National Cranberry Cooperative Data Inputs The workbook NCC.XLS allows the user to simulate operations at Receivi Input, and Output areas are as follows: The data has been specified in the form of available capacity for vari Dumpers: There are five dumpers. Each dumper takes between 5 to 10 m Wet Storage: It is assumed that all bins that can be used for wet/dry Dry Storage: It is assumed that only the bins 1-16 are currently bein Dryers: There are three dryers currently each averaging 200 bbls/hour Destoning: There are three destoning units each processing up to 1,50 Dechaffing: There are three dechaffing units each processing up to 1, Separators: There are three separators with effective capacity of 400 The inputs entered by the user are as follows: Number of dry bins to be converted for wet use (Cell E19): Enter the Number of dryers to be added (Cell E21): Enter the number of dryers t Proportion of wet berries (Cell F26): This should be a number between Hourly arrival rate of berries (Cell F28): Enter the average arrival Results The various columns in the simulation are as follows:
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Nov 03, 2014
National Cranberry analysis excel grid
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National Cranberry Cooperative
Data
Inputs
The workbook NCC.XLS allows the user to simulate operations at Receiving Plant 1 (RP1) over a 24Input, and Output areas are as follows:
The data has been specified in the form of available capacity for various stages of the processing
Dumpers: There are five dumpers. Each dumper takes between 5 to 10 minutes (averaging 7.5
Wet Storage: It is assumed that all bins that can be used for wet/dry storage (bins 17-24) are being
Dry Storage: It is assumed that only the bins 1-16 are currently being used for dry storage.
Dryers: There are three dryers currently each averaging 200 bbls/hour.
Destoning: There are three destoning units each processing up to 1,500 bbls/hour.
Dechaffing: There are three dechaffing units each processing up to 1,5000 bbls/hour.
Separators: There are three separators with effective capacity of 400 bbls/hour each.
The inputs entered by the user are as follows:
Number of dry bins to be converted for wet use (Cell E19): Enter the number of dry bins that are to
Number of dryers to be added (Cell E21): Enter the number of dryers to be added. Capacity per
Proportion of wet berries (Cell F26): This should be a number between 1 and 0 and represents the
Hourly arrival rate of berries (Cell F28): Enter the average arrival rate of berries in bbls/hour. It is
Results The various columns in the simulation are as follows: Delivered amount, dry (Column B): This is the amount of dry berries delivered in the given hour andDelivered amount, wet (Column C): This is the amount of wet berries delivered in the given hour andProcess amount, dry (Column D): This is the amount of dry berries processed in the given hour and
Process amount, wet (Column E): This is the amount of wet berries processed in the given hour andStored amount, dry (Column F): This is the amount of dry berries being stored in the dry bins at theStored amount, wet (Column G): This is the amount of wet berries being stored in the wet bins at theBackup amount, dry (Column H): This is the amount of dry berries backed up in trucks at the end ofBackup amount, wet (Column I): This is the amount of wet berries backed up in trucks at the end ofTotal backup (Column J): This is the total amount (dry as well as wet) backed up in trucks at the endThe results are also displayed on the following charting sheets: Chart1: Build up of wet berries over time in waiting trucks for 11 a.m. processing start.Chart2: Build up of dry berries over time in waiting trucks for 11 a.m. processing start.Chart3: Build up of wet berries over time in bins for 11 a.m. processing start.Chart4: Build up of dry berries over time in bins for 11 a.m. processing start.Chart5: Build up of wet berries over time in waiting trucks for 7 a.m. processing start.Chart6: Build up of dry berries over time in waiting trucks for 7 a.m. processing start.Chart7: Build up of wet berries over time in bins for 7 a.m. processing start.
Chart8: Build up of dry berries over time in bins for 7. a.m. processing start.
Revised Apr 09
The workbook NCC.XLS allows the user to simulate operations at Receiving Plant 1 (RP1) over a 24 hour period. The workbook is written using Microsoft Excel Version 5.0
The data has been specified in the form of available capacity for various stages of the processing operation. The assumed capacities and assumptions are as follows:
: There are five dumpers. Each dumper takes between 5 to 10 minutes (averaging 7.5 minutes) to unload a truck. Each truck averages 75 bbls of berries. Thus, the five dumpers together are
: It is assumed that all bins that can be used for wet/dry storage (bins 17-24) are being used exclusively for wet storage given the high proportion of berries coming in. Thus, binds 17-27 are
: It is assumed that only the bins 1-16 are currently being used for dry storage.
: There are three dryers currently each averaging 200 bbls/hour.
: There are three destoning units each processing up to 1,500 bbls/hour.
: There are three dechaffing units each processing up to 1,5000 bbls/hour.
: There are three separators with effective capacity of 400 bbls/hour each.
Number of dry bins to be converted for wet use (Cell E19): Enter the number of dry bins that are to be converted for wet/dry usage. Even though both usage is possible, the model assumes that all
: Enter the number of dryers to be added. Capacity per dryer will be based on the proportion of wet berries.
: This should be a number between 1 and 0 and represents the proportion of wet berries among the berries arriving at the plant.
: Enter the average arrival rate of berries in bbls/hour. It is assumed in the model that arrival takes place at a steady rate over a 12 hour period starting at 7 a.m.
: This is the amount of dry berries delivered in the given hour and equals (1-Proportion of wet berries) x Hourly arrival rate: This is the amount of wet berries delivered in the given hour and equals Proportion of wet berries x Hourly arrival rate
: This is the amount of dry berries processed in the given hour and equals the minimum of dry berries available and the bottleneck capacity in this hour.
: This is the amount of wet berries processed in the given hour and equals the minimum of wet berries available and the bottleneck capacity in this hour.: This is the amount of dry berries being stored in the dry bins at the end of the current hour. : This is the amount of wet berries being stored in the wet bins at the end of the current hour. : This is the amount of dry berries backed up in trucks at the end of the current hour. : This is the amount of wet berries backed up in trucks at the end of the current hour.
: This is the total amount (dry as well as wet) backed up in trucks at the end of the current hour.
: Build up of wet berries over time in waiting trucks for 11 a.m. processing start. : Build up of dry berries over time in waiting trucks for 11 a.m. processing start. : Build up of wet berries over time in bins for 11 a.m. processing start. : Build up of dry berries over time in bins for 11 a.m. processing start. : Build up of wet berries over time in waiting trucks for 7 a.m. processing start. : Build up of dry berries over time in waiting trucks for 7 a.m. processing start. : Build up of wet berries over time in bins for 7 a.m. processing start. : Build up of dry berries over time in bins for 7. a.m. processing start.
The workbook is written using Microsoft Excel Version 5.0. The details of the Data,
operation. The assumed capacities and assumptions are as follows:
minutes) to unload a truck. Each truck averages 75 bbls of berries. Thus, the five dumpers together are assumed to have a capacity of 5*75*(60/7.5) = 3,000 bbls/hour.
used exclusively for wet storage given the high proportion of berries coming in. Thus, binds 17-27 are currently being used for wet storage.
be converted for wet/dry usage. Even though both usage is possible, the model assumes that all converted bins are to be used for wet storage.
dryer will be based on the proportion of wet berries.
proportion of wet berries among the berries arriving at the plant.
assumed in the model that arrival takes place at a steady rate over a 12 hour period starting at 7 a.m. and ending at 7 p.m. Thus, if 18,000 bbls of berries arrive during the day, enter 1,500 in Cell E, since
1-Proportion of wet berries) x Hourly arrival rate. Proportion of wet berries x Hourly arrival rate.
equals the minimum of dry berries available and the bottleneck capacity in this hour.
equals the minimum of wet berries available and the bottleneck capacity in this hour.
assumed to have a capacity of 5*75*(60/7.5) = 3,000 bbls/hour.
currently being used for wet storage.
converted bins are to be used for wet storage.
and ending at 7 p.m. Thus, if 18,000 bbls of berries arrive during the day, enter 1,500 in Cell E, since
and ending at 7 p.m. Thus, if 18,000 bbls of berries arrive during the day, enter 1,500 in Cell E, since that is the average arrival rate over the 12 hour period.
Deliv. Amount Process Amount Stored Amount Backup Backup Total
Time Dry Wet Dry Wet Dry Wet Dry Wet Backup
0 0 0 0 0 0 0 0
7-8 450 1050 0 0 450 1050 #VALUE! #VALUE! ###
8-9 450 1050 0 0 #VALUE! #VALUE! #VALUE! #VALUE! ###
9-10 450 1050 0 0 #VALUE! #VALUE! #VALUE! #VALUE! ###
10-11 450 1050 0 0 #VALUE! #VALUE! #VALUE! #VALUE! ###
11-12 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
12-1 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
1-2 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
2-3 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
3-4 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
4-5 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
5-6 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
6-7 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
7-8 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
8-9 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
9-10 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
10-11 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
11-12 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
12-1 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
1-2 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
2-3 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
3-4 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
4-5 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
5-6 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
6-7 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
7-8 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
8-9 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
9-10 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
10-11 0 0 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
Berry Flow during day (processing starts at 7 am)
Deliv. Amount Process Amount Stored Amount Backup Backup Total
Time Dry Wet Dry Wet Dry Wet Dry Wet Backup
0 0 0 0 0 0 0 0
7-8 450 1050 #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! ###
8-9 450 1050 ### ### #VALUE! ### ### #VALUE! ###
9-10 450 1050 ### ### #VALUE! ### ### #VALUE! ###
10-11 450 1050 ### ### #VALUE! ### ### #VALUE! ###
11-12 450 1050 ### ### #VALUE! ### ### #VALUE! ###
12-1 450 1050 ### ### #VALUE! ### ### #VALUE! ###
1-2 450 1050 ### ### #VALUE! ### ### #VALUE! ###
2-3 450 1050 ### ### #VALUE! ### ### #VALUE! ###
3-4 450 1050 ### ### #VALUE! ### ### #VALUE! ###
4-5 450 1050 ### ### #VALUE! ### ### #VALUE! ###
5-6 450 1050 ### ### #VALUE! ### ### #VALUE! ###
6-7 450 1050 ### ### #VALUE! ### ### #VALUE! ###
7-8 0 0 ### ### #VALUE! ### ### #VALUE! ###
8-9 0 0 ### ### #VALUE! ### ### #VALUE! ###
9-10 0 0 ### ### #VALUE! ### ### #VALUE! ###
10-11 0 0 ### ### #VALUE! ### ### #VALUE! ###
11-12 0 0 ### ### #VALUE! ### ### #VALUE! ###
12-1 0 0 ### ### #VALUE! ### ### #VALUE! ###
1-2 0 0 ### ### #VALUE! ### ### #VALUE! ###
2-3 0 0 ### ### #VALUE! ### ### #VALUE! ###
3-4 0 0 ### ### #VALUE! ### ### #VALUE! ###
4-5 0 0 ### ### #VALUE! ### ### #VALUE! ###
5-6 0 0 ### ### #VALUE! ### ### #VALUE! ###
6-7 0 0 ### ### #VALUE! ### ### #VALUE! ###
Chart1
Page 11
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 280
2
4
6
8
10
12
Build up of wet berries in trucks for 11 am start
Column I
Time starting 7 am
bb
l o
f b
erri
es w
aiti
ng
in
tru
cks
Chart2
Page 12
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 280
2
4
6
8
10
12
Build up of dry berries in trucks for 11 am start
Colum...
Time starting 7 am
bb
l's o
f b
erri
es b
ackl
og
ged
Chart3
Page 13
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 280
200
400
600
800
1000
1200
Wet berries in bins for 11 am start
Colum...
Time starting 7 am
bb
l's o
f w
et b
erri
es i
n b
ins
Chart4
Page 14
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 280
50
100
150
200
250
300
350
400
450
500
Dry berries in bins for 11 am start
Column F
Time starting 7 am
bb
l's d
ry b
erri
es i
n b
ins
Chart5
Page 15
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240
2
4
6
8
10
12
Backup of wet berries in trucks for 7 am start
Column I
Time starting 7 am
bb
l's o
f w
et b
erri
es i
n t
ruck
s
Chart6
Page 16
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240
2
4
6
8
10
12
Backupof dry berries in trucks for 7 am start
Colum...
Time starting 7 am
bb
l's o
f d
ry b
erri
es i
n t
ruck
s
Chart7
Page 17
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240
2
4
6
8
10
12
Build up of wet berries in bins for 7 am start
Colum...
Time starting 7 am
bb
l's o
f w
et b
erri
es i
n b
ins
Chart8
Page 18
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240
2
4
6
8
10
12
Build up of dry berries in bins for 7 am start
Column F
Time starting 7 am
Dry
ber
ries
in
bin
s
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