JAMES YUNG DSES-6620 Simulation Modeling and Analysis Project Description: 1. ABSTRACT This report discusses and examines the results from a ProModel software simulation model of a Chinese Restaurance kitchen during the busy evening hours of Sunday night. The report and model will analyze the kitchen throughput, in term of number of meals produce, from two different workflow setup, and give suggestion for choosing the better one based on results of the simulation model. 2. OBJECTIVES The objective of this modeling exercise is to be able to simulate the operation of the Restaurance kitchen during the busy hours. The model simulation will allow examination of order received and flow process through the kitchen to draw improvement to increase the throughput of meals and to minimize the waiting time of orders from received to made for deliver. 3. SCOPE The model is limited to modeling the continuous work flow of each chef and does not take into account of the followings:  Worker break-time (rarely taken during busy hours)  Cost (fix pay per day work for every worker)  Wrong order cooked (no rework) The limitations are legitimated based on a Chinese restaurance business model. This simulation study objective only requires determining the throughput during busy hours (5pm to 8pm) when maximum demand is required from the kitchen. In a typical weekend, the orders can be divided into three different groups: Single queue with 3 different servers Three different queues to 3 different servers

Collect Data in 5 weeks period

4 hrs = 2400 min 2400 / 72.6 = 3.3 orders per min P(AP) = 55% P(MN) = 30% P(SP) = 15% Draw Input Conditions based on 5 weeks data collected from 5 pm to 8 pm:

Arrivals N ( 3.3,.3) 1 hour warm-up time 4 hrs run with 10 replications 5 min extra required to cook non-specialty meals Chef_AAP: N(5,1) SP: N(20,3) MN: N(15,2) Chef_SPAP: N(10,3) SP: N(15,1) MN: N(15,3) Chef_MNAP: N(10,2) SP: N(20,2) MN: N(10,1) Input condition:

Output: REPLICATION ANALYSIS (Sample size 10) Statistic Avg Low 95% CI High 95% CI AP - Total Changes FIFO_AP - Total Changes Main - Total Changes FIFO_MN - Total Changes QTY - Total Changes FIFO_QTY - Total Changes SP - Total Changes FIFO_SP - Total Changes Corrected number of meals cooked are the Total change value of AP, SP, MN and QTY.

REPLICATION ANALYSIS (Sample size 10) Statistic Avg Min Max AP MN QTY SP FIFO_Kitchen Throughput from 5 pm – 8pm Chefs are busy all the time

Distribute_Kitchen Throughput from 5 pm – 8pm A_CHEF - % Util M_CHEF - % Util S_CHEF - % Util REPLICATION ANALYSIS (Sample size 10) Statistic Avg Min Max AP Main QTY SP

ENTITY ACTIVITY (Time stall in the kitchen) FIFO_Kitchen Average Average Average Average Average Current Minutes Minutes Minutes Minutes Minutes Entity Total Quantity In In Move Wait For In Name Exits In System System Logic Res, etc. Operation Blocked Meal (Average) Meal (Std. Dev.) Meal A (Average) Meal A (Std. Dev.) Meal S (Average) Meal S (Std. Dev.) Meal M (Average) Meal M (Std. Dev.) DIS_Kitchen Meal (Average) Meal (Std. Dev.) Meal A (Average) Meal A (Std. Dev.) Meal S (Average) Meal S (Std. Dev.) Meal M (Average) Meal M (Std. Dev.)

1.Chefs utilization output data shows the Dis_kitchen require less work from each chef. 2.Number of meals throughput are also higher in DIS_KITCHEN than FIFO_KITCHEN. 3.Entity Activity table shows average time meal wait for process is greater in the case of FIFO_Kitchen setup.

DIS_KITCHEN Chefs Average Minute Per Entry REPLICATION ANALYSIS (Sample size 10) Statistic Avg Min Max A_CHEF - Average Minutes Per Entry M_CHEF - Average Minutes Per Entry S_CHEF - Average Minutes Per Entry Validation and Verification 1.Total change value of AP, SP, MN and QTY are the corrected number of dishes cooked 2.C.I. Calculate based on Min Max values after warm-up which is not true representation of the actual system throughput from 5 pm to 8 pm.

Average Variable Total Minutes Minimum Maximum Current Average Name Changes Per Change Value Value Value Value FIFO QTY (Average) FIFO QTY (Std. Dev.) FIFO AP (Average) FIFO AP (Std. Dev.) FIFO SP (Average) FIFO SP (Std. Dev.) FIFO MN (Average) FIFO MN (Std. Dev.) FIFO Ml (Average) FIFO Ml (Std. Dev.) QTY (Average) QTY (Std. Dev.) AP (Average) AP (Std. Dev.) SP (Average) SP (Std. Dev.) Main (Average) Main (Std. Dev.) ML (Average) ML (Std. Dev.)

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