Forecasting, Planning & Distribution Flashcards

1
Q

Type of Forecast by Time Horizon

A
  • Short range: up to 1 year, usually less than 3months
    • job scheduling, worker assignment
  • Medium range: 3months to 3 years
    • sales & production planning, budgeting
  • Long range: 3+ years
    • new production planning, facility location
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2
Q

Steps in Forecasting Process

A
  1. Determine purpose of forecast
  2. Establish time horizon
  3. Select technique
  4. Obtain, clean & analyze data
  5. Make the forecast
  6. Monitor the forecast
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3
Q

Objective Forecasting Approaches

A
  • Time Series: past predicts the future
    • Naive approach
    • Moving averages
    • Exponential smoothing
    • Trend projection
  • Causal / Relational: econometric models
    • A/F ratios
    • [linear regression]
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4
Q

Time Series Goal and Basic Components

A
  • Goal: generate the large number of short-term, SKU level, demand forecasts required for production, logistics and sales
  • Components:
    • Level: value where demand hovers around
    • Trend: persistent movement in one direction
    • Seasonal variations: periodic to calender movements
    • Cyclical movements: periodic movements not tied to calendar
    • Random fluctuations: irregular & unpredictable
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5
Q

Time Series: Naive method

A

Demand in the next period is the same as in the last period

-> sometimes can be effective and cost efficient

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6
Q

Time series: Moving average

A
  • A series of arithmetic means
  • Effective if there is little or no trend
  • used for smoothing since it provides overall impression of data over time
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7
Q

Time Series: Weighted moving average

A
  • Like MA, but with weights for different periods (add up to 1)
  • Weights are based on intuition!
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8
Q

Disadvantages of moving average methods

A
  • Require vast amount of historical data (all n periods)
  • When the demand has a trend, they lag and
    • overestimate demand for a downward trend
    • underestimate demand for an upward trend
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9
Q

Time series: Exponential smoothing

A
  • Form of weighted moving average
  • Weights decline exponentially
  • most recent data is weighed the most
  • Requires choice of smoothing constant alpha
    • from 1 to 0
    • subjectively chosen
  • Involves little record keeping of past data!
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10
Q

Metrics of Forecast Accuracy

A
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11
Q

Time series: Exponential smoothing with Trend Adjustment

A
  • Applies and exponential smoothing to the forecasts and the trend in period t
  • beta as smoothing constant for trend is introduced

=> reduces the lag and moves forecast closer to actual demand

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12
Q

A/F Ratios

A
  • Gather dataset related to products whose demand forecasts are obtained using similar forecasting techniques
  • Calculate the ratio between:
    • actual demand A
    • forecast demand F
  • Calculate mean µ and std. dev. σ of the ratios
  • Use the usual forecasting technique to obtain the new forecasted demand F
    • This expected demand will have
    • µD = µ * F and
    • σD = σ * F
  • Example: If µ = 1,09, std. dev. 0,25 and the obtained point forecast is 200, the expected demand will be 218 with std. dev. 50
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13
Q

Aggregate Planning: time horizon, goal, inputs & outputs

A
  • Medium term: typically 12 months
    • production plan
    • staffing plan
  • Objective: match supply and demand over the next few months on an aggregate level
  • Inputs
    • reasonably accurate forecast
    • definition of the aggregate unit to be considered (e.g. one model is defined as base model for product family)
    • production costs data
  • Output:
    • Production levels and resource requirements for one or few product families using similar resources
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14
Q

Two generic production strategies

Pros & cons

A

Chase strategy: production quantity equals the aggregate demand for each period

  • Lower inventory buildup
    • low holding costs
    • low obsolescence costs
  • Less backorders/stockouts
  • More flexible to demand changens
  • Applicable for service industries

Level strategy: production quantity equals the average demand for the whole planning horizon

  • No need for subcontracting
  • Predictable budgets
  • Stable workfore level
  • Constant production rate
    • higher resource utilization
    • lower capacity needed
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15
Q

Production

MRP: Material Requirement Planning

A
  • Takes a Master Production Schedule (MPS) and “explodes” it into detailes production/procurement schedules (timing+quantities) of all components and raw materials
    • Gross requirements: using end-items (level 0, e.g. mountain bikes), it generates the required quantities of immediate components (level 1, e.g. wheels), by using the bill of materials (BOM)
    • Net requirements: taking into account projected inventories (“we will have 8 wheels already at hand…”)
    • Time phasing: production and procurement lead times are taken into account to position requirements in time
    • Assumes necessary capacity is available
  • Inputs:
    • MPS
    • Inventory Records
    • BOM
  • Output:
    • Recommended production schedule
    • Recommended purchasing schedule
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16
Q

Distribution

Criteria to chose the right transportation mode

A
  • Quantities moved
  • nature / physical characteristics of goods
  • Frequency of transportation
  • Transportation time
  • Lead time variance / Reliability
  • Lead time customer requirements
  • Customer location (distance, concentration)
  • Economies of scale, scope and density
17
Q

Direct operations:

Truckload

A
  • Pros:
    • door to door service
    • speed
    • costs (if truck is full)
  • Cons
    • costs (if truck is not full)
    • lower frequency
    • high inventory
  • Carriers
    • Own fleet
    • Truck rental
18
Q

Consolidated Operations:

Less than Truckload (LTL)

A
  • Pros
    • transport in small quantities
    • high frequency
    • low inventory
  • Cons:
    • longer lead time due to milk runs
    • high costs
  • Carriers:
    • Mory, Exel, Danzas…
19
Q

Consolidated Operations:

Package delivery

A
  • Pros
    • Flexibility
    • Speed
  • Cons
    • High costs
    • limited to small parcels
  • Carriers
    • Postal service
    • FedEx, UPS
20
Q

Distribution related costs

A
  • Transportation
  • Facility
  • Processing
  • Inventory
  • Service Level
21
Q

Why local depots?

A
  • Faster customer service, shorter delivery lead times
  • Lower transportation costs; freight consolidation from central warehouse to local market
  • Lower capital burden on clients: short lead times require clients to have less safety stock
22
Q

Why central warehouse?

A
  • Faster service for local depots
  • Lower transportation costs: freight consolidation from factory/supplier to central warehouse
  • Risk pooling: lower overall safety stock
  • Single point of contact for factory/suppliers: one office for supplier management, economies of scale: producing & ordering large lots, quantity discounts
23
Q

Distribution strategies:

Direct Shipment vs. Warehousing

A
  • Advantages
    • less handling = less damage
    • less inventory = less holding costs
    • transportation lead time decreases
  • Disadvantages
    • higher transport costs (LTL)
    • smaller production runs
    • lead time for end customer increses
24
Q

Distribution strategies:

Cross Docking

A
  • Moving products from inbound to outbound vehicle without storage inbetween
  • Benefits
    • reduced labor costs
    • reduced inventory holding costs
    • reduced transportation costs (TL in- and outbound)
  • Requirements:
    • High demand
    • Low variance
    • Easy to handle items
    • Periodic coordinated orders from suppliers