Modelo de Transporte - Investigación de Operaciones
Learn data modeling, problem-solving, and result interpretation. Gain practical skills for effective data analysis and insights.
Course Content
Modelo de Transporte - Investigación de Operaciones is an all-levels Udemy course taught by Jorge Luis Laureán Puente. It runs 44m, is taught in Spanish, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 30 reviews, with 126 students enrolled. It is a paid course, last updated September 2022.
This course delves into the algorithms for finding initial solutions to transportation problems, aiming for the lowest possible cost. You'll learn about the core algorithm for achieving the optimal solution and how to handle various scenarios that may arise during its application.
We'll cover the manual solution of fundamental algorithms to obtain a provisional solution and its corresponding objective. The focus will then shift to obtaining the optimal value using the renowned Arroyo Crossing Method. This includes interpreting the results for the solved problem and similar problems that can be modeled using transportation model constraints.
A key component of this course is practical application. We'll utilize Solver in Excel for a more immediate solution to these models, streamlining the process of finding both initial solutions and calculating the optimal solution through direct modeling.
Finally, we'll address cases where the Arroyo Crossing Method isn't suitable for manual solution, demonstrating the power of Solver-Excel to overcome these limitations. This will include a practical example of a non-optimizable problem solved using Excel's Solver.
Key topics include:
- Transportation Problem Algorithms
- Optimal Solution Methods
- Arroyo Crossing Method
- Solver in Excel
- Cost Minimization
- Initial Solution Strategies
- Model Formulation
- Optimization Techniques
- Excel Solver Applications
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