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Industrial Engineering

Industrial Engineering adopts as its goals: profitability, effectiveness, efficiency, adaptability, responsiveness, quality, and the continuous improvement of products and services throughout their life cycles. The curriculum is designed to develop industrial engineers (IE‘s) capable of planning, designing, implementing, and managing integrated production and service delivery systems that assure performance, reliability, maintainability, schedule adherence and cost control.

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Accredited by the Engineering Accreditation Commission of ABET
http://www.abet.org

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Program Description

The Industrial Engineering program of the Polytechnic University was created in 1980. To ensure the quality of our program since 1995 and every 6 years we receive the visit of the ABET Accrediting Agency (www.abet.org). The Bachelor Degree of Science in Industrial Engineering was developed and accredited following the Engineering Accreditation Commission criteria of the ABET Accrediting Agency. Our curriculum is designed so that the graduate can solve complex problems as well as capable of planning, designing, implementing, and managing integrated production and service delivery systems that assure performance, reliability, maintainability, schedule adherence and cost control. The systems may be socio technical in nature and integrate people, information, materials, equipment, processes, and energy throughout the life cycle of the product, service, or program.

Industrial Engineering adopts as its goals: profitability, effectiveness, efficiency, adaptability, responsiveness, quality, and the continuous improvement of products and services throughout their life cycles. The humanities and social sciences, computer sciences, basic sciences, management sciences, along with physical, behavioral, mathematical, statistical, organizational and ethical concepts will be used to achieve competitive integration of operational systems of the organization.

Degree Offered

The Industrial and Systems Engineering Department offers undergraduate instruction leading to the degree of Bachelor of Science in Industrial Engineering (BSIE).

Career Opportunities

Manufacturing and service companies in both the private and public sectors seek Industrial Engineering graduates for their skills and competencies. In addition to the manufacturing industries such as pharmaceutical, electronics, medical devices and assembly-processes companies, which traditionally hire IE’s; other employers of our graduates include banks, hospitals, logistics-distribution firms, retailers, and consulting firms. Practicing industrial engineers serve as transition and integration consultants as well as developers and system architects in the design for productivity and usability of products and services. Industrial engineers, in senior positions, are sought as strategic planners and integrators because of their grasp of comprehensive and complex systems.

IE’s lead and manage engineering, manufacturing, service delivery, research and entrepreneurial firms, always searching for and fostering continuous change and improvement. In short, IE’s are called upon to help assure profits, total quality control, cost effectiveness, timeliness, and satisfactory results for customers and strategic impact through continuous improvement and innovation initiatives. Industrial Engineers are particularly sensitive to promoting human values of health, safety and satisfaction. The typical career path is an entry-level engineering or line supervision position that progresses to a management position in the firm or institution. Often, Industrial engineers ultimately become chief executive officers of their organizations.

Program Mission

The PUPR Industrial and Systems Engineering Department is committed to the academic and professional development of every student. We demonstrate that commitment by providing an educational experience that cultivates excellence and innovation, as well as knowledge and practical experience. Our graduates will acquire fundamental skills, such as critical thinking, leadership, and entrepreneurship to face a competitive, changing and globalized world. These skills will help them contribute to the solution of complex problems for their community and motivate continuous learning throughout their career.

Program Educational Objectives

Within a few years of graduation, PUPR BSIE program graduates are expected to attain the following:

1. Make suitable, innovative and responsible decisions that contribute to the improvement of the systems’ overall goals and objectives.

2. Become competent leaders of their profession and role models of their communities.

3. Acquire new knowledge and expertise to stay competitive in industrial and systems engineering and other fields of studies.

Student Outcomes

Our Industrial Engineering students will be demonstrating at graduation time the following student outcomes:

1. An ability to identify, formulate, and solve complex industrial engineering problems by applying principles of engineering, science, and mathematics.

2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.

3. An ability to communicate effectively (written and oral) with a range of audiences.

4. An ability to recognize ethical and professional responsibilities in industrial engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.

5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.

6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.

7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Enrollment

ACADEMIC YEAR ENROLLMENT
2011-2012 298
2012-2013 286
2013-2014 271
2014-2015 278
2015-2016 273
2016-2017 265
2017-2018 290
2018-2019 312
2019-2020 354

 

Graduation Data

ACADEMIC YEAR DEGREES AWARDED
2010-2011 24
2011-2012 58
2012-2013 27
2013-2014 64
2014-2015 29
2015-2016 41
2016-2017 38
2017-2018 35
2018-2019 36

Industrial Engineering Program Graduate Employment Statistics

 

Dónde están trabajando nuestros egresados 2019Dónde están trabajando nuestros egresados 2018

Industrial Engineering Program Graduate Employment Statistics

 

Curriculum


Graduation Requirements

In order to earn the degree, the student must complete the following minimum requirements:

  • 18 Credit-hours in Mathematics
  • 14 Credit-hours in Basic Science
  • 21 Credit-hours in Socio-Humanistic Studies and Languages
  • 22 Credit-hours in General Engineering
  • 62 Credit-hours in Industrial Engineering
  • 10 Credit-hours in IE Departmental Electives
  • 147 Total Credit-Hours

Course Description

 

ENGI 2124: STRENGTH OF MATERIALS

Three credit-hours. Two two-hour lecture periods per week.
Prerequisite: ENGI 2110 OR ENGI 2910.
 

Introduction to stress and strain. Relationship between stress and strain. Stress and strain in members subjected to axial loads. Buckling of columns. Stress and strain in bars subjected to torsion. Bending stress and shear stress in beams.

 

ENGI 2260 – ENGINEERING ECONOMICS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: MATH 1350 

Introduction to economic evaluation of investments for engineering projects. Life cycle costing. Depreciation and income tax determination. Replacement analysis. Evaluation of public projects.

 

ENGI 2270- ENGINEERING PROBABILITY AND STATISTICS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: MATH 1350 

This course introduces the student to the basic concepts on probability and statistics and its application to the solution of engineering problems. Principles of probability theory, discrete and continuous random variables, probability distribution, hypothesis testing, correlation and simpler linear regression concepts will be essential to identify, formulate and solve engineering problems.

IE 1000 – INTRODUCTION TO INDUSTRIAL ENGINEERING

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: MATH 1330
This course offers students an overview of Industrial Engineering including major areas of study, techniques and software. A hands-on approach using case studies and lab exercises is used to present IE concepts and techniques.

 

IE 1560 – INTRODUCTION TO PROJECT MANAGEMENT

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: IE 1000
Role of project manager. Techniques for project selection, planning and control. Principles and methods for project budgeting and monitoring. Resource allocation analysis. Use of project management software (MS Project 2010).

 

IE 1611- COMPUTER TOOLS FOR IE’S LAB I

One (1) credit-hours. Four-hour lecture periods per week.
Pre-requisites: NONE 

Introduction to the use of computer software commonly used by industrial engineers in their day to day work. Key discussions on technology literacy and technological competence. Focus on data and process analysis using Minitab and Excel to be able to improve probability and statistics data analysis as well as process performance capabilities.

 

IE 2110- FINANCIAL AND COST ACCOUNTING

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 1611, SOHU 2040 

Introduction to Financial and Cost Accounting. Introduction to double entry accounting. Development of the cost of goods sold statement, preparation of an activity based costing analysis. Preparation of an annual budget from production to include projected balance statement. Financial ratios. Relationships between activities, costs of resources, objectives and purposes. Use of cost-volume-profit (CVP) analysis as a planning and decision making aid.

 

IE 2210- PROBABILITY FOR ENGINEERS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: MATH 1350
Co-requisite: IE 1611

 Introduction to descriptive statistics. Principles of probability theory. Random variables and functions. Expected value and variance of a random variable. Discrete and continuous probability distributions.

 

IE 2220- STATISTICS FOR ENGINEERS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: IE 1611, IE 2210 

This course introduces the student to the basic concepts on statistics and its application to the solution of engineering problems. The hypothesis testing, correlation and simpler linear regression concepts will be essential on the analysis of integrated systems, processes or components.

 

IE 2310- WORK DESIGN & HUMANS FACTORS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 2210, ENGI 2910.

A comprehensive study of the Human Factors Engineering emphasizing the systems approach to workplace and machine design. Emphasis is placed on optimizing the Human-Machine System interface by learning about the human musculoskeletal and cognitive capabilities and limitations. Topics covered include work physiology, human information processing, workstation design, biomechanics, displays and controls, human visual and auditory systems, and metal workload assessment.

 

IE 2311- WORK DESIGN & HUMANS FACTORS LABORATORY

One (1) credit-hour. Four-hour laboratory period per week or equivalent. 

Co-requisite: IE 2310

A hands-on experience in Work Design and Human Factors Engineering. Emphasis is on in-depth practices of the main tools obtained in the Work Design and Human Factors course, in real workplaces and/or scenarios. The laboratory will cover anthropometry, workstation design, manual material handling, illumination and noise studies.

 

IE 2611- COMPUTER TOOLS FOR IE’S LAB II

One (1) credit-hours. Four-hour lecture period per week.
Pre-requisites: IE 1611 

Introduction to the use of computer software commonly used by industrial engineers in their day to day work. Including spreadsheets-presentation software, Database management (MS Access) and Computer Aided Drawing using Sketchup.

 

IE 3222 – STATISTICAL QUALITY CONTROL

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: IE 2220

Fundamental concepts of Six Sigma and Lean. A comprehensive discussion of the major aspects of using statistical methodology for quality control and improvement and waste elimination. In-depth discussions of the DMAIC methodology discussing the details of the Define and the Measure tools related to statistical process Control, including the 7 tools for SPC, process capability analysis, measurement system analysis and introduction to acceptance sampling plans.

 

IE 3360- JOB DESIGN & WORK MEASUREMENT

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: IE 2310, ENGI 2260
Co-requisite: IE 3222 

Introduction to principles and techniques for analysis, design and measurements of work methods. Emphasizes in motion and time study. Among the topics covered are operation analysis, learning curve methodology, line balancing, worker and machine relationship, and work measurement techniques such as stopwatch, predetermined time, standard data and work sampling.

 

IE 3361- JOB DESIGN & WORK MEASUREMENT LABORATORY

One (1) credit-hour. Four-hour Laboratory period per week or equivalent.
Pre-requisite: IE 2311
Co-requisite: IE 3360 

Laboratory practices in analysis, design and measurements of work methods. Emphasis is placed on an in-depth practice of the main tools obtained in Job Design and Work Measurement course. The laboratories will cover practices related to stopwatch, performance factors, allowance factors, learning curve and predetermined time. A hands-on project to provide experience in the manufacturing industry implementing Stopwatch, MTM and Work Sampling techniques.

 

IE 3410 – MATERIALS MANAGEMENT AND INVENTORY CONTROL

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 2110, IE 2220 

Introduction to inventory management and systems. Analytical methods for control and maintenance of inventory, emphasizing in mathematical models such as deterministic models for independent and discrete demand, and probabilistic models for independent demand, considering the safety stock and service level systems. Introduction to Materials Requirement Planning for inventory systems with dependent demand.

 

IE 3411 – INNOVATION AND VALUE PROPOSITION DESIGN LABORATORY

One (1) credit-hour. Four-hour Laboratory period per week or equivalent.
Pre-requisites: NONE 

This course is developed to increase the entrepreneurial spirit and tools in order to assess and organize customer’s needs and expectations and to better translate this information with specific methods toward customer value creation and corresponding business innovative solutions.

 

IE 3422- OPERATIONS RESEARCH MODELS I

Three (3) credit-hours. Two two-hours lecture periods per week.
Pre-requisites: IE 2210, MATH 2360 

Deterministic and probabilistic models in Operations Research. Includes the use of linear programming techniques for modeling and solving linear problems. Mathematical algorithms are Simplex and the Dual, transportation, and assignment. Computer software is used to perform sensitivity analysis for LP problems. Probabilistic models include birth and death processes and queuing theory.

 

IE 3500 SERVICE ENGINEERING AND MANAGEMENT

Three (3) credit-hours. Two two-hours lecture periods per week.
Pre-requisites: IE 2611, IE 3222 

The course will provide to the student the profile of the operation processes of several service industries. This profile will be used as a framework to develop operational improvement alternatives directed to enhance service delivery. Service operational management concepts will be presented combined with analytical tools to develop optimal solutions for process constraints.

 

IE 3510- PRODUCTION PLANNING AND CONTROL

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 3410 

Co-requisite: IE 3360 

Analysis of Production System and interaction with Organizational Structures. Includes quantitative methods for forecasting, planning, capacity analysis, line balancing, and production scheduling and distribution strategies. Introduction to manufacturing philosophies such as Just in Time and Theory of Constraints.

 

IE 3522- OPERATIONS RESEARCH MODELS II

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 2220, IE 3422 

Markov Chain concepts, Simulation principles and decision making under uncertainty. Use of animated simulation to evaluate the performance of different hypothetical manufacturing and service operations. Case studies to identify operational problems develop and test “what if scenarios”.

 

IE 3530- INDUSTRIAL ORGANIZATIONAL BEHAVIOR

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 2310, IE 2311 

This course offers a conceptual framework for the study, understanding, and application of human behavior in organizations from the viewpoints of an industrial engineer. Discussion of historical and behavioral science research methodology. Examines interrelation of personality, perception, attitudes and job satisfaction. Focus is on the importance of motivation, group dynamics, and leadership and modern organization design.

 

IE 3570- LOGISTICS SYSTEMS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 2110

This course is designed to provide the five logistics functions integrated in a supply chain organization. Negotiation tools, capacity analyses, requirement planning, transportation strategies and storage technologies are integrated in one complete system.

 

IE 3620- MODELING AND SIMULATION ANALYSIS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: IE 2611, IE 3522 

The application of computer simulation to industrial settings is taught. Areas covered include system structure, system analysis, model construction, data collection, and computer aided design (CAD). The application of simulation to facilities layout for manufacturing is emphasized.

 

IE 3710- INDUSTRIAL MANUFACTURING PROCESSES

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: ENGI 3510 

Fundamentals of Modern Manufacturing Technologies. Includes basic principles of selecting component materials, value-added processes, testing techniques and systems. An introduction to Computer Numerical Controlled Machines.

 

IE 3711- PROCESSES AUTOMATION LABORATORY

One (1) credit-hour. Four-hour Laboratory period per week or equivalent.
Pre-requisite: ENGI 2310, ENGI 2320 

Laboratory experiences in automation and robotics using electrical, electronic, and pneumatic control systems. The laboratory practices include the selection and implementation of sensors and actuators along with Programmable Logic Controllers and Microprocessor Systems. This laboratory course emphasizes team work and communication skills through the submission of oral and written reports situations.

 

IE 3720- INTRODUCTION TO SYSTEMS ENGINEERING

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: IE 2310, IE 2220

Systems Engineering is an integrative and highly dynamic field that deals with work-processes, optimization methods, and risk management tools in large and complex problems and particularly for the delivery aspect of those problems, using a highly structured problem-solving methodology, multiple stakeholders mapping and a robust project-delivery approach. Systems Engineering then requires integration from diverse technical disciplines, particularly with the specifics arising from product and process issues in the areas of reliability, logistics, team collaborative environments (design management) and evaluation measurements. Through this course using a case-study approach, Systems Engineering will also build-upon emerging areas of Design Thinking and Service Design to further develop engineering capabilities to deal with complex non-linear problems.

 

IE 4212 LEAN SIX SIGMA

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 2611, IE 3222 

The LSS course carefully develops hypotheses about lean thinking and process experimentation to drive value-added thinking. LSS continues to build upon the DMAIC methodology to understand key problem solving advancement phases and tools that enable, apply and target projects for variability and cost reduction while increasing customer satisfaction and the overall experience.

 

IE 4910- FACILITIES PLANNING AND DESIGN

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: IE 3361, IE 3422, IE 3510 

Understand and be able to develop a detailed-24-step execution plan using a systematic approach to facilities planning and design. Understand the relationship between facilities planning and the lean thinking way of doing things. Understand the flow analysis techniques and apply them to different situations to assess facilities performance metrics and be able to develop measurable alternatives and recommendations. Apply the different sources of information required to build a plant layout and apply the layout cost function based on the flow x distance criteria.

 

IE 4915- FACILITIES PLANNING AND DESIGN PROJECT

One (1) credit-hour. By arrangement
Pre-requisite: IE 4910 

Understand and be able to apply a detailed-24-step execution plan using a systematic approach to facilities planning and design. Be able to simplify a visual thinking to the systematic approach by using a “A3 method-brown paper canvas” to display required data to assess, evaluate and generate alternatives for the layout problem at hand. Be able to define the layout design problem by acquiring key customer and stakeholders’ information and organizing the data into clear and actionable goals with specific performance metrics.

 

IE 4960- INDUSTRIAL ENGINEERING PRACTICE

Three (3) credit-hours. By arrangement.
Pre-requisite: Department Head Approval

The student will participate in a real life work experience in a manufacturing or service facility during the entire academic term. Through this professional practice, the student should apply the theory and practice of an Industrial Engineer working in a real life project or projects and to significantly impact the wellbeing of the organization. The student will attend the facility as a regular employee and under the supervision of an Industrial Engineer or an organizational manager.

 

IE 4990- CAPSTONE DESIGN COURSE

Three (3) credit-hours. By arrangement
Pre-requisite: IE 4212, IE 4910 and Department Head Approval
Co- requisites: IE 4915 

Students will be initiating a systematic design process in order to solve an industrial engineering real life problem at a company. Students will work on industry projects that are evaluated academically by the instructor and professionally by a company-assigned technical point-of-contact. The emphasis of this course is on the identification of, solutions to, recommendations for, and presentations to management using the DMAIC methodology. The Define, Measure and Analyze phases of a project are expected to be completed by the end of the term. Teams will integrate knowledge gained from previous courses and will take into consideration appropriate engineering standards and multiple design constraints.

 

IE 4995- CAPSTONE DESIGN COURSE EXTENSION

Three (3) credit-hours. By arrangement
Pre-requisite: IE 4990 

Students will be completing a systematic design process in order to solve an industrial engineering real life problem at a company. Students will work on industry projects that are evaluated academically by the instructor and professionally by a company-assigned technical point-of-contact. The emphasis of this course is on the identification of, solutions to, recommendations for, and presentations to management using the DMAIC methodology. The Improve and Control phases are expected to be completed by the end of the term. Teams will integrate knowledge gained from previous courses and will take into consideration appropriate engineering standards and multiple design constraints.

 

IE 5224 QUALITY MANAGEMENT SYSTEM

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisites: IE 3222

This course provides students with the basic knowledge and skills needed to analyze a different quality system program: ISO 9001, 13485 and the FDA’s Quality System regulation: 21 CFR 820 and 21 CFR 210-211. How the requirements impact the day-to-day operations of organizations in any industry. Students learn by participating in group exercises and in-depth discussions.

 

IE 5990- SPECIAL TOPICS

Three (3) credit-hours. Two two-hour lecture periods per week.
Pre-requisite: Upon IE Department Head recommendation 

Open course to include topics of special interest and actuality in the manufacturing and service environment.

 

IE 5990 A/B- UNDERGRADUATE RESEARCH PROPGRAM

Three (3) credit-hours. By arrangement
Pre-requisite: Upon IE Department Head recommendation 

This course is designed to provide the undergraduate research student with the necessary tools for the design and planning of an investigation. In addition, the necessary aspects of documentation and ethical elements. It is expected that the student’s research with his mentor will contribute to the development of knowledge in industrial engineering field.