Midterm #1 Flashcards

(69 cards)

1
Q

3 functions of business organizations

A

finance
operations
marketing

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2
Q

what is operation

A

transformation process from input to output

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3
Q

operations management

A

managaement of systems of processes that create goods and/or provide services

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4
Q

5 Ms of the Input part of operations

A
Management
Methods
Material
Machines
Maintenance
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5
Q

parts of the transformation process in operations

A
cutting
machining
storing
transporting
investing
...
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6
Q

output part of operations

A

value is added

final good/service

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7
Q

what does operations management include

A
forecasting
capacity planning
scheduling
managing inventories
assuring quality
motivating employees
...
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8
Q

why is operations management important

A

operations contribute to economy

one of interval parts of any organization

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9
Q

what does feedback do for operations

A

makes sure we stay on right track (internal or external)

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10
Q

what is operations management

A

managing the process of transformation that creates products or services

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11
Q

what are centerpieces of wal-marts competetive strategy

A
logisitcs
own warehouses
own transportation system
large database
...
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12
Q

succesful operations of Southwestern Airlines

A

point-to-point service not Hub and Spoke
no frills
simple operations
high utilization

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13
Q

hub

A

center of operations

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14
Q

what are keys for successfully competing

A

understanding competetive issues helps managers develop successful strategies

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15
Q

mission statement

A

reason for existence of organization

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16
Q

goals

A

details and scope of mission

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17
Q

what is strategy

A

plans for achieving organizational goals

provides focus for decision making

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18
Q

what are tactics

A

methods/actions taken to acomplish strategies

provide guidance to operations

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19
Q

what is an important part of strategy formulation

A

core competencies
environmental scanning
order qualifiers
order winners

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20
Q

what is core competencies

A

what brand image a company wants to have

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21
Q

part of environmental scanning

A

SWOT analysis

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22
Q

what are order qualifiers

A

minimum standards of acceptability for a potential purchase

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23
Q

what are order winners

A

goods or services that cause it to be better than the competitors

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24
Q

what is productivity

A

measure of effective use of recources

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25
what is productivity expressed as
ratio of output to input | output/input
26
examples for input
labor material energy ...
27
examples for output
goods and services
28
partial productivity measure
units of output/units of one input | e.g. labor productivity - unity per hour/shift
29
what are multifactor productivitiy measures
multiple denomitators added together units of output/combined units of input e.g. output/labor + material
30
importance for productivity measurements
include the units of measurements
31
importance for multifactor productivity measures
added denominators need to be the same unit
32
productivity growth equation
(current productivity - previous productivity) / previous productivity X 100
33
what does productivity growth express
how productivity has changed over time + -> increase - -> decrease
34
what is a forecast
statement about the future value of a variable of interest, such as demand
35
what needs to be always added to a forecast
a # of potential error
36
types of forcasting
qualitative | quantitative
37
qualitative forecast
based on knowledge and intuition | judgemental
38
quantitative forecast
time series | associative models
39
what is judgemental forcast
uses subjective inputs
40
examples of judgmental forecasts
``` executive opinions (longrange planning) sales force composite consumer surveys outside opinion opinions of managers and staff ```
41
what are sales force composite
retailer forecasts for the manufacturer
42
what are examples for outside opinions when it comes to judgemental forcasts
financial and consulting gurus and companies
43
mentod that underlies opinions of managers and staff when it comes to judgemental forecasts
delphi method -> series of questionnaires developed sequentially
44
subdivisions of time series forcasting
naive averaging trend seasonality
45
what is time series forecasting
sequence of observations taken at regular intervals over a period of time future values estimated from past values
46
types of variations in time series data
trend - longterm movement seasonality - short term regular variations cycles - longterm wavelike variations irregular variations - caused by unusual circumstances random variations - caused by chance
47
what is Naive forecasts
previous period´s actual value = forecast for any period
48
pros and cons of naive forecasts
pros: simple to use (no costs), easy understandable cons: no high accuracy
49
techniques of averaging time series forecasting
moving average weighted moving average exponential smoothing
50
moving averages
average a # of most recent actual data | needs to be updated as new values become recent
51
what effect does n (time span) has on moving average
the larger n the smoother the average curve | the short n the closer average follows volatile trends
52
pros and cons of moving average
pros: easy to compute and understand cons: all values are weighted equally
53
weighted moving average
assigns more weight o recent values in time series
54
what is important to remeber when choosing weight
needs to sum up to 1
55
how to choose weight
experience and trial and error | most recent past gets highest weight
56
how does weighted moving average have an advantage over normal moving average
it can vary the effects of past data points
57
exponential smoothing
based on previous forecast plus a percentage of forecast error
58
equation of exponential smoothiing
current forecast = previous forecast + alpha(actual - previous forecast)
59
relation between alpha and the forecast curve at exponential smoothing
the larger alpha, the more responsive the smaller alpha, smoother the forecast curve alpha = 1 -> naive forecast
60
models of seasonality
additive model | multiplicative model
61
additive model
seasonality factor expressed as quantitive | add or subtract from series average
62
multiplicative model
seasonality expressed as percentage of average amount
63
what is important for forecast accuracy
calculate error
64
measurements of forecasts accuracy
mean absoulte deviation (MAD) mean squarred error (MSE) Mean absolute percent error (MAPE)
65
why do different measures of forecasting accuracy exist
they describe forecasts from different perspectives (percentage can be different)
66
important factors that influence what forcasting technique is chosen
most important factors: cost, accuracy | other factors: availability of data, computer, time...
67
which forecasting technnique has the lowest costs
naive technique | the more complex the forecast, the more expensive
68
short term forecasting technique
moving average | exponential smoothing
69
long term forecasting
trend the delphi method executive opinion method