About Department

Department of Industrial and Systems Engineering

Department Overview

Industrial engineering is one of the fastest growing areas of engineering. It is challengingrewarding, and full of opportunities.

Industrial Engineers (IEs) deal with systems. They can design, implement or improve integrated systems comprised of people, materials, information or energy. IEs can develop better ways of doing almost anything in various fields of engineering.

Industrial engineers get jobs as production engineers, supply chain managers, operations analysts, quality engineers and information system specialists. They may work in any business environment, company, governmental agency, or service-oriented enterprise that aims to improve operations and reduce costs.

The Department of Industrial and Systems Engineering offers B.Sc. degree in Industrial Engineering, M.Sc. in Industrial Engineering, Systems Planning, and System Engineering; and Ph.D. in Industrial Engineering.

Department’s Mission                                                                                                 

The mission of the Industrial Engineering Program at Isfahan University of Technology (IUT) is to provide high quality undergraduate and graduate education and research opportunities for students. The Program continuously improves its educational process to help students gain higher levels of engineering education and make professional contribution to the social life.




 Research Activities


The numerous natural resources in Iran and particularly the variety of manufacturing organizations in Isfahan region led to the establishment of an Industrial and Systems Engineering department in 1981. The aim was to meet the growing need for production planning and management. It was in this department that, for the first time in Iran, a graduate program in systems planning was offered. The program aimed training analysts capable of identifying and solving problems of manufacturing management. The department has usually sought solutions to problems of industry through quantitative approaches. Part of the approach entails the development of mathematical models for problems under study to be ultimately solved by computer.



Currently at our Department

Teaching and research activities within our department can be categorized into the following areas:

Logistics and Supply Chain Management

  • Multi-Commodity Flow Distribution Network Design
  • Closed Loop Supply Chain
  • Supply Chain Risk and Uncertainty
  • Coordination of Inventory, Scheduling and Transportation
  • Vendor Managed Inventory
  • Warehousing, Transportation, and Supply Contracting


Modeling and Analysis of Production and Manufacturing

  • Lean Manufacturing Practices
  • Facility Design
  • Material Handling
  • Production Planning and Control
  • Fast Hybrid Analytical Modeling/Simulation Capabilities
  • Flow and Queue Analysis of Wafer Fabrication
  • Electronics Manufacturing, Assembly, Packaging, and Testing
  • Cost Modeling of Process Equipment and Facilities

·           Modeling and Analysis of Probabilistic Systems Air Traffic Scheduling

·           Control within Fabrication Facilities

·           Optimal Replacement Analysis

·           Queuing and Flow Modeling

·           Maintenance Science

·           Statistical analysis


·         Linear, Nonlinear and Integer Programming

  • Intelligent Heuristics
  • Graph Theory
  • Stochastic Optimization
  • Biological Systems (Bioinformatics)

Quality and Reliability Engineering

  • Analysis and Design of Distributed Sensor Systems
  • Data-Mining Methods
  • Multivariate Analysis Methods for Process Monitoring, Diagnostics, and Control
  • Systems Reliability and Maintainability
  • Quality Management Systems
  • Integrated Management Systems

Transportation Systems

  • Human Interface with Equipment, Vehicles and Transportation Facilities
  • Intelligent Vehicle/Highway Systems
  • Operator Performance Measures
  • Highway Traffic Operations
  • Urban Traffic Systems
  • Rail Transport Systems


Enterprise Systems

  • Capacity Planning
  • Disruption Management
  • Enterprise Risk Profiling
  • Strategic Management
  • Knowledge Management

Management and Decision Analysis

  • Decision Making Under Uncertainty
  • Modeling of Probabilistic Dependence
  • Individual and Corporate Risk Preference and Analysis
  • Probability Assessment
  • Engineering and Project Management

Modeling and Analysis of Service Systems

  • Revenue Management
  • Workforce Agility
  • Healthcare Delivery Systems
  • Healthcare Treatment Planning

Labs and Facilities

Laboratories in the Department of Industrial and Systems Engineering are fully equipped to support the teaching and research activities of the faculty members and graduate students. They include:


The department of industrial engineering is one of the most equipped departments of the country. The CAD/CAM & Automation Center includes two well-equipped labs, namely the automation and CNC. In the automation lab students learn PLC, ROBOT programming, FMS planning, and automatic storage systems using an advanced FESTO pneumatic simulator. The lab is enriched recently by a complete set of hydraulic simulator.

In the CNC lab students learn how to develop their designs in software environments like AutoCAD, CATIA, and MasterCAM. Turning, Milling and Wire-cut CNC machines are used by students to practice and produce sample components.

The department also enjoys an excellent Metrology Lab, equipped with an advanced Zeiss Coordinate Measuring Machine (CMM) with an accuracy of 0.2 micrometer.

The Computer Lab, for instruction, experimental projects and research; equipped with up-to-date workstations and numerous output devices such as plotters, printers, and graphical displays. A large selection of software and graphic packages is available.






The undergraduate program is designed to develop the technical skills and intellectual disciplines needed by our graduates to become leaders in industrial engineering and related professions. Students entering the department are encouraged to consider the wide range of possibilities open to them. To this end, the first and second years of the four-year undergraduate program include approximately 40 credits that expose students to a cross-fertilization of ideas from different disciplines at the university.

The sequence of study proceeds from an engagement with engineering and scientific fundamentals, along with humanities and social sciences, toward an increasingly focused training in the third and fourth years designed to give students mastery of certain principles and arts central to different aspects of industrial engineering.  This sequence leads to four different undergraduate concentrations including management & production planning, planning & systems analysis, industrial automation, and quality management & productivity.


Undergraduate students must take 20 credits from general courses, 28 credits from basic courses, 70 credits from compulsory courses and 22 credits from elective courses (total 140 credits) to achieve a B.Sc. in industrial Engineering.


                                     Compulsory Courses (67 Units)



Course  TITLE


Metal Forming Workshop


Technical Drawing I


Engineering Probability


Machine Tools Workshop I


Technical Drawing II




Production Processes I


Fundamentals of Operations Research


Operations Research I


Strength of Materials


Materials Science


Economics I


Engineering Statistics


Fundamentals of Electrical Engineering


Motion and Time Study


Economics II


Production and Inventory Control I


Engineering Economics


Quality Control I


Plant Layout I


Project Control and Management




Principles of Accounting & costing


English for Industrial Engineering


Introduction to Industrial Engineering


Training at the Industry I


Technical Report Writing


Management Information Systems






                             Basic Courses (28 Units)



Course TITLE



Calculus I


Physics I


General Chemistry


General Chemistry Lab.


Calculus II


Physics II


Principles of Computer Programming


Physics Lab I


Differential Equations


Numerical Computations


Physics of Electricity Lab









Elective Courses (22 Units)




Course  TITLE


Operations Research II


Production Processes II


Welding Workshop 


Heat Treatment


Foundry Workshop


Machine Tools


Mould and Die Design I


Numerical Control


Mechanical Assemblage


Jig & Fixture Design


Engineering Measurement & Quality Control Lab


Theory of Organization & Management Principles


Production & Inventory Control II


Computer Applications in Industrial Engineering


Human Factors Engineering


Industrial Maintenance Planning


Small Scale Plant Layout


Production Planning


Industrial Safety and Health


Decision Analysis


Salary & Wages Systems


Queuing Theory


Plant Layout II




Fundamentals of Quality Management and Productivity




Transportation Planning


Computer Simulation


Systems Analysis





 M.Sc. Programs


The Department of Industrial and Systems Engineering offers three Master degrees to meet the diverse interests of students seeking to continue their education. These options include: Master of Science in industrial engineering, Master of Science in systems engineering, and Master of Science in systems planning. The department also offers PhD degree in industrial engineering.


Master of Science in Industrial Engineering

The Master of Science degree in industrial engineering allows students to customize their course work while working closely with the faculty, in a contemporary, applied research area.


 Graduate students must take up to 15 credits from general course and 12 credits from core courses, 12 credits from elective courses, seminar (2 credits) and thesis (6 credits), totally 30 credits to obtain M.Sc. degree. For those students whose background is Industrial Engineering no general courses are required.


Master of Science in Systems Engineering

The Master of Science in systems engineering allows graduate students to align their course work with their professional goals. This program provides applied degrees that allow students gain breadth across several different areas or focus on one area.


Master of Science in Systems Planning

Master of Science in systems planning provides the students with systems concepts, principles and methods for developing abilities to understand the nature of systems problems, as well as proficiency in actual systems problem solving.




List of Graduate Courses


1-         Decision Theory

2-         Simulation

3-         Reliability

4-         Integer Programming

5-         Linear & non-linear Programming

6-         Total quality management

7-         Advanced Production Planning

8-         Multiple Criteria Decision Making

9-         Technology Management

10-              Multivariate Analysis

11-              Strategic Planning

12-              System Dynamics

13-              Organizational Learning & Knowledge management

14-              Transportation Systems analysis

15-              Demand in Transportation

16-              Economic analysis

17-              Automatic Systems, Design and Implementations








 Mathematical Methods      3 Cr. A review of linear algebra and dynamic systems


 Advanced Microeconomics  3 Cr. A complete course in theoretical Micro-Economics including consumer theory, producer theory, price mechanism in monopoly, duopoly, oligopoly and perfect competition markets, game theory, and general equilibrium.


 International Economics   3 Cr.  A course in international trade and international finance including classical models of trade, H. O. model.tests of models, tariffs and quotas, balance of payments, purchasing power parity, interest rate parity, models of balance of trade and payments, static and dynamic models of exchange rate determination, etc.


 Econometrics   3 Cr. A course in econometrics models and economic forecasts including the classical linear model with its five assumptions, violations of those five assumptions, simultaneous systems, instrument variables, dummy variables, 2SLS, 3SLS, SUR and forecasting with econometrics models.




Scheduling Systems  3 Cr. Job shop, flow shop, project scheduling, dynamic programming, integer programming, branch and bound methods, heuristic methods for scheduling systems.


 Mathematical Programming      3 Cr. Modeling, linear programming, duality theory, network models, introduction to integer programming, large scale problems, applications.


 Queuing Systems      3 Cr.   Basic definitions, classification of queuing systems, birth and death process, Markov and non-Markov queuing systems, optimization, simulation, and application of queuing systems.


 Industrial Systems Design Systematic       3 Cr. Model classification, model validation, design process, layout design process, classification of production systems, design classification of facility layout and location problems, Systematic Layout Planning (SLP), computer aided layout planning, single and multi-facility location problems, discrete location problems, continuous facility design, quadratic assignment location problems, mini-max layout and location problems.

 In this course, students must review and present two different papers from famous journals and also create a model or improve one of the published models in the area of facility planning problems.


 Advanced Engineering Economics 3 Cr. Introduction to engineering economics: present worth comparisons, equivalent annual worth comparisons, rate of economics return comparisons, benefit- cost comparisons, cash flow before and after tax, replacement analysis. Multiple project selection: zero-one mathematical programming, linear and goal programming, sensitivity analysis, break even, investment analysis under risk and uncertainty: expected value, variance, game theory, utility theory, decision trees, criteria for decisions, inflation: concepts, measuring, effects on cash flow before and after tax.


 Advanced Statistical Methods   3 Cr.

Discrete and continuous random variables, univariate and joint distributions, Sampling and sampling distributions; normal, student's-T, Chi-Square and distribution, definition and distributions of order statistics, asymptotic distributions, Parametric point estimation; methods of moments and maximum likelihood properties of point estimators; closeness, mean-squared error, consistency and      BAN, loss and risk function, unbiased estimation, sufficiency and completeness, UMVUE, Bays estimators, Parametric interval estimation, Test of hypotheses, simple hypotheses, composite hypotheses, chi-square tests, Linear regression and correlation, Analysis of variance and factorial experiments



PhD Program


The Department offers PhD degree in Industrial Engineering for students with a background in engineering and/or related sciences.

Course work requirements depend on the student’s background, and are established by the department and the Graduate Advisor.



Industrial Partners


IE department has several major industrial partners including:


  • Mobarakeh Steel Complex
  • Isfahan Steel Industries
  • Isfahan Cement Co.
  • Sepahan Cement Co.