Engineering Homework Help

You need to submit in D2L 1 copy of the SIMIO file(s) and a copy of the report.For the report, please use the report template provided in pages 2-4.

Image a fast food vendor consisting of three different types of orders- Phone call orders, Online orders and Walk-ins. 

• Phone call orders arrive on average every 10 minutes, exponentially distributed. 
• Online orders arrive every 5 minutes exponentially distributed.
• Walk-ins arrive every 4 minutes, exponentially distributed.

Phone and Online orders go through a food prep station on the back of the store where one employee handles both type of orders. The employee prep time is normally distributed with an average of 3 minutes per order with a standard deviation of 30 seconds. When orders are ready, customers receive a text message to inform them the food is ready for pick up. Customers arrive a few minutes later to pick up their orders. The time from the moment customers receive the text message until they arrive is uniform (1, 5) minutes.

Walk-ins go through the ordering counter at the front of the store, where another employee prepares the order.This employee prep time is triangular (2, 3, 5) minutes. After prep, walk-in customers go to the cash register, where they pay for the order. In a similar way, phone orders go to the same cash register to pay for the orders.The cash register has a third employee who takes an average of 1 minute per order, exponentially distributed. Online customers already paid so they only need to pick up their orders from a designated area. All employees serve customers in a First Come-First Serve basis. 

Historically, about 10% of all orders are wrong or incomplete. Phone orders, online orders, or walk-in customers with a wrong or incomplete order enter the ordering counter at the front of the store (the one walk-in orders enter the first time) and go through the ordering process (no priority).The processing time is the same as before (triangular (2, 3, 5) minutes). They then skip the cash register and exit the system as all reworked orders are 100% accurate, and they already paid. 

The store opens at 8AM and closes at 10 PM. The store manager is interested in employees’ utilization and average time in the system for Phone call orders, Online orders, and Walk-ins (individually by type). Run the simulation model for 10 replications with no warm-up period and a 95% confidence level.  Add some animation to make it look attractive.

Homework #: Title (0.25)

Name (0.25)

I. Introduction (6)

• (1) Problem description
• (1) Assumptions
• (1) System initial state- number of entities in the system, # of servers, server status
• (1) Table summarizing the current system inputs.For example:
• (2)A flowchart or block diagram of the process. For example:

Table 1- Summary of current system inputs

  

Input

Value

 

# Entities to simulate or simulation length

Examples: 

100 entities

60 minutes

 

# of servers

 

Inter-arrival time

Note: 1 row for each entity type

Distribution

Example: Expo(25 min.)

 

Service times

Note: One row for each server class.

Distribution

Figure 1- Generic Process flow chart 

Or

Figure 2- Generic Block Diagram 

  

II. Methods (4)

• (2) Brief description on how you simulated the problem.
• (2) Include 2 print screens for each SIMIO model; one in 2D and one in 3D. For example:

Figure 3- Model 5-2 in 2D

Figure 4- Model 5-2 in 3D

III. Results (9.5)

• Summarize the outputs in your own table. 

IV. Discussion (6)

• (3) Answer the questions asked.
• (2)  Discuss      any limitation(s) of the model.
• (1) Also, include any comments or observations you      might have.

V. Conclusions (4)

• (2) What can you say from the simulation results?
• (2) If you were a consultant, what recommendations      would you make?

References

• Include      here any reference you used to help you with the problem.For example, you might include the book      here.Use the following format: 

Books: 

Montgomery, D.C., (2009) Design and Analysis of Experiments. 7th Ed. John Wiley and Sons, Inc., New York.

Journal articles:

Claudio, D., Zhang, J., and Zhang, Y. (2010) ‘A Simulation Study for a New Hybrid Inventory Control Strategy using Advance Demand Information’, International Journal of Industrial and Systems Engineering, Vol. 5, No. 1, pp. 1-19.

Note: Please note that tables are labeled on top and figures are labeled on bottom. Use only the categories of “table” and/or “figure”.Pictures, diagrams, charts, plots, etc. all fall under the “figures” category.                        https://textbook.simio.com/SASMAA/index.html