BPM Week 3 Flashcards

1
Q

Capacity definition

A

the maximum output achievable with a standard set of resources

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2
Q

Yield management definition

A

matching (service) capacity with future and uncertain customer demand

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3
Q

Capacity in services

A

Whenever demand of a service falls short of the capacity to serve, the results are idle servers and facilities.

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4
Q

Strategies of capacity management

A
  1. level capacity
  2. chase demand
  3. manage demand
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5
Q

Level Capacity

A

set capacity at a reasonable level and live with it

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6
Q

Chase Demand

A

Adjust capacity to demand (ex: part time workers)

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7
Q

Manage Demand

A

sources of demand variation

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8
Q

Demand management options

A

Partitioning demand, price incentives, promoting off peak demand, complementary services, reservation system

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9
Q

Demand partitioning

A

having separate capacities for separate types of demand. ex: bank- check cashed, open account

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10
Q

Price incentives

A

different prices for different seasons, sales, brands etc.

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11
Q

Promoting off peak demand

A

avoiding peak times when most people do that task

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12
Q

Complementary services

A

things you can do to at that place that enhances experience

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13
Q

Reservation system

A

preselling

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14
Q

Overbooking

A

minimize expected opportunity cost of idle service capacity as well as the expected cost of turning away reservations (walking cost)

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15
Q

Suppose that the cost of a no-show is $x (x > 0) but the cost of you making one too many promises is $0. What is your overbooking policy?

A

overbook as much as you can

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16
Q

Suppose that the cost of a no-show is $0 but the cost of you making one too many promises is $x (x > 0). What is your overbooking policy?

A

no overbooking

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17
Q

Overbooking loss table

A

opportunity cost - red, xd
lower number of expected loss is your overbooking plan
d= no shows x=overbook

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18
Q

Cu

A

Cu: cost of under-estimating a no-show = opportunity cost.

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19
Q

Co

A

Co: cost of over-estimating a no-show = ‘walking cost’.

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20
Q

Principle of marginal return

A

keep overbooking as long as the expected cost of the next overbooking is less than or equal to the expected cost of its associated no-shows.

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21
Q

capacity management options

A

customer participation, sharing capacity, cross training employees, part time employees, adjustable capacities, scheduling work shifts

22
Q

Yield management

A

Allocation of a fixed (capacity), perishable resource to match expected and potential demand so as to maximize revenue and profit.
Most appropriate for fixed capacity, segmentation, perishable inventory, variable demand.

23
Q

Cycle Time consists of

A

process time, setup time, queue time, wait time, move time

24
Q

1972 usa bank

A

boy waited 17 hours. $1.29 hr

35th person 9 hours. $2.22 hr

25
Economics of waiting
Firm: Cost of keeping employee waiting (unproductive wages) Customer:Foregone alternative use of that time
26
Psychology of waiting
informed waits are better
27
when do queues form?
demand arrival rate exceeds service rate. demand must be served
28
lambda
lambda is mean arrival rate
29
mu
mean service rate
30
1/lambda
mean inter arrival time
31
1/mu
mean service time
32
channel
number of servers
33
phases
number of steps in service for each arrival
34
queue discipline
rules/policy for determining the order that arrivals receive service
35
balking
arrival decides not to join queue
36
reneging
arrival in queue then leaves
37
jockeying
customer joins another line in hopes for shorter time
38
FIFO
First in first out
39
LIFO
Last in first out
40
SPT
Shorter processing time. get smaller service time customers first
41
Cu priority
Note how information systems (e.g., CRM systems) can help you filter out these customers.
42
Preemptive priority
ongoing service is interrupted for a new arrival; e.g., emergency rooms.
43
A/B/C notation and M/M/1 Queue
A-distribution of inter arrival times B- distribution of service times C-number of servers in each step or process M-exponential distribution
44
probability of exactly "n" customers in system
Pn=P^n(1-p)
45
mean number of customers in system
Ls = lambda/(u-lambda)
46
mean time in system
Ws = 1/(u-lambda)
47
Little's Law
L = lambda*W
48
Simulation
must have good correspondence, reasonable time (parsimony), physical, logical
49
long term simulation
85-90 year future
50
monte carlo simulation
simulation models future uncertainty.
51
slack
extra capacity
52
Outsourcing
Client hires another organization (vendor) to perform processes/services for client