Chapter 12 Flashcards

1
Q

Demand Planning

A

the combined process of forecasting and managing customer demands to create a planned pattern of demand that meets the firm’s operational and financial goals

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2
Q

Demand Forecasting

A

a decision process in which managers predict demand patterns

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3
Q

Demand Management

A

a proactive approach in which managers attempt to influence the pattern of demand

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4
Q

Cost of Overestimating Demand (3)

A

holding costs
excess inventory costs
wages

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5
Q

Cost of Underestimating Demand (3)

A

lost sales
lower product availability
lost goodwill

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6
Q

Information Sources for Forecasting (3)

A

historical demand figures
business and economic metrics
management judgement

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7
Q

Components of Demand Management (3)

A

Pricing
Promotion
Order Scheduling

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8
Q

Patterns of Demand (4)

A

Stable
Seasonality, or Cycles
Trend
Shift, or Step

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9
Q

Autocorrelation

A

the correlation of current demand values with demand values

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10
Q

Forecast Error

A

the difference between a forecast and the actual demand

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11
Q

Five Steps in Forecasting Process

A
  1. Define Users and Processes
  2. Identify Data Sources
  3. Select Forecasting Techniques
  4. Document Techniques
  5. Monitor and Improve the Process
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12
Q

Grassroots Forecasting

A

a technique that seeks inputs from people who are in close contact with customers and products

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13
Q

Delphi Method

A

forecasts developed by asking a panel of experts to individually and repeatedly respond to a series of questions

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14
Q

Time Series Analysis Models

A

forecasting models that compute forecasts using historical data arranged in the order of occurrence

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15
Q

Naive Model

A

a simple forecasting approach that assumes that recent history is a good predictor of the near future

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16
Q

Weighted Moving Average

A

a forecasting model that assigns a different weight to each period’s demand according to its importance

17
Q

Exponential Smoothing Model =

A

Ft+1 = Ft + alpha (dt - Ft)

18
Q

Exponential Smoothing (def.)

A

a moving average approach that applied exponentially decreasing weights to each demand that occurred farther back in time

19
Q

Regression Analysis

A

a mathematical approach for fitting an equation to a set of data

20
Q

Seasonal Index

A

an adjustment factor applied to forecasts to account for seasonal changes or cycles in demand

21
Q

Simulation Models

A

sophisticated mathematical programs that offer forecasters the ability to evaluate different business scenarios that might yield different demand outcomes

22
Q

Focused Forecasting

A

a combination of common sense inputs from frontline personnel and a computer simulation process

23
Q

Forecast Bias

A

the tendency of a forecasting technique to continually over predict or under-predict demand.

24
Q

Mean Percent Error (MPE)

A

average error represented as a percentage of demand

25
Q

Tracking Signal

A

the ratio of a running total of forecast error to MAD that indicates when the pattern of forecast error is changing significantly

26
Q

Adaptive Forecasting

A

a technique that automatically adjusts forecast model parameters in accordance with changes in the tracking signal

27
Q

Three “Rules” of Situational Forecasting

A
  1. Short-term more accurate than long-term
  2. Aggregate demand more accurate than isolated
  3. Multiple sources of data more accurate
28
Q

Three Tactics of Demand Management

A
  1. Pricing changes, promotions, etc.
  2. Manage timing of order fulfillment
  3. Substitution of products, providers
29
Q

Postponable Product

A

product designed so that it can be quickly configured to its final form quickly and inexpensively once actual customer demand is known

30
Q

Collaborative Planning, Forecasting, and Replenishment (CPFR)

A

a method by which supply chain partners periodically share forecasts, demand plans, and resource plans in order to reduce uncertainty and risk in meeting customer demand