1.4 Process Types (Discrete, Continuous, Manufacturing, Service) & Value Analysis/Engineering

PE Industrial and Systems Exam

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1 Exam Overview, Strategy & Systems Foundations

1.1 PE Industrial Exam Format, Official Specification & Reference Handbook Strategy 1.2 System Analysis Tools, Process Definition, Requirements Engineering & QFD 1.3 Performance Measures: Output, Productivity, OEE, Cost & Environmental Sustainability 1.4 Process Types (Discrete, Continuous, Manufacturing, Service) & Value Analysis/Engineering

2 Optimization, Queueing, Simulation, Networks & Markov Chains

2.1 Linear Programming Formulation, Graphical Solutions & Sensitivity Analysis 2.2 Queueing Theory Models (M/M/1, M/M/s) & Little's Law Applications 2.3 Discrete-Event Simulation, Random Variates & Model Validation 2.4 Graph Theory & Network Models: Shortest Path, Minimal Spanning Tree & Maximum Flow 2.5 Markov Chains: Transition Matrices, Steady-State Probabilities & Absorbing States 2.6 Decision Trees, Expected Value & Bottleneck Analysis (Theory of Constraints)

3 Project Management & Planning

3.1 Project Scheduling with CPM and PERT: Critical Path, Float, Probability & Crashing 3.2 Project Planning & Control: Scope and WBS, Gantt Charts, Critical Chain (CCPM), Risk & Earned Value

4 Facility Layout, Space, Capacity & Material Handling

4.1 Systematic Layout Planning (SLP) & Activity Relationship (REL) Analysis 4.2 Workstation Design, Aisle Sizing & Space Requirements Planning 4.3 Capacity Analysis: Machine Requirements, Scrap Allowances & Personnel Requirements 4.4 Material Handling Equipment Selection, Unit Loads & Handling Principles

5 Site Location, Warehousing & Facility Economics

5.1 Facility Location Models: Center of Gravity & Minisum / Minimax Distance 5.2 Warehousing Systems, Storage Assignment & Order Picking Operations 5.3 Facility Life-Cycle Economics, Replacement Analysis & Rearrangement Costs

6 Demand Forecasting, Production Planning, MRP & JIT

6.1 Demand Forecasting Methods: Moving Averages, Exponential Smoothing & Error Metrics 6.2 Aggregate Planning Strategies & Master Production Scheduling (MPS) 6.3 Material Requirements Planning (MRP), Bill of Materials & Capacity Planning 6.4 Just-in-Time & Lean Production Planning: Pull Systems, Kanban Sizing, Heijunka & SMED

7 Inventory Systems, Scheduling, Logistics & Transportation Modes

7.1 Deterministic Inventory Control: Classical EOQ, EPQ & Quantity Discounts 7.2 Stochastic Inventory Management: Safety Stock, Continuous / Periodic Review & Newsvendor 7.3 Production Sequencing, Dispatching Rules & Johnson's Algorithm 7.4 Supply Chain Logistics, Transportation Simplex & Distribution Network Design 7.5 Transportation Modes, Freight Economics & the Transshipment Model

8 Engineering Economics, Break-Even Analysis & Costing Systems

8.1 Equivalence, Cash Flow Analysis & Discounted Cash Flow Metrics (PW, FW, EAC) 8.2 Rate of Return Analysis (IRR, Incremental IRR) & Benefit-Cost (B/C) Ratios 8.3 Asset Depreciation (MACRS, Straight-Line), Tax Effects & Replacement Decisions 8.4 Break-Even Analysis, Technical Capability Assessment & Costing Systems (Traditional, ABC & Standard Costs)

9 Methods Engineering, Work Measurement, Learning Curves, Line Balancing & Process Planning

9.1 Methods Analysis, Process Charting & Motion Study (Therbligs, 5S) 9.2 Worker–Machine (Man–Machine) Charts, Multiple Activity Analysis & Synchronous Servicing 9.3 Time Study Fundamentals, Performance Rating & Allowance Factors 9.4 Predetermined Motion Time Systems (PMTS, MTM, MOST) & Work Sampling 9.5 Learning Curves: Unit and Cumulative-Average Models, Learning Rates & Applications 9.6 Assembly Line Balancing, Precedence Constraints & Efficiency Heuristics 9.7 Manufacturing & Service Process Planning: Operation Selection, Sequencing, Route Sheets, Fixturing & Mistake Proofing

10 Ergonomics, Human Capacity, Occupational Safety & DART Rates

10.1 Anthropometry, Percentile Design, Workstation Ergonomics & Link Analysis 10.2 Industrial Biomechanics, the NIOSH Lifting Equation & Lifting Aids 10.3 Limits of Human Capacity & Risk-Factor Tools: Work Physiology, Strength, Range of Motion, Vision, RULA & Slip Resistance 10.4 Environmental Ergonomics (Noise, Heat, Illumination), Human-Machine Systems & OSHA Safety 10.5 Safety Codes, Standards & Voluntary Guidelines (OSHA, ANSI, NIOSH, MIL-STD) and DART Rate Calculations

11 Statistical Process Control & Process Capability

11.1 Statistical Process Control for Variables (X-bar/R and X-bar/s Charts) 11.2 Statistical Process Control for Attributes (p, np, c, and u Charts) 11.3 Process Capability Indices (Cp, Cpk, Cpm, Pp, Ppk) & Sigma Levels

12 Design of Experiments, Acceptance Sampling & Quality Systems

12.1 Design of Experiments: 2^k Factorials, ANOVA & Taguchi Robust Design 12.2 Acceptance Sampling: OC Curves, AQL, LTPD, AOQL, Z1.4/MIL-STD-105E & Dodge-Romig 12.3 Quality Systems (Deming, TQM, ISO 9000, Benchmarking), Root Cause Analysis & DMAIC

13 Reliability Engineering & Maintenance Systems

13.1 Reliability Modeling, Failure Rates (lambda) & Life Distributions (Exponential, Weibull) 13.2 System Reliability Architecture: Series, Parallel, k-out-of-n & Redundancy 13.3 Equipment Maintenance Engineering, Availability (A), MTBF/MTTR & RCM

1.4 Process Types (Discrete, Continuous, Manufacturing, Service) & Value Analysis/Engineering

Key Takeaways Explain This Topic AI

Process types run from project and job shop (low volume, high variety) through batch and repetitive lines to continuous flow (high volume, low variety), following the product–process matrix.

Discrete processes make countable units, while continuous processes such as refining or paper making move material as a flow measured in rates.

The crossover volume between two processes with fixed costs F and variable costs v is (F2 − F1) ÷ (v1 − v2).

Value is function divided by cost; value engineering defines each function as an active verb plus a measurable noun and targets functions whose cost greatly exceeds their worth.

The SAVE International job plan runs information, function analysis, creative, evaluation, development, and presentation phases, framed by preparation and implementation.

Last updated: October 2026

1.4 Process Types & Value Analysis/Engineering

The NCEES specification lists process types (discrete versus continuous, manufacturing, service) and value analysis and engineering as separate Systems Engineering topics. Both are about matching a design to its purpose. The first matches the production system to the product's volume and variety; the second matches a product's cost to the functions the customer actually pays for.

1. Discrete vs. Continuous Processes

• Feature Discrete process Continuous process
• Output Countable units (engines, phones, invoices) Flow of material (gasoline, paper, chemicals, power)
• Measure of rate Units per hour Tons, barrels, or liters per hour

Typical models Queueing, discrete-event simulation, line balancing Flow balances, process control, linear programming

• Changeover Setup between batches or models Grade change or campaign; often costly start-up and shutdown
• Typical control SPC on individual units, routings, work orders Instrumented loops, sampling of the stream

Many plants are hybrids : a brewery brews continuously or in large batches but fills discrete bottles. Batch chemical processes sit between the two, making a fixed quantity per run.

2. Manufacturing Process Types and the Product–Process Matrix

Hayes and Wheelwright's product–process matrix pairs product structure (low volume and high variety through high volume and standard) with process structure:

• Process type Volume / variety Layout Equipment and labor Examples
• Project One of a kind Fixed position General tools; highly skilled crews Ships, buildings, large turbines

Job shop Low volume, high variety Process (functional) General-purpose machines; skilled operators Tool and die shop, prototype machining

Batch Moderate volume and variety Process or cellular Semi-specialized; setups between lots Furniture, bakery goods, castings

Repetitive / assembly line High volume, few models Product (line) Specialized; paced work Appliances, automobiles

Continuous flow Very high volume, commodity Product (flow) Dedicated, capital intensive Refining, paper, steel rolling

Moving down the matrix lowers unit cost and raises fixed cost, while flexibility falls. Firms that sit far off the diagonal (for example, a dedicated line making custom one-off products) usually have a cost or flexibility problem.

Order-Fulfillment Strategies

Make-to-stock (MTS): finished goods are forecast and stocked; service depends on inventory.

Assemble-to-order (ATO): components are stocked and final assembly waits for an order.

Make-to-order (MTO): production starts when the order arrives.

Engineer-to-order (ETO): design starts when the order arrives.

The customer order decoupling point is where forecast-driven work ends and order-driven work begins. Moving it upstream cuts inventory but lengthens lead time.

Crossover Analysis Between Process Types

If process 1 has fixed cost F 1 F_1 F 1 ​ and variable cost v 1 v_1 v 1 ​ , and process 2 has F 2 > F 1 F_2 > F_1 F 2 ​ > F 1 ​ and v 2 < v 1 v_2 < v_1 v 2 ​ < v 1 ​ , the two cost the same at:

Q ∗ = F 2 − F 1 v 1 − v 2 Q^* = \frac{F_2 - F_1}{v_1 - v_2} Q ∗ = v 1 ​ − v 2 ​ F 2 ​ − F 1 ​ ​

Example: A job shop setup costs $50,000 per year with a variable cost of $40 per unit. A dedicated assembly line costs $400,000 per year with a variable cost of $12 per unit. The crossover is Q ∗ = 350,000 / 28 = 12,500 Q^* = 350{,}000 / 28 = 12{,}500 Q ∗ = 350 , 000/28 = 12 , 500 units per year. Below that volume the job shop is cheaper; above it the line is cheaper.

3. Service Process Types

Services differ from manufacturing because the customer is often present, output cannot be stored, and demand varies by the hour. Schmenner's service process matrix classifies services by labor intensity and by the degree of customer interaction and customization:

• Low interaction and customization High interaction and customization
• Low labor intensity Service factory: airlines, trucking, hotels Service shop: hospitals, auto repair

High labor intensity Mass service: retail, schools, retail banking Professional service: doctors, lawyers, engineers

Chase's customer contact model separates high-contact "front office" work, which must be designed around the customer's presence and timing, from low-contact "back office" work, which can be run like a factory with batching and standard times. For modeling, services lean heavily on queueing and staffing models, because capacity that goes unused in an hour cannot be stored for the next.

4. Value Analysis and Value Engineering

Value analysis began with Lawrence Miles at General Electric in the 1940s, when material shortages forced engineers to ask what each part actually had to do. Value engineering (VE) applies the same method during design, and value analysis (VA) applies it to existing products. Both aim to provide the required functions at the lowest life cycle cost without reducing performance, reliability, quality, or safety. U.S. federal agencies are required to use VE on suitable projects (41 U.S.C. 1711 and OMB Circular A-131).

Value = Function Cost Value index = Worth Cost \text{Value} = \frac{\text{Function}}{\text{Cost}} \qquad \text{Value index} = \frac{\text{Worth}}{\text{Cost}} Value = Cost Function ​ Value index = Cost Worth ​

Function Analysis

Define every function with an active verb plus a measurable noun : "support load," "transmit torque," "contain fluid." Avoid vague verbs such as "provide."

Separate basic functions , the reason the item exists, from secondary functions that support the basic function or result from the chosen design.

Assign a worth to each function: the lowest cost of any way to perform it.

Functions with a value index far below 1.0 (cost much higher than worth) are the targets.

FAST (Function Analysis System Technique) diagrams arrange functions left to right. Reading to the right answers "How is this function performed?"; reading to the left answers "Why is it performed?" Scope lines mark the boundaries of the study, and the main left-to-right path is the critical path of functions.

The SAVE International Job Plan

SAVE International's Value Methodology Standard defines a structured job plan:

Preparation: pick the scope, team, and data.

Information: understand the project, its costs, and its constraints.

Function analysis: define functions, build the FAST diagram, and compute cost-to-worth ratios.

Creative: brainstorm alternative ways to perform the functions, without judging them yet.

Evaluation: screen and rank ideas against criteria.

Development: turn the best ideas into proposals with costs and risks.

Presentation: present recommendations to decision makers.

Implementation: carry out and track the approved changes.

The six phases from Information through Presentation form the VE workshop itself.

Worked Example: Function Cost Analysis

A sheet-metal bracket assembly costs $12.00. The team allocates cost to functions and estimates worth:

• Function (verb + noun) Type Cost Worth Value index
• Support load Basic $8.50 $3.00 0.35
• Locate panel Secondary $2.00 $1.50 0.75
• Resist corrosion Secondary $1.50 $1.20 0.80

"Support load" has the lowest value index, so the creative phase focuses there. One idea is a single stamped part with a formed rib in place of three welded pieces. Note that VE does not simply cut cost: a cheaper bracket that fails the load requirement removes a basic function and is not a value improvement.