Suchergebnisse

[EN] Supplier evaluation is a relevant task of supply chain management where multicriteria methods make great contributions to manufacturing industries. This is not the case in food distribution companies, which have a key role in providing safe and affordable food to society. The purpose of this research is to measure the sustainability of products and suppliers in food distribution companies through a multiple criteria approach. Firstly, the system proposed provides indicators to qualify products and assess the food quality, using the compensatory Multi-Attribute Utility Theory (MAUT) model. Secondly, these indicators are included in supplier evaluation, which takes economic, environmental, and social criteria into account. MAUT and Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE), a non-compensatory method, are used for supplier evaluation. This approach has been validated for fresh food in a supermarket chain, mainly using historical data. Partial indicators, such as food safety scores, together with global indicators of suppliers, inform the most appropriate decisions and the most appropriate relations between companies and providers. Poor performance in food safety can lead to the disqualification of some suppliers. MAUT is good for qualifying products and is easy to apply at the operational level in logistic platforms, while PROMETHEE is more suitable for supplier segmentation, as it helps to identify supplier strengths and weaknesses. ; This research was funded by the Regional Ministry of Education, Research, Culture and Sport of the Autonomous Government of the Valencian Region, Spain, grant number AICO/2017/066. ; Segura Maroto, M.; Maroto Álvarez, MC.; Segura García Del Río, B. (2019). Quantifying the Sustainability of Products and Suppliers in Food Distribution Companies. Sustainability. 11(21):1-18. https://doi.org/10.3390/su11215875 ; S ; 1 ; 18 ; 11 ; 21 ; Thies, C., Kieckhäfer, K., Spengler, T. S., & Sodhi, M. S. (2019). Operations research for sustainability ...

The debate on the multifunctionality of agriculture and its connections with territorial policies are the basis of the most appropriate approach to legitimize public interventions in the agricultural sector. The main obstacle of this public intervention is to know the goods and services provided by agricultural systems and elicitation of the social preferences for them. We created a descriptive approach for the multifunctionality of agricultural systems that is based on the review of the scientific literature focused on multifunctionality and the goods and services of agricultural systems. The review shows a large variety of activities and approaches, which can be grouped by their economic dimension, social dimension and environmental dimension. Multicriteria techniques, such as the Analytic Hierarchy Process (AHP), can help elicit the priorities and the relative importance of different functions attributed by the society as a whole. The authorities can take into account these results to inform and support their political decisions. This paper describes a methodological approach to determine the Social Welfare Function by using AHP. The proposed methodology is applied to the Huerta de Valencia , a rich peri-urban agricultural system with a variety of resources, around which there is an open political-institutional debate to define a protection scheme. The results are very interesting and useful to enrich this debate. ; The authors acknowledge the support received from the Spanish Ministry of Economy and Competitiveness through the research project "Multiple Criteria and Group Decision Making integrated into Sustainable Management" (Ref. ECO2011-27369). ; Marqués Pérez, I.; Segura García Del Río, B.; Maroto Álvarez, MC. (2014). Evaluating the Functionality of Agricultural Systems: Social Preferences for multifunctional peri-urban agriculture. The Huerta de Valencia as case study. Spanish Journal of Agricultural Research. 12(4):889-901. https://doi.org/10.5424/sjar/2014124-6061 ; S ; 889 ; 901 ; 12 ; 4 ; Abbler D, ...

[EN] Sustainable food production plays a key role at different levels, such as countries, producers and consumers worldwide. Commitments of countries to reducing environmental impact include livestock production due to its contribution to greenhouse gases and other pollutants. The purpose of this research is to design and validate optimization models to improve assessments of emissions from livestock. As feed consumed is the principal source of the emissions, we have developed an aggregated optimization model to assess feed intake and therefore emissions at country level, by using the best technical and statistical data. This model provides a common framework to assess livestock emissions for all countries and in particular in the European Union. The model has been validated in the Spanish intensive pig sector, which is the principal producer by head count of the European Union. Results from several scenarios, which differ in animal protein and energy needs, have been compared to those from other methodologies and the Spanish National Inventory System, which assesses greenhouse gases and pollutants annually. This model can be adapted to other species, and applied to other countries and at farm level. Finally, this model is a useful tool to evaluate the effects on the emissions related to changes in animal nutrition, price and supply of raw materials, as well as agricultural and environmental policies. ; This research was funded by the Regional Ministry of Education, Research, Culture and Sport of the Autonomous Government of the Valencian Region, Spain, grant number AICO/2017/066. ; Segura, M.; Maroto Álvarez, MC.; Ginestar Peiro, CM.; Segura García Del Río, B. (2018). Optimization Models to Improve Estimations and Reduce Nitrogen Excretion from Livestock Production. Sustainability. 10(7). https://doi.org/10.3390/su10072362 ; S ; 2362 ; 10 ; 7

[EN] Increasing food supply chain sustainability means having to deal with many conflicting aspects and involves producers, several departments in distribution companies, and consumers. The objectives of this research are to develop models to solve real-world supplier evaluation problems and validate them with real data on fresh fruits in a supermarket chain. Literature review and results from a survey with managers from purchasing, logistics, and quality departments of a food distribution company are used to establish criteria, to first model the assessment of products and, second, to model supplier evaluation. A multicriteria hybrid approach is proposed, using multi-attribute utility theory (MAUT) to assess the quality of products and Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) to complete their evaluation with strategic criteria to be included in the second phase. The results allow companies to rank suppliers by product and classify them according to the main criteria categories, such as product strategy, food safety, economic, logistic, commercial, green image and corporate social responsibility. A sorting approach is also applied to obtain ordered groups of suppliers. Finally, the models proposed can form the core of a decision support system in order to create and monitor the supplier base in food distribution companies, as well as to inform sustainable decision making. ; This research was funded by the Regional Ministry of Education, Research, Culture and Sport of the Autonomous Government of the Valencian Region, Spain, grant number AICO/2017/066. ; Segura Maroto, M.; Maroto Álvarez, MC.; Segura García Del Río, B.; Casas-Rosal, JC. (2020). Improving Food Supply Chain Management by a Sustainable Approach to Supplier Evaluation. Mathematics. 8(11):1-23. https://doi.org/10.3390/math8111952 ; S ; 1 ; 23 ; 8 ; 11 ; Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of ...

Forest Systems is an Open Access Journal. All articles are distributed under the terms of the Creative Commons Attribution License (CC by-nc/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ; [EN] Aim of study: There is a lack of empirical research that deals with sustainable forest management in Mediterranean regions, among the most vulnerable ecosystems. The main purpose of this work is to define the strategic criteria and objectives for sustainable forest management and aggregate the preferences of stakeholders in a Mediterranean region, using AHP and Goal Programming. Area of study: Valencian Community (Spain). Material and Methods: Firstly, we identified forest stakeholders and structured a decision hierarchy. Then a workshop was carried out to test and validate the proposed criteria and objectives, as well as a survey to determine social preferences. Secondly, another survey was conducted amongst experts to prioritize action plans. Main results: Stakeholders preferences gave the greatest importance to the environmental criteria (hydrological regulation and erosion, climate change mitigation and biodiversity) with an average weight of 40%. Social criteria (employment, recreational activities and landscape) had a weight of 38% and 22% the economic criteria case (wood, hunting and fishing, livestock, renewable energies, rural tourism and mining). The results showed that new products and services such as tourism, renewable energies, landscape, hydrological regulation and erosion control, biodiversity or climate change mitigation are very relevant objectives. We also prioritized action plans comparing them with the distribution of the administration budget. Research highlights: The environmental and social criteria are much more important than the economic ones in the regional planning of the Mediterranean forest, regardless of the method used to aggregate the social preferences and if the forest is public or private. ; The authors ...