Weeks 5-11

Topics:

 

The first element of CIM -- product design

1. What are involved in product design?

2. What is the importance of product design in manufacturing?

3. What is the CIM approach to product design?

4. What do the following acronyms stand for?

CAD
DFM
DFA
DFF
DFD
DFS
 
The second element of CIM -- product manufacture

1. What are the input and output to the following postdesign activities?

cost estimation

process planning

production

2. What is group technology and its role in process planning?

3. What is the significance of the following preproduction activities?

structural analysis

simulation

part programming

4. What are the 4 common discrete manufacturing processes?

5. How do the following technological developments change the way products are manufactured?

NC, CNC, DNC
FMC, FMS
6. What do the following acronyms stand for? CACE
CAPP
CAM
The third element of CIM -- shop floor control & material handling

1. What is shop floor control and its relationship to production planning and control?

2. What are the major activities of shop floor control?

3. What kinds of technologies are developed in assisting shop floor control?

4. What is the significance of materials and tools handling in discrete-parts manufacturing?

5. What kinds of technologies are developed in streamlining materials and tools handling?

  Advanced technologies in CIM

1. What are expert systems and their CIM applications?

2. What is computer vision technology and its CIM applications?

3. What is LASER technology and its CIM applications?

The first element of CIM -- product design

1. 6 steps in product design (Figure 6.1)

 

2. The importance of product design in manufacturing

  cost product defect is detected

$1 design

$10 production

$100 customer
 

 

3. CIM approach to product design   Acronym

CAD Computer Aided Design (pg. 211)
use of computers in various facets of product design & its presentation

DFM Design For Manufacturability (pg. 209)
integrates product design, process planning & production to achieve ease of manufacture

DFA Design For Assembly (pg. 210)
devotes all the efforts at the product design stage to ensure ease of assembling

DFF Design For Functionality (Taguchi method)
a product is designed to be robust with respect to design parameters and tolerance parameters

DFD Design For Disassembly (design for the environment)
a product is designed for efficient disassembly

DFS Design For Schedulability
a product is designed with consideration of the operations aspect of its manufacture

* 5 design rules (Kusiak & He 1994)   

The second element of CIM -- product manufacture

1. Postdesign activities
 
 
Activities Input Output
Cost planning
  • Costs of material, labor, machining, etc. 
  • Cost estimation formulas 
  • What-if analysis 
  • Part/product specification 
  • Part demand 
Product cost & delivery schedule
Process planning
  • Alternate production plans (sequence of operations to make the product) 
  • Part/product specification 
  • A standard process plan database (in Retrieval CAPP) 
Route sheet
Production
  • Production instruction (routing, loading, scheduling) 
  • Machines & tools availability 
  • Testing/Inspection instruction 
Finished product
 

2. Group technology

® simplified process planning (parts of the same family use similar process plans)

 

3. Preproduction activities:

(a) Prototype testing/structural analysis

 

(b) Simulation - system behavior/performance

 

(c) Part programming - program codes that represent every movement, path, or action the machine tool must take to properly produce the part as described by the engineering drawing

 

4. 4 common discrete manufacturing processes:

 

Characteristics of discrete manufacturing ® NC technology

 

5. 1950 Numerical Control (NC): use of coded numbers, letters, or symbols in the automatic control of equipment or tool positioning

1970 Computer Numerical Control (CNC): use of a computer to control several NC machines

Direct Numerical Control (DNC): the part programs are stored in the memory of the main-frame/mini and downloaded electronically when needed by the machine's NC controller

  Distributed Numerical Control (DNC): use of networked devices to gather and disseminate both downstream (part program, setup, scheduling, inspection instructions) and upstream (machine status, part status, quality problems) shop-floor data   1980 Flexible Manufacturing Cell (FMC): use of a group of NC machines connected together by an automated material handling system and operating under computer control to produce a family of parts   Flexible Manufacturing System (FMS): an automated manufacturing system consisting of computer controlled machines/workstations linked together with an automated material handling system and capable of simultaneously producing multiple part types   Flexibility (pg. 287)  

 

Acronym

CACE Computer Aided Cost Estimating (pg. 236)

a software tool (a data base of common workpiece material + machining cost + cost estimation formulas + what-if analyses) for product cost estimation

  CAPP Computer Aided Process Planning (pg. 238)  

CAM Computer Aided Manufacturing

use of computer to plan, manage, & control the operations of a manufacturing plant through direct/indirect computer interface with its production resources

 

 

The third element of CIM -- shop floor control & material handling

1. Shop floor control as an activity of production planning & control

 

2. Shop floor control activities - acquire up-to-date information on the progress of manufacturing orders to control factory operations

 
 
 
Order Release What
  How much
  When
Detailed Assignment Sequencing
  Scheduling
Data Collection Where
  State
  Resources used
  Delays
Control Work rate
  Overtime
  Safety stock
  Subcontract
Evaluation Labor hours
  Machine utilization
  Materials used
  Tooling required
  Completion dates of orders
  Amount of rework/scrap
 

3. Shop floor control technologies

 

4. Materials & tools handling - a major factor in manufacturing lead time

Machining time 1.5%

Positioning, loading, gauging, etc. 3.5%

Moving & waiting time 95%

 

5. Materials & tools handling technologies To enhance the speed of movement, weight lifted, reach distance, sensory abilities of touch, sight, smell, and hearing, and the ability to deal with harsh environment.  

 

6. Other applications of robots

 

 

Advanced technologies in CIM

 

Milestones in Machine Intelligence

1943 Do mathematics

1950 Large memories

1958 Play chess

1959 Beat humans at checkers

1965 1st expert system

1975 Understand limited English

1976 Read printed text to blind

1979 Translate foreign language

1980 Beat world backgammon champion

1981 Synthesize speech

1983 Recognize restricted speech

1986 Beat human at table tennis

1988 Beat grand master at chess

1989 Read head writing

1993 Recognize continuous speech

1997 Beat world chess champion

2005 Translate international phone calls

2010 Understand unlimited English; serve dinner, clean house

2015 Use common sense

 

Source: Raymond Kurzweil, Maureen Caudill, American Association for Artificial Intelligence

 

Artificial Intelligence - the study of how to make computers to do things that are considered to require some level of intelligence - to learn/understand from experience, to acquire & retain knowledge, to respond quickly and successfully to new situations, to solve problems, etc..

 

 
 
 
Intelligent Computing
Conventional Computing
1.  Does not guarantee a solution to a problem 1. Guarantees a solution to a problem
2. Produces results that may not be reliable or consistent 2. Produces results that are consistent and reliable
3. Solves the given problem without specific program instructions 3. Solves the given problem according to the programmer's exact instructions
4. Can solve a range of problems in a given domain 4. Can solve only one problem at a time in a given domain
 

Characteristics of an Expert System

Expert Systems Applications Examples of Expert Systems
 
 
Expert Systems Who When What
MYCIN Stanford mid-1970s diagnose a bacterial infection in blood
XCON Digital & Carnegie Mellon late-1970s configure DEC VAX 11/780 to meet customer requirements
DENDRAL Standford late-1970s identify the molecular structure of unknown chemical compounds
PROSPECTOR Sheffield Research Institute early-1980s assist geologists to locate ore deposits
ACE AT&T Bell Lab. early-1980s troubleshooting telephone cable systems
 
 
 
Technology Characteristics Application
Expert Systems
  • computer systems that solve problems that require expertise 
  • use descriptive facts & reasoning heuristics 
  • explanation capability 
 
  • Control 
  • Debugging 
  • Design 
  • Diagnosis 
  • Instruction 
  • Interpretation 
  • Planning 
  • Prediction 
  • Repair 
Machine Vision
  • Image processing 
  • Pattern recognition 
Inspection  Robotics 
LASER
  • Light Amplification by Simulated Emission of Radiation 
  • A coherent & concentrated light source converted from electric energy 
Machining (welding, cutting, drilling, heat treating, etc.)  Metrology (gauging, inspection, calibration, alignment)  Prototyping (stereolithography) 

 

 
 
 
Technology Benefits Future
Expert Systems
  • No loss of expertise 
  • Cost 
  • Portability 
  • Consistency 
Adaptive learning  Knowledge acquisition  Knowledge representation  Knowledge validation & verification 
Machine Vision
  • Consistency 
  • Precision 
Work in a noisy, cluttered real-world environment ® automatic vehicles  Interpretation of complex image, e.g., aerial photo  Virtual reality 
LASER
  • Speed (high throughput) 
  • Precision (high quality) 
  • Non-contact process (no fixturing) 
  • Minimal distortion (reduce secondary operations) 
  • Computer control 
  • Reduce tooling (tooless manufacturing) 
  • Hard material, small holes 
Fully integrated laser system: a single beam used for a variety of functions  Compact: built into existing system  Tooless manufacturing