Guest Post: Rita’s Italian Ice and Seasonality

Prof. Howard Weiss shares his interest in Italian ice with us today, March 20th, the first day of Spring.

Rita’s Ice represents an example of seasonal operations, illustrating both the challenges and opportunities due to demand variability. Founded in 1984 in a Philadelphia suburb, the company has expanded to nearly 600 franchises across 463 cities in 30 states, becoming the largest Italian ice franchise in the U.S. Despite this growth, Rita’s core product offerings—Italian ice and frozen custard—remain strongly associated with warm-weather consumption. 

Most Rita’s locations operate as walk-up or drive-through outlets, opening by March 1 and closing no earlier than the third Sunday in September. This operational model results in an important inefficiency: franchisees incur fixed costs, particularly rent, for all 12 months while generating revenue for only about seven. Supplement 7 of your Heizer/Render/Munson textbook suggests developing complementary products with countercyclical demand– such as  jet skis and snowmobiles– thereby using the same resources all year long.

However, Rita’s appears to be considering an alternative approach—extending operations year-round. This shift reflects evolving consumer behavior, as frozen desserts such as ice cream increasingly exhibit steady demand even in colder months, particularly in warmer climates or high-traffic retail environments like shopping malls. By remaining open throughout the year, Rita’s could better leverage its fixed assets and enhance brand visibility. But this strategy would require careful demand forecasting and possibly localized adaptation, as consumer preferences in colder regions may still exhibit too much seasonal sensitivity to make it worthwhile to open all year.

From a production standpoint, Rita’s must also manage perishability constraints. Cream, a primary ingredient in frozen custard, necessitates reliance on local distributors to ensure freshness. Additionally, custard is discarded after 36 hours, underscoring the importance of accurate short-term demand forecasting and inventory control. Rita’s maintains a consistent gelato formula across franchises, it offers over 60 flavors, rotating them based on popularity data. This approach balances operational consistency with responsiveness to consumer preferences.

Finally, beginning in 1984, Rita’s has marked the beginning of Spring by offering free Italian Ice. This longstanding tradition on the first day of spring—March 20 this year—serves as an effective promotional tool. The initiative not only marks the seasonal reopening of many locations but also reinforces brand loyalty and drives customer engagement.

Classroom Discussion Questions:

  1. Name two products or services with complementary seasonal demands. 
  2. How would you determine if the demand for ice cream is high enough in the winter to warrant staying open all year?

 

Guest Post: Forecasting Lessons Using PC Sales

Prof. Howard Weiss presents an interesting, real-world example of seasonality and forecasting.

If we examine PC unit shipments in the U.S. 2013-2023, by quarter, there are a couple of interesting lessons we can learn from the data.

The data are separated into pre-Covid and Covid time periods because it is obvious that the graph looks different before 2020 than at 2020 and beyond. If you look closely at the pre-Covid data, it is very easy to see the seasonality. Quarter 2 is higher than quarter 1, Quarter 3 is higher than Quarter 2 and Quarter 4 is higher than Quarter 3 in EVERY year from 2013 to 2019.

Chapter 4 of your Heizer/Render/Munson textbook discusses Seasonal Variation in Data. Using Excel OM for the method of Example 9 we find that the seasonal indices are as given in the table below for the pre-Covid period. In addition, using regression we find the line that fits the data best is:

Shipments (in millions) = 15.675 – .06*x

where x is the time period from 1 to 28.

Notice that shipments have been decreasing by 60,000 units per year. Using the regression equation, the forecasts for the next 4 periods in 2020 are given in the table

Pre-COVID Percent of Demand Seasonal Factors X value

(2020)

Forecasts

15.675 – .06*x

Actual (2020 data)
Quarter 1 21.6% .862 29 13.935 10.83
Quarter 2 25.1% 1.003 30 13.875 15.70
Quarter 3 26.4% 1.057 31 13.815 23.62
Quarter 4 26.9% 1.076 32 13.755 19.03
Total 55.38 69.28

 

Looking at the actual 2020 data, it is obvious that Covid caused a significant increase in PC shipments. The increase is even more pronounced in 2021. This is not surprising as more and more students and workers were working from home rather than in the office or university. Also, examining the graph, the seasonality for 2020-2023 is not as obvious as for the pre-Covid period.

During COVID Percent of Demand Seasonal Factors
Quarter 1 22.3% .893
Quarter 2 26.3% 1.052
Quarter 3 26.8% 1.072
Quarter 4 24.5% .982

 

When forecasts for 2020 were made in 2019 it was impossible to know that Covid would strike and affect shipments as much as it did. But by quarter 2 of 2020 it was clear that quantitative forecasts based on past shipments would have large errors. At this point it would be imperative to introduce a qualitative method into the forecasting process, as discussed in the chapter.

 

 

 

OM in the News: How Airlines Match Capacity to Demand

When we think of capacity issues at airlines, it is often in the context of buying enough planes to meet forecast demand.  But the Wall Street Journal (Feb.29, 2012)  makes the important point that “many fewer people fly in the winter than during school breaks, major holidays and summer vacations.” In fact, US airlines filled  just 77% of their seats last January, compared to 87% in July. Basically, for decades, airlines have earned a lot of money in summer and then lost it in winter when they had too many planes, gates, and employees.

What OM strategies can airlines use to break the cycle?  Here are 4 ideas: (1) Schedule more airplanes for maintenance and renovations during winter months; (2) Offer workers voluntary leaves; (3) Fly the planes fewer hours; and (4) Trim the number of daily flights to many destinations.

With fuel prices hitting record highs ( fuel is more than 1/3 of  operating expenses), “it becomes more and more important not to fly that airplane if there’s no demand,” says Alaska Air’s VP-Revenue Management.  Delta has made a goal of providing 20-25% less capacity in winter than in summer–a big oscillation by industry standards.  But seasonal downsizing is tricky. Airlines can’t afford to park their planes in low season, and union contracts don’t allow them to impose staff cuts.

Alaska Air smoothed out it schedule recently when it added flights to Hawaii from its Seattle hub in winter. Delta loads up on sports charter flights and adds more flights to the Caribbean, Mexico, and Australia in the slow season. US Airways offers red-eye flights from its Phoenix hub in summer, squeezing more hours  a day out of its planes, then discontinues the flights in winter. Ryanair, Europe’s big discount carrier, simply parks 80 of its 280 planes from November to March. It still bears the ownership costs, but doesn’t have to fuel up.

Discussion questions:

1. Discuss each of these capacity strategies. Which is best?

2. What other cost-saving ideas can students suggest to deal with seasonality?