Final Exam Flashcards

(65 cards)

1
Q

Higher inventory holding costs

A

retailer will place smaller orders more frequently

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2
Q

Higher ordering costs

A

retailer will place larger orders more frequently

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3
Q

determining the order quantity and frequency of orders

A

is not straight forward even in simple scenarios

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4
Q

supply chain

A

common stages include: suppliers, manufacturers, distributors, warehouses, retailers

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5
Q

the demand facing a supply change stage

A

accumulation of orders from customers

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6
Q

Bullwhip effect

A

an unanticipated change in retail demand that results in increased fluctuations in demand and demand moves from retailer to supplier

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7
Q

fluctuations in demand

A

result in an increased cost associated with meeting the demand due to having to build capacity to meet the highest level of demand.

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8
Q

capacity of the system

A

the slowest workstation dictates the flow out of the system

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9
Q

bottleneck

A

anything that limits throughput

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10
Q

bottleneck resource

A

the resource limiting throughput

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11
Q

the capacity of a bottleneck resource

A

less than or equal to the demand placed upon it in the market

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12
Q

the capacity of a non-bottleneck resource

A

greater than the demand placed upon it by the market

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13
Q

a system with excess capacity

A

the market will limit throughput and is the bottleneck

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14
Q

Capacity Utilization Ratio (CUR) of a resource

A

an indication of whether the resource is a bottleneck resource or a non-bottleneck resource

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15
Q

Inventory accumulates in-front-of a resource

A

whenever the flow feeding the resource is greater than the flow out of the resource

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16
Q

the amount of inventory between two measures

A

depends upon the differential in the flow rates between the feeding and receiving resource

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17
Q

in the absence of any inventory control system

A

there will always be inventory in-front-of a bottleneck resource

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18
Q

local optimization everywhere

A

does not guarantee optimal performance of the system

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19
Q

to prevent the accumulation of work-in-process inventory in a system

A

the flow into the system must equal the flow out of the system

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20
Q

in a low inventory environment

A

non-bottleneck resources will experience idle time

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21
Q

Both a just-in-time (JIT) system and drum-buffer-rope (DBR) system

A

prevent the accumulation of inventory in a system by making sure the flow into the system is equal to the flow out

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22
Q

a JIC system

A

a push system that will result in the build-up of work-in-process inventory unless the slowest resource is at the start of the the process

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23
Q

a JIT system

A

is a pull system where a work station does not pass items to a subsequent work station until the subsequent work station is ready to process the item

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24
Q

Little’s Law

A

manufacturing lead times are proportional to the amount of work-in-process in the system

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25
reducing work-in-process inventory
will result in improved quality for 3 reasons: the bottleneck effect is less stressed, non-bottleneck resources have idle time which can be spent on ensuring quality, and systematic errors are identified before substantial amounts of rework accumulate
26
in low inventory environments
there is less need for extensive tracking and scheduling
27
`controlling inventory
is key to a successful operation
28
2 batch sizes where a distinction can be made
process batch size and transfer batch size
29
reducing transfer batch sizes
results in less work-in-process inventory and faster manufacturing lead times
30
Transfer batch sizes
should be set as small as possible
31
a key factor in setting process batch sizes
the set-up time required on the bottleneck resource
32
In systems with complex flow structures
inventory can be controlled using a drum buffer-rope system
33
as inventory accumulates in a system
manufacturing lead times increase and become less predictable
34
observing system data over time
provides valuable information concerning the operation and evolution of a process
35
static pictures of data
often results in the loss of crucial information
36
priority rules
impact system performance in predictable ways
37
in high inventory environments
priority rules are less likely to be followed
38
The buffer
should be set large enough to ensure that the bottleneck resource always has something to work on
39
controlling inventory data
results in faster and more predictable manufacturing lead times
40
controlling the release of items into the system
results in accurate available to promise dates, improved quality, and the ability to better prioritize items
41
variability
has a profound effect on system performance
42
when variability exists
predicting system performance using averages will result in overly optimistic prediction of actual system performance
43
a resource is starved
when it is not able to take advantage of available capacity because a preceding resource has not provided anything for it to work on
44
starving of a bottleneck resource
can be prevented by: buffering the bottleneck with work-in-process inventory, reducing the variability that is causing the starving, or breaking the dependency of the bottleneck on the resources causing the starving
45
When inventory accumulates in a system as a result of variability
the inventory moves through the system in waves
46
Variability alone
can cause oscillations in the performance of a part of a process
47
Blocking of a resource
results in idle time at that resource
48
the source of the idle time
is the subsequent resource's inability to process items fast enough
49
blocking and starving of a bottleneck resource
should be prevented
50
variation in the output produced by a system
can be attributed to common causes of variation or assignable causes of variation
51
When common causes of variation have a large impact on the output produced by workers
comparing worker performance has a detrimental effect on worker morale
52
comparing the performance of two different systems
makes no sense
53
process improvement efforts
should begin by removing all assignable causes of variation
54
plotting system measurements over time
helps identify the presence of assignable causes
55
once all assignable causes of variation are removed and only common causes are impacting system performance
control charts can be set up
56
control charts
establish process capacity and can be used to monitor system performance and determine whether a process improvement effort has its desired effect
57
a process improvement effort
should be undertaken if the current process is not capable of "consistently" meeting customer expectations
58
product mix problems
involve allocating scarce resources among competing alternatives
59
the optimal solution to a product mix problem
depends on the stated objective/goal and the constraints
60
constraints
can be binding or non-binding
61
if relaxed, non-binding constraints
do NOT result in an improvement in the objective function value
62
if a non-binding constraint is associated with a resource
the slack value is positive meaning there will be leftover units if the optimal solution is implemented
63
if relaxed, a binding constraint
will result in an improvement in the objective function value
64
the shadow price of the constraint
the amount of the improvement in a relaxed binding constraint
65
changes int he objective function coefficient
may or may not result in a change in the solution to the constrained optimization problem