IE 515:  Maintenance Engineering

Preventive maintenance, Predictive maintenance, Corrective maintenance, Advanced concepts (Reliability centered maintenance, Total productive Maintenance), Concepts of maintainability engineering, Design for maintainability, Availability, Decision models in maintenance management.

IE 516:  Manufacturing Planning and Control

Material requirement planning, Enterprise resource planning, Just-in-time manufacturing, Optimized technology, and supply chain management.

IE 517:  Analysis of Production Systems

Deterministic inventory problems, Single period problem, Stochastic inventory problems (continuous and periodic), aggregate production planning, and production planning optimization models.

IE 518:  Scheduling

Introduction to scheduling problem, performance measures of scheduling, single machine scheduling, parallel machine scheduling, flow shop scheduling, job shop scheduling, and project scheduling.

IE 520: Engineering Experimental Design

Sampling and descriptive statistics, Parameter estimation, Tests of hypothesis on the means, variance, and portions, Testing for goodness of fit, Non-parametric tests, Experiments with single factor, Randomized blocks, Latin squares and incomplete block designs, Factorial and fractional factorial designs, Regression analysis, Taguchi's concepts and approach to parameter design, Response surface methodology.

IE 523: Engineering Optimization I

Modeling techniques for selected case studies, and linear and nonlinear programming applications in engineering, Duality and optimality conditions, Revised primal and dual simplex methods, Sensitivity analysis, Interior point methods, Convex sets and functions, Algorithms for unconstrained and constrained optimizations, application for large size applications.

IE 524: Engineering Optimization II

Modeling with integer variables, optimal solutions techniques such as enumeration and cutting plane methods, decomposition algorithms, branch and bound methods, dynamic programming, and heuristic methods (Simulated annealing, Tabu search, Genetic algorithms, Artificial neural networks) and computerized real  applications.

IE 525: Stochastic Processes            

Stochastic processes, Poisson processes, Birth and death processes, Non-homogeneous Poisson processes, Renewal theory, Queuing models, Stochastic dynamic programming, Markovian decisions.

IE 526: Reliability Engineering       

Coherent systems analysis, Parametric life models, Specialized models, Lifetime data analysis and reliability testing, Loads, Capacity and reliability, Parametric and non-parametric models, Model adequacy.

IE 530: Quality Engineering

Principles of modern quality control techniques, Automatic process control, Process analysis and improvement, Principles and rules of TQM, Quality assurance Audit Programs, and ISO certification.

IE 535: Computer Simulation

Concept of simulation modeling, selecting the appropriate input distribution, random number generation, simulation languages, output analysis, alternative comparison, variance reduction technique, models of complex systems.

IE 541:  Industrial Safety Engineering I

National and international standards for preventing accidents in the workplace, design and implementation of loss prevention programs, recent developments in industrial system’s safety and risk analysis techniques, concepts and methods of occupational accident prevention, an introduction to risk management software.

IE 542:  Industrial Safety Engineering II

Concepts of designing safety workplace environment.  Safety principles in the design of equipment and protective equipment, fault-tree theory and application in industrial safety context, industrial safety regulations in various industries, methodology in safety inspection.

IE 544:  Human Factor Engineering I       

Design and evaluation of human/machine interface using microcomputer, human performance, visual displays, automated system monitoring, structure and biomechanics of bone, cartilage, skeletal muscles, dynamics and control of musclo-skeletal system models, workload and optimization process of physical and mental workload in industry, shift-work, modeling the relationship between human and machine.

IE 545: Human Factors Engineering II

Signal detection theory and applications, memory and attention, perception and optimization of verbal and non-verbal material, selection of action and reaction, optimizing mental workload and time-sharing in the workplace, continuous manual control.

IE 546: Engineering Work Design

Studying of work components and their limitations, workplace, machine and production tools design,  analysis of work performance and its times, data-base design in work design.

IE 550: Facilities Analysis and Design        

Analysis and design of material flow, Selection of facilities and equipment, Selection, Design and layout of facilities, Location analysis, Plant site selection, Discrete techniques and continuous techniques, Storage layout, Warehouse design and location, Material handling analysis, Handling system design and selection of handling equipment.

IE 556:  Design and Analysis of Manufacturing Systems

Classification of manufacturing systems; High volume manufacturing systems; Flexible manufacturing systems; Assembly systems design and planning; Material handling systems; Automated storage/retrieval systems; Modeling manufacturing systems; Manufacturing management and strategies; Emerging trends in manufacturing systems engineering.

IE 557: Advanced Manufacturing Processes        

Nontraditional machining and thermal cutting processes; Super finishing processes; Selection of manufacturing materials and processes; Joining and assembly processes; Design for manufacturing (processing and assembly); Product and production relationships.

IE 558: Computer Integrated Manufacturing

CIM strategy; CIM components, Concurrent engineering; GT and cellular systems; Robotic systems; Systems integration; Selection of CIM systems; Implementation of CIM systems; Modeling CIM systems; Enterprise resource planning; Future trends in CIM.

IE 559:  Manufacturing Automation

Factory automation strategies and methodologies; Flexible automations (Programmable logic controller); Programmable automation (Personal computer as controller); Actuators and sensors; Automation design and analysis; Machine cell automation design; Assembly automation.

IE 599: Research Project     

The project aims to develop the students' capability in searching for the technical and engineering principles, and finding solution for an applied problem in one the Industrial Engineering specialized field.  The student should become familiar with profession environment as graduate engineer in the society.  He would write an engineering report describing the problem, solution methodology, results and conclusion.

IE 600:  M.Sc. Thesis

 

 

Master of Quality Engineering

The progress of any nation has always been linked touts ability to provide knowledge and education opportunities to its people. In recent years, the Industrial Engineering Department in King Saud University noticed the growing need to establish a new track in the master program to address the demands of working professionals who seek higher education in quality engineering. The Saudi Aramco has contacted the IE Department directly in the last few months offering help to establish the program. It is anticipated that Saudi Aramco needs at least 5000 quality professionals at different levels in the next five years (Alyawm Newspaper, Saudi Aramco Chief Engineer, November 20, 2011)

The academic aim of this program is to provide the graduates with a complete expertise in the engineering of quality systems. This is mainly due to the fact that this program is designed to be an integrated set of complementary, mandatory and non-overlapping courses that address all the aspects of quality engineering.

The main objective of this program is to prepare the students with the skills, knowledge, expertise in cutting-edge technologies and best practices necessary for designing, modeling, analyzing, implementing and managing quality systems. Students will engage in applied applications and academic courses of study examining existing technologies and ways in which these influence the quality of systems, services, products and processes.

Employment prospects after graduation are very likely in today’s knowledge based society in which quality has major and defining role. Students are expected to be employed by a variety of sectors including government agencies, manufacturing companies, oil and gas companies, airlines companies, service industry and much more.

The IE department is planning to add a distance learning web portal option to assist interested students living out of Riyadh.

To advance research and working knowledge of quality and productivity methods and prepare the workforce to contribute to the Kingdom, the GCC and the world market towards better and more effective inspection, quality and integrity programs. The proposed master program is designed to:

·         Understand local industry needs to improve quality and productivity and the critical factors leading to them.

·         Develop or design systems, tools and processes to meet the industry quality needs with maximum value.

·         Develop or adopt technologies to resolve and improve quality applications in the Kingdom.

·         Help the industry to Engineer Quality into Products, Services and Processes.

·         Help local business and institutions build effective Quality Engineering Systems based on Process and System's thinking.

·         Partner with local and international quality institutions to accelerate development and deployments of tools and methods geared toward efficient performance.

·         Address top challenging quality technology issues facing operating facilities.

·         Provide Quality Engineering advanced knowledge and skills to graduating engineers and professionals and to the fresh workforce with the skills needed to succeed in serving the kingdom's economy.

·         Provide Academia with the opportunity to contribute and expand on industrial knowledge and solutions and benefit from the academic knows how to solve industry problems and bridge the gap between academia and the industry.

·         Provide the proper environment for the engineers and professionals and the general workforce to continually improve, excel and innovate, as well as to have the research environment for them to address future challenges, etc.

 

 

 

The learning outcomes for Master of Quality Engineering program are:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

IE-581 Engineering Statistics

 

The role of statistics in engineering; probability concepts; discrete random variables and probability distributions; continuous random variables and probability distributions; descriptive statistics (tables and graphs; measures of central tendency, and measures of variation); estimation of parameters (point and interval estimates); confidence intervals, hypothesis testing, simple linear regression and correlation; multiple linear regression; analysis of variance (ANOVA); and process capability.

IE-582 Problem Solving for Quality Management

 

Introduction to problem solving; types of quality problem (conformance, efficiency, performance, design, and process); Problem solving fundamentals (cognitive, functions and problem driven approach); Quality Problem functional demand (identification, definitions, diagnostics, and alternative generations); description and assessment of problem solving techniques for each quality problem type; Quality problem solving process: Deming’s cycle; Quality tools (7 tools (histogram, scatter, Pareto, cause and effect, flow charting, check sheet, control chart) and management tools (why-why, force field analysis, brainstorming).

IE-583 Quality Management

 

Introduction to quality management; quality management philosophies, quality systems; quality improvement tools and methods; quality management standards, continuous improvement benchmarking, quality awards and challenges in implementing a quality management system and review of ISO, TQM and Six Sigma methodologies in quality management.

IE-584 Measuring Customer Satisfaction

 

Systematic methods of identifying, measuring, managing, and monitoring customer requirements and satisfactions; Customer satisfaction methods and tools (Direct Methods; Indirect Method), Customer satisfaction and process improvement (Identify Markets, Identify Critical Customers, Determine Customer Requirements, Determine Internal Quality Characteristics, Select and Prioritize Opportunities, Improve Products and Services, Implement Process Controls, and Conduct Sales and After-Sales Service).

IE-585 Sampling Methods and Data Mining

 

Introduction to sampling, sample size, sampling methods, sampling errors and biases, introduction to data mining, data preparation, data mining tasks and methods, data mining applications, model building and data mining techniques such as clustering, decision trees and neural networks and selected techniques will be applied to case studies using a suitable data mining software

IE-586 Statistical Quality Control

 

Introduction to quality control; the basic concepts of quality; Statistical aspects of quality control; Acceptance sampling plans; Control chart methods for attributes and variables; Adaptive quality control; Processes capability; Methods of quality improvement; and Quality costs.

IE-587 Design and Analysis of Experiments

 

Review of Statistical Concepts and hypotheses testing, design of Experiments (DOE) concepts; Experiments for one and multi-way classification; AVOVA; Linear regression; Factorial design; Fractional factorial design; Response surface methodology, Taguchi methods and case studies using specialized statistical analysis software in DOE including SPSS and Minitab.

IE-588 Project Management

 

Project management foundation; project initiation; project scope definition; work breakdown structure, time management and scheduling; resource planning; cost management and control; communications management; project risk management; procurement and sourcing; project management methodologies; controlling and managing change; quality project management; project closure. Introduction to project management certification PMP (Project Management Professional)

IE-580 Non Destructive Testing (NDT)

 

Develop the knowledge and skills required to perform sophisticated non-destructive testing methods. Types of defect /flaw and degradation mechanisms that can be detected using NDT in industrial applications. NDT methods such as eddy current, X-ray, liquid dye penetrant, magnetic particle, ultrasonic testing, acoustic emission, thermography which are currently required in various different industrial fields. NDT methods advantages and limitations. NDT applications for reliability, maintainability and quality control. NDT management.

IE-590 Reliability Engineering

 

Reliability measures; life distributions and their applications in reliability; system reliability models; design by reliability and probabilistic design; reliability analysis through FMECA and FTA; reliability estimation and measurement by testing for binomial, exponential, and Weibull distributions.

IE-591 Quality Measurements

 

Introduction to quality measurements;; measuring and inspection techniques; contact and non-contact techniques; conventional metrology techniques; optical measuring techniques surface and geometrical measurements; coordinate measuring machines; machine vision; automated inspection; quantitative analysis of inspection; Cost of quality measurement; Quality measuring metrics; The balanced scorecard approach.

IE-592 Technical Project

 

Each student selects a project in which he applies knowledge, tools and skills acquired during his study in the program and experience in the practical field.