Operations Management
Operations Management
11th Edition
ISBN: 9780132921145
Author: Jay Heizer
Publisher: PEARSON
bartleby

Concept explainers

bartleby

Videos

Textbook Question
Book Icon
Chapter 1, Problem 1CS

National Air Express

National Air is a competitive air-express firm with offices around the country. Frank Smith, the Chattanooga, Tennessee, station manager, is preparing his quarterly budget report, which will be presented at the Southeast regional meeting next week. He is very concerned about adding capital expense to the operation when business has not increased appreciably. This has been the worst first quarter he can remember: snowstorms, earthquakes, and bitter cold. He has asked Martha Lewis, field services supervisor, to help him review the available data and offer possible solutions.

Service Methods

National Air offers door-to-door overnight air-express delivery within the U.S. Smith and Lewis manage a fleet of 24 trucks to handle freight in the Chattanooga area. Routes are assigned by area, usually delineated by zip code boundaries, major streets, or key geographical features, such as the Tennessee River. Pickups are generally handled between 3:00 P.M. and 6:00 P.M., Monday through Friday. Driver routes are a combination of regularly scheduled daily stops and pickups that the customer calls in as needed. These call-in pickups are dispatched by radio to the driver. Most call-in customers want as late a pickup as possible, just before closing (usually at 5:00 P.M.).

When the driver arrives at each pickup location, he or she provides supplies as necessary (an envelope or box if requested) and must receive a completed air waybill for each package. Because the industry is extremely competitive, a professional, courteous driver is essential to retaining customers. Therefore, Smith has always been concerned that drivers not rush a customer to complete his or her package and paperwork.

Budget Considerations

Smith and Lewis have found that they have been unable to meet their customers’ requests for a scheduled pickup on many occasions in the past quarter. Although, on average, drivers are not handling any more business, they are unable on some days to arrive at each location on time. Smith does not think he can justify increasing costs by $1, 200 per week for additional trucks and drivers while productivity (measured in shipments per truck/day) has remained flat. The company has established itself as the low-cost operator in the industry but has at the same time committed itself to offering quality service and value for its customers.

1. Is the productivity measure of shipments per day per truck still useful? Are there alternatives that might be effective?

Blurred answer
Students have asked these similar questions
By selecting Cigna Accredo pharmacy that i identify in my resand compare the current feedback system against the “Characteristics of a Good Multiple Source Feedback Systems” described in section 8-3-3.  What can be improved?  As a consultant, what recommendations would you make?
Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…
Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next month. Remember to select the forecasting technique that produces the forecast error nearest to zero. For example: a. Naïve Forecast is 230 and the Forecast Error is -15. b. 3-Month Moving Forecast is 290 and the Forecast Error is -75. c. Exponential Smoothing Forecast for .2 is 308 and the Forecast Error is -93. d. Exponential Smoothing Forecast for .5 is 279 and the Forecast Error is -64. e. Seasonal Forecast is 297 and the Forecast Error is -82. The forecast for the next month would be 230 as the Naïve Forecast had the Forecast Error closest to zero with a -15. This forecasting technique was the best performing technique for that month. You do not need to do any external analysis-the forecast error for each strategy is already calculated for you in the tables below. Naïve Month Period Actual Demand Naïve Forecast Error 3- Month Moving Forecast 3- Month Moving…
Knowledge Booster
Background pattern image
Operations Management
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,
Inventory Management | Concepts, Examples and Solved Problems; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=2n9NLZTIlz8;License: Standard YouTube License, CC-BY