Activity Profiling
Transcript of 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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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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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
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10000
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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
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10%20%
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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
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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%
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70%
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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
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20
40
60
80
100%
20
40
60
80
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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%
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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%
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30%
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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?