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Cellular Manufacturing Systems an Introduction - DR Upload

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    CELLULAR

    MANUFACTURING

    SYSTEMSManufacturing Operations Management

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    Progress so far

    CostTime

    Lot sizing

    principles

    EOQ-based

    Lot sizing

    principles

    Material resource planning

    Flow of variability, throughput measure

    Station

    Line Linking machines/ stations to form cells

    Controlling material flow between cells

    Simulate a manufacturing company and

    apply principles

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    PROCESS

    UNDERSTANDING

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    Drilling Machine

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    Lathe/ Milling Machine

    Lathe is mainly used to machine cylindrical jobs and operation like

    turning, grooving, facing, knurling and treading whereas milling is

    used to produce slots, flat surface, boring and gear cutting also.

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    Casting

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    Forging

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    LAYOUT

    UNDERSTANDING

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    Process Layout/ Functional Layout/ Job Shop

    TM

    TM TM

    TM

    DM

    DM

    DM

    VMM VMM BM BM

    What are the nice features?What are the issues?

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    Group technology/ Cellular layout

    TM

    TM

    TM

    TM

    DM

    DM

    DM

    VMM

    VMM

    BM

    BM

    Decreasing lot size, increasing part variety, diverse material choices,

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    TRANSFERLINE

    SPECIAL

    SYSTEM

    MANUFACTURING

    Cells

    STD. AND GEN.

    MACHINERY

    VOLUM

    E

    HIGH

    VARIETY

    LOW HIGH

    FLEXIBLE

    MANUFACTURING

    SYSTEM

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    Product Family

    Similar design

    attributes (shape),

    dissimilar

    manufacturingattributes

    Similar

    manufacturing

    routings, dissimilardesigns

    Also dishes in restaurants.

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    The missing link?

    Drawings

    Material

    selection

    Design

    LinkingProcess? Machine

    Routings

    etc

    Manufacturing

    Process

    Planning

    Lack of a database leads to redesigning the wheel

    Database to drive automated process planning

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    Group Technology

    Examining Opitz Code:

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    1st Digit

    part class

    ositions

    ith a

    igit

    2nd Digit

    main shape

    3rd Digit

    rotational

    machining

    4th Digit

    plane surface

    matching

    5th Digit

    additional

    holes teeth &

    forming

    FORM CODE

    Opitz coding and classification system.

    (H. Opitz,AClassification System to Describe Workpieces, Pergamon Press.)

    Special

    Non-rotational

    Special

    Rotational

    9

    8

    7

    6

    5

    4

    3

    2

    1

    0

    Internalshape

    element

    Rotational

    machining

    Main bore& rotational

    machining

    Other holes

    and teeth

    Other holes

    teeth and

    forming

    Other holesteeth and

    forming

    Machiningof plane

    surfaces

    Machiningof plane

    surfaces

    Machining

    of plane

    surfaces

    Externalshape

    element

    Main shape

    Main shape

    Main shape

    Main shape

    Supplim-

    entary

    code

    Digit

    6 7 8 9

    Dim

    ensions

    Material

    Orig

    inalshapeofra

    w

    materials

    Acc

    uracy

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    Examining Opitz Code:

    This Form

    code is the

    Opitz Code

    Solution on this

    shaft- like part

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    Group technology/ Cellular layout

    TM

    TM

    TM

    TM

    DM

    DM

    DM

    VMM

    VMM

    BM

    BM

    Decreasing lot size, increasing part variety, diverse material choices,

    Can we explore the existing part design and manufacturing processes?

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    Product families

    Part familyagroup of

    machines

    People,

    Incentives,Justification

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    Benefits of GT and CMS (Companies Reporting):

    52% Report reduction in new part design

    10% Report reduction in # of new drawings thrustandardization

    30% Report reduction in new shop drawings

    20% Report reduction in floor space

    45% Report reduced scrap

    80% Report reduced production and quality costs

    69% Report reduced set-up time (cost)

    Note: Reported by companies in a survey of adopters of GT

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    Benefits of GT and CMS (Companies Reporting):

    70% Report reduced throughput time (even more report

    better predictability of delivery)

    82% Report reduced numbers of overdue orders

    42% Report reduced raw-materials inventory

    62% Report reduced WIP

    60% Report reduced finished goods inventory

    33% Report increased employee output/time unit

    (productivity improvement)

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    FORMING PART

    FAMILIES

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    Create part families:

    i. Many times the company has a naturalclassification of families, e.g. for sales, forforecasting, for routing, etc.

    ii.If not use part routings to create thedistinction (if necessary adding additionalobvious characteristics to differentiate thefamilies e.g. size, options, etc.)

    iii. In many cases start with a nucleusFTMS(Risk of losing business completely vs. bigopportunity if improvements could bedemonstrated)

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    Estimate Aggregate Measures

    Annual DemandBatch sizeRun timeSetup time

    Part 1 - 10,000 100 5 60

    Part 212,000 200 10 45

    Aggregate batch size?

    Aggregate run time?

    Aggregate setup time?

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    The Central Idea in Cell Development

    We cluster parts to build part families

    Part Families visit cells

    Part Families share set-up ideas and equipment (Family Fixtures)

    Part Families follow the same (or similar) process routing

    These are the ideas and activities that offer reported benefits

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    FORMING CELLSAssigning part families to machines

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    Clustering Techniques We cluster Machines to build cells:

    Cells lead to Flow Mathematics

    Cells contain all equipment needed to produce a part family

    Cells allow development of Multi-functional workers

    Cells hold work teams responsible for production and quality TheyEmpower the workers

    Empowered to set internal schedules

    Empowered to assign tasks

    Empowered to train and rotate jobs

    Etc, etc, etc

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    Building the CMS Facility

    BeforeClustering

    AfterClustering

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    Rank order Clustering

    This method automates the cluster study by computing Binary

    weights from a machinepart matrix

    It orders parts and machine cells automatically by structuring and

    computing the matrix with binary weights

    It implies a computer algorithm for solving the clustering problem It may not solve if machines are needed by more than one family

    forces intelligence in application and hand scanning after several

    ordering iterations

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    Example

    Part Number

    M

    achineID

    X 1 2 3 4 5 6

    A 1 1

    B 1 1

    C 1 1

    D 1 1 1

    E 1 1 1

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    Step 1:

    Part Numbers D. Equiv Rank

    MachineID

    1 2 3 4 5 6

    B. Wt: 25 24 23 22 21 20

    A 1 1 23+21 = 10 5

    B 1 1 24+23= 24 4

    C 1 1 25+22=36 2

    D 1 1 124+23+21

    = 263

    E 1 1 125+22+20=

    371

    Step 2: Must Reorder!

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    Step 3:

    Part Number

    B. WT. 1 2 3 4 5 6

    Ma

    chineID

    E 24 1 1 1

    C 23 1 1

    D 22 1 1 1

    B 21 1 1

    A 20 1 1

    D. Equiv24+23

    = 24

    22+21=

    6

    22+21+

    20

    =7

    24+23=

    24

    22+20=

    5

    24=16

    Rank 1 5 4 2 6 3

    Step 4: Must Reorder

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    Back at Step 1:

    Part Number D. Eqv Rank

    1 4 6 3 2 5

    B Wt: 25 24 23 22 21 20

    MachineID

    E 1 1 125+24+

    23=561

    C 1 125+24=

    482

    D 1 1 1 22+21+

    20= 73

    B 1 1 22+21=6 4

    A 1 1 22+20=5 5

    Order stays the same: STOP!

    Great

    Cluster

    Result!

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    Rank Order Clustering Method:

    1. For each row of the machine/part matrix (M/P/M) read the patternof cell entries as a binary word. Rank the rows by decreasingbinary value. Equal values stay in same order.

    2. Ask if newly ranked rows in the matrix are the same as previousorder?Yes (STOP) No (continue)

    3. Re-form the M/P/M with rows in new descending order. Now rankthe columns by decreasing binary word weight. Columns of equalweight are left where they are

    4. Are current column weights the same as current column order?Yes (STOP), No (continue)

    5. Re-form the matrix column order per rank order (highest to left)and return to #1.

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    Try Rank Ordering

    M a c h i n e

    M1 M2 M3 M4 M5 M6 M7

    P1 1 1 1

    P P2 1 1 1

    [aij] = a P3 1 1

    r P4 1 1

    t P5 1 1

    P6 1 1 1

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    Issues in Clustering:

    R/O clustering oscillationsindicating need of machinereplication (happens often!)

    Presence of Outliers and/or Voids in the finishedclusters

    Outliers indicate the need of machine replication Voids indicate skipped machines in a cell

    Generally speaking, these clustering algorithms aredesigned to convert existing routes for facility re-organization

    They require a previous engineering study to be performed to developa series of routers on a core sample of parts that represent most ofthe production in the shop

    Minimize inter-cell movements

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    Implementation

    of cellsBegin with a market opportunity or threat

    Find a product family for which lead timereduction will create a splash

    Ensure that the product family is self-

    contained within the cell

    Dedicate in one area all resources needed

    to complete all operations in this family

    Rethink processes, equipment choices, and

    even design, to enable the family to be self-contained and resources to be dedicated

    Determine lot sizes, m/c capacity

    Create cell workforce through volunteers

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    Performance Measures

    Cost Based

    Time Based

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    MANUFACTURING CRITICAL-PATH TIME (MCT):

    THE ENTERPRISEWIDE METRIC TO

    SUPPORT ORDER FULFILLMENT ANDDRIVE CONTINUOUS IMPROVEMENT

    Quality

    On-timeDelivery

    Price

    MCT

    39

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    Current Metric for Supply Management :

    Replenishment Lead TimeThe typical amount of calendar time from when

    a manufacturing order is created until the order

    is received by the customer.

    oDoes not address how the order is fulfilled

    oOrder fulfillment likely based on prebuilt stocksoForecast errors negatively impact the prebuilt stocks

    Replenishment Lead Time is not a sufficient metric to

    measure supplier flexibility

    40

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    Need for new metrics for measuring

    supplier responsiveness

    Manufacturing Critical-path Time (MCT)

    41

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    Manufacturing Critical-path Time

    The typical amount of calendar time from when

    a manufacturing order is created through the

    critical path until the first piece of that order is

    delivered to the customer.

    MCT = MCTRaw+ MCTOperations+ MCTLogistics

    MCT is the right metric to measure supplier flexibility and

    responsiveness

    42

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    MCT Analysis Approach

    Identify suppliers to pilot the MCT metric Supplier pre-visit survey and analysis

    Visit supplier facility to:o Map the current MCT

    o Identify simple ways for reducing MCT

    o Develop long-term recommendations tosupport Build-To-Demand (BTD)

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    Consider an Example

    Operation 1: 15 days

    Intermediate WIP: 100 units (consumption 5 per day)

    Operation 2: 25 days

    FGI: 500 units (dispatch 10 per day)

    44

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    Data Collection

    Historical dataoPurchase orders

    oPart usage rates

    oPart receipts

    Supplier pre-visit questionnaireoResponse capacity

    oOperations chart

    o

    FGI quantitiesoComponents of replenishment lead time

    45

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    Data Analysis and

    Develop Recommendations Map the process from order entry

    through productionoQuoting process

    oRaw material procurement

    oOrder scheduling and production Littles law for converting inventory into time units

    Adopt Quick Response Manufacturing principlesoLead time analysis using Rapid Modeling Tool (MPX)

    C C

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    Current and Future state MCT Map

    46