This document describes a study conducted at TAFE Tractors Division in Bangalore to analyze vehicle turnaround times (VTAT) at a supplier plant. The study aimed to understand current performance, identify deviations, and generate control charts to monitor vehicle unloading times. SAS code is provided to create an individual moving range control chart plotting the unloading duration for each vehicle serial number against the sample number. Steps for generating control charts in SAS are outlined, including creating a data set with process and sample variables, selecting the appropriate chart and variables, and computing control limits directly from the data.

1. Facilitator:
Dr. James Daniel Paul
Professor – VIT Business School
VIT University – Chennai.
By
Ratish T
Student – VIT Business School,
VIT University – Chennai.

2.  The project is taken as a part of the course
work and the data used to implement the
control charts are the data collected form the
study conducted at TAFE, Tractors Division,
Bangalore during an Internship Period to
improve the Vehicle Turn Around Time(VTAT)
of supplier vehicles reaching the plant for
unloading the material.

3.  To understand the situation and performance
of different vehicles in unloading
performance.
 To identify the deviation so that the
constrained area or the areas of improvement
could be identified.
 To generate a control chart to monitor the
performance of the vehicles entering the
factory for unloading the materials.

4. data vtat;
input sno $ duration @@;
label sno = "Serial Number";
datalines;
TN49R3745a 19
KA406956a 11
KA52A018a 5
TN49R3745b 1050
KA52A018b 900
KA406956b 11
TN49R3745c 2918
TN49R3745d 160
KA406956c 375
KA52A018c 814
KA406956d 45
;
run;
title 'Individual moving Range Chart';
title2 'Time taken for Reporting to G1';
proc shewhart data=vtat;
irchart duration*sno;
run;

5. The graph is the process of Reporting to G1. Here the vehicle
numbers of different vehicles are in the horizontal axis and the
duration or the time taken for the process in the vertical axis.

6. The graph is for the process of G1 to Store Reporting

7. The graph is for the process of Store to Dock.

8. Process of Dock to Unloading

9. Process of Unloading to Exit

11.  Create a SAS data set, with variables a) the process variable (in this case, the
duration), and b) the sample label (in this case, vehicle number or S.no).
 Choose Solutions, Quality Improvement, Control Charts.
 For the Active Data Set, choose the appropriate data set from the Work
library, in this case WORK.VTAT.
 For Type of Control Chart, choose Mean and range charts.
 For Process variable, choose diameter.
 For Subgroup variable, choose the sample label, in this case, time.
 Since in this case we are creating the preliminary control chart using the
preliminary data sets, for Method of Establishing Control Limits, choose
Compute from the data….
 Click Run, print the Graph window.
Steps Involved in the Process