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An investigation into the application of group technology in advanced manufacturing systems

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Title: An investigation into the application of group technology in advanced manufacturing systems


1
An investigation into the application of group
technology in advanced manufacturing systems
  • Presented by
  • Yasar Levent Koçaga

2
Group Technology
  • A manuf. philosophy in which similar parts are
    identified and grouped together to take advantage
    of their similarities in design and manuf.
  • A concept to increase prodn efficieny by
    grouping various parts and products with similar
    design and/or production processes

3
Group Technology
  • A theory of management based on the principle
    that similar things should be done similarly.
  • These similar things include
  • product design
  • process planning
  • fabrication
  • assembly
  • production control

4
Benefits of GT
  • Product design
  • Tooling and setups
  • Material handling
  • Prodn and inventory control
  • Process planning
  • Employee satisfaction

5
GT Planning
  • Coding
  • specification of knowledge concerning the
    similarities between parts
  • Classification (group formation)
  • The use of part codes and other information to
    assign parts to families
  • Layout
  • Physical placement of machines on the shop floor

6
Coding structures
  • Monocodes (hierarchical)
  • Polycodes (chain-type)
  • Mixed-codes

7
Layout
  • GT can be viewed as an attempt to obtain the
    advantages of flow line systems in environments
    previously ruled by job shop procedures
  • Thus 3 types of group layout arise
  • GT flowline
  • GT cell
  • GT center

8
Literature review
  • Most of the research available deals with GT
    models and techniques
  • Very little attention given to practical issues
    and GT applications

9
Literature review
  • Design-oriented approaches
  • Visiual inspection
  • Part coding and classification analysis (PCA)

10
Literature review
  • Production-oriented approaches
  • Array based methods
  • Hierarchical and non-hierarchical methods
  • Heuristics
  • Mathematical programming models

11
Literature review
  • GT clustering methods
  • Sequential decision making processes
  • Mathematical programming models
  • Simulation
  • Network theory
  • Fuzzy theory
  • Heuristics
  • AI and expert systems

12
Literature review
  • GT clustering methods dominate
  • Clustering methods do not consider many
    operational and technological constraints as
    copmpared to MP
  • MP limited to problem size

13
Literature review
  • Many subjective factors from realistic situations
    not included anyway
  • Simulational models, fuzzy theory, AI and expert
    systems offered for realistic constraints
  • Nevertheless, human factors, behavioral and
    managerial issues

14
Some applications
  • NTI
  • Deere Co.
  • Both cases point out to the benefits of GT if
    well applied

15
Scope of GT in advanced manufacturing systems
  • GT facilitates JIT which requires
  • Simple prodn line with kanban material flow
  • Setup reduction
  • Elemination of all waste from WIP to scrap and
    rework
  • U-shaped layout

16
Scope of GT in advanced manufacturing systems
  • Process similarity and product flexibility when
    designing cells for FMS
  • AGVs must also be considered
  • Interactions between cells must be considered
  • OPT can be used to eleminate bottleneck
    operations in JIT and FMS.

17
Further research
  • Reducing the gap between theory and practice is
    crucial
  • Comparison of current cell formation procedures
  • Accurate similarity measures
  • Techniques that consider batch size, processing
    and setup time when selecting parts
  • Aspects such as capacity integration between
    various machines in resource grouping

18
Further research
  • Aspect of grouping workers
  • Other associated resources such as tools, jugs,
    ixtures and pallets when grouping parts and
    machines
  • Models to find the optimum flexibility when
    designing FMS cells
  • Application of recent technologies such as AI
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