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Question

A company stores products in a warehouse. Storage bins in this warehouse are specified by their aisle, location in the aisle, and self. There are 50 aisles, 85 horizontal locations in each aisle, and 5 shelves throughout the warehouse. What is the least number of products the company can have so that at least two products must be stored in the same bin?

The correct answer is

21251

Understanding the Warehouse Storage Problem

This problem asks for the minimum number of products a company needs to have so that, when stored in a warehouse, at least two products are guaranteed to be in the same storage bin. This is a classic application of the Pigeonhole Principle.

Applying the Pigeonhole Principle

The Pigeonhole Principle states that if you have more items than containers, then at least one container must hold more than one item. In this scenario:

  • The products are the "pigeons".
  • The storage bins are the "pigeonholes".

To guarantee that at least two products are stored in the same bin, the number of products must be one more than the total number of available storage bins.

Calculating the Total Number of Storage Bins

The storage bins are defined by three dimensions:

  • Aisle number
  • Horizontal location within the aisle
  • Shelf number

We are given the number of options for each dimension:

  • Number of aisles = 50
  • Number of horizontal locations per aisle = 85
  • Number of shelves = 5

The total number of unique storage bins is the product of these numbers:

\( \text{Total Bins} = \text{Number of Aisles} \times \text{Number of Horizontal Locations} \times \text{Number of Shelves} \)

Let's calculate this value:

\( \text{Total Bins} = 50 \times 85 \times 5 \)

We can perform the multiplication step-by-step:

\( 50 \times 85 = 4250 \)

\( 4250 \times 5 = 21250 \)

So, there are 21250 distinct storage bins in the warehouse.

Determining the Minimum Number of Products

According to the Pigeonhole Principle, to guarantee that at least two products share a bin, the number of products must be one more than the total number of bins.

\( \text{Minimum Products} = \text{Total Bins} + 1 \)

\( \text{Minimum Products} = 21250 + 1 \)

\( \text{Minimum Products} = 21251 \)

Therefore, the company must have at least 21251 products to ensure that at least two products are stored in the same bin.

Summary of Calculation

Storage Dimension Number
Aisles 50
Horizontal Locations per Aisle 85
Shelves 5
Total Storage Bins \( 50 \times 85 \times 5 = 21250 \)
Minimum Products (Total Bins + 1) \( 21250 + 1 = 21251 \)

This calculation confirms that with 21251 products and 21250 bins, at least one bin must contain more than one product.

Revision Table: Key Concepts

Concept Description Application Here
Pigeonhole Principle If \( n \) items are put into \( m \) containers, with \( n > m \), then at least one container must contain more than one item. Used to find the minimum products (items) needed to guarantee collision in bins (containers).
Total Combinations Multiplying the number of choices for each independent characteristic to find the total unique possibilities. Used to calculate the total number of unique storage bins based on aisle, location, and shelf.

Additional Information: Pigeonhole Principle Examples

The Pigeonhole Principle is a fundamental concept in combinatorics and discrete mathematics. Here are a few simple examples to illustrate its use:

  • If you have 13 people, at least two of them must have been born in the same month (13 people, 12 months).
  • If you pick 5 cards from a standard deck of 52, at least two cards must be of the same suit (5 cards, 4 suits).
  • In any group of 6 people, there are either 3 mutual friends or 3 mutual strangers (Ramsey Number \(R(3,3)=6\), a related concept).

Understanding this principle helps solve problems involving guarantees about distributions when items are placed into categories or containers.

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Important Questions from Data Warehousing and Data Mining

  1. In a DFD, external entities are represented by a

  2. Which of the following terms best describes Git?

  3. Data warehouse contains ______ data that is never found in operational environment.

  4. Data Scrubbing is

  5. Which of the following is not a Clustering method?

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