Math Problem Statement

Explain the mathematical formulation of a transportation problem.

Solution

The question asks for the mathematical formulation of a transportation problem. Here's the detailed explanation:

Mathematical Formulation of a Transportation Problem

The transportation problem involves determining the most cost-effective way to distribute a product from multiple sources (supply points) to multiple destinations (demand points) while satisfying supply and demand constraints. The mathematical formulation is as follows:

  1. Decision Variables: Let xijx_{ij} represent the amount of goods transported from source ii to destination jj, where:

    • ii = 1, 2, ..., mm (number of sources),
    • jj = 1, 2, ..., nn (number of destinations).
  2. Objective Function: Minimize the total transportation cost: Z=i=1mj=1ncijxijZ = \sum_{i=1}^m \sum_{j=1}^n c_{ij} x_{ij} where cijc_{ij} is the cost of transporting one unit of goods from source ii to destination jj.

  3. Constraints:

    • Supply Constraints: Ensure that the total quantity transported from each source does not exceed its supply: j=1nxijsi,i=1,2,...,m\sum_{j=1}^n x_{ij} \leq s_i, \quad \forall i = 1, 2, ..., m where sis_i is the supply available at source ii.
    • Demand Constraints: Ensure that the total quantity transported to each destination meets its demand: i=1mxijdj,j=1,2,...,n\sum_{i=1}^m x_{ij} \geq d_j, \quad \forall j = 1, 2, ..., n where djd_j is the demand at destination jj.
    • Non-negativity Constraints: Transportation quantities cannot be negative: xij0,i,jx_{ij} \geq 0, \quad \forall i, j
  4. Balanced Transportation Problem: If the total supply equals total demand (i=1msi=j=1ndj\sum_{i=1}^m s_i = \sum_{j=1}^n d_j), the problem is balanced. Otherwise, a dummy source or destination is introduced to balance it.

This formulation provides a basis for solving the transportation problem using methods like the North-West Corner Rule, Least Cost Method, or Vogel's Approximation Method, followed by optimization techniques such as the Modified Distribution Method (MODI).

Would you like a more detailed breakdown or example of how this formulation works in practice?


Related Questions:

  1. How is the transportation problem solved using the North-West Corner Rule?
  2. What is the difference between a balanced and unbalanced transportation problem?
  3. How does the Modified Distribution Method (MODI) optimize a transportation problem?
  4. Can you explain the role of dummy sources or destinations in transportation problems?
  5. What are some real-world applications of transportation problems in logistics?

Tip:

Ensure you balance the problem before solving it; unbalanced problems often lead to incorrect solutions without proper adjustments.

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Math Problem Analysis

Mathematical Concepts

Linear Programming
Optimization
Transportation Problems

Formulas

Objective Function: Z = \sum_{i=1}^m \sum_{j=1}^n c_{ij} x_{ij}
Supply Constraints: \sum_{j=1}^n x_{ij} \leq s_i, \forall i = 1, 2, ..., m
Demand Constraints: \sum_{i=1}^m x_{ij} \geq d_j, \forall j = 1, 2, ..., n
Non-Negativity Constraints: x_{ij} \geq 0, \forall i, j

Theorems

Balancing Rule for Transportation Problems
Optimization Techniques in Linear Programming

Suitable Grade Level

Undergraduate Level (Operations Research or Advanced Mathematics)