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This is a transportation problem in linear programming, where the goal is to minimize the transportation costs and time. The objective function will be based on the cost matrix \( C \) and the time matrix \( T \), subject to constraints given by the supply and demand at each source and destination.

Let's break it down:

- The values \( a_1, a_2, a_3, a_4 \) are the supply values at the sources.
- The values \( b_1, b_2, b_3, b_4, b_5 \) are the demand values at the destinations.
- The matrix \( C \) represents the costs of transporting goods from each source to each destination, and \( T \) represents the time taken for transportation from each source to each destination.

This is a typical optimization problem where you need to find the allocation of goods from sources to destinations such that the cost or time is minimized, subject to supply and demand constraints.

Do you need help solving this specific transportation problem, or do you want further clarification on any part of it?

Решить транспортную задачу по критериям минимальной стоимости перевозок и минимуму временных затрат на перевозку.

Learn how to solve a transportation problem based on minimizing transportation costs and time. This problem involves supply and demand constraints, along with a cost matrix and a time matrix. Suitable for students in Grades 11-12.

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