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Randomservicing
 Thismethodapplieswhenyouhave one personhandlingseveralmachines(orthings)that:
– Do not run fora setlengthof time,
– Needservicingat irregularintervals
 Examples:
– Machine repair:machinesbreakat randomtimes.
– Call center, callscome inat random times.
Randomservicing:approach
 The proportionof time, p,that a machine isup or downcan be estimatedthrougha time study
(Chapter9) or a worksampling study (Chapter14)
 q = 1 - p
 P = the probabilitythat moutof n total machinesare downis:
P (mof n) = n! x pm
qn-m
m! (n – m)!
Randomservicing:Example
 Suppose ata call service center you have one phone operatortoanswer:
– n = 4 phone lines
– p = 0.10 = probabilitythata phone line is in useis.
– q = 1 – p = 0.9 = the probabilitythatagivenphone line is unused,e.g.noone onthe line.
 “In use”meansthat a callermay be either:
– waitingonthe line,or
– speakingwiththe phone operator.
 If calls come intothe centerat random,whatisthe probabilitythatthere will be exactly three
phone linesinuse? (e.g.One callerspeakingwiththe operator,twocallerswaiting).
Randomservicing
 No callers 4! x (.10
) (.94
) = .66
0! (4 – 0)!
 One caller 4! x (.11
) (.93
) = .29
1! (4 – 1)!
 Two callers 4! x (.12
) (.92
) = .05
2! (4 – 2)!
 Three callers 4! x (.13
) (.91
) = .0036
3! (4 – 3)!
 Four callers 4! x (.14
) (.90
) = .0001
4! (4 – 4)!
Randomservicing
In otherwords,inthissituation:
 66 % of the time,the salesassistanthasnocalls;
 29 % of the time,exactlyone call;
 5 % of the time,exactlytwocalls, e.g.the assistanthelpsone customerwhileone customer
waits,
 Lessthan a half a percentof the time (0.36 %),exactlythree calls: one customerisbeinghelped
while twocustomerslistentoMusak.
 The probabilitythatall 4 linesare inuse at once isalmostnon-existent.
Probability of exactly n calls
0.6561
0.2916
0.0486
0.0036 0.0001
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 1 2 3 4
Number of calls
Probability
Line balancing
Line Balancing(LB) is a classic,well-researchedOperationsResearch(OR) optimizationproblem
of significantindustrial importance.Itisone of those problemswheredomainexpertisedoes
not helpverymuch:whateverthe numberof yearsspentsolvingit,one iseachtime facingan
intractable problemwithanastronomicnumberof possible solutionsandnoreal guidance on
howto solve itinthe bestway,unlessone postulatesthatthe oldwayisthe bestway

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Random servicing (autosaved)

  • 1. Randomservicing  Thismethodapplieswhenyouhave one personhandlingseveralmachines(orthings)that: – Do not run fora setlengthof time, – Needservicingat irregularintervals  Examples: – Machine repair:machinesbreakat randomtimes. – Call center, callscome inat random times. Randomservicing:approach  The proportionof time, p,that a machine isup or downcan be estimatedthrougha time study (Chapter9) or a worksampling study (Chapter14)  q = 1 - p  P = the probabilitythat moutof n total machinesare downis: P (mof n) = n! x pm qn-m m! (n – m)! Randomservicing:Example  Suppose ata call service center you have one phone operatortoanswer: – n = 4 phone lines – p = 0.10 = probabilitythata phone line is in useis. – q = 1 – p = 0.9 = the probabilitythatagivenphone line is unused,e.g.noone onthe line.  “In use”meansthat a callermay be either: – waitingonthe line,or – speakingwiththe phone operator.  If calls come intothe centerat random,whatisthe probabilitythatthere will be exactly three phone linesinuse? (e.g.One callerspeakingwiththe operator,twocallerswaiting). Randomservicing  No callers 4! x (.10 ) (.94 ) = .66 0! (4 – 0)!  One caller 4! x (.11 ) (.93 ) = .29 1! (4 – 1)!
  • 2.  Two callers 4! x (.12 ) (.92 ) = .05 2! (4 – 2)!  Three callers 4! x (.13 ) (.91 ) = .0036 3! (4 – 3)!  Four callers 4! x (.14 ) (.90 ) = .0001 4! (4 – 4)! Randomservicing In otherwords,inthissituation:  66 % of the time,the salesassistanthasnocalls;  29 % of the time,exactlyone call;  5 % of the time,exactlytwocalls, e.g.the assistanthelpsone customerwhileone customer waits,  Lessthan a half a percentof the time (0.36 %),exactlythree calls: one customerisbeinghelped while twocustomerslistentoMusak.  The probabilitythatall 4 linesare inuse at once isalmostnon-existent. Probability of exactly n calls 0.6561 0.2916 0.0486 0.0036 0.0001 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 1 2 3 4 Number of calls Probability
  • 3. Line balancing Line Balancing(LB) is a classic,well-researchedOperationsResearch(OR) optimizationproblem of significantindustrial importance.Itisone of those problemswheredomainexpertisedoes not helpverymuch:whateverthe numberof yearsspentsolvingit,one iseachtime facingan intractable problemwithanastronomicnumberof possible solutionsandnoreal guidance on howto solve itinthe bestway,unlessone postulatesthatthe oldwayisthe bestway