1. Chapter 5: Service Processes

2. Service Businesses
A service business is the management of organizations whose primary business requires interaction with the customer to produce the service
Generally classified according to who the customer is:
Financial services
Health care
A contrast to manufacturing 5

3. Service-System Design Matrix
Degree of customer/server contact
Buffered
Permeable
Reactive
High
core (none)
system (some)
system (much)
Low
Face-to-face
total
customization
Face-to-face
loose specs
Sales
Opportunity
Production
Efficiency
Face-to-face
tight specs
Phone
Contact
Internet &
on-site
technology
Mail contact
Low
High 9

4. Characteristics of Workers, Operations, and Innovations Relative to the Degree of Customer/Service Contact

5. Queuing Theory Waiting occurs in Service facility
Fast-food restaurants
post office
grocery store
bank
Manufacturing
Equipment awaiting repair
Phone or computer network
Product orders
Why is there waiting?

6. Customer Service Population Sources
Finite
Infinite
Example: Number of machines needing repair when a company only has three machines.
Example: The number of people who could wait in a line for gasoline. 4

7. Service Pattern Service Pattern Constant Variable
Example: Items coming down an automated assembly line.
Example: People spending time shopping. 5

8. The Queuing System Queuing System Length Number of Lines &
Queue Discipline
Number of Lines &
Line Structures
Queuing
System
Service Time
Distribution

9. Examples of Line Structures
Single
Phase
Multiphase
One-person
barber shop
Car wash
Hospital
admissions
Bank tellers’
windows
Single Channel
Multichannel 6

10. Measures of System Performance
Average number of customers waiting
In the queue
In the system
Average time customers wait
System utilization

11. Number of Servers Single Server Multiple Servers
Multiple Single Servers

12. Some Assumptions Arrival Pattern: Poisson Service pattern: exponential
Queue Discipline: FIFO

13. Some Models 1. Single server, exponential service time (M/M/1)
2. Multiple servers, exponential service time (M/M/s)
A Taxonomy
M / M / s
Arrival Service Number of
Distribution Distribution Servers
where
M = exponential distribution (“Markovian”)

14. l = customer arrival rate
Given
l = customer arrival rate
m = service rate (1/m = average service time)
s = number of servers
Calculate
Lq = average number of customers in the queue
L = average number of customers in the system
Wq = average waiting time in the queue
W = average waiting time (including service)
Pn = probability of having n customers in the system
r = system utilization
Note regarding Little’s Law: L = l * W and Lq = l * Wq

15. Model 1: M/M/1 Example
The reference desk at a library receives request for assistance at an average rate of 10 per hour (Poisson distribution). There is only one librarian at the reference desk, and he can serve customers in an average of 5 minutes (exponential distribution). What are the measures of performance for this system? How much would the waiting time decrease if another server were added?

16. Application of Queuing Theory
We can use the results from queuing theory to make the following types of decisions:
How many servers to employ
Whether to use one fast server or a number of slower servers
Whether to have general purpose or faster specific servers
Goal: Minimize total cost = cost of servers + cost of waiting

17. Example #1: How Many Servers?
In the service department of an auto repair shop, mechanics requiring parts for auto repair present their request forms at the parts department counter. A parts clerk fills a request while the mechanics wait. Mechanics arrive at an average rate of 40 per hour (Poisson). A clerk can fill requests in 3 minutes (exponential). If the parts clerks are paid $6 per hour and the mechanics are paid $18 per hour, what is the optimal number of clerks to staff the counter.
Service Cost = s * Cs
Waiting Cost = l * W * Cw
S = 4 IS THE SMALLEST

18. Example #2: How Many Servers?
Beefy Burgers is trying to decide how many registers to have open during their busiest time, the lunch hour. Customers arrive during the lunch hour at a rate of 98 customers per hour (Poisson distribution). Each service takes an average of 3 minutes (exponential distribution). Management would not like the average customer to wait longer than five minutes in the system. How many registers should they open?
Need at least 5 (why?) Increment from there

19. Choose s = 6 since W = 0.0751 hour is less than 5 minutes.
For six servers
Choose s = 6 since W = hour is less than 5 minutes.

20. Example #3: One Fast Server or Many Slow Servers?
Beefy Burgers is considering changing the way that they serve customers. For most of the day (all but their lunch hour), they have three registers open. Customers arrive at an average rate of 50 per hour. Each cashier takes the customer’s order, collects the money, and then gets the burgers and pours the drinks. This takes an average of 3 minutes per customer (exponential distribution). They are considering having just one cash register. While one person takes the order and collects the money, another will pour the drinks and another will get the burgers. The three together think they can serve a customer in an average of 1 minute. Should they switch to one register?

21. 3 Slow Servers 1 Fast Server
W is less for one fast server, so choose this option.

22. Example 4: Southern Railroad
The Southern Railroad Company has been subcontracting for painting of its railroad cars as needed. Management has decided the company might save money by doing the work itself. They are considering two alternatives. Alternative 1 is to provide two paint shops, where painting is to be done by hand (one car at a time in each shop) for a total hourly cost of $70. The painting time for a car would be 6 hours on average (assume an exponential painting distribution) to paint one car. Alternative 2 is to provide one spray shop at a cost of $175 per hour. Cars would be painted one at a time and it would take three hours on average (assume an exponential painting distribution) to paint one car. For each alternative, cars arrive randomly at a rate of one every 5 hours. The cost of idle time per car is $150 per hour.
Estimate the average waiting time in the system saved by alternative 2.
What is the expected total cost per hour for each alternative? Which is the least expensive?
Answer: Alt 2 saves 1.87 hours. Cost of Alt 1 is: $ / hour and cost of Alt 2 is $ /hour.

23. Example 5
A large furniture company has a warehouse that serves multiple stores. In the warehouse, a single crew with four members is used to load/unload trucks. Management currently is downsizing to cut costs and wants to make a decision about crew size.
Trucks arrive at the loading dock at a mean rate of one per hour. The time required by the crew to unload/and-or load a truck has an exponential distribution (regardless of crew size). The mean of the distribution for a four member crew is 15 minutes – i.e., 4 trucks per hour. If the crew size is changed, the service rate is proportional to its size – i.e., a three member crew could do 3 per hour, etc.
The cost of providing each member of the crew is $20 per hour and the cost for a truck waiting is $30 per hour. The company has a service goal such that the likelihood of a truck spending more than one hour being served is 5% or less.
For the current configuration, what is the average waiting time in the system? What is the average number of trucks waiting to be unloaded (not including the truck currently being unloaded? What is the probability that a truck waits more than one hour to be unloaded? What is the total cost of the four person crew?
Suppose the company is looking at alternatives. One is a three member crew. What is the cost of this crew? Compare the statistics mentioned in part a) with comparable statistics for the three member crew. Would you select the three member crew over the crew in part a)? Why or why not?
One person suggested that rather than have one four member crew, the firm should use two, two member crews, where each crew could load/unload two trucks per hour. What is the cost of this solution? What is the probability that a truck waits longer than one hour for loading/unloading? Would you recommend that they implement this solution? Why or why not?

24. Example 5 (Answer)