Math Problem Statement
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:
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Decision Variables: Let represent the amount of goods transported from source to destination , where:
- = 1, 2, ..., (number of sources),
- = 1, 2, ..., (number of destinations).
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Objective Function: Minimize the total transportation cost: where is the cost of transporting one unit of goods from source to destination .
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Constraints:
- Supply Constraints: Ensure that the total quantity transported from each source does not exceed its supply: where is the supply available at source .
- Demand Constraints: Ensure that the total quantity transported to each destination meets its demand: where is the demand at destination .
- Non-negativity Constraints: Transportation quantities cannot be negative:
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Balanced Transportation Problem: If the total supply equals total demand (), 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:
- How is the transportation problem solved using the North-West Corner Rule?
- What is the difference between a balanced and unbalanced transportation problem?
- How does the Modified Distribution Method (MODI) optimize a transportation problem?
- Can you explain the role of dummy sources or destinations in transportation problems?
- 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)
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