TABLE 37
Given Frequency of Relative frequency
outcome Successor successor of successor
A 5 5/12 = 0.4167
AB 4 4/12 = 0.3333
C J_ 3/12 = 0.2500
Total 12
A 5 5/10 = 0.5000
BB 3 3/10 = 0.3000
C _2 2/10 = 0.2000
Total 10
A 2 2/13 = 0.1538
CB 3 3/13 = 0.2308
C _8 8/13 = 0.6154
Total 13
- Compute the expected number of units in use
at steady-state conditions
In the preceding calculation procedure, the total number of machines that will be in use si-
multaneously is 1200. Multiply the steady-state probabilities found in step 3 by 1200 to
obtain the expected number of units of each model that ultimately will be in use simulta-
neously. The results are: model A, 1200(12/35) = 411; model B, 1200(10/35) = 343; mod-
el C, 1200(13/35) = 446. These results coincide with those obtained in the preceding cal-
culation procedure, and so the latter are confirmed.
Related Calculations: In constructing the recurring series of outcomes, it is nec-
essary to apply the principle of succession. Assume that a Markov process has three pos-
sible outcomes, A, B, and C; and let Af(A-B) = number of times that A is followed by B.
The principle is W(A-B) + N(A-C) = N(B-A) + N(C-A). As an illustration, consider the
following skeletal series, where each outcome is followed by a different outcome:
A-C-A-C-B-A-B-A-C-B-A-C-B-C-A-C
The last outcome will be followed by A. Then AT(A-B) + N(A-C) = N(B-A) + N(C-A)
= 6; N(B-A) + TV(B-C) = TV(A-B) + N(C-B) = 4; N(C-A) + N(C-B) = N(A-C) + TV(B-C) =
- Now this skeletal series can be expanded to the true series by allowing one outcome to
be followed by the same outcome. For example, assume the requirements are TV(A-A) = 3,
TV(B-B) = 5, and TV(C-C) = 6. A true recurring series is
A-A-C-C-C-C-A-C-C-C-B-B-B-A-B-B-A-C-C-B-B-B-A-A-C-B-C-A-A-C