TecnoCampus Foundation
eCampus
University Business
eCampus

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General information

Subject type: Optional

Coordinator: Maria Dolors Celma Benaiges

Trimester: Third term

Credits: 3

Teaching staff: 

Rosa Herrero Antón
Noemí Ruiz Munzón 

Academic year: 2025

Teaching course: 1

Languages ​​of instruction

  • Spanish

Course resources and software can be in Spanish or English. 

Competencies / Learning Outcomes

Basic skills

  • CB6-Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context

  • CB7. That students know how to apply the knowledge acquired and their ability to solve problems in new or little-known environments within broader (or multidisciplinary) contexts related to their area of ​​study. 

  • CB8 - That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments

Specific skills

  • CE1. Show critical distance autonomy in issues or issues related to the maritime business, logistics and supply chain and in the application of innovative ideas in these areas.

  • CE2. Apply tools and methodologies that facilitate creative and innovative thinking in everyday situations related to the supply chain environment and logistics and maritime businesses.

  • CE3. Plan analysis in local and global business environments in order to anticipate new market opportunities that could be transformed into commercial products

  • CE5. Design and implement logistics systems, assessing the different possible alternatives, technical and resource constraints and taking into account the coordinated direction and management along the supply chain.

  • CE6. Evaluate the performance of the entire logistics system, taking into account the fulfillment / non-fulfillment of the objectives of quality, cost and service planned to detect and prioritize areas for improvement.

  • CE7. Manage (plan, schedule and control) the flow of materials and information (supply chain flow) through the coordinated direction and management of the areas of purchasing, production and physical distribution of the company. 

Transversal competences

  • CT1. Show willingness to learn about new cultures, experiment with new methodologies and encourage international exchange in the context of logistics, supply chain and maritime business.

  • CT2. Demonstrate entrepreneurial leadership and leadership skills that build personal confidence and reduce risk aversion. 

  • CT3. Develop tasks applying the acquired knowledge with flexibility and creativity and adapting them to new contexts and situations. 

Presentation of the subject

The objective of the subject is to introduce students to the techniques of mathematically modeling and formulating decision problems (heuristics and metaheuristics) that arise in logistics and supply chain management.

In addition, knowledge will be acquired about the analytical resolution (simplex, dual, primal algorithm, sensitivity study, etc.) and graphical (in the case of two variables) of linear and dynamic programming problems. 
 

Contents

The subject will focus on solving logistics problems formulated as deterministic optimization models. 
Linear programming and discrete optimization problems.
The Simplex algorithm for linear programming and branch and bound search for discrete problems.
Dynamic programming and other solution methods.

Activities and evaluation system

Continuous assessment is combined with group activities and an individual face-to-face exam.

Summary of the evaluation system:

  • Continuous evaluation in group activities:
    • A1. Beer Game (5%)
    • A2. Weighted average of several practices in Linear Programming (35%)
    • A3. Metaheuristic problem (10%)
  • EX. Final exam that is taken individually and corresponds to 50%. To make an average, the exam must be passed with a minimum score of 4,0 out of 10.

Final grade:

  • If the final exam grade >= 4: Final grade = 5% A1 + 35% A2 + 10% A3 + 50% EX
  • If the final exam grade < 4: Final Grade = EX

 

Bibliography

Basic

BL Golden, S. Raghavan, & EA Wasil, “The Vehicle Routing Problem: Latest Advances
and New Challenges” Springer, Vol. 43, 2008.
 

BL Nelson, “Stochastic Modeling: Analysis and Simulation”, Dover, 1995.

D. Luenberger & Y. Ye, "Linear and Nonlinear Programming", Springer Verlag, 2008

FS Hillier & GJ Lieberman, “Introduction to Operations Research”, McGraw Hill, 2001.

G. Gutin & AP Punnen, “The Traveling Salesman Problem and Its Variations”, Springer
Science & Business Media, Vol. 12, 2002.

WK Grassmann & JP Tremblay, “Logic and Discrete Mathematics”, Ed. Prentice Hall,
1996.