TACO BELL’S DRIVE-THRU SIMULATION SYSTEMS MIME 4100/5100 Ethan Hoover Nelly Barbery Matt Cuthbertson HISTORY ¾ First Taco Bell’s facility FACTS ¾ Founded March 21, 1962 by Glen Bell. ¾ More than 5,800 restaurants in the U.S. ¾ Generates more than $1.8 billion in sales per year. ¾ Employs over 144,000 people. PROJECT SUMMARY 1) Introduction 2) Objective 3) Process of the system 4)Experiemental Setup 5) System Operation 6) Data collection 7) Results 8) Tactical consideration 9) Decision to the best alternative INTRODUCTION The process of Taco Bell’s drive-through was studied because of their noticeably lengthy lines at the location of Reynolds and Door Ave. in Toledo, OH. OBJECTIVE ¾ Find deficiencies in the drive-through process ¾ Accurately simulate the system using Arena software. OBJECTIVE ¾ Use results to find possible improvements in the system ¾ Find out: a. The average time in system b. The average waiting time in queue PROCESS OF THE SYSTEM ¾ Inter arrival points being consider are: 1. Entity enters the system queue and it stops at the “intercom box” 2. Entity time to place an order 3. After the order is placed, entity goes from the “ordering portal” to the server window 4. Entity at the server window 5. Entity exits the system EXPERIMENTAL SETUP ¾ Observed system to come up with a proper Arena model. z Entities- Cars going through system -Variables- size of car, quantity of food and drinks ordered, payment type, change given or not. z Resources - Ordering Intercom Box - Server Window EXPERIMENTAL SETUP z Delays - Size of order Number of cars in queue Customer delays Unexpected - Car break down, intercom malfunction, server difficulties SYSTEM OPERATION DATA COLLECTION ¾ 1. 2. 3. 4. 5. Data collected consisted of: Time study of the system (5 timings per entity) Amount of food ordered Amount of beverages ordered Type of car Type of payment a. Cash - Change/no change recieved b. Debit/Credit Card RESULTS ¾ Amount of food and drinks ordered corresponded to amount of time spent at “intercom box” and server window. ¾ Average time in system - 2.74 minutes ¾ Average waiting time between resources - 35.05 seconds RESULTS ¾ Not enough information to conclude whether payment type affected time at server window ¾ Type of car did not affect time through system RESULTS RESULTS RESULTS TACTICAL CONSIDERATION ¾ Add a second server window z Benefits • • • Increase capacity of customers per day Increased server availability Decrease amount of time it takes to go through the system z Increasing customer satisfaction ensuring future business. TACTICAL CONSIDERATIONS z Losses • Decreased server utilization • High cost to construct new window z Loss of business during construction period • Saves only seconds off of total time in system DECISION TO BEST ALTERNATIVE ¾ Keep the current system’s process Thank You ¾ Questions? ¾ Comments?
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