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Manufacturing Engineering Technology in SI Units, 6th EditionChapter 39:
Computer-Integrated Manufacturing Systems
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Chapter Outline
1. Introduction
2. Cellular Manufacturing
3. Flexible Manufacturing Systems
4. Holonic Manufacturing
5. Just-in-time Production
6. Lean Manufacturing
7. Communications Networks in Manufacturing
8. Artificial Intelligence
9. Economic Considerations
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Introduction
Integration means that manufacturing processes,
operations and management are treated as a
system
Flexible manufacturing is capable of respondingto product changes, fluctuating demands and
ensuring on-time delivery of products to the
customer Holonic manufacturingis a new concept on how
manufacturing units can be organized to achieve
higher efficiency in operations
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Cellular Manufacturing
A manufacturing cell is a small unit consisting of one or
more workstations.
A workstation contains one machine (single-machine cell)
or several machines (group-machine cell) Capabilities of cellular manufacturing:
1. Loading and unloading raw materials
2. Changing tools at workstations
3. Transferring workpieces and tooling between
workstations
4. Scheduling and controlling the total operation in the cell
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Cellular Manufacturing
Flexible Manufacturing Cells (FMCs)
Manufacturing cells can be made flexible by
1. CNC machines
2. Machining centers
3. Industrial robots
4. Mechanized systems for
handling materials and parts FMCs can be unattendedorunmanned
Cost of FMCs is very high, have increasedproductivity, flexibility and controllability
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Cellular Manufacturing
Cell Design
Design and placement require efficient layout and
organization of the plant and the consideration of
product flow lines
Cost of flexible cells is high, but outweighed by
increased productivity, flexibility and
controllability
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Cellular Manufacturing
EXAMPLE 39.1
Manufacturing Cells in a Small Machine Shop
In a small shop, the machines in the cells are
arranged to allow an operator to machine a part in
the most efficient and precise manner
Each cell allows the operator to monitor the
performance of the machines in the cell
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Flexible Manufacturing Systems
Aflexible manufacturing system (FMS) integrates
all of the major elements of production into a
highly automated system
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Flexible Manufacturing Systems
The system can handle a variety of part
configurations and produce them in any order
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Flexible Manufacturing Systems
FMS have the following major benefits:
1. Parts can be produced in any order
2. Direct labor and inventories are reduced or
eliminated
3. Lead times required for product changes are
shorter
4. System is self-correcting, production is morereliable and product quality is uniform
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Flexible Manufacturing Systems
Elements of FMS
Basic elements are:
1. Workstations and cells
2. Automated handling and transport of materials
and parts
3. Control systems
May incorporate furnaces, various machines,
trimming presses, heat-treating facilities, and
cleaning equipment
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Flexible Manufacturing Systems
Scheduling
Machines must not stand idle and proper
scheduling and process planning are crucial
Scheduling for FMS is dynamic, no setup time is
wasted in switching between manufacturing
operations
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Flexible Manufacturing Systems
Economic Justification of FMS
FMS installations are capital intensive
Thorough costbenefit analysis must be
conducted before any final decision is made
Analysis include the costs of capital, energy,
materials and labour
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Flexible Manufacturing Systems
EXAMPLE 39.2
Flexible Manufacturing Systems in Large and Small Companies
Large FMS requires the extensive training of
personnel
An FMS leads to a manufacturing enterprise that
is less lean
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Holonic Manufacturing
Holonic manufacturingis a new concept
describing a unique organization of
manufacturing units
Each component is an independent entity and asubservientpartof a hierarchical organization
3 fundamental observations:
1. Complex systems will evolve2. Holons are simultaneously self-contained
3. A holarchy consists of (a) autonomous wholes
and (b) dependent parts Copyright 2010 Pearson Education South Asia Pte Ltd
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Holonic Manufacturing
A manufacturing holon is an autonomous and
cooperative building block of a manufacturing
system
Maximum flexibility can be achieved byproviding intelligence to:
1. Support all production and control functions
2. Manage the underlying equipment and systems
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Just-in-time Production
Thejust-in-time (JIT)production has the
following goals:
1. Receive supplies just in time to be used
2. Produce parts just in time to be made into
subassemblies
3. Produce subassemblies just in time to be
assembled into finished products4. Produce and deliver finished products just in time
to be sold
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Just-in-time Production
JIT is also calledzero inventory, stockless
production, and demand scheduling
This approach emphasizes
1. Pride and dedication
2. Elimination of idle resources
3. Teamwork
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Just-in-time Production
Advantages of JIT
Advantages of just-in-time:
1. Low inventory carrying costs
2. Fast detection of defects
3. Reduced inspection and reworking of parts
4. High-quality products made at low cost
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Just-in-time Production
Kanban
Kanbanmeans visible record
Record consisted of two types of cards:
1. Production card
2. Conveyance cardormove card
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Lean Manufacturing
Lean manufacturing involves:
1. Identify value
2. Identify value streams
3. Make the value stream flow
4. Establish pull
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Communications Networks in Manufacturing
Local area network(LAN) is a hardware-and-
software system where logically related groups of
machines and equipment communicate with each
other Wide area networks (WANs) is used for longer
distances
Different types of networks can be linked withfiletransfer protocols (FTPs)
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Communications Networks in Manufacturing
Wireless local area networks (WLANs) allow
equipment data-collection devices to maintain a
network connection
Wireless networks are slower than hardwired;their flexibility makes them desirable
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Communications Networks in Manufacturing
Communications Standards
Each cells computers have their own
specifications and proprietary standards
Manufacturing automation protocol (MAP)
was standardised
The International Organization
for Standardization (ISO)/OpenSystem Interconnect (OSI)
reference model is accepted
worldwide
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Artificial Intelligence
Artificial intelligence (AI) is that part of computer
science which is concerned with systems that
exhibit some characteristics
The goal of AI is tosimulate such humanbehaviours on the computer
AI has a major effect on the design, automation,
and overall economics of the manufacturingoperation
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Artificial Intelligence
Expert Systems
An expert system (ES) is defined as an intelligent
computer program that solve difficult real-life
problems by the use ofknowledge-based andinferentialprocedures
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Artificial Intelligence
Expert Systems
The field of knowledge required to perform the
task is called the domain of the expert system
To construct expert systems one needs:
1. A great deal of knowledge
2. A mechanism for manipulating that knowledge to
create solutions
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Artificial Intelligence
Natural-language Processing
Natural-language interfaces allow a user to obtain
information commands or typed questions
Computer software will have speech synthesis
and recognition (voice recognition) capabilities
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Artificial Intelligence
Machine Vision
Computers and software can be combined with
cameras and other optical sensors
Can perform inspecting, identifying, sorting parts
and guiding robots
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Artificial Intelligence
Artificial Neural Networks
Humans are much better at pattern-based tasks
Artificial neural networks (ANN) gain
capabilities through computer imitation
Artificial neural networks are used in noise
reduction, speech recognition and process control
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Artificial Intelligence
Fuzzy Logic
Fuzzy logic is an element in control systems and
pattern recognition
Fuzzy models are mathematical means of
representing vagueness and imprecise information
These models have the ability to recognize,
represent, manipulate, interpret, and utilize dataand information that are vague or lack precision
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Economic Considerations
FMS which need thorough costbenefit analysis
consist of:
1. The cost of capital, energy, materials, and labor
2. Expected markets for the products to be produced
3. Anticipated fluctuations in market demand and in
the type of product
4. The time and effort required for installing anddebugging the system