Public University of Navarre

Academic year: 2021/2022 | Previous academic years:  2020/2021  |  2019/2020  |  2018/2019  |  2017/2018 
Bachelor's degree in Industrial Engineering at the Universidad Pública de Navarra
Course code: 242006 Subject title: GREEN LOGISTICS FOR SMART CITIES
Credits: 6 Type of subject: Optative Year: 4 Period: 2º S
Department: Estadística, Informática y Matemáticas
LERA LOPEZ, FERNANDO   [Mentoring ] FAULIN FAJARDO, FCO. JAVIER (Resp)   [Mentoring ]

Partes de este texto:


Learning outcomes

R03. Theoretical background for the decision-making.

R12. Tactical and strategic decisions related to the production/operations area.

R13. Basic knowledge of the strategic and operational problems of logistics and transport management.

R17. Use of computers software to calculate transportation routes.

R19. Basic knowledge of the smart cities design

R20. Basic knowledge of logistics and transportation from the economic and environmental points of view.

R24. Basic knowledge of the urban distribution of goods and merchandises, and their environmental implication

R25. Basic knowledge of sustainability strategies in waste management.

R28. Basic knowledge of the use of bikes and electric vehicles in urban logistics.



Methodology-Activity Class hours in the virtual campus Non class hours in the virtual campus
Reading and documents study 25  
Debates and group tutoring 10  
Individual study   30
Objective assessment tests 2  
Individual tutoring 3  
Assignments and study cases 20 60
TOTAL 60 90



The subject evaluation will be made taking into account the following criteria:

1.-Course feedback (20%): The active participation of the students in the subject will be highly considered. The students¿ interventions will be counted in the forums / blogs of the subject, apart from resolution of objective tests.

2.- Development of periodic assignments (30%): This type of tasks seeks to measure the process of knowledge acquisition in the subject, taking into account the point of departure of each student, and their progress.

3.- Case study developments (50%): The application of quantitative techniques to cases of real companies allows to show the real knowledge of the subject by the student. Each student will be asked to solve at least one practical case and will count for their realization of the teaching assistant's help. The resolution of these practical cases are mandatory for passing of the subject.

Learning outcomes Evaluation system Weight (%) Can be repeated?
All Course feedback 20% NO
All Periodic assignments 30% NO
All Cases study analysis 50% YES



PART I: Introduction to Logistics and Transportation.

Topic 1: Introduction to Logistics and Supply Chain Management. Strategy and Planning.

Topic 2: Transport Fundamentals and Transport Decisions.

Topic 3: Decision Making in Logistics and Transport. Main computational algorithms to decision makings: routes optimization, supply chain management optimization, and facilities location decisions.


PART II: Green Logistics and Sustainable Transport in Smart Cities

Topic 4: Environmental sustainability in smart cities: An introduction.

Topic 5: Assessing the external impact of freight transport.  Evaluating and internalizing the environmental costs of Logistics.

Topic 6: Urban distribution and smart cities

Topic 7: Vehicle routing optimization under environmental objectives. Use of electric vehicles, bikes, and tricycles for the goods delivery.

Topic 8: Increasing fuel efficiency in the road freight sector with the purpose of sustainability. Alternative fuels and freight vehicles: status, costs and benefits, and growth.

Topic 9: Sustainability strategies for city logistics. Reverse logistics for the management of waste.

Topic 10: E-business, e-logistics, and the environment. Advanced themes in green logistics: distributions by drones, 3D printing, and peak freight.



Access the bibliography that your professor has requested from the Library.

a)         Bibliografía básica:

1)    Faulin, J., Grasman, S., Juan, A., Hirsch, P (2019): Sustainable Transportation and Smart Logistics: Decision Making Methods and Solutions. Elsevier. Cambridge. MA. USA

2)    McKinnon, A., Browne, M., Piecyk, M., Whiteing, A. (2015): Green Logistics. Improving the Environmental Sustainability of Logistics. Kogan Page Limited. London. UK.


b)        Bibliografía complementaria:

1)    Ballou, R.H. (2004): Business Logistics. Supply Chain Management. Prentice Hall. NJ.

2)    Coyle, J.J., Novak, R.A., Gibson, B., and Bardi, E.J. (2011): Transportation: A Supply Chain Perspective. South Western. Cencage Learning. Mason, OH

3)    Fahimnia, B., Bell, M.G.H., Hensher, D.A., Sarkis, J. (2015): Green Logistics and Transportation. A Sustainable Supply Chain Perspective. Springer. New York. NY.

4)    Faulin, J., Juan, A., Grasman, S. and Fry, M.J. (2013): Decision Making in Service Industries: A Practical Approach. CRC Press. Taylor and Francis Group. Boca Raton. FL.

5)    Psaraftis, H.N.(ed) (2016): Green Transportation Logistics. The Quest for Win-Win Solutions. Springer.London. UK.





Microsoft Excel ( )



English. A C1 level of English is recommended to follow this subject.