Faculty of Engineering - Department of Industrial Engineering

Course Description

IE 200             Technical Communication Skills

Communication skills are developed through task-based learning by involving students in writing, speaking and listening tasks in English. It also includes in-depth reading, information gathering, analyzing, criticizing, presenting, paraphrasing and summarizing.  By the end of the course each student should have completed a set of the aforementioned tasks culminating into a full-fledged AIMRAD-based research report that is communicated both in writing and orally using appropriate electronic means of communication.

Prerequisites              ELIS 104

 

 

IE 201             Introduction to Engineering Design I

Introduction to active learning: teamwork, 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.

Prerequisites              COMM 101, ELIS 104

 

 

IE 202             Introduction to Engineering Design II

Engineering design process. Hands–on real life and team–based engineering design project: Project management, Problem definition, Functions and requirements, Alternative solutions, Modeling, Analysis and optimization, Prototyping, Experimental analysis, Communicating design outcomes.

Prerequisites              IE 200, IE 201

 

 

IE 255             Engineering Economy

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

Prerequisites              MATH 110

 

 

IE 256             Engineering Management

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.

Prerequisites          IE 255

 

 

IE 311             Operations Research I

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 241

 

 

IE 321             Fundamentals of Computer Systems

Fundamentals of computers; hardware, software and computer systems concepts. Introduction to operating systems and data processing. Overview of programming languages. Internet and computer security. Introduction to software packages for Industrial Engineering applications.

Prerequisites              EE 201

 

 

IE 322             Computer Applications in Industrial Engineering I

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

Prerequisites              IE 321

 

 

IE 323             Computer Applications in Industrial Engineering II

Introduction to computer applications, databases and relational database management systems. Design and development of databases. Management of database users and security. Introduction to front-end and its connectivity with the database.

Prerequisites              IE 322

 

 

IE 331             Probability and Engineering Statistics

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.

Prerequisites              STAT 110, MATH 207

 

 

IE 332             Engineering Statistics

Basic notions of statistics applicable to engineering problems. Moment generating functions. Random samples and sampling distributions. Parameter estimation. Hypothesis testing. Nonparametric tests. Simple and multiple regressions.

Prerequisites              IE 331

 

 

E 341              Work Study

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.

Prerequisites              IE 331

 

 

IE 342             Human Factors Engineering

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

Prerequisites              IE 341

 

 

IE 351             Industrial Management

Introduction to industrial management. Economic concepts in industry. Organizational structure and design. Human resource management. Motivating the work force. Managing information technology. Financial management. Engineers in marketing and services. Job analysis, job description and job specification. Preparation of business plan.

Prerequisites              IE 256

 

 

IE 352             System Analysis and Design

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              IE 351

 

 

IE 390             Summer Training

10 weeks of supervised hands-on work experience at a recognized firm in a capacity which ensures that the student applies his engineering knowledge and acquires professional experience in his field of study at KAU.  The student is required to communicate, clearly and concisely, training details and gained experience both orally and in writing. The student is evaluated based on his abilities to perform professionally, demonstrate technical competence, work efficiently, and to remain business focused, quality oriented, and committed to personal professional development.

Prerequisites              IE 422, IE 432

 

 

IE 395             IE Seminar

Literature review methodologies and sources. Review of a recently published IE book or topic pertaining to contemporary social, economic or environmental issues in industrial engineering. Delivering a seminar lecture by a team of students based on a term paper prepared by them.

Prerequisites              IE 351

 

 

IE 400             Cooperative Work Program

Undertaking practical training for 26 weeks under supervision of an academic advisor and a company supervisor in a company performing industrial engineering activities. Submitting, as per schedule, three coop progress reports. Submitting a coop final report containing matters as specified in the cooperative education program document. Multimedia presentation of achieved work.

Prerequisites              IE 422, IE 432

 

 

IE 411             Operations Research II

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

Prerequisites              IE 311, IE 332

 

 

IE 412             Decision Analysis

Principles of decision making under uncertainty. Decision models: influence diagram and decision tree. Solution and analysis of decision problems. Value of information. Attitudes towards risk. Utility theory. Multi-attribute decision problems.

Prerequisites              IE 255, IE 331

 

 

IE 413             Network Analysis

Introduction to network analysis with industrial applications. Systems modeling and analysis using network techniques. CPM with LP formulation, PERT with LP formulation and cost analysis. Other network algorithms: Minimum spanning tree, shortest path and maximal flow problem. Flowgraph theory. GERT: exclusive OR networks.

Prerequisites              IE 311, IE 331

 

 

IE 415             Project Management

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              IE 351

 

 

IE 421             Industrial Information Systems      

General concepts. Values and attributes of information. Different types of information systems. Concepts of managerial information systems. ِِِAnalysis, design and development of industrial information systems. Developing information systems by using microcomputers

Prerequisites              IE 323

 

 

IE 422             Industrial Systems Simulation

Basic techniques of computer simulation, building simulation models, organization of simulation studies, modeling concepts of and its application to the medium and large-scale production and services system problems

Prerequisites              IE 322

 

 

IE 423             Computer Aided Manufacturing Systems

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              IE 322

 

 

IE 424             Data Processing Operations

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.

Prerequisites              IE 323

 

 

IE 425             Industrial Information Security

Introduction to information security. Assessment of threats, vulnerabilities and risk exposure. Models for estimating risks and optimizing return on information security investment. Computer forensics, electronic evidence, frauds, cyber terrorism and computer criminal laws.

Prerequisites              IE 321

 

 

IE 431             Industrial Quality Control

Introduction to quality systems: ISO, Cost of quality; Review of statistical concepts; Management planning tools, tree diagram, matrix diagram, FMEA and VSM; The DMAIC process; Control charts for variables, attributes and Batch processes, Process capability analysis; Acceptance Sampling Plans (Single plans and multiple plans), Operating characteristics curves; Taguchi's philosophy, Quality Loss Functions, Robust, six sigma and Reengineering. Statistical quality control: control charts for variables and attributes, process capability analysis, acceptance sampling plans. Quality function deployment. Quality circles. Quality loss functions.

Prerequisites              IE 332, IE 351

 

 

IE 432             Design of Industrial Experiments

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

Prerequisites              IE 332

 

 

IE 433             Reliability Engineering

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              IE 332

 

 

IE 434             Industrial Stochastic Systems

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.

Prerequisites              IE 332

 

 

IE435              Queuing Systems

Characteristics of queuing systems. General arrival and service patterns. Poisson process and Erlangian models. Birth and death processes in queuing systems. Markovian and non-Markovian queuing models. Steady state and transient solutions. Optimization in queuing systems. Queuing applications in production, transportation, communication and public service systems.

Prerequisites              IE 331

 

 

IE 436             Dynamic Forecasting

Time series and forecasting. Forecasting accuracy. Monitoring and controlling forecasts. Linear and multiple regression with forecasting applications. Box-Jenkins (ARIMA) methodology. Introduction to fundamental and technical analysis with applications in financial markets. Introduction to neural networks. Judgmental forecasting.

Prerequisites              IE 332

 

 

IE 441             Industrial Safety Engineering

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.

Prerequisites              IE 342

 

 

IE 442             Industrial Hygiene Engineering

Occupational exposure: permissible levels and legal aspects. Hazards' anticipation and recognition. Physical hazards particularly heat, noise and vibration, light, non-ionizing and ionizing radiations: assessment and control. Chemical agents: assessment and control. Industrial ventilation. Design of local exhaust systems.

Prerequisites              IE 342

 

 

IE 443             Industrial Environmental Engineering

Basics of natural systems. Industrial environment as part of the ecological system. Water quality management. Wastewater treatment. Air pollution. Noise pollution. Solid waste management. Hazardous waste management. Ionizing radiation. Case studies.

Prerequisites              IE 342

 

 

IE 444             Occupational Biomechanics

Introduction to Occupational Biomechanics. Kinematics and kinetics. Anthropometry. Mechanical work-capacity evaluation. Bioinstrumentation for Occupational Biomechanics. Biomechanical models. Methods of classifying and evaluating manual work. Manual material handling limits. Biomechanical considerations in machine control and workplace design. Hand tool design guidelines. Guidelines for seated work.

Prerequisites              IE 342

 

 

IE 450             Marketing Management and Research

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              IE 351

 

 

IE 451             Production Planning and Control

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              IE 351

 

 

IE 452             Maintenance and Replacement Policies

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.

Prerequisites              IE 332, IE 351

 

 

IE 453             Facilities Planning

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.

Prerequisites              IE 342, IE 352

 

 

IE 454             Engineering Cost Analysis

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              IE 255

 

 

IE 455             Material Handling and Packaging

Historical development of material handling and packaging. Objectives and principles of material handling. Material handling concepts: unit load, containerization, ASRS. Types of material handling equipment and their economics. Role of packaging in material handling. Areas of special importance to packaging. Package design. Economics of packaging. Package research and testing. Management of the packaging function.

Prerequisites              IE 255, IE 331

 

 

IE 456             Feasibility Studies

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.

Prerequisites              IE 255, IE 352

 

 

IE 457             Supply Chain Management

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.

Prerequisites              IE 351

 

 

IE 458             Strategic Management in Industry

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.

Prerequisites              IE 351

 

 

IE 459             Introduction to Entrepreneurship

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

Prerequisites              IE 351

 

 

IE 490             Special Topics in Industrial Engineering

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.

Prerequisites              Department Approval

 

 

IE 491             Industrial Engineering Practice

Overview of all areas of Industrial Engineering (IE). Identification of specific IE tools for industrial and business enterprises. Brainstorming sessions of several pre-selected industrial and business enterprises. Visiting the sites and conducting walk-through surveys. On-site studies of IE applications and practices. Preparation of visit-reports containing findings, comments and recommendations pertaining to every visit. Multimedia-based presentation of visit-reports.

Prerequisites              IE 341, IE 351

 

 

IE 499             Senior Project

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.

Prerequisites              IE 422 and IE 432

 

 

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Last Update 6/27/2020 9:31:15 PM