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?
21251
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.
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:
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.
The storage bins are defined by three dimensions:
We are given the number of options for each dimension:
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.
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.
| 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.
| 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. |
The Pigeonhole Principle is a fundamental concept in combinatorics and discrete mathematics. Here are a few simple examples to illustrate its use:
Understanding this principle helps solve problems involving guarantees about distributions when items are placed into categories or containers.
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