Brief description of Industrial Engineering Courses

• IE 312 ( Introduction to Planning and Control )

Introduction to industrial engineering topics including project control, strategic IE decisions ( product, location, and layout ), and tactical IE decisions ( production, inventory, scheduling, and quality ).

 

• IE 313 ( Manufacturing Economics )
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Basic accounting concepts; Cash flow and financial statements analysis; Standard costs and variance analysis; Cost analysis and operation decisions; introduction to cost reduction programs.

 

• IE 321 ( Industrial Operations Analysis -1 )
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Introduction to mathematical programming and optimization. Characteristics of linear programs. Modeling of various industrial programs as linear programs. Graphical solutions. Introduction to the theory of simplex methods. Big methods, unbounded and infeasible solutions. Sensitivity analysis and introduction to the duality theory. Transportation and assignment problems and solution techniques. Shortest path, minimum spanning tree, and maximum flow minimum cut problems.

 

• IE 331 ( Statistical Quality Control )
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The study of frequency distributions and probability models in quality control. Preparation and use various control charts. Construction of different sampling plans. Methods to quality improvement and analysis of quality costs. Application of computer in the above area.

 

• IE 351 ( Manufacturing Processes -1 )
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Morphology of manufacturing processes; Manufacturing processes for liquid metals: iron and steel making, melting furnaces, casting processes; Manufacturing processes for solid materials: basic concepts, sheet metal working, bulk deformation processes. Joining processes: welding, brazing and soldering; Adhesive bonding.

 

• IE 352 ( Manufacturing Processes -2 )
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Objectives of metal cutting processes; Cutting mechanisms; Material removal operations; Tool materials and geometry; Effects of cutting variables on machining operations and machine tool elements; Non traditional machining capabilities and limitations; Process design selection. Prerequisite: IE 351.

 

• IE 410 ( Inventory Control and Production Planning )
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Analysis and design of production and inventory control systems. Deterministic and stochastic inventory model, single and multi-period production planning models. Prerequisites: IE 312, STAT 324.

 

• IE 413 ( Industrial Information Systems )
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Analysis, design and implementation of industrial information and retrieval systems with special emphasis given to manufacturing systems; Gathering, recording, analyzing and presenting the data requirements of an organization; Data processing technology; Data bases and their applications. Prerequisites: IE 312, CS 207, GE 204.

 

• IE 427 ( Industrial Operations Analysis -2 )
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Advanced topics in linear programming, parametric and goal programming. Deterministic dynamic programming; forward and backward procedures. Integer programming; Branch and Bound methods. Nonlinear programming; Single and multi variable unconstrained optimization, KKT conditions and quadratic programming. Prerequisite: IE 321.

 

• IE 428 ( Scheduling of Industrial Operations )
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This course deals with various problems in the area of scheduling. It includes single machine, parallel machine, flow shop, open shop, and job shop and project scheduling. Also, it introduces project scheduling which includes Activity-On-Node and precedence diagramming, resource leveling and allocation, time cost trade-off, contractual and organizational approach, and regulation and licensing for the construction industry in Saudi Arabia. Prerequisite: IE 427.

 

• IE 430 ( Industrial Operations Analysis -3 )
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Introduction to stochastic processes, discrete and continuous time Markov chains, queueing theory and applications of waiting line systems. Stochastic dynamic programming, decision analysis. Prerequisites: STAT 324, IE 427.

 

• IE 431 ( Design of Experiments )
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Introduction to design of experiments and its applications in industry. Hypothesis testings on means and variances. Analysis of variance; fixed and random effects models, error analysis. Block designs; Randomized complete and incomplete block design, latin square design. Introduction to two factor factorial design; Fixed, random and mixed designs. Introduction to response surface methodology. Prerequisite: STAT 324.

 

• IE 432 ( Industrial Systems Simulation )
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Introduction to simulation concepts, random number generation, simulation model building, simulation languages, model and output validation. Prerequisites: Stat 324, GE 209, IE 312.

 

• IE 433 ( CAD / CAM )
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Introduction to CAD/CAD; Computer technology and CAD; CAD software and hardware; Geometric modeling and its approaches; Geometric transformations; Viewing in 3D; Numerical control; Types of numerical control; Numerical control programming. Prerequiste: IE 352.

 

• IE 434 ( Engineering Reliability and Maintenance )
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Failure distributions, constant failure rate models, reliability of systems, state-dependent systems, design for reliability and failure analysis, maintainability, decision models in maintenance management. Prerequisite: STAT 324.

 

• IE 437 ( Automatic Control Systems )

Process control fundamentals; System modelling; Laplace transformation; Transfer functions and block diagrams; Time response of feedback control systems; Digital control; Automation and logic control; Computer interfaces. Prerequisites: GE 207, EE 308, MATH 204.

 

• IE 441 ( Work Design and Analysis )
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Introduction to work analysis and design. Methods engineering, study of the basic work measurement techniques; applications and limitations of the stop-watch time study, pre-determined motion time systems. Co – requisite : IE 352.

 

• IE 442 ( Human Factors Engineering )
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Introduction to the study of relationship between human and his working environment; The anatomical, physiological and psychophysical factors underlying the design of specific human-machine systems in specific environments; Techniques of work optimization in perception: reaction: energy expenditure and bodily functions.

 

• IE 448 ( Safety Engineering Management )
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Introduction to safety regulations and standards; Study of engineering principles applied to industrial accident prevention; Safety plant applications; Safety training methods; Management and its responsibilities for safety; Statistical methods; Applications of networking, fault tree, and hazard analysis techniques; Hazard risk assessment;

Emergency planning. Corequisite: IE 442.

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• IE 450 ( Industrial Facility Design )
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Facility design stages of industrial factory product, process and material handling analysis; Area allocation and space analysis; Flow analysis; Plant layout and plan; Computerized facility layout and allocations. Prerequisite: IE 441.

 

• IE 458 ( Computer Aided Manufacturing )
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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; Integrated CAM. Prerequisite: IE 433.

 

• IE 460 ( Computer Integrated Manufacturing )
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Introduction to CIM, CIM strategy and components; CIM modeling methods and techniques; CIM programming; data exchange; Communication nets and protocols; selection of CIM systems; Implementation of CIM. Prerequisite: IE 458.

 

• IE 471 ( Design of Manufacturing Systems )
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Manufacturing automation fundamentals and strategies; High volume manufacturing systems; Automated handling and storage systems; Automated inspection systems; Flexible manufacturing systems; Modeling of manufacturing systems. Prerequisite: IE 450.

 

• IE 472 ( Operations of Manufacturing Systems )
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Study of recent developments in manufacturing, Japanese manufacturing techniques, hybrid manufacturing management system, supply chain management, total quality management, design for manufacturing and assembly. Prerequisites: IE 428, IE 410.

 

• IE 498 ( Graduation Project -1 )
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Choosing the topic, establishing the project, literature review, preparing for/or preliminary conducting of the experiments, collecting the field data and developing the mathematical model if applicable, writing the first two chapters along with any preliminary findings.

 

• IE 499 ( Graduation Project -2 )
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Continuation of part I of the project including running and finalizing the experimental program or the mathematical/computer model, analyzing the results and findings and drawing the conclusions, writing the complete project report, presenting and defending the project. Prerequisite: IE 498.

 

• IE 496 ( Graduation Project for Coop Students )
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In cooperation of the academic advisor with the cooperative organization, the problem to be tackled is selected in accordance with the academic knowledge gained and the nature of available training. Establishing the project, literature review, preparing and conducting the experiments, collecting the field data and developing and running the matical/computer model if applicable, analyzing the results and findings and drawing the conclusion, writing the complete project report, presenting and defending the project . Prerequisite: Ninth Level.

 

• IE 497 ( Cooperative Education )
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The student is supposed to spend 28 weeks in a company or in an organization, in order to gain practical experience in his specialization, to reach a high level of professional entity needed for engineers, as well as to learn the proper interaction with others in order to obtain the important formation and to recognize the real problems and act to solve them. Prerequisite: Ninth Level.