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over 70 percent of Walgreens offer those services, and the number rises every day Truth be told, the drive-thru service and one-hour photo labs add a lot of work and complication to each store s operation, but Walgreens philosophy trumps any complaints: If it can be shown that a new feature will increase customer convenience, they ll do it Dan Jorndt observed, Our company is now 103 years old, but we ve opened 3,400 of our 3,800 stores in the past 10 years Now, how can that be Well, along with moving to freestanding stores, we relocated all our strip centers and all our downtown stores to new sites So, just the net in the past 10 years is more like 2,000 new stores, but we ve also relocated 1,400 So here s a 103-year-old company, where 80 percent of our stores are less than 10 years old I don t think there s a retail company anywhere that can say, Gee, we re going on 103 years, and our average store is 5 years old! But that took a tremendous amount of discipline and a certain amount of guts to say, We re going to do that We re going to generate cash and put it back in the company And we ve been reinvesting about a billion [dollars] a year into new stores You ve probably heard it a hundred times around these halls, and if you haven t you probably will: We believe in crawl, walk, run Crawl, figure out what s going on, and once we get it figured out, start walking, and once you get that right, you go like hell! The best example of that is one-hour photo finishing We started one-hour photo finishing in 1984, and we tweaked it and tested it and marketed it, and we kept fooling around with that until about 1995 or 1996 All that was crawl, crawl, crawl We couldn t get it figured out, but we didn t give up We knew there was something there Finally, in the mid 1990s, a-ha! We got it We figured out we ve gotta have the right price, we ve gotta have well-trained technicians, we ve gotta have the right equipment We finally got the whole ball of wax right And then, conservative me, we had a meeting, and we say, All right, we ve got this thing figured out: We re going right.

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j =1

pij ,

TC dialogue #1

i = 0, 1,

This section deals with the transient analysis of the Markov chain {Xn , n = 0, 1, } with state space I and one-step transition probabilities pij for i, j I We rst show how the one-step transition probabilities determine the probability of going from state i to state j in the next n steps The n-step transition probabilities are de ned by

(n) pij = P {Xn = j | X0 = i},

Theorem 321 (Chapman Kolmogoroff equations) For all n, m = 0, 1, ,

TC_Begin[ERG] TC_Continue[ERG-Res; RT-GPRS] TC_Continue[RRGE; ACH-GPRS; CUE-GPRS] TC_End TC dialogue #2

(n+m) pij = k I (n) (m) pik pkj ,

.

(321)

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Proof A formal proof is as follows By conditioning on the state of the Markov chain at time t = n, we nd P {Xn+m = j | X0 = i} =

P {Xn+m = j | X0 = i, Xn = k}P {Xn = k | X0 = i} P {Xn+m = j | Xn = k}P {Xn = k | X0 = i}

TC_Begin[ACR-GPRS] TC_Continue[ACR-GPRS-Res; ACH-GPRS] TC_End TC dialogue #3

P {Xm = j | X0 = k}P {Xn = k | X0 = i},

which veri es (321) Note that the second equality uses the Markovian property and the last equality uses the assumption of time homogeneity The theorem states that the probability of going from i to j in n + m steps is obtained by summing the probabilities of the mutually exclusive events of going rst from state i to some state k in n steps and then going from state k to state j in m steps This explanation is helpful to memorize the equation (321) In particular, we have for any n = 1, 2, ,

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(n+1) = pij k I (n) Hence the n-step transition probabilities pij can be recursively computed from (n) pik pkj ,

(322)

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