Quiz 03

Diese Lernkarten behandeln Bestandsmanagement und Prognosemethoden auf universitärem Niveau, wobei insbesondere Losgrößenberechnungen, Kostenoptimierung und Nachfrageprognosen im Mittelpunkt stehen. Methoden wie Harris-Andler, gleitende Durchschnitte und exponentielle Glättung werden erklärt, um Lagerkosten, Bestellmengen und Vorhersagegenauigkeit zu analysieren. Studierende der Betriebswirtschaft oder Logistik profitieren von diesem Überblick, um wirtschaftliche Entscheidungen in der Praxis zu fundieren und Lagerhaltungskonzepte zu verstehen.
Cartes-fiches
19
Utilisateurs
9
Langue
Anglais
Catégorie
Culture générale
Niveau
Université
Créé / Mis à jour
29.12.2025 / 22.06.2026

Cartes-fiches

Which statements are true, and which are false?

Schreiner GmbH needed 10,000 wooden boards last year. For ordering and transporting the wooden boards, Schreiner GmbH incurs costs of CHF 1,000 per order. The storage cost rate is 10%. The value of a single wooden board is CHF 50. Calculate the optimal order quantity in pcs. using the Harris-Andler formula.

2000

Which statements are true, and which are false?

Assign the following lot-sizing methods to “Method without Cost Optimization” or “Method with Cost Optimization”.

Exact lot size

Silver-Meal method

Fixed lot size

Sliding economic lot size

Harris-Andler method

Refill to the highest level 

Lot size method (or calculation) according to Groff

Periodic lot size

Exact lot size → Method without Cost Optimization

Silver-Meal method → Method with Cost Optimization

Fixed lot size → Method without Cost Optimization

Sliding economic lot size → Method with Cost Optimization

Harris-Andler method → Method with Cost Optimization

Refill to the highest level → Method without Cost Optimization

Lot size method (or calculation) according to Groff → Method with Cost Optimization

Periodic lot size → Method without Cost Optimization

Assign the following lot-sizing methods to “Static Method” or “Dynamic Method”.

Harris-Andler method

Fixed lot size

Silver-Meal method

Periodic lot size

Refill to the highest level

Lot size method (calculation) according to Groff

Sliding economic lot size

Exact lot size

Harris-Andler method → Static Method

Fixed lot size → Static Method

Silver-Meal method → Dynamic Method

Periodic lot size → Dynamic Method

Refill to the highest level → Static Method

Lot size method (calculation) according to Groff → Dynamic Method

Sliding economic lot size → Dynamic Method

Exact lot size → Static Method

An online platform has sold the following number of shampoos during the past seven years (63, 76, 82, 97, 77, 88, 91). Determine, with the help of the moving average method, which sales can be expected for the upcoming eighth year, if the last five years are considered.

87

Which statements are true, and which are false?

Which statements are true, and which are false?

Determine the optimal order quantity using the Harris-Andler Formula.

  • Annual demand: 500 pieces

  • Transaction cost per order: CHF 50

  • Annual storage cost in % of the purchase price valued inventory: 15%

  • Purchase price per piece: CHF 70

  • Minimum inventory: 0 pieces

69

Which statements are true, and which are false?

Which statements are true, and which are false?

A car dealer has sold in each of the last six years the following number of cars (3000, 7000, 14000, 8000, 3000, 2000). Determine, with the help of the moving average method, which sales are to be expected for the upcoming seventh year, if the sales from the last four years are considered.

6750

What are forecasting methods and why are they relevant in the business context?

Forecasting methods are used to estimate future demand and help companies plan production, purchasing, and inventory.

How does the smoothing factor affect the forecasting error in first-order exponential smoothing?

The smoothing factor controls how much the forecast reacts to new demand data, with higher values reacting faster but being less stable.

What does the statement “all forecasts are wrong” mean and how do companies deal with it?

It means forecasts are never perfectly accurate, so companies use buffers, safety stocks, and regular forecast updates.

How do the simple average and the moving average calculation differ from one another?

The simple average uses all past data, while the moving average uses only the most recent data.

What are lot sizes and why are they differentiated?

Lot sizes describe how many units are ordered or produced at one time and differ to balance costs and efficiency.

How are lot sizes calculated?

Lot sizes are calculated using methods that consider demand and costs to decide how much to order or produce.

Why is the EOQ both helpful and limited for calculating the optimal order quantity?

EOQ is useful because it gives a simple optimal order size, but limited because it assumes constant demand.

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