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| PE EXAM REVIEW FOR INDUSTRIAL ENGINEERS | 4 day(s) | 2.80 CEUs
REGISTRATION FEE: Member: $1,595 | Non-member: $1,945 | |
Prepare for your Principles and Practice of Engineering (PE) exam by refreshing your knowledge of industrial engineering topics, terminology and formulas. Through practice problems and a comprehensive review of exam-specific material, you will be able to identify the areas you need to focus on during your exam preparation. All elements of the PE exam will be covered in this class.
Class Schedule:| Course ID | Course Dates | Location | Register | | 1835 | Feb 10 - 13, 2014 | Norcross, GA | Register |
Overview:
Improve your odds of passing the most important test of your career with this popular review course. Licensure for professional engineers opens the door to a world of opportunity and career development. But first you must pass two exams: the Fundamentals of Engineering exam and the PE exam. The course instructors will cover all major elements of the PE exam, refreshing your knowledge of IE topics, terminology and formulas; working through practice problems; and identifying areas you need to focus on during your exam prep. The course reviews the key concepts from the industrial engineering body of knowledge as well as presenting sample exam questions. Since the exam changes from year to year there is no guarantee that all possible example questions will be covered. Individuals preparing for the exam may wish to purchase the Review for the PE Exam and/or the sample examination. They are available at http://www.iienet2.org/Bookstore.aspx. Participants in the review course will receive a specially developed set of review notes available only to registrants for the class.
Topic Highlights:- Engineering economics
- Engineering registration and the PE exam
- Facilities
- Human factors and safety
- Inventory planning and control
- Management systems
| - Manufacturing systems
- Probability and statistics
- Production planning and control
- Quality assurance
- Work measurement
- Work methods
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What You Will Learn:- Identify individual strengths and weaknesses in the IE body of knowledge
- Prepare to sit for the NCEES* principles and practices exam
- Comprehend the requirements for the NCEES IE principles exam
- Demonstrate professional industrial engineering methods
*National Council of Examiners for Engineering and Surveying
Course
I. Systems Definition, Analysis, and Design
Approximate percentage of examination - 20 percent
- System analysis and design tools (e.g., flowcharts, Pareto charts, affinity diagrams, nominal group technique, input/output analysis)
- Requirements analysis (e.g., value stream mapping)
- Performance measures and applications (e.g., leading, lagging, structure)
- Modeling techniques (e.g., simulations, queuing, linear programming, Markov chains)
- Process types (e.g., discrete versus continuous, manufacturing, service)
- Model interpretation (e.g., sensitivity analysis)
- Model verification
- Model validation
- Bottleneck analysis (e.g., theory of constraints)
- Value analysis and engineering (e.g., risk analysis)
- Project management and planning (e.g., PERT/CPM; balancing risk, cost, scope, and time; Gantt charts)
II. Facilities Engineering and Planning
Approximate percentage of examination - 20 percent
- Process flow
- Network optimization
- Layout design techniques (e.g., systematic layout planning [SLP], affinity diagram, relationship diagrams, center of gravity rule)
- Space analysis (e.g., equipment needs, demand, location, footprint of the equipment/WIP sizing)
- Capacity analysis (e.g., calculation of personnel requirements, calculation of machine requirements)
- Cost-benefit analysis
- Site selection factors
- Site selection methods (e.g., prioritization, factor weighting)
- Unit load analysis
- Life cycle cost analysis (e.g., acquisition, implementation, sustainment, retirement)
- Material handling techniques and equipment (e.g., conveyors, industrial trucks, manual, overhead crane)
III. Supply Chain and Logistics
Approximate percentage of examination - 20 percent
- Forecasting methods (e.g., exponential smoothing, moving averages, seasonal)
- Production planning methods (e.g., aggregate, MRP, MRPII, ERP, JIT, Kanban, lean manufacturing)
- Engineering economics (e.g., break-even analysis, technical capability assessment, ROI)
- Costing systems (e.g., activity-based costing including cost drivers, guidelines for overhead)
- Production scheduling methods (e.g., shortest processing time first, due date order)
- Inventory management and control
- Distribution methods (e.g., transshipment, routing)
- Storage and warehousing methods
- Transportation modes (e.g., truckload [TL], less than truckload [LTL], air, rail, ship, special requirements)
IV. Work Design
Approximate percentage of examination - 20 percent
- Motion economy rules (e.g., therbligs)
- Line balancing
- Work measurement systems techniques (e.g., stopwatch, predetermined time systems, proprietary process determined time system)
- Time-study techniques (e.g., motion study, man-machine charts, predetermined time systems)
- Time-standard tools (e.g., learning curve, training program)
- Sample size calculations
- Observation frequency methods
- Work sampling analysis
- Safety codes, standards, and voluntary guidelines (e.g., ANSI, OSHA, MIL STD, NIOSH)
- Methods for quantifying risk factors (e.g., NIOSH lifting equation, OSHA limits for noise)
- Coefficient of friction (slip resistance)
- Rapid upper limb assessment (RULA)
- Limits of human capacity
- Lifting aids (e.g., gait belts, cranes)
- Link analysis and associated criteria (e.g., importance, frequency of use)
- P. Workplace design/human–computer interaction (e.g., use of anthropometric data)
- Days Away, Restricted, and Transferred (DART) rate calculations (e.g., injury/illness incident rate and/or the management of the information required to calculate this rate)
V. Quality Engineering
Approximate percentage of examination - 20 percent
- Statistical process control (e.g., control chart construction and interpretation)
- Process capability analysis (e.g., Cpk, Cp)
- Acceptance sampling (e.g., single sampling, double sampling, MIL STD 105E, Dodge Romig, OC-curves)
- Continuous improvement methods (e.g., Deming, Kaizen, TQM, Six Sigma)
- Techniques for process improvement (e.g., design of experiments [DOE], Taguchi, FMEA)
- Reliability analysis
- Maintenance procedures (e.g., reactive, preventive, predictive)
- Quality management system (e.g., ISO9000, benchmarking)
- Root cause analysis
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