A proposal for sorting a projects portfolio through the ELECTRE TRI method focused on the European strategy

Rosa Micale, Antonio Giallanza, Gabriella Li Puma, Giada La Scalia


In recent years, the partnerships between private companies and public organizations are becoming key elements for improving local development, territorial competitiveness and for delivering innovation. These collaborations are widely promoted by the European Framework Programme for Research and Innovation thanks to the provision of several instruments, such as Horizon 2020. In this context, competitiveness’s improvement of the territory by means of research and innovation actions is supported by the technological districts. In Sicily, the AgroBioPesca district has attempted a strategic action named “Call for ideas” in order to design its own roadmap for research and innovation in agri-food sector. For this purpose, many proponents of public and/or private sectors presented several innovative project ideas referred to specific Technological Trajectories. This paper aims at providing an instrument able to select the most suitable project ideas in order to constitute the AgroBioPesca projects portfolio. To such an aim, the authors propose the application of the multiple criteria sorting method ELECTRE TRI considering criteria deduced by the Horizon 2020 guidelines and documents. The application of this methodology allows subdividing the project ideas received into project ideas to be rejected, reviewable and eligible for funding. Moreover, to consider the uncertainty of the decision makers’ judgment, the authors propose a new version of the method in which the crisp judgment is converted into an interval. A sensitivity analysis has lastly been conducted to study the weaknesses of non-financiable projects.


Project Management; Project Portfolio; Multi Criteria Decision Making; ELECTRE TRI method; Sensitivity analysis.


Lerro, A., Jacobone, F. (2014). Smart growth, smart specialisations strategies and impact of the technological districts: the moderating effect of business, geographical and institutional factors. International Journal of Knowledge-Based Development, 5, 221-237.

Lerro, A., Schiuma, G. (2015). Assessing performance and impact of the technological districts (TDs): General modelling and measurement system. Measuring Business Excellence, 19, 58-75.

European Commission. (2011). Horizon 2020 – The Framework Programme for Research and Innovation. Brussels, COM 808 final.

Mousseau, V., Slowinski, R., Zielniewicz, P. (2000). A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support. Computers & Operations Research, 27, 757-777.

Roy, B. (1991). The outranking approach and the foundations of ELECTRE methods. Theory Decision, 31, 49-73.

Roy, B., Vanderpooten, D. (1996). The European school of MCDA: Emergence, basic features and current works. Journal of Multi-Criteria Decision Analysis, 5, 22-38.

Siskos, Y., Grigoroudis, E., Krassadaki, E., Matsatsinis, N. (2007). A multicriteria accreditation system for information technology skills and qualifications. European Journal of Operational Research, 182(2), 867-885.

Sánchez-Lozano, J. M., Henggeler Antunes, C., García-Cascales, M. S., Dias, L. C. (2014). GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain. Renewable Energy, 66, 478-494.

Mota, C. M. d. M., de Almeida, A.T. (2012). A multicriteria decision model for assigning priority classes to activities in project management. Annals of Operations Research, 199, 361-372.

Silva, S., Alçada-Almeida, L., Dias, L.C. (2014). Development of a web-based multi-criteria spatial decision support system for the assessment of environmental sustainability of dairy farms. Computers and Electronics in Agriculture, 108, 46-57.

Karakosta, C., Doukas, H., Psarras, J. (2009). Directing clean development mechanism towards developing countries' sustainable development priorities. Energy for Sustainable Development, 13(2), 77-84.

Barr, J. T., Schumacher, G.E. (2003). The need for a nutrition-related quality of life measure. Journal of the American Dietetic Association, 103 (2), 177-180.

Velten, J., Lavallee, K.L., Scholten, S., Meyer, A.H., Zhang, X.-C., Schneider, S., Margraf, J. (2014). Lifestyle choices and mental health: a representative population survey, BMC Psychology 2, 58.

Kawada, T., Otsuka, T., Inagaki, H., Katsumata, M., Li, Q., Li, Y.-J. (2011). Relationship among lifestyles, aging and psychological wellbeing using the General Health Questionnaire 12-itemss in Japanese working men. Aging Male, 14(2), 115-118

Chapman, C. D., Benedict, C., Brooks, S. J., Schiöth, H. B. (2012). Lifestyle determinants of the drive to eat: A meta-analysis. American Journal of Clinical Nutrition, 96, 492-497.

Sproesser,G., Klusmann, V., Ruby,M.B., Arbit, N., Rozin, P., Schupp, H.T., Renner, B. (2018). The positive eating scale: relationship with objective health parameters and validity in Germany, the USA and India. Psychology & Health, 33(3), pp. 313-339

Bánáti, D. (2014). European perspectives of food safety. Journal of the Science of Food and Agriculture, 94, 1941-1946.

European Union. Regulation (eu) no 1169/2011 of the european parliament and of the council 2011. Official Journal of the European Union.

Rohr, A., Luddecke, K., Drusch, S., Muller, M.J., von Alvensleben, R. (2005). Food quality and safety – consumer perception and public health concern. Food Control, 16, pp. 649- 655.

Bilek, S.E., Turantaş, F. (2013). Decontamination efficiency of high power ultrasound in the fruit and vegetable industry, a review. International Journal of Food Microbiology, 166 (2013), 155–162.

da Rocha Neto, A.C., Beaudry, R., Maraschin, M., Di Piero, R.M., Almenar, E. (2019). Double-bottom antimicrobial packaging for apple shelf-life extension. Food Chemistry, 279(1), 379-388

La Scalia, G., Settanni, L., Micale, R., Enea, M. (2016). Predictive shelf life model based on RF technology for improving the management of food supply chain: A case study. International Journal of RF Technologies: Research and Applications, 7(1), 31-42.

Bendicho, S., Barbosa-Canovas, G.V., Martin, O. (2002). Milk processing by high intensity pulsed electric fields. Trends in Food Science and Technology, 13, 195-204.

Wuytack, E. Y., Diels, A. M. J., Michiels, C.W. (2002). Bacterial inactivation by high-pressure homogenisation and high hydrostatic pressure. International Journal of Food Microbiology, 77, 205-212.

Ponce, A. G., Roura, S. I., Del Valle, C. E., Moreira, M. R. (2008). Antimicrobial and antioxidant activities of edible coatings enriched with natural plant extracts: In vitro and in vivo studies. Postharvest Biology and Technology, 49(2), 294-300.

De Meester, F., Watson, R.R., Zibadi, S. (2013). Omega 6/3 Fatty acids: functions, sustainability strategies and perspectives. In: De Meester, F., Watson, R.R., Zibadi, S. (eds). Humana press, Springer, New York.

World Population Prospects: the 2017 revision – Key finding and advanced tables, United Nations.

Foresight. The Future of Food and Farming (2011). Final Project Report, The Government Office for Science, London.

Wang, N., Li, Z. (2013). Wireless sensor networks (WSNs) in the agricultural and food industries. Robotics and Automation in the Food industry.

Melnyk, S. A., Sroufe, R. P., Calantone, R. (2003). Assessing the impact of environmental management systems on corporate and environmental performance. Journal of Operations Management, 21, 329-351.

Boonstra W. J., Valman, M., Björkvik, E. (2018). A sea of many colours – How relevant is Blue Growth for capture fisheries in the Global North, and vice versa?. Marine Policy, 87, 340-349.

Klinger, D.H., Maria Eikeset, A., Davíðsdóttir, B., Winter, A. M., Watson, J.R. (2018). The mechanics of blue growth: Management of oceanic natural resource use with multiple, interacting sectors. Marine Policy, 87, pp. 356-362.

Rebitzer, G., Ekvall, T., Frischknecht, R., Hunkeler, D., Norris, G., Rydberg, T., Schmidt, W.-P., Suh, S., Weidema, B. P., Pennington, D. W. (2004). Life cycle assessment Part 1: Framework, goal and scope definition, inventory analysis, and applications. Environment International, 30, 701-720.

La Scalia, G., Micale, R., Cannizzaro, L., Marra, F.P. (2017). A sustainable phenolic compound extraction system from olive oil mill wastewater. Journal of Cleaner Production, 142, 3782-3788.

Chisti, Y., (2007). Biodisel from microalgae. Biotechnology Advances, 25 (3), pp. 294-306.

Kadziński, M., Słowiński, R. (2015). Parametric evaluation of research units with respect to reference profiles. Decision Support Systems, 72, 33-43.

Mousseau, V., Figueira, J., Naux, J. (2001). Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results. European Journal of Operational Research; 130, 263-275.

Roy, B., Bouyssou, D. (1993). Aide multicritère à la decision: Méthodes et Cas. Economica, Paris.

Figuera, J., Mousseau, V., Roy, B. (2005). Electre methods. In: Figuera, J., Greco, S., Ehrgott, M. (eds), Multi CriteriaDecision Analysis: State of art surveys. Springer, New York.

Full Text: PDF


  • There are currently no refbacks.


The Journal of Modern PM (ISSN: 2317-3963) | info@journalmodernpm.com