COURSE DESCRIPTION

Prerequisite: ELI 104

Writing skills: writing strategies, general versus technical writing, technical report writing. Presentation skills: use of spoken English, professional computer-based oral presentations. Project-based course work on technical communication.

Prerequisites: COMM 101, IEN 101

Introduction to active learning: team work, team dynamics, team norms and communication, conducting effective meetings and quality assessment. Problem solving procedure: problem definition, generation of solutions, selection methodology, solution implementation, assessment of implementation. Levels of learning and degrees of internalization. Ethical decision. Organization of the work and design notebook. Reverse engineering and design projects.

Prerequisite: IEN 201

Engineering design process. Computer modelling and heuristics for solving problems, in teams, in the areas of comparison of strategies, trade-offs, decision making, stochastic processes, optimization and expert systems. Interpretation of results. Preparation of professional technical reports of engineering work and multimedia presentation.

Prerequisite: MATH 110

Fundamentals of engineering economy. Time value of money. Evaluation of alternatives. Replacement and retention analysis. Break even analysis. Depreciation methods. Basics of inflation.

Prerequisites: IEN 202, IEN 255

Role of engineers in management of organizations. Managerial functions related to production, inventory and human resources. Project planning and control. Case studies pertaining to engineering problems.

Prerequisite: MATH 204

Introduction to Operations Research. Formulation of linear programming problems. Graphical solution. The Simplex algorithm. Duality and sensitivity analysis. Transportation and assignment problems. Integer and Goal programming.

Prerequisites: MATH 204, EEN 170

Provide the student with basic skills useful in identifying the concepts of automatic control, automated machines and equipment and describe the terms and phrases associated with automatic control and industrial automation. The student will perform preventative maintenance, identify or solve problems in machines, and other technologies. Performance will be satisfactory when student can demonstrate competence in maintaining and troubleshooting technology includes identifying, understanding, and performing routine preventative maintenance and service on technology; detecting more serious problems; generating workable solutions to correct deviations; and recognizing when to get additional help.

Prerequisite: EEN 170

Basics of computer programming languages. Object oriented programming concepts. Development of application and appropriate algorithms for solving Industrial Engineering problems.

Prerequisites: IEN 322, MATH 204

System definition, characteristics and concepts. Systems development projects: identification, selection, initiation, planning and managing. System analysis: determining and structuring requirements. System design: overview, forms and reports, interfaces and dialogues, and finalizing design specifications. Designing distributed and internet systems. System implementation and maintenance.

Prerequisites: STAT 110, MATH 202

Descriptive statistics with graphical summaries. Basic concepts of probability and its engineering applications. Probability distributions of random variables. Confidence intervals. Introduction to hypothesis testing. Correlation and linear regression.

Prerequisite: IEN 331

Introduction to Work Study (WS). Productivity and WS. WS approaches. Basic procedure of motion study: job selection, recording facts, critical examination, etc. String diagram, Multiple activity chart, Travel chart. Principles of motion economy. Two-handed chart. Fundamental hand motions. Micro-motion and Memo-motion studies. Cyclegraph and Chrono-cyclegraph. Work Measurement (WM). Work sampling. Time study. Computerized WM. PMTS: MTM, Work factor and Standard data. Wage payment and incentive plans.

Prerequisite: IEN 341

Introduction to human factors engineering. Muscular work. Nervous control. Work efficiency. Body size and anthropometrics. Work station design. Heavy work. Handling loads. Man-machine systems. Mental activity. Fatigue. Stress and boredom. Vision and lighting. Noise and vibration.

Prerequisites: MEN 130, CHEN 210

To introduce the students with the fundamentals of: the role of manufacturing processes, mechanical behavior of materials, casting processes, bulk deformation processes, material removal processes, sheet metal forming processes and modern manufacturing systems.

Prerequisite: IEN 361

Fundamentals of cutting. Mechanics of chip formation. Cutting forces and power. Effect of temperature on cutting. Tool life. Machinability: Metal removal rate, Cutting tool materials and fluids. Machining processes: turning, thread cutting, boring, drilling, reaming, milling, shaping and planning, broaching, gear cutting. Abrasives, grinding wheels, grinding processes. Super finishing process: Lapping, honing, blasting. Non-conventional machining: Principles, Ultrasonic machining, Electromechanical Machining, Electro-discharge Machining, Plasma Arc Machining, Laser Beam Machining, Electron Beam Machining. Numerical Control of Machine Tools: Automation of Manufacturing Processes, Numerical Control, Coordinate systems, Types and components of CNC systems, Programming for CNC, Adaptive control, Computer Integrated Manufacturing.

Prerequisite: IEN 361

Manufacturing operations, manufacturing models and performance metrics, design of manufacturing systems including cellular, manufacturing and flexible manufacturing systems. Analysis of process selection, planning, optimization and economic of manufacturing systems, group technology, transfer lines. Computer–aided manufacturing.

Prerequisites: IEN 101, IEN 202, Completed at least 110 credit units

On-site industry based training spanning over a period of 8 weeks in a manufacturing or service industry under the supervision of an industry based advisor. Documentation of the training in the form of an Industrial Training report presenting details of the work undertaken. Multimedia presentation illustrating the achievements of training.

Prerequisites: IEN 101, IEN 202, IEN 390, GPA 3.0

Occupational experience in an industrial facility for one complete semester (4 months). Work experience is cooperatively planned by the department and employer to fulfill the student’s objectives. Students apply classroom and laboratory concepts and principles in an industry work environment.

Prerequisites: IEN 311, IEN 331

Non-linear programming. Dynamic programming. Inventory models. Waiting line models. Markov analysis. Introduction to Game theory. Applications in industrial, service and public systems.

Prerequisite: IEN 331

Deterministic and stochastic processes. Poisson process and related distributions. Birth and death processes. Markov processes with continuous state space. Renewal process and theory. Markovian decision processes in industry. Markovian and non-Markovian systems. Stochastic models for transportation and maintenance systems. Introduction to simulation modeling of stochastic systems.

Prerequisite: IEN 323

Basics of computer programming languages. Object oriented programming concepts. Development of application and appropriate algorithms for solving Industrial Engineering problems.

Prerequisites: IEN 322, IEN 331

Basic theory of industrial simulation. Building simulation models. Organization of simulation studies. Simulation modeling and application to medium and large-scale production and service system problems. Output analysis. Variance reduction and optimization. Use of software such as ARENA for discrete and continuous system simulation.

Prerequisites: IEN 255, IEN 323

Introduction to feasibility studies: project identification, product mix and scope. Marketing feasibility: present and future market study, demand, pricing, and revenue. Technical feasibility:  site selection, material, labor, equipment, knowhow, and shipping. Financial feasibility: project financing, production cost, break-even analysis, profitability analysis Organizational and administrative feasibility: Organizational structure, governmental regulations, safety and environmental standards, patents and human relations. Reporting and presentation. Case studies.

Prerequisite: IEN 421

Concepts of advanced database management system design, principles and techniques. Entity relationship diagram. Normalization. Object oriented and object relational databases. Data warehousing. Data mining. Web and semi structural data. Data Security.

Prerequisite: IEN 331

Introduction to quality systems. Cost of quality. Total quality management. Quality systems and standards: six sigma and ISO. Reengineering. Statistical quality control: control charts for variables and attributes, process capability analysis, acceptance sampling plans. Quality function deployment. Quality circles. Quality loss functions.

Prerequisite: IEN 331

Principles of experimental design. Randomized complete block designs. Latin square and Graeco-Latin square designs. General factorial designs. 2^k Factorial designs. Response surface methodology and robust design. Planning, performing and analyzing industrial experiments.

Prerequisite: IEN 331

Introduction to reliability analysis. Reliability measures: reliability function, expected life, hazard function of important distribution functions. Hazard models and product life. Extreme value distribution. Static reliability models. Dynamic reliability models. System effectiveness measures. Reliability allocation and optimization. Introduction to fault tree analysis and human reliability.

Prerequisites: IEN 256, IEN 331

Maintenance systems. Maintenance operation and control. Preventive Maintenance: concepts, modeling, and analysis. Maintenance planning and scheduling. Maintenance material control. Computerized Maintenance Management Systems. Replacement studies. Case studies.

Prerequisite: IEN 342

Accident: causes and costs. Appraising safety performance and risk assessment. Analysis of accident causes. Accident reports and records. Job safety analysis. Plant inspection. Accident investigation. Plant layout and arrangement. Plant housekeeping. Maintenance and safety. Material handling and safety. Machine guarding. Explosion and fire prevention. Personal protection. First aid. Planning for emergencies.

Prerequisite: IEN 256

Study of marketing theory. Methods of marketing. Interrelationship of the different phases of marketing strategies. Consumer decision processes through behavioral sciences. Theories and techniques of planning, analyzing and presenting market studies. Methodologies of marketing research with emphasis on primary research including questionnaire design.

Prerequisites: IEN 256, IEN 341

Basic concepts of Production and Operations Management (POM). Design of products and services. Processes and technologies. E-commerce and operations management. Inventory management. Supply-Chain management. Just-in-time and lean production. Forecasting. Material Requirements Planning (MRP). Introduction to Enterprise Requirement Planning (ERP). Capacity and Aggregate planning. Scheduling.

Prerequisites: IEN 323, IEN 341

Fundamentals of facilities planning. Facilities design. Flow, space and activity relationships. Material handling systems. Layout planning models. Warehouse operations. Quantitative facilities planning models. Preparing, presenting, implementing and maintaining facilities plan.

Prerequisite: IEN 255

Importance of cost analysis in engineering. Cost terms and concepts. Cost estimation for decision making: cost-volume-profit analysis, measuring relevant costs and revenues, cost assignment and activity-based costing. Cost evaluation of engineering alternatives. Case studies.

Prerequisites: IEN 255, IEN 331

This course will provide an intensive and coordinated approach to study the flow of goods and services from raw material suppliers to the final customer. This product flow will be reviewed from a global perspective, providing a comprehensive understanding of the international business. Students will gain an insight into every step of the global logistics process, from order processing and purchasing to packaging and warehousing. Different functional aspects of the logistics system are discussed including customer service, materials handling, packaging, storage and transportation. The course will discuss the consequences of globalization for local logistics structures, management concepts and strategies to control international networks as well as sustainability of supply chains.

Prerequisite: IEN 256

Introduction to engineering project management. Planning successful projects. Specifying, budgeting, implementing, executing, scheduling, delivery options, and closeout. Scheduling tasks and resources. Resource leveling. Common characteristics of projects. Network tools for project planning and monitoring. Cost optimization to meet project objectives. Project crashing, time-cost trade-offs. Risk analysis. Software for project planning and scheduling.

Prerequisites: IEN 256, IEN 451

Introduction to Supply Chains (SC). Flow across SC of products, information and revenue. SC operations: issues, opportunities, tools, approaches, inter-corporate relationships, incentives and risk factors. SC design: customer service, quality, logistics, inventory, business processes, system dynamics, control, design, and re-engineering. Integrated SC management: forecasting, global sourcing, and virtual integration. Technology as an SC tool: internet technologies and digital coordination of decisions and resources. Case studies.

Prerequisite: IEN 256

Overview of operations strategy for competitive advantage. Evaluation of a firm’s external environment using Porter Five Forces Model. Evaluation of a firm’s internal capabilities using the VRIO framework. Cost leadership versus product differentiation strategies. Vertical integration and corporate diversification. Strategic alliances, mergers and acquisitions. Real life examples and case studies from industry.

Prerequisite: IEN 451

Concepts, problems and techniques applicable to the operations of a variety of business organizations – manufacturing/production and services. The emphasis is on decision making (to include business ethics) in operational areas such as: facility requirements and utilization, control and coordination of resource inputs and outputs, types of transformation/conversion processes, and performance measurements. The course will analyze operations from both the strategic and operational perspectives and highlight the competitive advantages that operations can provide for the organization.

Prerequisites: MEN 100,  IEN 361

Foundation of CAD/CAM. Fundamentals of CAM. Computer graphics software and data. Computer aided manufacturing: numerical control, NC part programming, NC, DNC and CNC systems. Industrial robots and applications. Computer Integrated manufacturing systems (CIMS).

Prerequisites: MEN 100,  IEN 361

This course is designed to highlight the major automation-related subjects within the scope of manufacturing system. Special emphasis will be given on industrial robotics, robot programming and flexible manufacturing systems (FMS). Laboratory exercises will deal with robotic programming and experiment with FMS systems. The elements of a flexible manufacturing environment such as CNC machines, robots, conveyors are modeled and operated via OpenCIM software package.

Prerequisite: MEN 130

Introduction to Product Development, Introduction to Design For Manufacture And Assembly (DFMA), Selection of Material and Process, Design For Manual Assembly, Design For Automated Assembly, Design For Machining, Design For Injection Moulding, Design For Sheet Metalworking, DFMA software.

Prerequisite: IEN 361

Basics of CAM; Process engineering, manufacturing process optimization; Group technology; Methods of group technology; Cellular manufacturing systems; Computer aided process planning; Industrial robots application and programming.

Prerequisite: IEN 202

Overview of the entrepreneurial process from an engineering perspective. Idea generation, planning, financing, marketing, protecting, staffing, leading, growing, and harvesting. Basic framework for understanding the process of entrepreneurship, principles of management and related techniques in decision making, planning, marketing, and financial control. Exercises in practical ideas about launching own enterprises. Classroom lectures are combined with field study and exercises supplemented with guest lectures and case studies on small and medium scale industries. Students write startup business plans.

Prerequisite: IEN 256

Overview of the entrepreneurial process from an engineering perspective. Idea generation, planning, financing, marketing, protecting, staffing, leading, growing, and harvesting. Basic framework for understanding the process of entrepreneurship, principles of management and related techniques in decision making, planning, marketing, and financial control. Exercises in product design and prototype development, preparation of workable project feasibility reports, practical ideas about launching own enterprises. Classroom lectures are combined with field study and exercises supplemented with guest lectures and case studies on small and medium scale industries. Students write startup business plans.

Prerequisite: Department Approval

In-depth study of relevant industrial engineering topics not covered in other courses of the program in order to enhance students' knowledge in the field of industrial engineering.

Prerequisite: Completed at least 110 credit units

Technical writing skills. Project work: a team-based capstone design work involving a practical, open ended, real life unstructured problem having a set of alternative solutions; emphasis on synthesis of knowledge and skills to assimilate and demonstrate a professional attitude and ethics in problem solving with assessment of environmental, cultural and social impacts; final output in the form of written report based on specified standard format, followed by a multimedia presentation of the work undertaken in the project.

Prerequisite: IEN 498

Technical writing skills. Project work: a team-based capstone design work involving a practical, open ended, real life unstructured problem having a set of alternative solutions; emphasis on synthesis of knowledge and skills to assimilate and demonstrate a professional attitude and ethics in problem solving with assessment of environmental, cultural and social impacts; final output in the form of written report based on specified standard format, followed by a multimedia presentation of the work undertaken in the project.