3 hrs
	Electives		 6 hrs

III. Manufacturing Management

	IE core courses		12 hrs
	Atg 604 BMA 620		 6 hrs
	IE 522			 3 hrs
	MFE electives		 6 hrs
	IE 681 Research		 3 hrs
For the 36 hour option, remove the IE 681 course and substitute a Math course and two further electives. These sample programs are meant to be suggestive and are not necessarily the program any one student would decide to take.

For further information call or write:

 	Dr. Fred Tayyari
	IMET - Morgan 110
	Bradley University
	Peoria, Illinois 61625
	(309) 677-2740   fax 677-2853
	
ft@bradley.bradley.edu (internet) 5/97


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