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
-
70/30 rule: 70% of the manufacturing costs is determined at the design
stage
-
GM: 70% of the final production cost
-
Rolls-Royce: 80% of the final production cost
-
Reduce direct cost in manufacturing by reducing the no. of components and
subassemblies, use new materials, and material processing techniques
cost product defect is detected
$1 design
$10 production
$100 customer
3. CIM approach to product design
-
the design decisions should be integrated, informed, and balanced by involving
manufacturing, repair, purchasing, and other knowledgeable personnel early
in the process
-
What good is it if it does not work
-
What good is it if it does not sell
-
What good is it if it is not profitable
-
What good is it if it cannot be made
-
Concurrent engineering/Simultaneous engineering:
-
the 4 C's:
-
Concurrence: design-production continuum
-
Constraints: finance, marketing, quality, reliability, maintainability,
machinability, assembly, schedulability
-
Coordination: quality, cost & delivery
-
Consensus: group decision
-
Standardization of design data (geometry, dimensions, structures, surface
finish, assembly instructions, etc.)
-
DXF (Data eXchange Format)
-
IGES (Initial Graphics Exchange Specification)
-
PDES (Product Data Exchange Specification)
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)
-
Min. the no. of machines involved
-
Assign parts to machine cells
-
Max. the no. of parallel operations
-
Max. batch splitting
-
Allow for alternative process plans
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
-
Similar parts are grouped together to improve manufacturing effectiveness
-
Production in cells of machines with associated tools, pallets, and fixtures
(Cellular Manufacturing)
® simplified process planning (parts
of the same family use similar process plans)
3. Preproduction activities:
(a) Prototype testing/structural analysis
-
Physical models ® iconic models on computers
-
operation safety
-
predict stress field, thermal distortion, vibration severity, noise emission,
etc.
(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
-
Cutter Location data (CLD): part geometry + operation & tooling requirements
-
Machine control data (MCD or "G" code): machine-specific CLD
4. 4 common discrete manufacturing processes:
-
Forming: use mechanical pressure to transform raw material into a useful
part
-
Machining: give the formed part its functional features, required tolerance
& finish, e.g., milling, grinding, drilling, latheing, etc.
-
Assembly: combining two or more fabricated parts in a predetermined relationship
-
Auxiliary operation, e.g., welding, washing, heat treatment
Characteristics of discrete manufacturing ®
NC technology
-
Lot size < 50
-
Complex part geometry
-
Numerous processing operations
-
Frequent changes in engineering design
-
Costly process mistakes
-
Narrow tolerance range
-
100% inspection is needed
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)
-
Setup/Machine
-
Process
-
Convertibility/Product
-
Routing
-
Volume
-
Expandability
-
Operation
-
Production
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)
-
Variant CAPP (e.g., MIPLAN): a new process plan is produced by modifying
existing standard plans
-
Generative CAPP (e.g., GENPLAN): a new process plan is developed from scratch
each time according to its process sequence, part geometry, material and
other related factor
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
-
Production planning & control deals with developing production plans,
implementing these plans, monitoring the progress toward achieving these
plans, and developing and implementing corrective actions when the original
plans need modification. Management's strategic plans are translated into
manufacturing plans for producing parts in the right quantities, at the
right time, at the lowest possible cost, and with the highest possible
quality
-
Information flow in production planning & control
-
Demand forecasting
-
Aggregate production planning
-
Master production schedule
-
Material requirements planning
-
Capacity planning
-
Shop floor control
2. Shop floor control activities - acquire up-to-date information on
the progress of manufacturing orders to control factory operations
-
Order release
-
Detailed assignment
-
Data collection and monitoring
-
Control/feedback
-
Order disposition
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
-
Factory data collection technologies
-
Bar code
-
Optical character recognition
-
Vision/Image processing
-
Radio frequency identification
-
Magnetic identification
-
Voice technology
-
Computer control & monitoring technologies
-
Programmable logic controllers ® logical
control
-
Measuring device, e.g., CMM (Coordinate Measuring Machine) ®
physical control
-
Sensors ® adaptive control (a control system
that measures process variables, e.g., cutting force, temperature, horse
power, hardness of material, width/depth of cut, air gaps in part geometry,
etc. to manipulate feed and/or speed of a machining process to compensate
for undesirable changes in the process variable)
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.
-
Robot - reprogrammable & multi-functional
-
Automated guided vehicles - 1st & 2nd generation AGVs
-
Automated storage & retrieval system - computerization of material
management at the shop floor
-
Palletization - better utilization of expensive equipment
6. Other applications of robots
-
Hazardous condition (heat, radiation, toxicity, weight)
-
Repetitive tasks, e.g., pick-and-place, machine loading, multishift operation
-
Material transfer
-
Processing operations, e.g., welding, spray coating, drilling, etc.
-
Assembly
-
Inspection
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
-
solve problems that are difficult and require expertise;
-
use descriptive facts and reasoning heuristics
-
explain what it knows and its reasoning process
Expert Systems Applications
-
Control governs system behavior to meet specifications
-
Debugging recommends corrections to faults
-
Design configuring objects under constraint
-
Diagnosis locates sources of defects ** Predominant
-
Instruction teaches
-
Interpretation clarifies situations
-
Planning develops goal-oriented schemes
-
Prediction guesses
-
Repair fixes
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 |
|
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
|