The following is a breakdown of the 8 topics covered in the Industrial PM portion of the Engineer in Training Exam.
The percentage next to the subject is approximately how much of the total content of the PM session that particular subject makes up. This breakdown is as outlined by NCEES on their website.
I. Engineering Economics (15%)
A. Discounted cash flows (equivalence, PW, EAC, FW, IRR, loan amortization)
B. Types and breakdown of costs (e.g., fixed, variable, direct and indirect labor, material, capitalized)
C. Analyses (e.g., benefit-cost, breakeven, minimum cost, overhead, risk, incremental, life cycle)
D. Accounting (financial statements and overhead cost allocation)
E. Cost estimating
F. Depreciation and taxes
G. Capital budgeting
II. Probability and Statistics (15%)
A. Combinatorics (e.g., combinations, permutations)
B. Probability distributions (e.g., normal, binomial, empirical)
C. Conditional probabilities
D. Sampling distributions, sample sizes, and statistics (e.g., central tendency, dispersion)
E. Estimation (point estimates, confidence intervals)
F. Hypothesis testing
G. Regression (linear, multiple)
H. System reliability (single components, parallel and series systems)
I. Design of experiments (e.g., ANOVA, factorial designs)
III. Modeling and Computation (12%)
A. Algorithm and logic development (e.g., flow charts, pseudo-code)
B. Spreadsheets
C. Databases (e.g., types, information content, relational)
D. Decision theory (e.g., uncertainty, risk, utility, decision trees)
E. Optimization modeling (decision variables, objective functions, and constraints)
F. Linear programming (e.g., formulation, primal, dual, graphical solution)
G. Math programming (network, integer, dynamic, transportation, assignment)
H. Stochastic models (e.g., queuing, Markov, reliability)
I. Simulation (e.g., event, process, Monte Carlo sampling, random number generation, steady-state vs. transient)
IV. Industrial Management (10%)
A. Principles (e.g., planning, organizing) and tools of management (e.g., MBO, re-engineering)
B. Organizational structure (e.g., functional, matrix, line/staff)
C. Motivation theories (e.g., Maslow, Theory X, Theory Y)
D. Job evaluation and compensation
E. Project management (scheduling, PERT, CPM)
V. Manufacturing and Production Systems (13%)
A. Manufacturing systems (e.g., cellular, group technology, flexible, lean)
B. Process design (e.g., number of machines/people, equipment selection, and line balancing)
C. Inventory analysis (e.g., EOQ, safety stock)
D. Forecasting
E. Scheduling (e.g., sequencing, cycle time, material control)
F. Aggregate planning (e.g., JIT, MRP, MRPII, ERP)
G. Concurrent engineering and design for manufacturing
H. Automation concepts (e.g., robotics, CIM)
I. Economics (e.g., profits and costs under various demand rates, machine selection)
VI. Facilities and Logistics (12%)
A. Flow measurements and analysis (e.g., from/to charts, flow planning)
B. Layouts (e.g., types, distance metrics, planning, evaluation)
C. Location analysis (e.g., single facility location, multiple facility location, storage location within a facility)
D. Process capacity analysis (e.g., number of machines/people, trade-offs)
E. Material handling capacity analysis (storage & transport)
F. Supply chain design (e.g., warehousing, transportation, inventories)
VII. Human Factors, Productivity, Ergonomics, and Work Design (12%)
A. Methods analysis (e.g., improvement, charting) and task analysis (e.g., MTM, MOST)
B. Time study (e.g., time standards, allowances)
C. Workstation design
D. Work sampling
E. Learning curves
F. Productivity measures
G. Risk factor identification, safety, toxicology, material safety data sheets (MSDS)
H. Environmental stress assessment (e.g., noise, vibrations, heat, computer-related)
I. Design of tasks, tools, displays, controls, user interfaces, etc.
J. Anthropometry, biomechanics, and lifting
VIII. Quality (11%)
A. Total quality management theory (e.g., Deming, Juran) and application
B. Management and planning tools (e.g., fishbone, Pareto, quality function deployment, scatter diagrams)
C. Control charts
D. Process capability and specifications
E. Sampling plans
F. Design of experiments for quality improvement
G. Auditing, ISO certification, and the Baldridge award
Source NCEES
