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E-grāmata: Sensors and Control Systems in Manufacturing, Second Edition

  • Formāts: 450 pages
  • Izdošanas datums: 06-Jul-2009
  • Izdevniecība: McGraw-Hill Professional
  • Valoda: eng
  • ISBN-13: 9780071605731
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  • Formāts: 450 pages
  • Izdošanas datums: 06-Jul-2009
  • Izdevniecība: McGraw-Hill Professional
  • Valoda: eng
  • ISBN-13: 9780071605731
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.A Comprehensive Guide to Sensors and Control Systems in ManufacturingThoroughly updated with cutting-edge technologies, this detailed resource offers proven methods for effectively evaluating, selecting, and implementing sensors and controls to ensure error-free manufacturing environments. Sensors and Control Systems in Manufacturing, Second Edition offers step-by-step guidance on applying sensors to measure product parameters, control manufacturing, develop precision manufacturing systems, and generate and control motion. Real-world examples are included throughout to demonstrate successful industrial applications.

Coverage includes:





The latest sensor technologies, such as MEMS, photo-, bio-, nano-, and LED sensors Sensor classification and types, including photoelectric, inductive and capacitive proximity, confocal microscropy, and laser sensors Fiber optics in sensors and control systems Networking of sensors and control systems in manufacturing Sensors and control technology in computer-integrated manufacturing Advanced sensor technology in precision manufacturing applications Industrial sensors and control Sensors in flexible manufacturing systems Communications--indexing, transmission, and signal processing SpectRx(tm) sensing technology Manufacturing operation and control through financial planning
Foreword xxv
Preface xxvii
Acknowledgments xxxi
The Role of Sensors in the 21st Century
1(42)
Introduction
1(4)
MEMS Microscopy System
5(1)
Establishing an Automation Program
5(2)
Photo Sensing Fluorescence in Genome Sequencing
7(1)
A New Sensing Tool for Decoding the Genome
8(1)
Mapping RNA Protein Folding Energy Through Bio-Sensors
8(1)
Nano-Sensor Manufacturing Challenges
9(1)
Nano-Crystals Enable Scalable Memory Technologies
9(1)
Chromaticity---Color Rendering Index (CRI)
10(5)
The LED Color Chart
15(1)
The Color Rendering Index (CRI)
15(4)
The Foot-Candle
15(1)
Full Spectrum
15(1)
Intensity
15(4)
Kelvin Color Temperature
19(1)
LEDs---Light-Emitting Diodes
19(4)
LED Bars
19(1)
LED Clusters or Arrays
19(1)
LED Drivers
19(1)
LED Lighting
20(1)
LED Strips
20(1)
Low Voltage
20(1)
Lumen Maintenance
20(1)
Lumens
20(1)
Lux
20(1)
LED mA
20(1)
Max Rated Temperature
21(1)
mcd
21(1)
Nanometers (nm)
22(1)
Operating Life
22(1)
Printed Circuit Boards
22(1)
Power Supply
22(1)
PWM
22(1)
RGB
22(1)
SMD/SMT
23(1)
SSL
23(1)
Task Lighting-Lamps
23(2)
UV-A
23(1)
UV-B
23(1)
UV-C
23(1)
View Angle Degree
24(1)
Voltage
24(1)
Voltage Regulator
24(1)
Volts
24(1)
Waterproof
24(1)
Watts
24(1)
Watts per LED
25(1)
Weatherproof
25(1)
White
25(1)
The Basics on LEDs
25(5)
Monochromatic LEDs
26(1)
LED White Light
27(1)
LED Intensity
28(1)
Visibility
28(1)
Operating Life
29(1)
Voltage/Design Currents
30(1)
Heat Dissipation
30(1)
EMI Countermeasures
30(1)
Non-Phosphor White LEDs at a Viewing Angle of 30°
30(2)
Non-Phosphor White LEDs
31(1)
Luminous Intensity (Candlepower)
32(7)
Luminous Flux
33(1)
Illumination
34(1)
Luminance (Brightness)
34(1)
Foot-Candle to Lux Conversion
35(1)
The Inverse Square Law
36(1)
The Cosine Law
36(1)
The Difference Between Lumen and Watt
37(1)
Calculating Beam Angles
37(1)
Calculating Lumens Output---Luminous Flux
38(1)
Calculating Center and Edge Points---Two Points
38(1)
Calculating Center, Middle, and Edge Points---Three Points
38(1)
Calculating Four Calculation Points
39(1)
Calculating Five Calculation Points
39(1)
Calculating Eight Points
39(1)
LED and Spectralon
39(4)
Spectralon® Material---Light Reflectance Calibration
39(1)
Spectralon® Features
40(1)
Further Reading
40(3)
Classification and Types of Sensors
43(90)
Introduction
43(5)
Classification of Control Processes
48(2)
Open- and Closed-Loop Control Systems
50(1)
Understanding Photoelectric Sensors
51(7)
Principles of Operation
51(1)
Manufacturing Applications of Photodetectors
52(6)
Detection Methods
58(3)
The Through-Beam Detection Method
58(1)
The Reflex Detection Method
58(1)
The Proximity Detection Method
59(2)
Proximity Sensors
61(3)
Typical Applications of Inductive Proximity Sensors
62(2)
Typical Applications of Capacitive Proximity Sensors
64(1)
Understanding Inductive Proximity Sensors
64(11)
Principles of Operation
64(3)
Inductive Proximity Sensing Range
67(1)
Sensing Distance
68(1)
Target Material and Size
69(2)
Target Shape
71(1)
Variation Between Devices
72(1)
Surrounding Conditions
73(2)
Understanding Capacitive Proximity Sensors
75(4)
Principles of Operation
75(2)
Features of Capacitive Sensors
77(1)
Sensing Range
77(1)
Target Material and Size
78(1)
Surrounding Conditions
79(1)
Understanding Limit Switches
79(1)
Inductive and Capacitive Sensors in Manufacturing
80(18)
Relays
81(1)
Triac Devices
82(2)
Transistor DC Switches
84(1)
Inductive and Capacitive Control/Output Circuits
85(2)
Accessories for Sensor Circuits
87(1)
Inductive and Capacitive Switching Logic
88(5)
Inductive and Capacitive Sensor Response Time---Speed of Operation
93(5)
Understanding Microwave Sensing Applications
98(12)
Characteristics of Microwave Sensors
98(1)
Principles of Operation
99(1)
Detecting Motion with Microwave Sensors
100(4)
Detecting Presence with Microwave Sensors
104(1)
Measuring Velocity with Microwave Sensors
105(1)
Detecting Direction of Motion with Microwave Sensors
105(1)
Detecting Range with Microwave Sensors
106(3)
Microwave Technology Advancement
109(1)
Confocal Microscopy Sensors
110(3)
Confocal Profiling Characterization Systems
110(1)
Driving Inspection Requirements
111(2)
Probe-Mark Inspection Requirements
113(1)
Multi-Chip Packages
113(1)
Understanding Laser Sensors
113(20)
Properties of Laser Light
114(1)
Essential Laser Components
114(5)
Semiconductor Displacement Laser Sensors
119(1)
Industrial Applications of Laser Sensors
119(13)
Further Reading
132(1)
Fiber Optics in Sensors and Control Systems
133(58)
Introduction
133(1)
Photoelectric Sensors---Long-Distance Detection
133(8)
Light-Emitting Diodes
134(2)
Through-Beam Sensors
136(1)
Reflex Photoelectric Controls
137(1)
Polarized Reflex Detection
138(1)
Proximity (Diffuse-Reflection) Detection
139(1)
Automated Guided Vehicle System
140(1)
Fiber Optics
141(4)
Individual Fiber Optics
143(1)
Bifurcated Fiber Optics
143(2)
Optical Fiber Parameters
145(3)
Excess Gain
145(2)
Background Suppression
147(1)
Contrast
148(1)
Polarization
148(1)
Inductive Proximity Sensors---Noncontact Metal Detection
148(2)
Limit Switches---Traditional Reliability
150(1)
Factors Affecting the Selection of Position Sensors
151(1)
Wavelengths of Commonly Used Light-Emitting Diodes
152(1)
Sensor Alignment Techniques
152(3)
Opposed Sensing Mode
152(1)
Retroreflective Sensing Mode
152(1)
Proximity (Diffuse) Sensing Mode
153(1)
Divergent Sensing Mode
153(1)
Convergent Sensing Mode
154(1)
Mechanical Convergence
154(1)
Fiber Optics in Industrial Communication and Control
155(1)
Principles of Fiber Optics in Communications
155(2)
Fiber-Optic Information Link
157(1)
Configurations of Fiber Optics
157(8)
Optical Power Budget
158(1)
Digital Links---Pulsed
159(1)
Digital Links---Carrier-Based
160(1)
Analog Links
161(1)
Video Links
161(1)
Data Bus Networks
162(3)
Configurations of Fiber Optics for Sensors
165(5)
Fiber-Optic Bundles
165(2)
Bundle Design Considerations
167(1)
Fiber Pairs for Remote Sensing
168(1)
Fiber-Optic Liquid Level Sensing
169(1)
Flexibility of Fiber Optics
170(2)
Fiber-Optic Terminations
170(2)
The Testing of Fiber Optics
172(1)
Testing Light Sources
172(3)
Power Meters
173(2)
Dual Laser Test Sets
175(4)
Test Sets/Talk Sets
176(1)
Attenuators
177(1)
Fault Finders
177(1)
Fiber Identifiers
178(1)
Networking with Electrooptic Links
179(5)
Hybrid Wire/Fiber Networks
180(1)
Daisy Chain Networks
181(1)
Active Star Networks
181(1)
Hybrid Fiber Networks
182(2)
Fiber-Optic Sensory Links for Minicell Controllers
184(1)
Versatility of Fiber Optics in Industrial Applications
184(7)
High-Clad Fiber-Optic Cables
185(4)
Fiber-Optic Ammeter
189(1)
Further Reading
189(2)
Networking of Sensors and Control Systems in Manufacturing
191(38)
Introduction
191(2)
The Number of Products in a Flexible System
193(1)
Sensors Tracking the Mean Time between Operator Interventions
194(1)
Sensors Tracking the Mean Time of Intervention
194(1)
Sensors Tracking Yield
194(1)
Sensors Tracking the Mean Processing Time
194(2)
Network of Sensors Detecting Machinery Faults
196(11)
Diagnostic Systems
196(1)
Resonance and Vibration Analysis
197(1)
Sensing Motor Current for Signature Analysis
197(1)
Acoustics
198(1)
Temperature
198(1)
Sensors for Diagnostic Systems
198(1)
Quantifying the Quality of a Workpiece
199(1)
Evaluation of an Existing Flexible Manufacturing Cell Using a Sensing Network
199(8)
Understanding Computer Communications and Sensors' Role
207(6)
Application Layer Communication
209(1)
Presentation Layer Communication
209(1)
Session Layer Communication
210(1)
Transport Layer Communication
210(1)
Network Layer Communication
210(1)
Data Link Layer Communication by Fiber Optics or Coaxial Cable
210(1)
Physical Layer Communication
210(1)
Adding and Removing Information in Computer Networks Based on Open System Interconnect (OSI)
211(2)
Understanding Networks in Manufacturing
213(3)
RS-232-Based Networks
213(2)
Ethernet
215(1)
Transmission Control Protocol (TCP)/Internet Protocol (IP)
216(1)
Manufacturing Automation Protocol
216(5)
Broadband System for MAP Protocol
217(2)
Carrier-Band System for MAP Protocol
219(1)
Bridges MAP Protocol
219(1)
Token Systems for MAP Protocol
220(1)
Multiple-Ring Digital Communication Network---AbNET
221(2)
The Universal Memory Network
223(2)
Satellite Sensor Network
225(4)
Further Reading
226(3)
The Role of Sensors and Control Technology in Computer-Integrated Manufacturing
229(46)
Introduction
229(1)
The CIM Plan
230(2)
The CIM Plan in Manufacturing
231(1)
The CIM Plan in Engineering and Research
231(1)
The CIM Plan in Production Planning
231(1)
The CIM Plan in Physical Distribution
231(1)
The CIM Plan for Business Management
231(1)
The CIM Plan for the Enterprise
232(1)
The Manufacturing Enterprise Model
232(14)
Marketing
234(1)
Engineering and Research
235(3)
Production Planning
238(1)
Plant Operations
239(3)
Physical Distribution
242(2)
Business Management
244(2)
Design of CIM with Sensors and Control Systems
246(6)
Components of CIM with Sensors and Control Systems
247(1)
CIM with Sensors and Control Systems at the Plant Level
248(4)
Decision Support System for CIM with Sensors and Control Systems
252(2)
Computer-Integrated Manufacturing Database (CIM DB)
252(1)
Structure of Multiobjective Support Decision Systems
253(1)
Analysis and Design of CIM with Sensors and Control Systems
254(3)
Structured Analysis and Design Technique (SADT)
255(1)
A Multiobjective Approach for Selection of Sensors in Manufacturing
256(1)
Data Acquisition for Sensors and Control Systems in CIM Environments
257(5)
Real-World Phenomena
257(1)
Sensors and Actuators
257(2)
Signal Conditioning
259(1)
Data Acquisition for Sensors and Control Hardware
259(2)
Computer System
261(1)
Communication Interfaces
261(1)
Software
262(1)
Developing CIM Strategy with Emphasis on Sensors' Role in Manufacturing
262(13)
CIM and Building Blocks
263(1)
CIM Communications
264(1)
Plant Floor Communications
264(2)
Managing Data in the CIM Environment
266(1)
CIM Environment Presentation
267(2)
The Requirement for Integration
269(4)
Further Reading
273(2)
Advanced Sensor Technology in Precision Manufacturing Applications
275(50)
Identification of Manufactured Components
275(3)
Bar-Code Identification Systems
275(2)
Transponders
277(1)
Electromagnetic Identification of Manufactured Components
277(1)
Surface Acoustic Waves
278(1)
Optical Character Recognition
278(1)
Digital Encoder Sensors
278(4)
Position Encoder Sensors in Manufacturing
280(2)
Fuzzy Logic for Optoelectronic Color Sensors in Manufacturing
282(6)
Sensing Principles
282(1)
Color Theory
283(2)
Units of Color Measurement
285(1)
Color Comparators and True Color Measuring Instruments
286(1)
Color Sensor Algorithms
287(1)
Optimum Detectors in Light Sensors
288(1)
Available Light Sensing Options
288(1)
Photodiodes
289(2)
Phototransistors and Photodarlingtons
291(1)
Photoconductive Sensors
292(1)
Integrated Circuits
293(1)
Hybrids
293(1)
Sensor Electronic Assemblies
293(1)
Other Sensors
294(1)
Selecting a Sensor
294(1)
Infrared Light Domain
294(1)
Visible Light Region
295(1)
Nanowatts Power
295(1)
Considering High-Performance Photodiodes
295(1)
Hybrids of Photomultipliers Options
295(1)
Design Considerations in Fuzzy Logic Color Sensors
295(3)
Fuzzy Logic Controller Flowcharts
296(2)
Sensors Detecting Faults in Dynamic Machine Parts (Bearings)
298(2)
Sensors for Vibration Measurement of a Structure
300(2)
Optoelectronic Sensor Tracking Targets on a Structure
302(1)
Optoelectronic Feedback Signals for Servomotors through Fiber Optics
303(2)
Acoustooptical/Electronic Sensors for Synthetic-Aperture Radar Utilizing Vision Technology
305(2)
The Use of Optoelectronic/Vision Associative Memory for High-Precision Image Display and Measurement
307(2)
Sensors for Hand-Eye Coordination of Microrobotic Motion Utilizing Vision Technology
309(1)
Force and Optical Sensors Controlling Robotic Grippers for Agriculture and Manufacturing Applications
310(2)
Ultrasonic Stress Sensor Measuring Dynamic Changes in Materials
312(2)
Predictive Monitoring Sensors Serving the CIM Strategy
314(1)
Reflective Strip Imaging Camera Sensor---Measuring a 180°-Wide Angle
315(2)
Optical Sensor Quantifying Acidity of Solutions
317(2)
Sensors for Biomedical Technology
319(6)
Sensor for Detecting Minute Quantities of Biological Materials
319(1)
Sensors for Early Detection and Treatment of Lung Tumors
320(1)
Ultrasensitive Sensors for Single-Molecule Detection
321(2)
Further Reading
323(2)
Industrial Sensors and Control
325(54)
Introduction
325(3)
Sensors in Manufacturing
328(1)
Temperature Sensors in Process Control
329(8)
Semiconductor Absorption Sensors
330(1)
Semiconductor Temperature Detector Using Photoluminescence
331(3)
Temperature Detectors Using Point-Contact Sensors in Process Manufacturing Plants
334(1)
Noncontact Sensors---Pyrometers
334(3)
Pressure Sensors
337(1)
Piezoelectric Crystals
337(1)
Strain Gauges
338(1)
Fiber-Optic Pressure Sensors
338(2)
Nano-Positioning Capacitive Metrology Sensors
340(3)
Nano-Capacitive Positioning Sensors
340(3)
Electrode Geometry, Sensor Surface Flatness, and Finish
343(1)
Special Design Eliminates Cable Influences
343(1)
Materials Achieving Greater Accuracy
343(1)
Mounting, Calibration, and Measuring Ranges
344(1)
Parallelism of Measuring Surfaces
345(1)
Electronics Support
345(3)
Sensor Installation
348(1)
Factory Calibration for Improved Linearity
348(1)
Using the Integrated Linearization System (ILS) for Highest Accuracy
348(1)
Multichannel Measurements
348(1)
Displacement Sensors for Robotic Applications
348(2)
Process Control Sensors Measuring and Monitoring Liquid Flow
350(5)
Flow Sensors Detecting Small Air Bubbles for Process Control in Manufacturing
351(2)
Liquid Level Sensors in Manufacturing Process Control for Petroleum and Chemical Plants
353(2)
Sensory MEMS Enable Certain Molecules to Signal Breast Cancer's Spread
355(1)
On-Line Measuring and Monitoring of Gas by Spectroscopy
356(3)
Using Avalanche Photodiodes to Improve System Performance
359(1)
Structures of Avalanche Photodiodes---APD Structures
360(2)
Critical Performance Parameters
362(1)
Selecting an APD
363(2)
Types of APDs
364(1)
Understanding the Specifications Responsivity and Gain
364(1)
Dark Current and Noise Current
365(2)
Excess Noise Factor
365(2)
The Geiger Mode
367(1)
Crack Detection Sensors for Commercial, Military, and Space Industry Use
367(2)
Control of the Input/Output Speed of Continuous Web Fabrication Using Laser Doppler Velocity Sensor
369(1)
Ultrasonic/Laser Nondestructive Evaluation Sensor
370(1)
Process Control Sensors for Acceleration
371(1)
An Endoscope as Image Transmission Sensor
372(1)
Sensor Network Architectures in Manufacturing
373(2)
Power Line Fault-Detection Systems for Power Generation and Distribution Industries
375(4)
Further Reading
376(3)
Sensors in Flexible Manufacturing Systems
379(60)
Introduction
379(1)
The Role of Sensors in FMS
380(3)
Current Available Sensor Technology for FMS
381(2)
Robot Control through Vision Sensors
383(5)
Image Transformation
383(1)
Robot Vision and Human Vision
384(1)
Robot Vision and Visual Tasks
384(2)
Robot Visual Sensing Tasks
386(1)
Robots Utilizing Vision Systems to Recognize Objects
386(2)
Robot Vision Locating Position
388(1)
Robot Guidance with Vision System
389(2)
Robot Vision Performing Inspection Tasks
389(1)
Components of Robot Vision
390(1)
End Effector Camera Sensor for Edge Detection and Extraction
391(4)
Shape and Size
392(1)
Position and Orientation
392(1)
Multiple Objects
393(2)
End Effector Camera Sensor Detecting Partially Visible Objects
395(5)
Runtime Phase
400(1)
Ultrasonic End Effector
400(1)
End Effector Sound-Vision Recognition Sensors
400(7)
Standoff
402(1)
Large Surface Measurements
402(2)
Sensitivity of Measurements
404(1)
Small Surfaces
404(1)
Positioning
405(2)
End Effector Linear Variable-Displacement Transformer Sensor
407(4)
Extreme Environments
409(1)
Cryogenic Manufacturing Applications
410(1)
Measurement at High Temperatures in Manufacturing
411(1)
Robot Control through Sensors
411(1)
Multisensor-Controlled Robot Assembly
412(5)
Control Computer
415(1)
Vision Sensor Modules
416(1)
Software Structure
416(1)
Vision Sensor Software
417(1)
History of Industrial Robotics
417(2)
Early Modern Developments
418(1)
Modern Developments
418(1)
The Invention of Industrial Robots
419(7)
Technical Description
421(2)
Robot Programming and Interfaces
423(1)
End Effectors
424(1)
Movement and Singularities
425(1)
Robot Programming
426(2)
The 2006 World Robot Market---Total Worldwide Sales
428(6)
Measurements of Robot Density Based on the Total Number of Persons Employed
434(2)
Robot Densities---One Robot per Ten Workers in the Motor Vehicle Industry
435(1)
Installations of Advanced Multipurpose Industrial Robots by Type
435(1)
Distribution of Service Robots for Professional Use
435(1)
Distribution of Service Robots for Personal and Private Use
435(1)
Projections for the Period 2007-2010
436(3)
Further Reading
437(2)
Communications
439(48)
Introduction
439(1)
Single-Board Computer
439(1)
Sensors for Input Control
440(4)
Microcomputer Interactive Development System
444(1)
The Personal Computer as a Single-Board Computer
445(5)
Role of Sensors in Programmable Logic Controllers---PLC
446(2)
Central Control Units
448(2)
Process Computer
450(1)
The NC Controller
450(19)
Manufacturing Procedure and Control
451(1)
The Machining Program
452(5)
Absolute Control
457(1)
NC Software
458(4)
Operation of an NC System
462(4)
Computer Numerical Control System
466(3)
Industrial Handling
469(4)
Packaging Technology
473(2)
Linear Indexing for Manufacturing Applications
475(2)
Synchronous Indexing for Manufacturing Applications
477(1)
Parallel Data Transmission
478(2)
Serial Data Transmission
480(3)
The Collection and Generation of Process Signals in Decentralized Manufacturing Systems
483(4)
Further Reading
486(1)
SpectRx NIR Technology
487(36)
An Introduction to SpectRx NIR Technology
487(1)
Abbreviations---Nomenclature
487(3)
Glossary
490(1)
Formula and Mathematical Relations
491(1)
The SpectRx FFT-NIR Technology Advantage
492(3)
Software Philosophy
493(1)
Data Flow Outlines
494(1)
Radiometric and Spectral Theory
495(1)
Sensitivity
495(11)
Object View Spectral Radiation
495(2)
Transmission of the Spectroradiometer
497(1)
Throughput
497(1)
Power at the Detector
497(1)
Detector Current
498(1)
Sources of Noise
498(1)
Photon Noise
498(1)
Johnson Noise (InSb Detectors)
499(4)
Quantization Noise
503(1)
Dark Noise
503(1)
Jitter Noise
504(1)
Scanning Instability Noise
504(1)
Instrument Efficiency
504(1)
NESR
505(1)
Signal-to-Noise Ratio
506(1)
Instrument Line Shape and Spectral Resolution
506(3)
Spectral Resolution
507(1)
Apodization
508(1)
Radiometric Calibration
509(6)
Calibration Theory
510(2)
Multiple Point Calibrations
512(1)
Linear Multiple Point Calibrations
512(1)
Nonlinear Multiple Point Calibrations
513(2)
Radiometric Accuracy
515(8)
Calibration Source Errors
515(2)
Calibration Drift
517(2)
Intrinsic Linearity
519(1)
Detector Nonlinearity Errors
520(1)
Channel Spectrum Error
520(2)
Spectral Aliasing Error
522(1)
Further Reading
522(1)
Economic and Social Interests in the Workplace
523(42)
Manufacturing Operation Control Through Financial Planning
523(6)
Developing a Plan
524(1)
Sales Budget
524(1)
Product Budget
524(1)
Selling and Administrative Budget
525(1)
Capital Budget
526(1)
Financial Budget
526(1)
Income Statement and Balance Sheet Projections
526(1)
Planning for Profit
527(1)
Controlling Operation
527(1)
Cost and Profit Analysis
528(1)
Information Assimilation and Decision Making
529(6)
Breakeven Analysis
529(1)
Breakeven Chart and Formula
529(2)
Utilization of Breakeven Analysis
531(1)
Incremental Analysis
532(1)
The Large New Production Order
532(1)
Make versus Buy
533(1)
The Importance of the Basic Data
534(1)
Communication
535(7)
The Need for Timeliness
536(1)
The Reporting Strategy
537(1)
Responsibility Centers
538(1)
Controllable and Uncontrollable Costs
538(2)
Construction of the Report
540(1)
Analyzing Cost and Profit Data
540(1)
Communication of Business Financial Status
541(1)
Mathematical Methods for Planning and Control
542(14)
Dealing with Uncertainty
542(1)
Objective Probability
542(1)
Subjective Probability
543(1)
Capital Budget
544(1)
Cost of the Fixed Asset
544(1)
The Expected Net Cash Flow
544(1)
Opportunity Cost
544(1)
The Present Value
544(3)
Inventory Analysis
547(1)
Linear Programming
548(1)
The Profit Function
549(1)
The Constraints
549(2)
Project Management
551(4)
Simulation
555(1)
Where Do Sensors and Control Systems Take Us?
556(9)
Further Reading
563(2)
Index 565
Sabrie Solomon (Ridgewood, NJ) is founder, owner, and CEO of American SensoRx, Inc., a tenured adjunct professor in the mechanical engineering department at Columbia University, and the author of three other books, including Sensors Handbook (McGraw-Hill).