Activity Profiling

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    What is Activity Profiling?

    Warehouse Activity Profilingis the analysis of historical

    sales transaction data for the

    purposes of projecting

    warehouse activity and

    determining storage mode,

    physical layout, work flow

    processes, and labor andequipment requirements.

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    2

    Data

    INV.

    MASTER

    Inventory SnapshotsAverage Inventory

    Levels

    ORDER

    MASTER

    Order HeaderOrder Detail

    ITEM

    MASTER

    SKU NumberDescriptionItem CubePieces Per CaseCases Per PalletDivisionProduct Group

    Item Weight

    Item OrderedQtyUnit of Measure

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    3

    Developing Profiling Reports & Graphs

    STEP #1:CONSOLIDATE

    &

    CALCULATE

    Inventory

    MasterData

    ItemMasterData

    OrderData

    STEP #2:ANALYZE (Sort / Rank)&

    PRESENT

    Rank Item

    Number

    Of Order

    Lines

    Total

    Quantity

    Ordered

    % Of

    Total

    Volume

    Cumulativ

    e Volume

    # Pick

    Days

    Daily Pick

    Frequency

    1 355 1895 8971 0.5742% 0.574% 57 33.25

    2 138SA 1820 7238 0.4633% 1.038% 57 31.93

    3 353 1734 6630 0.4244% 1.462% 57 30.42

    4 SW95A 1669 5266 0.3371% 1.799% 57 29.28

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    How Do You Design aWarehouse?

    Two Ways To Designa Warehouse Storage Driven Approach

    via Cube Analysis

    Picking Driven Approachvia Order Analysis

    Storage

    Driv

    en

    Picking

    Dr

    iven

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    What is the Storage DrivenApproach to Design?

    PART I:

    PART II:

    PART III:

    Define Your Storage Zones

    Design Your Forward

    Pick Areas

    Define How You Will Plan &

    Pick Orders

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    Designing a Warehouse

    Part IDefine Your

    Storage

    Zones

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    Categorize Items By Cubic Ft of Inventory

    .125 1.5 40.0 320.0

    Calculate the cubic feet of storage

    that each item requires and thenassign it to an inventory

    container of the appropriate size.

    Cubic Feet of Storage Required For An Item

    Multi-Pallet

    Drive In

    Rack

    Pallet Rack

    Bin Shelving

    Drawers

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    Develop an Inventory Container GraphInventory Container Graph

    0

    5000

    10000

    15000

    20000

    25000

    0.125 1.5 8 40 320

    Cubic Feet of Storage Needed

    #o

    fSKUs

    Now you can begin to think about what storage modes might be

    reasonable candidates for the merchandise you are storing

    Drawers

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    Develop a Pick Size Classification SchemeNext develop a classification scheme for picks based on the size of the pick.Usually designers will use pallet, case, and piece pick sizes

    Piece Pick Case Pick Pallet Pick

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    Assess the Activity In Each Inventory ContainerInventory Container Graph

    0

    5000

    10000

    15000

    20000

    25000

    0.125 1.5 8 40 320Cubic Feet of Storage Needed

    #ofSKUs

    Assess the activity in the largercontainers to see if there is the possibility

    that some of the items should be movedto a forward pick area. The decision willbe driven by the # of such picks in thecontainer and the overall size of thelarger container storage area.

    Piece Picks Within the Pallet Inventory Area

    0

    200

    400

    600

    800

    1000

    1200

    5 15 25 35 45 55 65 75 85 95

    Cummulative # of SKU's

    #ofPicks

    /Day

    Piece Pick

    ActivityCurve

    Move these toCase Storage

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    Designing a Warehouse

    Part IIDefine Your

    Forward Pick

    Areas

    Forward Pick Areas

    Reserve Areas

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    General Process for Forward Pick Design

    Questions that Must Be AnsweredAbout the Forward Pick Area(s):

    How many forward pick areas do youneed?

    Determine how many SKUs should go onthe pick line

    Removing unusual SKUs from the pick line

    Sequence the SKUs on each pick line

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    % Items

    0%

    10%20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

    % Orders

    Complete

    Full Case Orders

    Broken Case Orders

    Overall

    Order Completion Analysis By Size of Pick

    % Items

    0%

    10%20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

    % Orders

    Complete

    Full Case Orders

    Broken Case Orders

    Overall

    Order Completion Analysis By Size of Pick

    0%

    10%20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

    % Orders

    Complete

    Full Case Orders

    Broken Case Orders

    Overall

    Full Case Orders

    Broken Case Orders

    Overall

    Order Completion Analysis By Size of Pick

    You will likely have multiple forward pick areasFor each Pick Size you need to decide if there are a lot of picksassociated with a relatively small subset of the items. If so, you will

    likely want to set up a forward pick area for that Pick Size.

    80% of Picks

    from

    20% of Items

    These Items should go intoa forward pick area.

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    Determining How Many Items in Forward Pick

    Number of

    SKUs

    % Case

    PicksFilled

    % Days

    Picked

    20 33 99

    30 46 9740 52 9550 67 9360 73 92

    70 79 9080 81 83

    90 84 79100 88 68110 92 63

    120 92 52130 95 44140 98 33

    150 98 25

    160 100 22

    Number of SKUs

    Trade Off:

    Space Utilization and Efficiency

    0

    20

    40

    60

    80

    100%

    20

    40

    60

    80

    100

    120

    140

    160

    0

    20

    40

    60

    80

    100%

    % Case Picks Filled% Days Picked

    Generally to determine how many items you are going to put in theforward pick area you look at the tradeoff between adding an item into

    the forward pick area and the % of additional orders you are then ableto complete in that area.

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    Determining How Many Items in Forward Pick

    Rank Item DaysShipped

    % Of

    Frequency(By Day)

    CasePicks

    % Of Total

    Case Picks(541,786)

    CummulativeCase Picks

    (Out of 104)

    1 S118R 104 100.0% 20045 3.6998% 3.6998%

    2 S12DC 104 100.0% 10757 1.9855% 5.6853%

    3 S23DC 104 100.0% 4732 0.8734% 6.5587%

    4 522X 104 100.0% 3212 0.5929% 7.1515%

    5 SP2I 104 100.0% 507 0.0936% 7.2451%

    6 2091I 104 100.0% 14350 2.6486% 9.8938%

    7 3232W 103 99.0% 16270 3.0030% 12.8968%

    8 3232I 103 99.0% 16173 2.9851% 15.8819%

    9 SPT8W 103 99.0% 8208 1.5150% 17.3969%

    10 SP8I 103 99.0% 5385 0.9939% 18.3908%

    11 SP8W 103 99.0% 5082 0.9380% 19.3288%

    12 P8I 103 99.0% 3345 0.6174% 19.9463%

    90

    D i i W h

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    Designing a Warehouse

    Part IIIDefine How

    To Plan &

    Pick Orders

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    Wave Planning & Picking ApproachesDaily Order Pool

    Orders of this type get released to the floor

    and picked in the following manner every Xhours

    While designers make assumptions at the start of a design about how thebulk of the orders will be released and picked, the details behind theirthinking are not usually flushed out until the end of the project. They oftenalso wait until the end to define the planning and picking approaches for the

    exceptional orders.

    Orders of this type get released to the floorand picked in the following manner every Yhours

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    Ways in which you can process orders differently

    Order Selection Criteria & Groups Rush vs Regular Orders

    Geography (West Coast vs East Coast)

    Orders Requiring PersonalizedMerchandise

    Single vs Multi-Line Orders

    Types of Picks Needed to CompleteOrder

    Order Cube (Sm Pkg vs LTL vs TL)

    Forced UponYou By

    TheBusiness

    EfficiencyOpportunity

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    Assess the Significance of Single Unit OrdersUnits/Order as a Percentage of Total Orders

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    0 2 4 6 8 10 12 14 16 18 20

    Units Per Order

    Cumulative%o

    fO

    rders

    .

    One of the greatest opportunities to improve warehouse efficiency is choosinga different mechanism for picking single unit orders from multi-unit orders.

    45% of all Orders are single unit orders.

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    Deciding on a Picking Approach

    Single Order Picking Multi-Order Picking Batch Picking

    After the different groups of orders have been identified, the designer has tomake a decision about how each group of orders will be picked.

    Order #1Order #2

    Sorting Picks at End of Tour

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    How Will Orders in Forward Pick Be Picked?

    75%

    10%5% 5% 3%

    1%0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    %o

    fTotalO

    rders

    0.5 1 2 8 32 64

    Order Cube (Cu Ft)

    Multi Line Order Cube

    Good candidates for

    Multi Order Picking

    Multi-Order Picking Cart

    Order #2Order #3

    Order #1

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    Deciding on a Picking Medium

    Radio Frequency (RF)Barcode Picking

    Voice Picking

    Label Picking

    Pick To Light

    For each picking approachyou need to decide on amechanism for how picks willbe communicated to pickers.

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    How Do You Plan & Pick Different Orders

    Small CubeMulti-Line Orders

    Order Group Pick Method Pick Medium

    Single Line Orders

    Multi-Order Picking

    Batch Picking

    RF Terminals

    Labels

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    Summary of Warehouse Design Process

    PART I:

    PART II:

    PART III:

    Define Your Storage Zones

    Design Your Forward

    Pick Areas

    Define How You Will Plan &Pick Orders

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    Observations

    Every descriptive tool or technique seems to bebased on a specific need

    Profiling/design is less about describing an as

    is warehouse, than about saying how it shouldhave been

    Its hard to integrate the different descriptivetools and techniques

    Can we build a comprehensive, computationaldescription from which all the different needscan be met?

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    Model

    Schema

    Process

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    AMPL, AIMS, GAMS, and othermodeling languages incorporate

    a reference modelfor the domainof optimization models, and areused to create instancesof

    optimization models.

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    Can reference models be

    developed for the domain ofdiscrete event logistics systems,

    or for subsets of the domain, e.g.,warehouses, factories, and

    supply chains?