Finding the most effective way to move goods from a set of suppliers to a set of customers while minimizing transportation costs is the main goal of the linear programming transportation problem. It entails figuring out the best shipping amounts from several suppliers, each of which has a limited capacity for supply, to various destinations, each of which has a distinct demand. The objective is to minimize the total cost of transportation for shipping the goods while simultaneously meeting every customer's demand without going beyond supply at any one source. The northwest corner method, the least-cost method, and more sophisticated strategies like the simplex method or transportation simplex method can all be used to solve the transportation problem.

The transportation problem is a classic linear programming (LP) problem that deals with the optimal allocation of resources (e.g., goods, products) from sources (e.g., factories, warehouses) to destinations (e.g., customers, stores) to minimize transportation costs.

The transportation problem in linear programming (LP) is a type of optimization problem that aims to determine the most cost-effective way to transport goods from a set of suppliers to a set of consumers, while satisfying supply and demand constraints at each location.

It is a problem in linear programming involves optimizing the distribution of goods from multiple suppliers to multiple consumers, minimizing transportation costs while satisfying supply and demand constraints.

A type of linear programming problem designed to minimize the cost of distributing a product from M sources to N destinations.