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# Method what we collect customers arrival time in

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people at the same time. Method What we collect? customer’s arrival time in Queue arrival time in the cashier departure time in the cashier What we count? average distribution for each cashier approximate percentage of balked customers in Queue 9

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Analysi s Interarrival Time Processing Time Medium Time Minimum Time Maximum Time Triangular Distribution 11

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MODEL DEVELOPMEN T 12
1 2 Assumptio ns 3 4 Every transaction is successful no matter how long it will take No cashiers break down and shifts in peak time No customer quit from Queue Manual Counter and Self Machine work without interaction 13

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Logic Diagram Customer Tolerance >=NQ? Customer Arrival Balk from System Decide in Percentage Exist System Seize Counter 1 Delay for Processing Time Release Counter 1 Seize Counter 2 Delay for Processing Time Release Counter 2 Seize Counter 3 Delay for Processing Time Release Counter 3 14 TRUE FALSE
Solution Numbe r of Queue Numbe r in Queue 15

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VERIFICATION AND VALIDATION 17

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Verification Control the entity type Control model time Control entity number 18
Validation The validation is done using the common judgement from users who are familiar with the system like the customer or staff in the supermarket. 19

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EXPERIMENT DESIGN 20
21 Identify System Classificatio n Choose Analysis Type Analyze Output Statistically Steps to design Steady-state Comparative

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22 Assume Replication Number Determine Run Length Determine Warm-up Value 30 1 hour (3600 seconds) 300 seconds Configure Total WIP in Statistical Module Run model Plot WIP of 30 replications in ARENA Output Analyzer Observe the curve for stable range of WIP value for all 30 replications Steps of statistical analysis of output
ANALYSIS AND RECOMMENDATIO N 23
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• Summer '16
• Statistics, entity, Verification, Verification and validation

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