Question

The marketing manager of a transportation network company offering taxi services in a metro city wanted to study the waiting times of customers to get a taxi during the peak hours. A subgroup of 15 customers was selected (one at each ten minutes interval during the hour) and the time in minutes was measured from the point each customer booked the taxi to when he or she began the trip. The results of 40 days period were as under.

Sample No. 1 2 3 4 5 6 7 8
Obs. 1 8.7 6.6 6.7 5.6 6.9 8.2 7.3 5.7
Obs. 2 6.4 6.3 7.5 8.7 7.1 6.7 8.8 8.1
Obs. 3 8.8 7.3 9.5 7.1 10 7.2 7.1 5.2
Obs. 4 6.1 6.7 8.1 9.1 7.5 7.1 8.7 8.5
Obs. 5 8.6 8.5 9.3 6.9 9.8 7.1 8.9 7
Obs. 6 5.6 5.5 7.5 7.9 6.3 6.9 8 7.3
Obs. 7 8 7.9 8.7 6.3 9.2 6.5 8.3 4.4
Obs. 8 5.3 5.9 7.3 8.3 6.7 8 7.9 7.7
Obs. 9 5.8 5.8 7.7 8.1 6.5 7.7 8.2 7.5
Obs. 10 8.2 8.1 8.9 6.5 9.4 6.7 8.5 6.3
Obs. 11 5.5 6.1 7.5 8.5 6.9 6.5 8.1 7.9
Obs. 12 8.1 7.9 8.8 6.3 9.2 8.6 8.3 6.4
Obs. 13 6.5 6.4 8.7 9.1 7.3 6.8 8.9 8.4
Obs. 14 9.3 9.2 10.1 7.3 10.7 7.5 8.9 5
Obs. 15 6.1 6.8 8.4 9.6 7.7 7.3 9.2 8.9

 

Sample No. 9 10 11 12 13 14 15 16
Obs. 1 9.3 9 9 5.8 7.1 6 8.5 6.7
Obs. 2 8.5 8.2 7.2 7.9 7.7 7.3 10.7 8
Obs. 3 7.5 5.4 7.2 8.5 9.1 8 6.4 6.5
Obs. 4 8.7 8.6 7.7 8.3 8.5 7.7 11.1 8.4
Obs. 5 8.1 7.3 7 8.3 7.5 7.9 6.2 6.3
Obs. 6 7.8 7.4 6.5 7.1 8.6 6.5 9.9 7.2
Obs. 7 8.4 6.7 6.4 7.7 7.8 7.2 5.6 5.7
Obs. 8 7.3 7.8 6.9 7.5 8.1 6.9 10.3 7.6
Obs. 9 8.1 7.6 6.7 7.3 8.8 6.7 10.1 7.4
Obs. 10 8.6 4.8 6.6 8 8 7.5 5.8 5.9
Obs. 11 8.2 8 7.1 7.8 8.3 7.1 10.5 7.8
Obs. 12 7.5 4.6 6.4 7.8 8.8 7.3 5.6 5.8
Obs. 13 9.1 8.6 7.5 8.2 10 7.5 11.5 8.3
Obs. 14 9.7 7.7 7.4 9 9 8.4 6.5 6.6
Obs. 15 8.4 9.1 7.9 8.7 7.8 8 11.9 8.8

 

Sample No. 33 34 35 36 37 38 39 40
Obs. 1 8.5 5.2 6.5 9.7 6.2 7.6 6.5 9.1
Obs. 2 8.1 5.7 7.4 7.8 8.5 8.3 7.8 11.5
Obs. 3 8.6 8.5 9.3 7.7 9.1 6.8 8.6 6.8
Obs. 4 5.9 6.6 7.1 8.2 8.9 9.1 8.3 11.9
Obs. 5 8.4 8.3 9.1 7.5 9 8 8.4 6.6
Obs. 6 7.3 4.9 7.3 6.9 7.6 6.2 7 10.6
Obs. 7 7.8 7.7 8.5 6.8 8.3 8.3 7.8 6
Obs. 8 5.1 5.8 6.4 7.4 8.1 8.7 7.4 11.1
Obs. 9 7.5 5.2 9.8 7.1 7.9 8.8 7.2 10.8
Obs. 10 8 7.9 8.7 7.1 8.5 8.6 8 6.2
Obs. 11 5.3 6.1 6.6 7.6 8.3 8.9 7.6 11.3
Obs. 12 7.9 7.7 8.6 6.9 8.3 9.3 7.8 6
Obs. 13 8.4 8 8.4 6.6 7.4 9.2 10.4 8.4
Obs. 14 9.1 8.9 9.9 7.3 7.2 9.7 10.2 8.1
Obs. 15 5.9 6.7 7.3 10.4 10.2 7.3 8.2 11.9

The manager of this company needs to construct the suitable control charts for variability as well as average to infer whether the waiting times of customers for getting a taxi is under control or not. If it is out-of-control, also construct the revised control charts 

06 Feb 2021
Answer :
Word Count : 552

Analysis of Waiting Times Using Control Charts

In an Industrial Statistics Lab, control charts are effective tools to monitor process stability. Here, we evaluate the waiting times for customers of a transportation company during peak hours to determine if the process is under statistical control. Both variability and central tendency are assessed using Range (R) charts and Mean (Xˉ\bar{X}) charts respectively.


Steps for Control Chart Analysis

Step 1: Organize the Data

The data consists of waiting times of 15 customers across 40 samples. Each sample is taken at intervals of 10 minutes. The sample size nn is consistent at 15.

Step 2: Calculate Sample Means and Ranges

For each sample:

  • Compute the sample mean (Xˉi\bar{X}_i):

    Xˉi=∑j=1nXijn\bar{X}_i = \frac{\sum_{j=1}^{n} X_{ij}}{n}

    where XijX_{ij} represents the jthj^{th} observation in the ithi^{th} sample.

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