Sunday, June 30, 2024

Industrial Engineering - Morgan State University

Fall 2024 classes start on 19 August

Morgan State University 

1700 East Cold Spring Lane
Baltimore, Maryland 21251
443-885-3333

Our students study and research the most effective and efficient ways of making products and delivering goods and services using an integrated system of people, machines, materials, information and energy resources. 

Hence, our graduates are prepared to address, impact, and solve today's complex problems in industry, government, and society as they manage the "business" of engineering operations, processes and services. The faculty and staff are committed to quality instruction while integrating research developments in management of production systems, human engineering, and information systems in both the undergraduate and graduate curriculum.

Dr. Richard A. Pitts, Jr.
Chairperson, Industrial and Systems Engineering

richard.pitts at @  morgan.edu
https://www.morgan.edu/soe/ise



Faculty

FIRST NAME LAST NAME TITLE/POSITION E-MAIL
TRIDIP BARDHAN Associate Professor tridip.bardhan@ morgan.edu
LEEROY BRONNER Associate Professor Leeroy.bronner@ morgan.edu
GUANGMING CHEN Professor guangming.chen@ morgan.edu
BHEEM KATTEL Assistant Professor bheem.kattel@ morgan.edu
DEOGRATIS KIBIRA Research Faculty deogratis.kibira@ morgan.edu
SEONG LEE Professor seong.lee@morgan.edu
YASEEN MAHMUD Technical Associate yaseen.mahmud@ morgan.edu
BABATUNDE OLUBANDO Researcher babatunde.olubando@ morgan.edu
KAREN PEACE Administrative Assistant II karen.peace@ morgan.edu
RICHARD PITTS CHAIRMAN richard.pitts@ morgan.edu
MASUD SALIMIAN Lecturer masud.salimian@ morgan.edu
JESSYE TALLEY Lecturer jessye.bemleytalley@ morgan.edu

https://www.morgan.edu/school_of_engineering/departments/industrial_and_systems_engineering/our_faculty/staff.html


INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 



Master of Engineering
Master of Engineering | School of Graduates Studies

General Requirements for Master of Engineering

All candidates who seek to earn the Master of Engineering degree will be required to complete a total of 33 acceptable credit hours of coursework inclusive of 2 credit hours of seminar and 4 credit hours of Project Reports.

Core Requirements for Master of Engineering

A core requirement of three interdisciplinary courses (9 credits hours) will be required of all students entering at master's level and students entering at the doctoral level who did not take these courses. These courses are carefully designed and coordinated to stress the interdisciplinary nature of the subject matter. The content serves as the philosophical foundation on which all other materials tailored for a specific student are based. The courses are as follows:

CEGR 514 Environmental Impact and Risk Assessment - 3 credits
EEGR 505 Advanced Engineering Mathematics with Computational Methods - 3 credits
IEGR 512 Advanced Project Management - 3 credits
Total Credits 9 credits

The following Seminar and Project Report courses are also required of all master's level student:
IEGR 788/789 Seminar I-II 2 creditsI
EGR 798/799 Project Report I-II 4 credits
Total Credits 6 credits

The remaining 18 credits will be taken as electives from the students approved program of study. For individuals admitted with deficiencies, additional courses may be required.
https://www.morgan.edu/school_of_engineering/departments/industrial_and_systems_engineering/graduate/master_of_engineering.html

Course Offerings
Course Offerings

IEGR.500 Mathematical Programming (3 credits)

Introduction to construction of deterministic mathematical models. Mathematical techniques such as linear programming, dynamic programming, integer programming, and game theory. Applications are made to production, transportation, assignment, and resource allocation problems.

IEGR.510 Production Sequencing and Scheduling (3 credits)

Analysis of sequencing and scheduling activities. Static and dynamic scheduling problems applied to single and multimachine models, heuristic models, rule-based models and simulation studies of priority dispatching rules, priority queuing models.

IEGR.511 Advanced Engineering Economy (3 credits)

Topics include measuring economic worth, economic optimization under constraints, analysis of economic risk and uncertainty, foundations of utility theory, and econometric models.

IEGR.512 Advanced Project Management (3 credits)

This is a study of project management theory and practices, emphasizing the strategic management for engineering activities. The concept of project planning and organization project life cycle project scheduling, organizational forms and conflict resolution will be addressed. The use of cost and time value of money, schedule and technical planning and control methods such as WBS, and network models as AOA, AON, CPM/PERT will be stretched. Proposal writing and the use of project management software tools for creating a typical project plan will be explored.

IEGR.515 Engineering Optimization (3 credits)

Introducing and developing the practical aspects of optimization methods focusing on techniques and strategies useful in engineering design, operations and analysis. Survey of the important families of optimization methods. Topics include functions of single and several variables, constrained optimality criteria, transformation methods, constrained direct search, linearization methods for constrained problems, direction generation methods, quadratic approximation methods, structured problems, comparison of constrained optimization methods, strategies for optimization studies. Case studies include optimal design of a compressed air energy storage system, design of natural gas pipeline, and optimization of ethylene glycol-ethylene oxide process.


IEGR.516 Applied Decision Analysis (3 credits)

Bayes Theorem, Bayesian estimators, utility functions, loss functions, risk analysis, minimax strategies, game theory, multiple criteria decision making. Problems in social and public decision making, values and preferences, subjectivity measurement, and Pareto optimality, group decision analysis, social decision processes and strategy of conflicts -


IEGR.530 Advance Simulation (3 credits)

An up-to-date treatment of all the important aspects of simulation study, including modeling, simulation languages, validation, and output data analysis. Topics include selecting input probability distribution, random number generators, generating random variables, output data analysis, statistical techniques for comparing alternative systems, validation of simulation models, variance reduction techniques, and experimental design and optimization.


IEGR.534 Engineering Statistics&Modeling

Sampling distributions, estimation, maximum likelihood estimation, confidence intervals, regression, goodness of fit, correlation, tests of hypotheses, nonparametric statistics, introduction to analysis of variance (ANOVA) and design of experiments.


IEGR.535 Engineering Experimental Design (3 credits)

Analysis and application of standard experimental design, including factorials, randomized block, latin square, confounding and fractional replication multiple comparisons. Fractional factorials, analysis of unbalanced data, and covariance models. Introduction to response surface methodology.


IEGR.539 Robust Design by Quality Engineering (3 credits)

System design, parameter design, and tolerance design. Quality loss function, orthogonal arrays. Quality improvement by design. Making products insensitive to manufacturing variations, environmental variations and deterioration over time. Introduction to TQM, QFD, JIT.


IEGR.550 Human Performance Engineering (3 credits)

Engineering acceptable performance, human limits and differences, sensing, cognitive processing and performance, perception, problem solving and decision-making, memory, motivation. Basic design and human factors, human-machine interface, human-human interface, human-computer interfaces. Supporting human performance and evaluating performances and preferences.

IEGR.555 Artificial Intelligence Programming (3 credits)

Introduction to Lisp programming, early AI programs that use rule-based pattern matching techniques advance AI programs. Topics include building software tools, symbolic mathematics, logic programming, object-oriented programming, knowledge representation and reasoning, expert systems, and natural languages.

IEGR.560 Assembly Automation and Product Design (3 credits)

Analysis of the product design for ease of automatic assembly, automatic assembly transfer systems, automatic feeding and orienting-vibratory feeders, automatic feeding and orienting-mechanical feeders, feed tracks, escapements, parts-placement mechanisms, performance and economics of assembly systems, design for manual assembly, product design for high-speed automatic assembly and robot assembly, printed circuit board assembly, and feasibility study for assembly

IEGR.562 Rapid Prototyping (3 credits)

Fundamental concepts in the development of computational algorithms for the design of machine components and assemblies, and other engineering systems. Methodologies of ideageneration and refinement; Computer-assisted Rapid Sketching methods; general purpose computer programs for engineering analysis and design; Solid modeling techniques and parametric modeling for manufacturing; Analysis of trajectory from idea-generation to prototype production; representation of the design process as a network of decision tables and logical flags; introduction to stereolithography.

IEGR 563 Nontraditional Manufacturing Processes (3 credits)

This course is designed to provide an assessment of the state of the art in the design tools and techniques in the area of non-traditional manufacturing. The students will be exposed to practical applications of non-traditional manufacturing, including use of wire electro-discharge machining and computer-assisted numerical control programming.

IEGR.570 Advanced Instrumentation Techniques (3 credits)

Pressure and sensors; laser holography; laser doppler velocimetry; anemometry signal conditioning, use of amplifiers with shielding and grounding techniques; digital techniques; signal multiplexing, use of microcomputers; sampling techniques, error analysis and data handling; data acquisition methods; hardware and software review.

IEGR.571 Advanced Internal Combustion Engine (3 credits)

Main phases of Otto cycle, Spark-ignition internal-combustion engine, Combustion and detonation; Carburetion and fuel injection, application of reciprocating piston engine, optimal design of triangular rotor (or rotary piston), optimal arrangement of intake, exhaust, and ignition mechanisms, exhaust emissions, fuel economy, and reliability.

IEGR.572 Design & Analysis of Energy Systems (3 credits)

Elements in design analysis of energy systems, system designs involving heat reservoirs and work reservoirs, selection of fluid flow equipment, heat exchanges designs options, availability analysis, system flowsheeting, economic evaluation/cost estimation, optimal design techniques, and energy systems simulation.

IEGR.573 Applied Thermodynamics & combustion (3 credits)In-depth analysis of power and refrigeration cycles. Flow through nozzles and blade passages. Impulse and reaction turbines. Blade diagrams and efficiency. Production of thermal energy. Chemical reactions and reactive mixtures. Combustion process and analysis of the products for the fossil-fuel systems.

IEGR.574 Heating, Ventilating, Air Conditioning (HVAC), and Energy Conservation Systems (3 credits)

Air conditioning and environmental control, heat transmission in building structure, space heat load and cooling load, room and building air distribution, Principal of psychometrics, mass transfer and measurement of humidity, direct contact heat/mass transfer, refrigeration, renewable/inexhaustible energy sources, energy conservation/legislation, cogeneration/heat reclamation, Design, installation and operation computer controlled Energy Management Systems Automation.

IEGR.575 Computer Integrated Manufacturing (3 credits)
Overview of the functions, processes, and disciplines of computer-integrated manufacturing. Topic include automation and computer integrated manufacturing, computer aided process planning, group technologies, hierarchical computer control, information systems and processing, computer communications systems and software, computer networks, design, assembly, machining and control nodes. Current issues, emerging technologies, and future developments in computer integrated manufacturing.

IEGR.576 Principles of Manufacturing Information System (3 credits)

Introduction to the theory and concepts of information for manufacturing organization and management of information within a manufacturing enterprise, database systems, information-based planning and management tools, electronic data interchanges. Design of manufacturing systems such as MRP, SFRS, CAD/CAM, etc. Concerns of integration and man-machine interface in manufacturing systems.

IEGR.577 Computational Heat and Fluid Engineering (3 credits)

Engineering applications of computational heat and fluid engineering, computational methodology for the closed/open systems, heat balance and loss in circular pipes, variation of atmospheric by inviscid flows are outlined and the relevant numerical methods are introduced.

IEGR.585 Occupational Safety Engineering (3 credits)

Design and modification of machinery and products to eliminate or control hazards arising out of mechanical, electrical, thermal, chemical, and motion energy sources. Application of retrospective and prospective hazard analysis, systems safety performance and measurement, accident prevention philosophies, expert systems and accident reconstruction methodologies. Case studies include industrial machinery and trucks, construction and agriculture equipment, and automated manufacturing systems and processes.

IEGR.595 Entrepreneurship for Engineers (3 credits)

This is an interdisciplinary course in the development and application of tools, methods, and resources to provide engineering students with an entrepreneurial look at the business side of the engineering profession.

IEGR.603 Supply Chain & Logistics Management (3 credits)

In-depth study on the discipline and philosophy of logistics and supply chain management with high-level strategic design, and concepts utilizing the analytical and mathematical tools to solve simultaneous cost reduction and service enhancement problems. Contemporary issues in the flow of goods and services will be discussed and studied within a framework of logistics management and specific applications in modeling and simulation.

IEGR 605 Integer Programming and Network Models (3 credits)

Network flow models and applications. Algorithms for the shortest path, minimum cost f low and maximum f low problems. Integer programming models and formulation. Computational complexity of integer programming problems. Lagrangean duality theory, branch and bound techniques, cutting planes and hybrid algorithms. Application of these methods to facility location and traveling salesman problems. Study of special techniques for selected topics such as vehicle routing, set covering and network design problems.

IEGR 620 Nonlinear Programming (3 credits)

Theoretical development of solution methods in nonlinear programming including manifold suboptimization, convex simplex, reduced gradient, gradient projection, feasible direction, cutting plane, and penalty function methods. Investigation of convergence of algorithms. Methods of solution for integer programming problems including cutting plane methods, enumerative techniques, and dynamic programming methods.

IEGR 625 Stochastic Processes (3 credits)

A survey course of stochastic processes with an emphasis on applications in engineering, management science, and physical sciences. Topics covered include radome walk, Markov and Poisson processes, renewal theory, and stationary processes, illustrated with examples in queuing theory, inventory control, time series and random noise.

IEGR 635 Advanced Robust Design (3 credits)

This course will provide useful techniques for product and manufacturing process deign. It has three basic steps: system design, parameter design, and tolerance design. Quality can be built into product into products through design. The methodology is based upon quality loss function, experimental design and orthogonal arrays, etc. Prerequisite: IEGR 535 or equivalent.

IEGR 636 Time Series Analysis and Forecasting Systems (3 credits)

Time and frequency domain aspects of time series are developed in a mutually reinforcing fashion. Behavior patterns of time series are examined with a view toward model identification and forecasting. The statistical procedures for model estimation are presented and employed. Multiple time series concepts and problems are introduced. The Box-Jenkins approach is emphasized.

IEGR 640 Fundamental Reliability (3 credits)

Probabilistic models underlying reliability and life testing analysis. Structural and reliability properties of coherent systems, exact system reliability and approximation, parametric families of life distribution and their characterizing models, homogeneous and nonhomogeneous Poisson processes, mixtures of distributions, competing risk and multiple failure mode models, accelerated life testing models, regression and partial likelihood models, types of censoring, multiple failure mode analysis. Inference procedures, including graphical analysis for various parametric models and for complete and censored samples. Applications in engineering, biometry, and actuarial science.

IEGR 662 Rapid Prototyping II (3 credits)

Students, individually or in groups, develop a small-scale rapid prototyping team to address the need for a rapid prototype of a component or set of components relevant to an engineering subject. Students are given a fixed budget and a target time for completion of prototype. Problem identification, ideation and refinement; problem analysis; decision processes; advanced sketching and computer-aided design; applications of advanced solid-modeling, using a robust parametric modeler; introduction to graphical file transfer protocols for sharing design information among team members; advanced prototype production methods; production of prototypes using a stereolithography system;

IEGR 663 Nontraditional Manufacturing Processes (3 credits)

Analysis of the processes, sensors, machine tools, and control systems in nontraditional manufacturing processes. Processes include abrasive jet machining, water jet machining, abrasive water jet machining, abrasive flow machining, ultrasonic machining, ultrasonic welding, high energy rate forming, electrochemical machining, electrochemical grinding, electrochemical discharge machining, electrostream drilling, shaped-tube electrolytic machining, chemical machining, electrical discharge machining, electrical discharge wire cutting, electrical discharge grinding, electron beam welding, electron beam machining, laser processing, plasma arc cutting, and thermal energy (deburring) method.

IEGR 670 Advanced Product & Operations Management (3 credits)

An advanced study of production management techniques applied to control the operation of production and manufacturing systems. Advanced theories and practices of forecasting and inventory control including definitive, statistical and mixed behavior. The planning process will be approached at the aggregation of a master production schedule, and will be intensively explored including the unique approaches of MRP. Other topics include methods of operation sequencing and scheduling techniques under resource constraints including BHR&S. Contemporary and innovative models and applications of production analysis and control with the use of recent developments in FMS, AS/RS, AGVS theories and applications will also be examined.

IEGR 680 Advanced Product Issues (3 credits)

This course will provide determination of feasibility of design idea, and decision processes for choosing better design alternatives. Case studies will include the planning and creation of successfully engineered designs.

IEGR 686 Industrial Engineering Applications in Health Systems (3 credits)

Description of the health care system and its resource components, accessibility, availability, distribution, and cost. Health system inputs, processes, and outputs. Applications of industrial engineering to health care management problem. Hospital management, forecasting, managerial control, facility planning, resource allocation and information systems.IEGR 678 Engineering Design Process (3 credits)Definition of design, the design process and its considerations, managing design projects, modeling and simulation, design analysis for material selection, economic analysis in design, optimization in design, statistical decisions, design for reliability, safety and environmental protection, engineering ethics characterization.

IEGR 690 Enterprise Resource Planning (3 credits)

The various topics include MRP (Material Requirements Planning), MRP II (Manufacturing Resources Planning), and Flow Manufacturing, Time as a competitive weapon (TCW) Theory, Just-In-Time Principles, Inventory Management and Theory of Constrains (TOC) philosophy.

IEGR 788 Seminar I (1 credit)

The Course is designed to provide a multidisciplinary approach to the integration of engineering disciplines and technologies. The primary objective is to demonstrate to the students how important it is, in the professional world, to work together as a team in terms of solving practical engineering problems. The students will be exposed to practical applications that focus on their academic interests but tempered by ideas coming from other disciplines. This will be accomplished by having guest speakers, special assignments, project-oriented discussions, and self-study activities.

IEGR 789 Seminar II (1 credit)

The course is designed to provide a multidisciplinary approach to the integration of engineering disciplines and technologies. The primary objective is to demonstrate to the students how important it is, in the professional world, to work together as a team in terms of solving practical engineering problems. The students will be exposed to practical applications that focus on their academic interests but tempered by ideas coming from other disciplines. This will be accomplished by having guest speakers, special assignments, project-oriented discussions, and self-study activities.

IEGR 790 Research in Design and Manufacturing (3 credits)

Introduce the graduate students to the research topics in the important design and manufacturing area. Through this course, the students can conduct timely and topic engineering research, perform industrial design and analysis.

IEGR 797 Project Report Guidance (3 credits)

Project guidance provides students, who have not completed their project in the assigned semester, a mechanism for continuing their work under faculty supervision.

IEGR 798 Project Report I (2 credits)

Project report I is to let students learn how to prepare a real project. This course emphasizes the analysis and the design of a specific industrial engineering problem under the guidance of a faculty advisor.

IEGR 799 Project Report II (2 credits)

Project report II is to let students learn how to conduct a real project. This course emphasizes the analysis and the design of a specific industrial engineering problem under the guidance of a faculty advisor.

IEGR 997 Dissertation Guidance (3 credits)

Dissertation guidance provides students, who have not completed their dissertation in the assigned semester, a mechanism for continuing their work under faculty supervision. IEGR 998 Dissertation (12 credits)

https://www.morgan.edu/school_of_engineering/departments/industrial_and_systems_engineering/graduate/course_offerings.html


Graduates

Dajon Wiafe
Degreed Industrial & Systems Engineer @ Morgan State University | System Engineer @ Lockheed Martin | Skilled with Lean Six Sigma, & Process Improvement | Aspiring Operations/Process Improvement Analyst



Ud. 30.6.2024
Pub. 19.8.2019














Saturday, June 29, 2024

Functions of Industrial Engineering - Online Course Notes

 "Functions and Focus Areas of Industrial Engineering" - Paper Published in NITIE Journal dated Oct-Dec 2016. The journal was printed in June 2018.



Functions of Industrial Engineering







----------------





________________________


The functions of management are currently given as Planning, Organizing, Resourcing, Executing and Control.

What are functions of Industrial Engineering (IE)?


Industrial engineering has the following functions:

Research in Industrial Engineering
Productivity Science
Productivity Engineering
Productivity Management
Communication, Training and Implementation
Productivity Measurement
Review



Research in Industrial Engineering


Industrial engineering has emerged out of shop management and scientific management developed and promoted by F.W. Taylor. Development of science related to production systems or work systems consisting of machines and men is the foundation for this subject. Hence research is an important function of industrial engineering. Industrial engineers are to be taught scientific research method and process so that they can understand the research papers published by IE researchers and also undertake research related to local applications.


Productivity Science


Research propositions and the tests of research propositions are to be consolidated into scientific theories related to various issues of interest in the field of industrial engineering.

Productivity Science Module of Industrial Engineering  https://nraoiekc.blogspot.com/2021/05/productivity-science-module-lessons.html


Some Lessons

Productivity Science of Machining - Taylor to Current Times

Productivity science of human effort - Development of Science in Mechanic Arts - F.W. Taylor

Productivity Science of Human Effort - F.W. Gilbreth


Productivity Engineering


Redesign of engineering processes to make them more productive is productivity engineering. The two important outputs of engineering processes are products or services and processes to produce those goods and services. Redesign of human actions also is part of productivity engineering. Productivity engineering is driven forward by productivity science. Improvement iterations take place within productivity engineering itself due to inventions taking place.

F.W. Taylor who is the father of productivity engineering of processes and L.D. Miles, father of productivity engineering of products strongly stated that productivity engineering has to maintain the effectiveness or quality of the basic engineering product or process designed by the design engineering team. Industrial engineering as theory and practice does not in any reduce the effectiveness or quality of the systems they are redesigning.

Product Industrial Engineering Module of Industrial Engineering Online Course Notes. 
Continuous Improvement of Product Design.

Process Industrial Engineering Module of Industrial Engineering Online Course Notes



Productivity Management


Productivity management consists of activities of industrial engineers in the field of management. These activities have two objectives. One objective is to assess various management policies, programs and processes for the impact on productivity of engineering processes. Where they do not have desirable effects, industrial engineers have to propose redesign of them.

The second objective is the management of productivity in organizations. Industrial engineers are responsibility for managing the productivity. They have to plan for productivity improvement, organize for it, acquire resources for it, executive productivity improvement projects and activities and control them to achieve the planned goals.

Productivity science gives impetus for developing management methods that increase productivity. Thus productivity science is an input to productivity engineering and productivity management.


Productivity Management Module of Industrial Engineering Online Course Notes




Communication, Training and Implementation


Industrial engineering is carried out as staff activity. The redesigns of the IE projects are to be communicated to various persons in the organization to establish its feasibility and also get them approved by competent authorities for funding. Then, industrial engineers have to train various persons in the new methods. Even though, they are a staff function, they have to be part of implementation teams and their work is not over till implementation is done.

Productivity Measurement


Measurement of productivity is an important function. After productivity improvement projects are implemented, measurements have to validate the improvement. Also past measurements or new measurements become the basis for planning productivity improvement programs.

Industrial Engineering Data and Measurements

Review


Based on the productivity measurements, a review of situation is to be made to take decisions regarding future efforts in the area of productivity. The results of review become the sources for further research, productivity engineering and productivity management activities.

Engineering Process - Review, Analysis and Improvement for Productivity




Ud. 29.6.2023
Pub. 29.8.2023

University of Nevada, Reno - Industrial Engineering Programs

 


Industry, academia work to develop new industrial engineering program

Curriculum, discussed at March 14 forum

March 19, 2024 Report by Chris Moran

Charles Lonz of Tesla, providing ideas on  curriculum for the new College of Engineering program, set to start in fall 2024 or spring 2025.

Representatives from industry, economic organizations and academia gathered March 14 to discuss a new industrial engineering program expected to launch in fall 2024 or spring 2025 within the College of Engineering. The Nevada System of Higher Education approved the program in November 2023.


Industrial engineering is concerned with the design, improvement and installation of integrated systems of people, materials, information, equipment and energy. With the growth of manufacturing in Nevada, many are eager for such a program, which would be the first of its kind in the state.

About 20 professionals from companies as Arrow Electronics, Hamilton, Lithium Americas, Redwood Materials, Tesla and Verus as well as the Governor’s Office of Economic Development, the Economic Development Authority of Northern Nevada and Manufacture Nevada gathered with Engineering leadership to listen to three industrial engineering experts and to provide input on the new program. 

“We really want your support and ideas on how to make this program successful,” Victor Vasquez, Chemical & Materials Engineering chair, said.  https://www.unr.edu/cme/people/victor-vasquez

Vasquez shared a proposed curriculum for the 126-unit bachelor’s degree program, which will be housed in the Chemical & Materials Engineering Department. A master’s and Ph.D. program also are planned.


The manufacturing sector in Nevada has been growing steadily since 2015, according to the National Association of Manufacturers (NAM). In 2021, manufacturers accounted for 5.3% of the total output in Nevada, up from 4.89% in 2018, according to NAM data. In 2021, total output from manufacturing was $9.45 billion, up from $8.11 billion in 2018.


Sunderesh Heragu, associate dean for Academic Affairs at Oklahoma State University, who headed up the Industrial and Systems Engineering program at Oklahoma State, discussed modern challenges that will be solved in part by industrial engineers: catastrophic events such as health pandemics, climate change, wars and the shift to an aging population.  he said. “Industrial engineering will always be in demand.”

Other academic leaders providing input on industrial engineering were Joseph Hartman, provost and vice chancellor for Academic and Student Affairs at the University of Massachusetts; and Michael Riley, emeritus professor and department head of the Industrial & Management Systems Engineering department at the University of Nebraska—Lincoln. 

 Representatives from regional industrial groups provided input on what skill sets incoming employees and interns need to have and to help the University become a wellspring of operations and manufacturing in the West. For more information on the College of Engineering’s Industrial Engineering program, contact Associate Dean Indira Chatterjee.  indira  at @unr.edu  https://www.unr.edu/engineering/about/deans-office/chatterjee  


https://www.unr.edu/nevada-today/news/2024/new-industrial-engineering-program

https://www.unr.edu/nevada-today/news/2024/engineering-rankings


https://www.unr.edu/nevada-today/news/2023/chidambaram-regents-award



9400 Downloads for 2023-24. 

Top 2023-24 E-Book for Industrial Engineering. #IndustrialEngineering for #SocietyProsperity


INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  

Free Download  from: 

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0






















Industrial Engineering Youngstown State University

Fall 2024 FULL TERM

BEGIN: AUGUST 26

END: DECEMBER 14

https://ysu.edu/registrars-office/calendars




Industrial Engineering Youngstown State University

Department of Mechanical, Industrial and Manufacturing Engineering
https://catalog.ysu.edu/undergraduate/colleges-programs/college-science-technology-engineering-mathematics/department-mechanical-industrial/

Chair

Hazel Marie, Ph.D., Professor, Chair


Professor

S. Cory Brozina, Ph.D., Assistant Professor

Martin Cala, Ph.D., Professor

Kyosung Choo, Ph.D., Assistant Professor

Brett P. Conner, Ph.D., Associate Professor

Gregory Dillon, Ph.D., Professor

Kevin Disotell, Ph.D., Assistant Professor

Hojjat Mehri, Ph.D., Professor

Stefan Moldovan, Ph.D., Assistant Professor

Nazanin Naderi, Ph.D., Assistant Professor

Jae Joong Ryu, Ph.D., Assistant Professor

Elvin B. Shields, Ph.D., Professor

Virgil C. Solomon, Ph.D., Associate Professor

Jason Walker, Ph.D., Assistant Professor

Darrell R. Wallace, Ph.D., Associate Professor


Lecturer

Anthony Viviano, M.S., Lecturer
https://catalog.ysu.edu/undergraduate/colleges-programs/college-science-technology-engineering-mathematics/department-mechanical-industrial/#facultytext

Program Student Outcomes
3-3  Understand that the technology is constantly changing and industrial engineers must upgrade their knowledge in conjunction with the technological changes.

The ISE Project Laboratory is focused on team-based activities throughout the curriculum and particularly serves the methods engineering, human factors engineering and facilities design areas.

https://catalog.ysu.edu/undergraduate/colleges-programs/college-science-technology-engineering-mathematics/department-mechanical-industrial/industrial-systems-engineering-program/


INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 


Industrial and Systems Engineering Graduate Program

Industrial and Systems Engineering
OVERVIEW
DEGREE REQUIREMENTS
COURSES
ADMISSION REQUIREMENTS
Option Coordinator

Hojjat Mehri
2500 Moser Hall
(330) 941- 3023
hmehri@ysu.edu

ISEN 5801    Operations Research 1    3 s.h.

Formulation and solution of engineering problems using linear programming. Model formulation, the primal, dual, and transportation simplex methods, duality theory, and sensitivity analysis.
Prereq.: MATH 2673.

ISEN 5811L    Manufacturing Practices I Laboratory    1 s.h.

Experimental analysis of manufacturing processes. Process control and data acquisition. Experimental design applied to processes including polymer processes, casting, machining, and joining. Three hours laboratory.
Prereq. or concurrent ISEN 3723.

ISEN 5812L    Manufacturing Practices 2 Laboratory    1 s.h.

Experimental analysis of advanced manufacturing techniques. Advanced sensing and controlling technologies. Real-time monitoring, metrology, and data acquisition. Numerically controlled (NC) machines and programming. Net-shape and additive manufacturing.
Prereq. or concurrent ISEN 5823.

ISEN 5820    Advanced Quality for Engineers    3 s.h.

Applications and practices of quality control in industry. Engineering and administrative aspects of quality control programs, process control, and acceptance sampling. Application of quantitative methods to the design and evaluation of engineered products, processes, and systems.
Prereq.: ISEN 3720.

ISEN 5823    Automation    3 s.h.

Principles and applications of sensing, actuation and control. Emphasis on hydraulic and pneumatic systems. Industrial process controllers, sensors and machine vision. Design and cost considerations for industrial automation applications.
Prereq.: MECH 2641, ECEN 2614 or consent of instructor.

ISEN 5825    Advanced Engineering Economy    3 s.h.

An extension of the topics in engineering economy. Analysis of rationale and norm of decision making, risk and uncertainty models, utility theory, measurement of productivity, and advanced project comparison methods.
Prereq.: ISEN 3724.

ISEN 5830    Human Factors Engineering    3 s.h.

Various aspects of human factors in the design of human-machine systems and environments. Study of human sensory, perceptual, mental, psychomotor, and other characteristics; techniques of measuring human capabilities, limitations, safety, comfort, and productivity.
Prereq.: MATH 2673.

ISEN 5850    Operations Research 2    3 s.h.

Formulation and solution of industrial engineering problems using operational research models. Topics include queuing models and the specialization of linear models to equipment replacement, project planning, assignment, and transshipment problems.
Prereq.: ISEN 5801.

ISEN 5880    Management of Technology    3 s.h.

The course discusses major topics in management of technology and innovations. Dynamics of technology innovation, sources of technology innovations, corporate technology strategy, collaboration and intellectual property, structures and process for innovations, idea generation, commercialization of technology and innovations, and market entry.
Prereq.: Senior standing or consent of instructor.

ISEN 5881    Competitive Manufacturing Management    3 s.h.

Basic principles of manufacturing competitiveness. The role of engineers in promoting competitiveness. Discussion of new technologies used in modern manufacturing management including, continuous improvement, waste elimination, JIT, lean production systems, setup time reduction, equipment maintenance/improvement, total quality management, and supply chain management.
Prereq.: ISEN 3723 or consent of instructor.

ISEN 6901    Optimization Techniques    3 s.h.

A study of the theory of optimization and its application to problems from several engineering disciplines. The principles will be applied to constrained and unconstrained engineering problems. Algorithms will be developed for solving optimization problems, which can be formulated as linear, nonlinear, integer, or dynamic programming models.

ISEN 6902    Digital Simulation    3 s.h.

A study of simulation methods using digital computers, random number generation, Monte Carlo techniques, queuing models, and analysis of simulation output. The student will be provided the opportunity to simulate moderately complex systems on digital computers. Primary emphasis will be on models of technical, scientific, and economic systems.

ISEN 6905    Applied Statistics for Design, Quality, and Productivity    3 s.h.

Review of probability and statistics, uncertainty and decision making, statistical inference, and analyzing sources of variation. Risk and reliability, risk assessment, robust and quality design, regression analysis, and analysis of variance. Design of experiments, single-factor and multifactor experiments, design of experiments for product characteristics, process characteristics, and process optimization. General statistical process control, special charts and sampling techniques for control, monitoring, and auditing quality. Economic issues in process/quality control.
Prereq.: ISEN 3710 Engineering Statistics or equivalent.

ISEN 6906    Supply Chain Engineering    3 s.h.

In an expanding global economy, efficient and responsive supply chains are critical to business success. This course explores key aspects of supply chain engineering with an emphasis on mathematical approaches to supply chain analysis. Topics include demand forecasting, inventory modeling and control, facility location, capacity planning, transportation, warehousing, scheduling, material requirements planning and procurement.
Prereq.: ISEN 3710/ISEN 6921 and consent of instructor.

ISEN 6908    Logistics Engineering and Mgt    3 s.h.

Study of logistics from a systems engineering perspective. Covers design of systems for supportability and serviceability, the production and effective distribution of systems for customer use, and the sustaining maintenance and support of systems throughout their period of utilization.
Prereq.: ISEN 3720, ISEN 5801 or consent of the instructor.

ISEN 6910    Design and Analysis Experiment    3 s.h.

For professionals from business and industry, and students. Specific topics will be announced each time the workshop is offered. Credit hours based on frequency and duration of workshop meetings.

ISEN 6920    Project Management    3 s.h.

Methods for planning, organizing, scheduling, supporting, and controlling projects. Network techniques, including CPM, PERT, and time-cost trade-off analysis. Techniques for the estimation of time, manpower, and other resource requirements of the projects, including economic and statistical analysis, forecasting, learning curves, and line balancing. Management of time and other resources involved. Case studies and utilization of computer resources for the analysis and presentation of projects.
Prereq.: graduate standing in STEM college.

ISEN 6921    Engineering Statistics    3 s.h.

Development and application of stochastic models of engineering systems. Elementary probability models applied to decision making under uncertainty. Development and use of theoretical probability distributions for describing stochastic systems. Models for point and confidence interval estimation and models for correlation analysis applied to engineering problems.
Prereq.: ISEN 3710 or equivalent.

ISEN 6930    Microcomputer Models for Deterministic Engineering Systems    3 s.h.

Microcomputer model development, implementation, evaluation, and application for deterministic engineering systems. Recognition of engineering systems amenable to analysis as deterministic microcomputer models. Determination of model structure, identification of model parameters, verification of model validity, exercising the model, and interpretation of results.

ISEN 6935    Decision Analysis for Engineering    3 s.h.

Review of probability and statistics, subjective probability, probability models, using data, Monte Carlo simulation, and value of information. Introduction to decision analysis, elements of decision problems, structuring decisions, making choices, creativity, and decision making. Risk attitudes, utility axioms, paradoxes, and conflicting objectives.
Prereq.: ISEN 3710 Engineering Statistics or equivalent, or permission of instructor.

ISEN 6970    Advanced Manufacturing Processes 1    3 s.h.

Advanced manufacturing processes for metallic materials. Included are continuous casting, powder techniques, fluidized bed reactors, and directional solidification.

ISEN 6971    Advanced Manufacturing Processes 2    3 s.h.

Advanced manufacturing processes for nonmetallic materials. Included are sintering, slip casting, plastic forming techniques, and extrusion of nonplastic materials.

ISEN 6990    Special Topics    3 s.h.

Special topics in industrial/manufacturing systems engineering covering areas not otherwise available. Topics are selected by the faculty from fields of current research interest or special emphasis and may vary from semester to semester. May be repeated for a maximum of six semester hours.

ISEN 6992    Graduate Projects    3 s.h.

Analysis, design, research, or other independent investigation on projects selected with the advice and approval of the student's graduate committee.
Prereq.: Permission of instructor.

ISEN 6999    Thesis    1-6 s.h.

Hours arranged. May be repeated.

https://catalog.ysu.edu/graduate/graduate-programs/master-science-engineering/industrialandsystems/#coursestext



Ud. 29.6.2024
Pub. 18.8.2019

Basic Principles of Industrial Engineering


The principles explain the question what is industrial engineering (IE)?

Basic Principles of Industrial Engineering - Narayana Rao


1. Develop science for each element of a man - machine system's work related to efficiency and productivity. (Productivity Science)
2. Engineer methods, processes and operations to use the laws related to the work of machines, man, materials and other resources. (Productivity Engineering)
3. Select or assign workmen based on predefined aptitudes for various types of man - machine work. (Productivity Management)
4. Train workmen, supervisors, and engineers in the new methods, install various modifications related to the machines that include productivity improvement devices and ensure that the expected productivity is realized. (Productivity Management)
5. Incorporate suggestions of operators, supervisors and engineers in the methods redesign on a continuous basis. (Productivity Management)
6. Plan and manage productivity at system level. (Productivity Management)
(The principles were developed on 2 July 2016 at Kakinada, Andhra Pradesh, India (During Birthday break of 2016 - 30 June 2016 to 7 July 2016). Jyeshta Month https://www.drikpanchang.com/panchang/day-panchang.html?date=02/07/2016

The principles were developed by Narayana Rao based on principles of scientific management by F.W. Taylor)


Principles of Scientific Management - Taylor


The managers following scientific management thought do the following things.

First. They develop a science for each element of a man's work, which replaces the old rule-of.-thumb method.

Second. They scientifically select and then train, teach, and develop the workman, whereas in the past he chose his own work and trained himself as best he could.

Third. They heartily cooperate with the men so as to insure all of the work being done in accordance with the principles of the science which has been developed.

Fourth. There is an almost equal division of the work and the responsibility between the management and the workmen. The management take over all work for which they are better fitted than the workmen, while in the past almost all of the work and the greater part of the responsibility were thrown upon the men.
(From THE PRINCIPLES OF SCIENTIFIC MANAGEMENT - F.W.Taylor)


What is new in the principles of industrial engineering when compared to principles of scientific management?


1. Develop science for each element of a man - machine system's work related to efficiency and productivity.

Based on the developments in the field of industrial engineering so far, the principle now extends the development of science of areas not so far developed to use of all resources used in the man - machine systems.

2. Engineer methods, processes and operations to use the laws related to the work of machines, man, materials and other resources.

This principles brings out the engineering activity in industrial engineering. Industrial engineers are engaged in applying the scientific laws developed (efficiency and productivity science) to man - machine systems. They develop convenient ways of creating both causes and effects included in the laws of efficiency/productivity science. They have to first redesign methods, processes and operations to incorporate the laws for the first time. Then they have to increase the effectiveness and efficiency of these redesigned methods/processes/operations on a continuous basis.

3. Select or assign workmen based on predefined aptitudes for various types of man - machine work.

Based on the redesigned methods, they have to specify the special aptitude required in operators to become part of man - machine system. Natural aptitude for physical effort, skill of using body parts and senses have to be specified and knowledge of the machine to be operated is also to be specified. Operators are selected based on the specifications.

4. Train workmen, supervisors, and engineers in the new methods, install various modifications related to the machines that include productivity improvement devices and ensure that the expected productivity is realized.

Industrial engineers have to become active members of installation teams and they have to train all persons directly involved in implementing new methods. The persons to be trained include engineers, supervisors and operators. Industrial engineers have to ensure that the expected productivity improvement takes place after the new method is implemented. So they have to measure the actual productivity.

5. Incorporate suggestions of operators, supervisors and engineers in the methods redesign on a continuous basis.

We all now know that there is learning effect. Every body finds ways of improving the work he is doing and managing. Industrial engineers have to recognize this fact and invite suggestions from all on a continuous basis and improve their redesign based on laws of productivity science related to specific man-machine systems.


6. Plan and manage productivity at system level.

The name of the professional body IIE was changed to IISE only to reflect this principles. Industrial engineers have to focus on system level productivity. In any organization productivity improvement is to be planned at organization system level. Even though improvement has to take place at one man, one machine or one man-one machine level, the impact of the proposed changes at the system level has to be estimated by industrial engineers and implementation decisions have to be taken based on the system level benefit. Similarly measurement of the benefit after implementation has to be done at system level.




Principles of Industrial Engineering - Narayana Rao - Detailed List


The full paper by Prof. K.V.S.S. Narayana Rao is now available for downloading from IISE 2017 Annual Conference site in prepublished format.

Presentation on Principles of Engineering First made on Dr. Narayana Rao on 23 May 2017 in IISE Annual Conference, Pittsburgh, USA.
_________________



__________________




Principles of Industrial Engineering List

1. Productivity science
2. Productivity engineering
3. Industrial  Engineering is applicable to all branches of engineering
4. Principles of machine utilization economy to be developed for all resources used in engineering systems.
5. Industrial engineering optimization
6. Industrial engineering economics
7. Implementation team membership and leadership
8. Human effort engineering for increasing productivity
9. Principles of motion economy to be used in all IE studies in the area of human effort engineering
10. Operator comfort and health are to be taken care of.
11. Work measurement
12. Selection of operators
13. Training of operators, supervisors and engineers
14. Productivity training and education to all
15. Employee involvement in continuous improvement of processes and products for productivity improvement.
16. Productivity incentives
17. Hearty cooperation
18. Productivity Management
19. System level focus for productivity
20. Productivity measurement
21. Cost measurement



Updated 29.6.2023, 23 Oct 2021,  12 June 2017, 7 April 2017, 

7 July 2016 (Important Date) - Birthday of Frank Gilbreth.
July - Gilbreth - Narayana Rao Month of Industrial Engineering and Productivity Management
INDUSTRIAL ENGINEERING is redesign (engineering) of Products, Facilities and Processes for Productivity increase (IISE Augmented Definition for Other Results Areas).


(C) Narayana Rao K.V.S.S.  2016, 


see the article by David Scott Sink et al.

https://books.google.co.in/books?id=sjY3IZ9Unv0C&pg=PA3#v=onepage&q&f=false