WAREHOUSE MODEL AT THE ATHELETIC SHOE COMPANY
Harrell Case Study 3
Submitted By: Anh Pho & Gail Savage
Rensselaer at Hartford
Simulation Modeling and Analysis (DSES-6220)
Professor: Ernesto Gutierrez-Miravete
Due Date: 12/21/00
Table of Contents
Abstract/Executive Summary
Introduction/Background
Objective
Scope
Requirements
Assumptions
Model Development
Verification
Validation
Performance Metrics
Discussion of Results
Conclusion & Recommendations
Appendix A- Model Program Listing
Appendix B- Model Output
Appendix C- Copy of Case 3 from Harrell (pgs 371-373)
Appendix D- Sample of Output Trace
References
Page
2
3
4
4
4
4
5
8
9
9
9
10
11
16
23
26
27
A disk is included at the end of the report with the program, output, trace, final report and
presentation file.
i
Abstract/Executive Summary
This project satisfies two requirements of the Athletic Shoe Company (ASC). The first
requirement is to design the physical layout for the automated storage and retrieval system
(AS/RS) for the warehouse facility. This phase is necessary to determine the warehouse’s ability
to hold its inventory needs. The second requirement of this project is to model the material flow
within the warehouse. A computer simulation using ProModel software was developed to
represent the customer, order material flow and the receiving material order flow.
The model satisfied our performance metrics for a resource utilization rate above 80%, for
maintaining an inventory level of approximately 6,000 pairs of shoes and for meeting a shipping
rate requirement of 7,000 – 8,000 pairs of shoes per day. The following report details the steps
required to develop this model.
2
Introduction/Background
The purpose of our project is to design and model a new warehouse management system
utilizing an automated storage and retrieval system (AS/RS) for the Athletic Shoe Company.
The objective is to meet the needs of the company for timely distribution of its products. The
parameters of the project are described in Case Study #3 in the Harrell, et. al., text book.
The warehouse ships between 100,000 and 150,000 pairs of shoes per day. The shipments are
made to 8,000 – 10,000 destinations. The Athletic Shoe Company wishes to keep an inventory
of 3,000,000 pairs of shoes in order to provide prompt order fulfillment. The inventory consists
of 30,000 stock-keeping units (SKUs). Each SKU will be considered to be a unique combination
of shoe style and size. We assumed that we would equally store 100 pairs of each SKU.
The warehouse has 500,000 square feet available for storage. Based on this, we calculated the
storage dimensions in Figure 1.
681.5 ft
733.5 ft
170.3'
170.3'
Sort,
Wrap
& Pack
Shipping
Store
500,000 sq ft
Unpack
& Scan
Receiving
Figure 1- Basic Warehouse Layout
The warehouse also has a 40 ft height constraint. The project began with the design of the layout
of the rack storage area. Each shoebox measures 18” long X 12” wide X 5” high. The
shoeboxes can be stacked up to 8 high on each other. We designed a bin storage container for
3
our AS/RS system that would hold 112 pairs of shoes. The bin dimensions were computed to 7ft
long X 3 ft wide X 3.5 ft high.
Each single row of storage bins has the configuration in Figure 2.
Single Row Elevation View
Height=35 ft
(10 Bins)
1
2
3
4
5
6
7
8
9
10 11 12 13 14 15
60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75
Storage
Bin
Length= 525 ft
(75 Bins)
Storage/Retrieval
Machine
Storage Layout View (Top View)
P/D
Station
Row 1
P/D
Station
Row 2
Row 3
P/D
Station
Row 20
P/D
Station
Figure 2 – Layout and Elevation of AS/RS Storage System
Each double row has the capacity for 1,500 storage bins (168,000 pairs of shoes). Therefore our
layout requires 20 double rows to accommodate the 3,000,000 pair inventory storage
requirement.
There are two macro view processes occurring in the warehouse. The first process is the
shipping process. This is driven by the customer order, which is broken down to line items for
each SKU ordered. A customer order includes between 10 and 19 pairs of shoes/ order. A single
picker fills the entire order.
4
The second process is the receiving process. It is assumed that between 100,000 and 150,000
pairs of shoes are received each day to maintain the 3,000,000 pairs of shoes inventory. The
shoes are received on pallets and sorted according to the SKU’s. Each SKU is assigned to a
unique storage bin and corresponding aisle location.
Objective
To design a storage layout scheme and build a model of the shipping and receiving systems
to meet the needs of the company for timely distribution of its products, using the student
version of ProMod (4.2).
Scope
This project determines the layout of the warehouse facility and the process flow for
customer/receiving orders used in the warehouse. The rack and storage area was designed to
hold the required inventory. The layout of the automated storage and retrieval systems (AS/RS)
was designed. Due to the complexity of the system, the AS/RS will not be modeled in this
project. The system elements modeled will be the material flows for both the receiving of stock
and shipping of customer orders.
Requirements
The hardware and software requirements to complete this project include: ProModel software
(V.4.20), an IBM compatible PC with Microsoft Windows 95 or higher and at least 16 MB of
memory. At least one simulation analyst proficient in model building with ProModel is also
required. The project will require 2-3 months to complete, with a completion deadline of
December 21, 2000.
Assumptions
The following are our assumptions for the model:
1. All SKUs are equally shipped. The storage requirement for all SKUs are the same
(100 pairs/SKU).
2. One filler picks the entire customer order.
3. One person (“put away guy”) stocks the entire receiving order.
5
4. The warehouse is already fully stocked at the beginning of the simulation.
5. Receiving arrival rate and the shipping arrival rate are the same to maintain a constant
inventory level.
6. The model assumes no down time.
7. All “fillers” and “put away guys” have the same service rate.
8. The warehouse runs 24 hours/day.
Model Development
Because of the size of the problem model, we decided to scale the model down from the original
model. Therefore, our new parameters for the problem become:
Shipping Rate (pairs/day)
7,000 – 8,000
Inventory Requirement (pairs)
6000
Quantity per Shipping Order (pairs/order)
1–4
SKU per Order (Sku/order)
1–4
Receiving Rate (pairs/day)
7,000-8,000
The two sub-processes in the model are filling customer orders and processing receiving orders.
The shipping of products is driven by the receipt of the customer orders. The customer order is
divided into 1 to 4 line items, each representing 1 SKU. There are 0 – 4 pairs of shoes per line
item. The fillers start with the first line item and walk through the pickup tables to select the
items (SKUs) for a customer order. (The AS/RS presents the required SKUs to the pick up table
locations.) When the fillers have selected items for the order, they will drop off the completed
order at the packing queue. The packers will box the order and move it to the shipping queue.
From here the customer order exits the system.
The receiving order route has a similar process flow. The receiving orders are processed at the
receiving station by the inspectors/sorters. The orders then go to the inspection area and are
forwarded to the stocking queue. The “put away guys” will come to the stocking queue, move
the orders to their respective put away locations and then exit the system. (The AS/RS handles
the placing of the SKUs to their shelf locations.)
6
The following table lists the components of the model:
System Components Table
Location
Customer order pickup
Inspection table
Packing queue
Packing table
Pickup tables
Put away tables
Receiving table
Shipping queue
Stocking queue
Description
Place that customer orders enter system
Area where receiving orders are sorted and inspected.
Place that customer orders wait to be packed
Place to pack customer orders
Place where the fillers pick up shoes to fill the line items
for customer orders
Place where the put away guys drop off the received
stocks.
Location where replenishing orders are received
Place where customer orders wait to be shipped
Place where receiving order line items (SKUs) wait to be
put away
Arrival/Process/Wait
Time (min)
N(0.75, 0.25)
N(5,1)
N(0.75,0.25)
N(2.5,0.5)
N(0.75,0.25)
N(5,0.5)
NA
NA
N(2,0.5)
Entities
Customer Orders
Receiving Orders
Resource
Fillers
Packers
Inspectors/Sorters
Put way guys
Forms that transmit customer shoes (SKUs) request
Forms that provide information about the SKUs received.
E(0.75)
E(0.75)
Workers who fill the customer orders
Workers who box the customer orders and move them to
the shipping area
Workers who inspect, sort and move the receiving orders
the stocking queue
Workers who put away the received stocks (SKUs)
NA
NA
7
NA
NA
The diagram below illustrates the flow of the receiving and customer orders:
Verification
Initially, we found several syntax errors, which terminated the running of the program. For
example, we misspelled the variable name. These errors were easy to detect since the program
helped us to identify them. After fixing all the syntax errors, we watched the model animation
and found that the model process flows were as expected. However, detecting semantic errors
was more challenging and required more debugging time. When determining the reasonableness
of the output, we realized that the output did not come out as expected. One of the major logic
errors was found in our customer order and receiving line items program coding. This resulted
in the misuse of the random command as well as calculation errors. In our final step of the
debugging process, we utilized the trace output function in ProModel to step through the
program and verified the proper behavior of the program.
8
Validation
The validation process was begun by again watching the behavior of the animation. The values
of the counters were scrutinized for their proper performance. When we increased or decreased
the customer/receiving orders, the counters (outputs) responded as expected in the correct
direction. For example, when the customer order arrival rate was decreased to 0.75
minutes/order from 4 minutes/order, the number of shoes shipped increased accordingly. To
validate our methodology, demo ProModel programs were used to confirm the modeling
techniques for warehouse flow.
Performance Metrics
The performance of this model is measured by following three metrics:
1. Resource utilization- our goal is to achieve at least 80% utilization for all the resources.
Therefore, we ran iterations of the program until the numbers of fillers, packers, put away
guys, and inspectors/sorters met the utilization goal.
2. Inventory level- the warehouse inventory is required to maintain approximately 6000
pairs of shoes.
3. Number of shipped shoes per day- the warehouse shipping rate requirement is 7000 to
8000 pairs per day.
Discussion of Results
After running several iterations, the model results show that resource utilization of at least 80%
is reached when the resources are at the level listed below:
Resource
Fillers
Packers
Put away guys
Inspectors/Sorters
Number of Unit
5
5
17
9
Average
83.54
82.44
85.70
80.61
Utilization %
Standard Deviation
1.84
1.89
2.29
1.80
After running 10 replications of our model for 24 hours each, the warehouse average inventory
level is 5,738 (39.1 std. dev.) pairs of shoes, which met our above requirement. Our output
satisfied the requirement with a shipping rate of 7,656 (166.4 std. dev.) pairs per 24 hours of
operation.
9
Conclusion and Recommendation
In conclusion, the model was verified, validated and the model output satisfied the performance
metrics. A storage area was designed to accommodate the present inventory demands. The
current model layout and assigned resources are capable of meeting today’s requirements.
Before actually building a real warehouse, we would recommend performing a study to consider
the possibility of increasing throughput capacity in the future. It is also recommended that a
cost analysis on the project be done.
10
Appendix A – Model Program Listing
********************************************************************************
*
*
*
Formatted Listing of Model:
*
*
A:\MANPOW~2.MOD
*
*
*
********************************************************************************
Time Units:
Distance Units:
Minutes
Feet
********************************************************************************
*
Locations
*
********************************************************************************
Name
--------------------Put_Away_Table1
Put_Away_Table2
Put_Away_Table3
Put_Away_Table4
Pick_Up_Table1
Pick_Up_Table2
Pick_Up_Table3
Pick_Up_Table4
Packing_Queue
Stocking_Queue
Inspection_Table
Receiving
Packing_Table
Shipping_Queue
Customer_Order_Pickup
Cap
-------10
10
10
10
10
10
10
10
INFINITE
INFINITE
INF
inf
INF
INFINITE
INF
Units
----1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Stats
----------Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Rules
Cost
-------------- -----------Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, FIFO,
Oldest, FIFO,
Oldest, ,
Oldest, ,
Oldest, ,
Oldest, FIFO,
Oldest, ,
********************************************************************************
*
Entities
*
********************************************************************************
Name
--------------Customer_Order
Receiving_Order
Speed (fpm)
-----------150
150
Stats
Cost
----------- -----------Time Series
Time Series
11
********************************************************************************
*
Resources
*
********************************************************************************
Res
Name
Units Stats
Search
---------------- ----- -------- -----Fillers
5
By Unit None
Ent
Search Path
Motion
Cost
------ ---------- -------------- -----------Oldest
Empty: 150 fpm
Full: 150 fpm
Packers
5
By Unit
None
Oldest
Empty: 150 fpm
Full: 150 fpm
InspectorSorters 9
By Unit
None
Oldest
Empty: 150 fpm
Full: 150 fpm
Putawayguys
By Unit
None
Oldest
Empty: 150 fpm
Full: 150 fpm
17
********************************************************************************
*
Processing
*
********************************************************************************
Process
Routing
Entity
Location
Operation
Blk Output
Destination
Rule
--------------- --------------------- --------------------- --------------- ---------------- ---------------------Customer_Order Customer_Order_Pickup # Quantity per line item
INC Number_of_C_order
C_Order_Line1=Rand(4)
C_Order_Line1=Round(C_Order_Line1)
AA=4-C_Order_Line1
If AA=0 then
{C_Order_Line2 = 0
C_Order_Line3 = 0
C_Order_Line4 = 0}
Else
{C_Order_Line2 = Rand(AA)
C_Order_Line2 = Round(C_Order_Line2)
BB = 4 - (C_Order_Line1+ C_Order_Line2)}
IF BB = 0 THEN
{C_Order_Line3 =0
C_Order_Line4 =0}
ELSE
{C_Order_Line3 =Rand(BB)
C_Order_Line3 = Round(C_Order_Line3)
12
Move Logic
------------
CC= 4-(C_Order_Line1+ C_Order_Line2 + C_Order_Line3)}
If CC = 0 Then
{C_Order_Line4 = 4}
Else
{C_Order_Line4 = 4 - (C_Order_Line1+C_Order_Line2+C_Order_Line3)}
1
Customer_Order
Pick_Up_Table1
Pick_Up_Table2
Customer_Order
Pick_Up_Table3
Customer_Order
Pick_Up_Table4
Customer_Order
Customer_Order
Packing_Queue
Packing_Table
Customer_Order Shipping_Queue
Receiving_Order Receiving
Pick_Up_Table1
IF C_Order_Line1 >0, 1
MOVE WITH FILLERS FOR 0.5 MIN
Customer_Order
Pick_Up_Table2
IF C_Order_Line2 >0
MOVE WITH FILLERS FOR 0.5 MIN
Customer_Order
Pick_Up_Table3
IF C_Order_Line3 >0
MOVE WITH FILLERS FOR 0.5 MIN
Customer_Order
Pick_Up_Table4
IF C_Order_Line4 >0
MOVE WITH FILLERS FOR 0.5 MIN
WAIT N(.75, 0.25)
AISLE1_INVENTORY = AISLE1_INVENTORY - C_ORDER_LINE1 + R_ORDER_LINE1
1
Customer_Order
Customer_Order
Customer_Order
Customer_Order
Customer_Order
Pick_Up_Table2
Pick_Up_Table3
Pick_Up_Table4
IF C_Order_Line2 >0, 1
IF C_Order_Line3 >0
IF C_Order_Line4 >0
MOVE WITH FILLERS FOR 0.5 MIN
MOVE WITH FILLERS FOR 0.5 MIN
MOVE WITH FILLERS FOR 0.5 MIN
WAIT N(.75, 0.25)
AISLE2_INVENTORY = AISLE2_INVENTORY - C_ORDER_LINE2 + R_ORDER_LINE2
1
Customer_Order Pick_Up_Table3
IF C_Order_Line3 >0, 1 MOVE WITH FILLERS
Customer_Order Pick_Up_Table4
IF C_Order_Line4 >0
MOVE WITH FILLERS
WAIT N(.75, 0.25)
AISLE3_INVENTORY = AISLE3_INVENTORY-C_ORDER_LINE3 +R_ORDER_LINE3
1
Customer_Order Pick_Up_Table4
FIRST 1
MOVE WITH FILLERS
WAIT N(.75, 0.25)
AISLE4_INVENTORY = AISLE4_INVENTORY-C_ORDER_LINE4 +R_ORDER_LINE4
INVENTORY_GRAND_TOTAL = AISLE1_INVENTORY + AISLE2_INVENTORY +AISLE3_INVENTORY + AISLE4_INVENTORY
PAIRS_SHIPPED =PAIRS_SHIPPED+ C_ORDER_LINE1+C_ORDER_LINE2+C_ORDER_LINE3+C_ORDER_LINE4
1
Customer_Order Packing_Queue
FIRST 1
MOVE WITH FILLERS
WAIT N(.75,0.25)
1
Customer_Order Packing_Table
FIRST 1
MOVE WITH PACKERS
WAIT N(2.5,.5)
1
Customer_Order Shipping_Queue
FIRST 1
MOVE WITH PACKERS
1
Customer_Order EXIT
# Quantity per line item
INC Number_of_receiving_order
R_Order_Line1=Rand(4)
R_Order_Line1=Round(R_Order_Line1)
RR1=4-R_Order_Line1
If RR1=0 then
{R_Order_Line2 = 0
R_Order_Line3 = 0
R_Order_Line4 = 0}
Else
{R_Order_Line2 = Rand(RR1)
R_Order_Line2 = Round(R_Order_Line2)
RR2 = 4 - (R_Order_Line1+ R_Order_Line2)}
IF RR2 = 0
THEN
13
FIRST 1
FOR 0.5 MIN
FOR 0.5 MIN
FOR 0.5 MIN
FOR 0.5 MIN THEN FREE
FOR 0.5 MIN
FOR 0.25 MIN THEN FREE
{R_Order_Line3 =0
R_Order_Line4 =0}
ELSE
{R_Order_Line3 =Rand(RR2)
R_Order_Line3 = Round(R_Order_Line3)
RR3= 4-(R_Order_Line1+ R_Order_Line2 + R_Order_Line3)}
If RR3 = 0 Then
{R_Order_Line4 = 4}
Else
{R_Order_Line4 = 4 - (R_Order_Line1+R_Order_Line2+R_Order_Line3)}
1
Receiving_Order Inspection_Table FIRST 1
Receiving_Order Inspection_Table
Receiving_Order Stocking_Queue
WAIT N(5,1)
WAIT N(2,0.5)
1
1
Receiving_Order Put_Away_Table1
WAIT N(5,0.5)
1
Receiving_Order Put_Away_Table2
WAIT N(5,0.5)
1
Receiving_Order Put_Away_Table3
Receiving_Order Put_Away_Table4
WAIT N(5,0.5)
WAIT N(5,0.5)
FREE PUTAWAYGUYS
1
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Receiving_Order
Stocking_Queue
Put_Away_Table1
Put_Away_Table2
Put_Away_Table3
Put_Away_Table4
Put_Away_Table2
Put_Away_Table3
Put_Away_Table4
Put_Away_Table3
Put_Away_Table4
Put_Away_Table4
1
Receiving_Order EXIT
FIRST 1
IF R_Order_Line1
IF R_Order_Line2
IF R_Order_Line3
IF R_Order_Line4
IF R_Order_Line2
IF R_Order_Line3
IF R_Order_Line4
IF R_Order_Line3
IF R_Order_Line4
FIRST 1
FIRST 1
********************************************************************************
*
Arrivals
*
********************************************************************************
Entity
--------------Customer_Order
Receiving_Order
Location
--------------------Customer_Order_Pickup
Receiving
Qty each
First Time
---------- ---------1
1
Occurrences
----------INF
inf
Frequency Logic
---------- -----------E(0.75)
E(0.75)
********************************************************************************
*
Variables (global)
*
********************************************************************************
ID
------------------------C_Order_Line1
C_Order_Line2
C_Order_Line3
C_Order_Line4
AA
BB
CC
Aisle1_Inventory
Type
-----------Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Initial value
------------0
0
0
0
0
0
0
1500
Stats
----------Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
Time Series
14
MOVE WITH INSPECTORSORTERS FOR 0.5 MIN
>0, 1
>0
>0
>0
>0, 1
>0
>0
>0, 1
>0
MOVE
MOVE
MOVE
MOVE
MOVE
MOVE
MOVE
MOVE
MOVE
MOVE
MOVE
WITH
WITH
WITH
WITH
WITH
WITH
WITH
WITH
WITH
WITH
WITH
INSPECTORSORTERS FOR 0.5 MIN THEN FREE
PUTAWAYGUYS FOR 0.5 MIN
PUTAWAYGUYS FOR 0.5 MIN
PUTAWAYGUYS FOR 0.5 MIN
PUTAWAYGUYS FOR 0.5MIN THEN FREE
PUTAWAYGUYS FOR 0.5 MIN
PUTAWAYGUYS FOR 0.5 MIN
PUTAWAYGUYS FOR 0.5 MIN THEN FREE
PUTAWAYGUYS FOR 0.5 MIN
PUTAWAYGUYS FOR 0.5 MIN THEN FREE
PUTAWAYGUYS FOR 0.5 MIN
Aisle2_Inventory
Aisle3_Inventory
Aisle4_Inventory
Inventory_Grand_Total
R_Order_Line1
R_Order_Line2
R_Order_Line3
R_Order_Line4
RR1
RR2
RR3
Number_of_receiving_order
Number_of_C_order
Pairs_shipped
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
Integer
1500
1500
1500
6000
0
0
0
0
0
0
0
0
0
0
Time
Time
Time
Time
Time
Time
Time
Time
Time
Time
Time
Time
Time
Time
Series
Series
Series
Series
Series
Series
Series
Series
Series
Series
Series
Series
Series
Series
15
Appendix B – Model Output
-------------------------------------------------------------------------------General Report
Output from A:\MANPOW~2.MOD [WHModel]
Date: Dec/17/2000
Time: 07:05:18 PM
-------------------------------------------------------------------------------Scenario
: Normal Run
Replication
: Average
Period
: Final Report (0 sec to 24 hr Elapsed: 24 hr)
Simulation Time : 24 hr
-------------------------------------------------------------------------------LOCATIONS
Location
Name
--------------------Put Away Table1
Put Away Table1
Put Away Table2
Put Away Table2
Put Away Table3
Put Away Table3
Put Away Table4
Put Away Table4
Pick Up Table1
Pick Up Table1
Pick Up Table2
Pick Up Table2
Pick Up Table3
Pick Up Table3
Pick Up Table4
Pick Up Table4
Packing Queue
Packing Queue
Stocking Queue
Stocking Queue
Inspection Table
Inspection Table
Receiving
Receiving
Packing Table
Packing Table
Shipping Queue
Shipping Queue
Customer Order Pickup
Customer Order Pickup
Scheduled
Hours
--------24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
Capacity
-------10
0
10
0
10
0
10
0
10
0
10
0
10
0
10
0
999999
0
999999
0
999999
0
999999
0
999999
0
999999
0
999999
0
Total
Entries
------1452.3
46.3682
1031.3
40.5217
634.1
27.7547
1891.7
42.298
1442.2
33.6214
1033.2
37.6646
591.9
45.4275
1915.6
41.7751
1913.5
41.9821
1910.6
41.7724
1918.2
40.7616
1919.1
40.7798
1911.7
41.6361
1907.6
41.7112
1922.2
38.424
Average
Minutes
Per Entry
--------5.208821
0.035307
5.275512
0.034613
5.370544
0.036263
4.991695
0.014138
0.751420
0.004809
0.752430
0.004289
0.749977
0.010845
0.747984
0.003994
1.300516
0.139542
4.562805
1.188845
4.992235
0.017024
0.765836
0.169604
2.671312
0.010583
0.149997
0.000009
1.535371
0.319125
Average
Contents
---------5.25344
0.175481
3.77809
0.146958
2.36519
0.111712
6.55754
0.149629
0.752598
0.0195523
0.53991
0.0211273
0.308373
0.0253336
0.995023
0.0222306
1.73025
0.213964
6.05287
1.60443
6.6502
0.14994
1.02346
0.238361
3.54646
0.0836064
0.198704
0.00434603
2.05192
0.43875
Maximum
Contents
-------10
0
10
0
10
0
10
0
4.9
0.316228
4.8
0.421637
4.7
0.483046
5
0
9.1
1.44914
27.9
8.5173
9
0
12.4
2.45855
5
0
2
0
16.9
3.92853
16
Current
Contents
-------5.3
2.35938
3.4
2.67499
3.2
1.68655
5.5
2.54951
0.9
0.994429
0.9
1.1005
0.4
0.699206
1.5
1.2693
1.8
1.22927
6.1
3.87155
7.2
1.61933
0.9
2.5144
3.5
1.17851
0.1
0.316228
3.9
5.83952
% Util
-----52.53
1.75
37.78
1.47
23.65
1.12
65.58
1.50
7.53
0.20
5.40
0.21
3.08
0.25
9.95
0.22
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
1.99
0.04
0.00
0.00
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
LOCATION STATES BY PERCENTAGE (Multiple Capacity)
Location
Name
--------------------Put Away Table1
Put Away Table1
Put Away Table2
Put Away Table2
Put Away Table3
Put Away Table3
Put Away Table4
Put Away Table4
Pick Up Table1
Pick Up Table1
Pick Up Table2
Pick Up Table2
Pick Up Table3
Pick Up Table3
Pick Up Table4
Pick Up Table4
Packing Queue
Packing Queue
Stocking Queue
Stocking Queue
Inspection Table
Inspection Table
Receiving
Receiving
Packing Table
Packing Table
Shipping Queue
Shipping Queue
Customer Order Pickup
Customer Order Pickup
Scheduled
Hours
--------24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
%
Empty
----2.71
0.54
10.63
1.63
30.72
2.65
1.88
0.17
45.92
1.11
60.40
1.46
77.59
1.43
38.40
0.85
23.17
1.90
3.23
0.68
0.12
0.10
68.42
3.88
1.76
0.23
80.14
0.43
50.18
4.37
%
Partially
Occupied
--------89.41
1.13
86.29
1.59
68.08
2.82
83.55
1.28
54.08
1.11
39.60
1.46
22.41
1.43
61.60
0.85
76.83
1.90
96.77
0.68
99.88
0.10
31.58
3.88
98.24
0.23
19.86
0.43
49.82
4.37
%
Full
----7.88
1.26
3.09
1.02
1.21
0.48
14.58
1.35
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
%
Down
---0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
RESOURCES
Resource
Name
-----------------Fillers.1
Fillers.1
Fillers.2
Fillers.2
Units
----1
0
1
0
Scheduled
Hours
--------24
0
24
0
Number
Of Times
Used
-------385.3
11.6909
379.6
7.60409
Average
Minutes
Per
Usage
--------3.123808
0.047500
3.167553
0.043377
% Util
-----83.56
1.86
83.50
1.84
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
17
Fillers.3
Fillers.3
Fillers.4
Fillers.4
Fillers.5
Fillers.5
Fillers
Fillers
Packers.1
Packers.1
Packers.2
Packers.2
Packers.3
Packers.3
Packers.4
Packers.4
Packers.5
Packers.5
Packers
Packers
InspectorSorters.1
InspectorSorters.1
InspectorSorters.2
InspectorSorters.2
InspectorSorters.3
InspectorSorters.3
InspectorSorters.4
InspectorSorters.4
InspectorSorters.5
InspectorSorters.5
InspectorSorters.6
InspectorSorters.6
InspectorSorters.7
InspectorSorters.7
InspectorSorters.8
InspectorSorters.8
InspectorSorters.9
InspectorSorters.9
InspectorSorters
InspectorSorters
Putawayguys.1
Putawayguys.1
Putawayguys.2
Putawayguys.2
Putawayguys.3
Putawayguys.3
Putawayguys.4
Putawayguys.4
Putawayguys.5
Putawayguys.5
Putawayguys.6
1
0
1
0
1
0
5
0
1
0
1
0
1
0
1
0
1
0
5
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
9
0
1
0
1
0
1
0
1
0
1
0
1
24
0
24
0
24
0
120
0
24
0
24
0
24
0
24
0
24
0
120
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
216
0
24
0
24
0
24
0
24
0
24
0
24
386.3
8.01457
385.1
9.19481
382
9.58007
1918.3
41.756
382.6
10.4265
381.1
8.15748
382.6
8.83428
382.6
8.0719
382.8
9.31904
1911.7
41.6361
212.7
5.2079
213.1
6.57352
213.7
4.02906
212.9
4.5326
211.9
6.29727
213
4.59468
213.1
5.70477
214.4
3.53396
213.4
6.13188
1918.2
40.7616
113.2
5.63323
111.6
6.0406
112.2
7.43565
112.8
5.71159
110.5
5.54276
109.5
3.114737
0.046391
3.123451
0.047938
3.151451
0.052731
3.135739
0.033531
3.103154
0.034333
3.115439
0.035560
3.102541
0.021111
3.102618
0.032731
3.101257
0.024796
3.104768
0.011864
5.459187
0.058015
5.446817
0.078550
5.430150
0.063941
5.452346
0.056605
5.479452
0.066076
5.450086
0.081677
5.446875
0.092306
5.418001
0.078343
5.441136
0.060353
5.446268
0.016677
10.914270
0.443578
11.089624
0.664176
11.039457
0.712740
10.956321
0.436786
11.184752
0.507750
11.297640
83.55
1.84
83.52
1.86
83.58
1.81
83.54
1.84
82.44
1.89
82.45
1.89
82.43
1.88
82.43
1.88
82.44
1.89
82.44
1.89
80.63
1.80
80.58
1.79
80.58
1.79
80.61
1.81
80.61
1.78
80.61
1.78
80.59
1.78
80.67
1.85
80.62
1.83
80.61
1.80
85.67
2.32
85.72
2.27
85.71
2.30
85.69
2.24
85.68
2.36
85.78
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
18
Putawayguys.6
Putawayguys.7
Putawayguys.7
Putawayguys.8
Putawayguys.8
Putawayguys.9
Putawayguys.9
Putawayguys.10
Putawayguys.10
Putawayguys.11
Putawayguys.11
Putawayguys.12
Putawayguys.12
Putawayguys.13
Putawayguys.13
Putawayguys.14
Putawayguys.14
Putawayguys.15
Putawayguys.15
Putawayguys.16
Putawayguys.16
Putawayguys.17
Putawayguys.17
Putawayguys
Putawayguys
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
1
0
17
0
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
408
0
4.19656
115.4
4.14193
113.2
6.89283
111.9
5.56677
109.8
5.90292
113
4.85341
114.9
3.63471
113.8
3.48967
110.1
5.04315
113.3
9.16576
109.6
5.50151
109.7
5.59861
1904.5
41.7619
0.550966
10.696803
0.245012
10.930430
0.504853
11.061118
0.760539
11.265676
0.534138
10.934753
0.469275
10.754893
0.595486
10.841834
0.369481
11.224723
0.385623
10.935217
0.664959
11.286662
0.600462
11.281082
0.694836
11.017171
0.233971
2.20
85.68
2.30
85.73
2.32
85.70
2.33
85.73
2.26
85.69
2.26
85.69
2.28
85.63
2.29
85.72
2.30
85.67
2.25
85.73
2.25
85.73
2.38
85.70
2.29
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
RESOURCE STATES BY PERCENTAGE
Resource
Name
-----------------Fillers.1
Fillers.1
Fillers.2
Fillers.2
Fillers.3
Fillers.3
Fillers.4
Fillers.4
Fillers.5
Fillers.5
Fillers
Fillers
Packers.1
Packers.1
Packers.2
Packers.2
Packers.3
Packers.3
Packers.4
Scheduled
Hours
--------24
0
24
0
24
0
24
0
24
0
120
0
24
0
24
0
24
0
24
%
In Use
-----83.56
1.86
83.50
1.84
83.55
1.84
83.52
1.86
83.58
1.81
83.54
1.84
82.44
1.89
82.45
1.89
82.43
1.88
82.43
%
Idle
----16.44
1.86
16.50
1.84
16.45
1.84
16.48
1.86
16.42
1.81
16.46
1.84
17.56
1.89
17.55
1.89
17.57
1.88
17.57
%
Down
---0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
19
Packers.4
Packers.5
Packers.5
Packers
Packers
InspectorSorters.1
InspectorSorters.1
InspectorSorters.2
InspectorSorters.2
InspectorSorters.3
InspectorSorters.3
InspectorSorters.4
InspectorSorters.4
InspectorSorters.5
InspectorSorters.5
InspectorSorters.6
InspectorSorters.6
InspectorSorters.7
InspectorSorters.7
InspectorSorters.8
InspectorSorters.8
InspectorSorters.9
InspectorSorters.9
InspectorSorters
InspectorSorters
Putawayguys.1
Putawayguys.1
Putawayguys.2
Putawayguys.2
Putawayguys.3
Putawayguys.3
Putawayguys.4
Putawayguys.4
Putawayguys.5
Putawayguys.5
Putawayguys.6
Putawayguys.6
Putawayguys.7
Putawayguys.7
Putawayguys.8
Putawayguys.8
Putawayguys.9
Putawayguys.9
Putawayguys.10
Putawayguys.10
Putawayguys.11
Putawayguys.11
Putawayguys.12
Putawayguys.12
Putawayguys.13
Putawayguys.13
0
24
0
120
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
216
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
24
0
1.88
82.44
1.89
82.44
1.89
80.63
1.80
80.58
1.79
80.58
1.79
80.61
1.81
80.61
1.78
80.61
1.78
80.59
1.78
80.67
1.85
80.62
1.83
80.61
1.80
85.67
2.32
85.72
2.27
85.71
2.30
85.69
2.24
85.68
2.36
85.78
2.20
85.68
2.30
85.73
2.32
85.70
2.33
85.73
2.26
85.69
2.26
85.69
2.28
85.63
2.29
1.88
17.56
1.89
17.56
1.89
19.37
1.80
19.42
1.79
19.42
1.79
19.39
1.81
19.39
1.78
19.39
1.78
19.41
1.78
19.33
1.85
19.38
1.83
19.39
1.80
14.33
2.32
14.28
2.27
14.29
2.30
14.31
2.24
14.32
2.36
14.22
2.20
14.32
2.30
14.27
2.32
14.30
2.33
14.27
2.26
14.31
2.26
14.31
2.28
14.37
2.29
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
20
Putawayguys.14
Putawayguys.14
Putawayguys.15
Putawayguys.15
Putawayguys.16
Putawayguys.16
Putawayguys.17
Putawayguys.17
Putawayguys
Putawayguys
24
0
24
0
24
0
24
0
408
0
85.72
2.30
85.67
2.25
85.73
2.25
85.73
2.38
85.70
2.29
14.28
2.30
14.33
2.25
14.27
2.25
14.27
2.38
14.30
2.29
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
FAILED ARRIVALS
Entity
Name
--------------Customer Order
Customer Order
Receiving Order
Receiving Order
Location
Name
--------------------Customer Order Pickup
Customer Order Pickup
Receiving
Receiving
Total
Failed
-----0
0
0
0
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
ENTITY ACTIVITY
Entity
Name
--------------Customer Order
Customer Order
Receiving Order
Receiving Order
Total
Exits
------1907.5
41.7406
1886.2
43.7259
Current
Quantity
In System
--------14.7
6.54981
32.9
7.47514
Average
Minutes
In
System
--------9.225868
0.410928
25.173054
1.366876
Average
Minutes
In Move
Logic
-------3.369252
0.288661
2.268992
0.213161
Average
Minutes
Wait For
Res, etc.
--------0.295836
0.120367
2.197917
1.169121
Average
Minutes
In
Operation
--------5.349205
0.022865
20.187504
0.147979
ENTITY STATES BY PERCENTAGE
Entity
Name
--------------Customer Order
Customer Order
Receiving Order
Receiving Order
%
In Move
Logic
------36.46
1.61
9.01
0.67
%
Wait For
Res, etc.
--------3.18
1.17
8.54
4.08
%
In Operation
-----------58.08
2.51
80.38
3.90
%
Blocked
------2.27
0.61
2.07
0.20
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
VARIABLES
Average
21
Average
Minutes
Blocked
-------0.211574
0.067214
0.518641
0.037998
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
Variable
Name
------------------------C Order Line1
C Order Line1
C Order Line2
C Order Line2
C Order Line3
C Order Line3
C Order Line4
C Order Line4
AA
AA
BB
BB
CC
CC
Aisle1 Inventory
Aisle1 Inventory
Aisle2 Inventory
Aisle2 Inventory
Aisle3 Inventory
Aisle3 Inventory
Aisle4 Inventory
Aisle4 Inventory
Inventory Grand Total
Inventory Grand Total
R Order Line1
R Order Line1
R Order Line2
R Order Line2
R Order Line3
R Order Line3
R Order Line4
R Order Line4
RR1
RR1
RR2
RR2
RR3
RR3
Number of receiving order
Number of receiving order
Number of C order
Number of C order
Pairs shipped
Pairs shipped
Total
Changes
------3844.4
76.8479
3844.4
76.8479
3844.4
76.8479
1922.2
38.424
1922.2
38.424
1922.2
38.424
1922.2
38.424
1441.3
33.4599
1032.3
38.3233
591.5
45.7025
1914.1
41.5971
1914.1
41.5971
3838.2
81.5595
3838.2
81.5595
3838.2
81.5595
1919.1
40.7798
1919.1
40.7798
1919.1
40.7798
1919.1
40.7798
1919.1
40.7798
1922.2
38.424
1914.1
41.5971
Minutes
Per Change
---------0.374525
0.007306
0.374525
0.007306
0.374525
0.007306
0.749050
0.014612
0.749050
0.014612
0.749050
0.014612
0.749050
0.014612
0.998753
0.022466
1.395714
0.053436
2.439805
0.191716
0.752318
0.016347
0.752318
0.016347
0.375215
0.008065
0.375215
0.008065
0.375215
0.008065
0.750430
0.016130
0.750430
0.016130
0.750430
0.016130
0.750430
0.016130
0.750430
0.016130
0.749050
0.014612
0.752318
0.016347
Minimum
Value
------0
0
0
0
0
0
0
0
0
0
0
0
0
0
1302.6
75.0144
1279.4
67.3155
1361.3
34.9668
1434.1
47.0259
5448.6
59.4983
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Maximum
Value
------3
0
3
0
3
0
4
0
4
0
4
0
4
0
1524.7
12.0835
1508.1
10.9489
1501.2
1.47573
1548.1
48.606
6007
11.0252
3
0
3
0
3
0
4
0
4
0
4
0
4
0
1919.1
40.7798
1922.2
38.424
7656.4
166.389
Current
Value
-------1.7
1.1595
0.7
0.823273
0.6
0.843274
1
0
2.3
1.1595
1.6
0.843274
1
0
1324.6
78.9292
1285.5
67.6005
1363.4
36.05
1480.6
85.301
5454.6
59.3543
1
1.24722
1.1
1.1005
0.3
0.483046
1.6
0.843274
3
1.24722
1.9
1.1005
1.6
0.843274
1919.1
40.7798
1922.2
38.424
7656.4
166.389
Average
Value
--------1.5029
0.0300971
0.760327
0.0335061
0.369903
0.0343797
1.36504
0.0241146
2.49527
0.0297928
1.73495
0.0395944
1.36504
0.0241146
1420.56
43.5337
1395.14
49.4724
1429.6
22.8533
1492.48
40.9793
5737.96
39.1328
1.49734
0.0240776
0.747844
0.0257622
0.37761
0.0139905
1.37513
0.028033
2.50059
0.0239198
1.75274
0.0263904
1.37513
0.028033
955.13
30.2412
967.282
24.0916
3846.64
95.6109
22
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
(Average)
(Std. Dev.)
Appendix C – Copy of Case 3 from Harrell (pages 371-373)
23
24
25
Appendix D-Sample of Output Trace
Trace Model: A:\Warehouse Project\ManpowerReduction2.MOD
00:00.0 Trace Start
00:00.4 1 Receiving_Order scheduled to arrive at Receiving.
00:00.4 Receiving_Order arrives at Receiving.
00:00.4 For Receiving_Order at Receiving:
00:00.4
Receiving_Order enters Receiving.
00:00.4
Int: Number_of_receiving_order = 1 (old value = 0)
00:00.4
Int: R_Order_Line1 = 1 (old value = 0)
00:00.4
Int: R_Order_Line1 = 1 (old value = 1)
00:00.4
Int: RR1 = 3 (old value = 0)
00:00.4
Int: R_Order_Line2 = 1 (old value = 0)
00:00.4
Int: R_Order_Line2 = 1 (old value = 1)
00:00.4
Int: RR2 = 2 (old value = 0)
00:00.4
Int: R_Order_Line3 = 1 (old value = 0)
00:00.4
Int: R_Order_Line3 = 1 (old value = 1)
00:00.4
Int: RR3 = 1 (old value = 0)
00:00.4
Int: R_Order_Line4 = 1 (old value = 0)
00:00.4
Select route from route block #1; output quantity is 1.
00:00.4 For Receiving_Order at Receiving:
00:00.4
Inspection_Table is selected for routing.
00:00.4
The main entity is routed out as Receiving_Order.
00:00.4
Output is named as Receiving_Order.
00:00.4 Receiving_Order at Receiving picked up by InspectorSorters.1.
00:00.4
Start move to Inspection_Table.
00:00.4 For Receiving_Order at Receiving:
00:00.4
Process completed.
00:00.4
Release the captured capacity.
00:00.4 InspectorSorters.1 arrives at Inspection_Table.
00:00.4 Receiving_Order is dropped off at Inspection_Table by
InspectorSorters.1.
00:00.4 InspectorSorters.1 is kept by Receiving_Order.
00:00.4 Receiving_Order arrives at Inspection_Table.
00:00.4 For Receiving_Order at Inspection_Table:
00:00.4
Receiving_Order enters Inspection_Table.
00:00.4
Wait 4.6 Min.
00:00.7 1 Customer_Order scheduled to arrive at Customer_Order_Pickup.
00:00.7 Customer_Order arrives at Customer_Order_Pickup.
00:00.7 For Customer_Order at Customer_Order_Pickup:
00:00.7
Customer_Order enters Customer_Order_Pickup.
00:00.7
Int: Number_of_C_order = 1 (old value = 0)
00:00.7
Int: C_Order_Line1 = 1 (old value = 0)
00:00.7
Int: C_Order_Line1 = 1 (old value = 1)
00:00.7
Int: AA = 3 (old value = 0)
00:00.7
Int: C_Order_Line2 = 1 (old value = 0)
00:00.7
Int: C_Order_Line2 = 1 (old value = 1)
00:00.7
Int: BB = 2 (old value = 0)
00:00.7
Int: C_Order_Line3 = 1 (old value = 0)
00:00.7
Int: C_Order_Line3 = 1 (old value = 1)
00:00.7
Int: CC = 1 (old value = 0)
00:00.7
Int: C_Order_Line4 = 1 (old value = 0)
00:00.7
Select route from route block #1; output quantity is 1.
00:00.7 For Customer_Order at Customer_Order_Pickup:
00:00.7
Pick_Up_Table1 is selected for routing.
00:00.7
The main entity is routed out as Customer_Order.
00:00.7
Output is named as Customer_Order.
26
References
Banks, Jerry ed. [1998], Handbook of Simulation Principles, Methodology, Advances,
Applications, and Practice, 1st ed., John Wiley & Sons, Inc., New York, NY. Pgs 571-591.
Harrell, C., B.K. Ghosh and R. Bowden [2000], Simulation Using ProModel, 3rd ed., McGraw
Hill. Boston, MA.
Lee Heungsoon F. [1997]. “Performance Analysis for Automated Storage and Retrieval
Systems”. IIE Transactions. 29, 15-28.
Olson, David R. [1990], Establishing Best Order Picking Practices for Your Warehouse
Operation, 1st ed., Warehouse Advisory Council.
Stock, James R. and Douglas M. Lambert [1987], Strategic Logistics Management, 2nd ed.,
Irwin, Homewood, IL. Pgs. 302-343.
Tomkins, James A. and Dale A. Harmelink, eds. [1994], The Distribution Management
Handbook, 1st ed., McGraw Hill, New York, NY. Pgs 18.11-18.27 and 27.10 – 27.25.
Witt, C.E. [1989], “Reebok’s Distribution on Fast Track”. Materials Handling Engineering.
March. 43-46.
27