Taco Bell

Taco Bell targets consumers, who seek low priced and convenient meals, from most age demographics, while heavily focusing on the millennials. The company positions itself as an innovative fast food restaurant with a tagline “think Outside the Bun”. The 4Ps framework below explains its retailing mix. As in product, Taco Bell provides Mexican cuisine in a fast food manner. The company serves a wide variety of Mexican traditional plates (From tacos, burritos, nachos, quesadillas, etc.). Meanwhile, it leverages the nature of Mexican cuisine and adds customization to its menu, which broadens its product mix. Apart from the customization, the company also emphasizes customer relationship management (such as the live chat system); together, the two

For the last few months, there has been a hype over a local taco joint called Torchy’s Tacos located on West McDermott in Allen. From people giving it such a positive review, I decided to give it a try. As someone who is a lover of tacos, including breakfast tacos, I knew I would be a tough critic over Torchy’s. After I went to Torchy’s twice, I decided to give it two thumbs up.

Referring to Figure 6.2.3 and 6.3.3, it was proven that our model has problems that the sample data used does not represent the whole population. Therefore, this is one of the flaws in our research. A more constructive suggestion to eliminate this problem would be to extend the research with a larger sample size with longer time horizon. And if the sample size is large enough, the time series issue can be neglected.

The industry concentration is low. The top four players in the Fast Food Restaurants industry are expected to account for 31.6% of available market share, giving this industry a low level of concentration. Given the diversity of food styles and operations, nearly 48.0% of establishments are small-business operators that have nine or fewer employees. An additional 55.0% of establishments have between 10 and 99 employees. Over time, the industry's concentration has decreased. As many of the older stalwarts lose ground to up-and-coming concepts, such as smaller chains like Chick-fil-A, as well as fast-casual concepts such as Shake Shack, are gaining ground, as sales have faltered for larger competitors. Over the past five years, there has been

7. Narragansett’s production is relatively constant throughout the year, but if its sales production were highly seasonal, could the EOQ model still be used? If so, would modifications be required? Explain.

* Last truck arrived (1140min) – First truck arrived (411min) = 729min (=1140 - 411) → 729min/60 = 12.15hrs (Total receiving time)

Taco Bell's Success Did Taco Bell’s success result from a top down or bottom-up approach to change? What situations drove this change, and what leadership approach did John Martin use? What was the old (previous) leadership style and what was its limitation? • Taco Bell’s success resulted from a top down approach to change. Along with the new organizational structure came the job position of Market Manager.

Using Little’s Formula we have done Lead Time Analysis (Exhibit 4) which shows that on an average Lead Time is approximately 2 days (2.10). As we have seen, throughput on the other hand is approximately 6 days which is much higher than the average Lead Time. This suggests that the longer throughput time is because of allocation problems described

The current average utilization rate of the call centre is 30.48% (see appendix XXX). The average arrival rate, rate at which the patients call, is lower than the average service rate, rate at which the patients are serviced. However, both the arrival time and the service time contain moderate variability (see appendix XXX), negatively impacting the flow time during peak hours. There are two arrival rate variability issues: variability amongst the different days the calls are received and variability amongst the hours the calls are received. The problem is bigger than Laura anticipated. As per the ‘Appendix 5’ of the case, the average daily abandoned calls are 338 and not 35. This does not include the patients receiving a busy signal, therefore becoming lost throughputs. Thus given the low utilization rate it is clear that the problem the call centre faces is in managing variability and not capacity.

The average turn from the time customers receive their food to the time they exit the restaurant, is 32 minutes. Additionally, it appears that even the experienced staff has difficulties in serving the customers as the demand exceeds labor utilized creating queues on the weekends of up to 25 minutes.

The market environment consists of both the macro environment and the micro environment. On macro environment the firm need to follow it and they can’t to control it. It consist variety of external factors that is economic, social, political, legal and technological. In the macro environment the firm should analyze national political issues, culture and climate, key macroeconomic conditions, health and indicators (such as economic growth, inflation, unemployment, etc.), social trends/attitudes, and the nature of technology's impact on its society and the business processes within the society. The microenvironment refers to the internal environment of the company such as consumer/customer, Supplier, competitors, the media (public) and in

* Demand variability is not easily supported by employing Transit Point methodology. If there is an urgent demand for goods in excess of truckload capacity then it can lead to huge additional cost.

The main problem in this case is maximizing capacity utilization. An offer for 60 additional reservations to be accepted or not is the question to which Snow, the reservation manager has though of examining the problem through Snow’s technique. One is to have a good forecast of the pickup ratio, which can be multiplied to the Tuesday bookings to get the estimate of the demand. One has to obtain the forecast of adjusted pickup ratio, which can be multiplied, to the Saturday DOW Index to obtain the unadjusted pickup ratio. Here is is trying to eliminate the DOW effect that exists and average the demand through the week (Weatherford & Bodily,1990). Then the

3.   The travel time is 1 hour.  While this is considered part of the service time it actually means that the customer will be waiting during the first hour of the service time.  Thus, travel time must be added to the time spent in line as predicted model in order to determine the total customer waiting time.

So based on above components, analytical model, research questions, and hypothesis we can determine the specification of information needed.