A SMARTS-Choquet’s approach for multicriteria decision aid applied to the innovation indexes in sustainability dimensions

Multi-Criteria Decision Analysis (MCDA) for sustainability assessment in food sector. A systematic literature review on methods, indicators and tools

In the last decades, several studies have highlighted the significant impacts of the food sector. Therefore, enhancing sustainability within this sector has become of paramount importance. A crucial step towards achieving this goal involves the definition and implementation of effective sustainability metric and measurements. In this regard, the adoption of multi-criteria decision analysis (MCDA) methods can be seen as one of the most suitable and promising approach to comprehensively capture the complex and broad-ranging effects of agricultural practices and food supply chains. In such context, a systematic review of the scientific literature on multi-criteria approaches and tools for measuring the sustainability of food supply chains (harvest and post-harvest stages) has been carried out, resulting in the selection and analysis of 42 articles. To delve into the selected articles, three main areas of focus have been identified. The first about MCDA methods and their features, revealing the most adopted methods for sustainability assessments of food supply chains. The second, focusing on the participatory approach, led to the definition of a stakeholder's engagement map, highlighting the typology of stakeholders involved, the reasons of their involvement and engagement methods. Lastly, the third focus is related to the analysis and classification of indicators adopted in each study and the sustainability dimensions to which they refer to. The results of the present review study provide a comprehensive overview of the essential aspects to be considered when developing a MCDA for sustainability assessment in the food sector, serving as a valuable resource for both scholars and practitioners.

Challenges and Benefits of Sustainable Industry 4.0 for Operations and Supply Chain Management—A Framework Headed toward the 2030 Agenda

Currently, Industry 4.0 (I4.0) represents a worldwide movement to improve the productivity and efficiency of operations and supply chain management (OSCM), which requires rethinking and changing the mindset of the way in which products are manufactured and services are used. Although the concept of I4.0 was not popularised in the ratification of the 2030 Agenda, I4.0 is a watershed in the implementation of the Sustainable Development Goals (SDGs). It can serve as a platform for the alignment of the SDGs with the ongoing digital transformation. However, the challenges to the integration of I4.0 and sustainability in OSCM, and the benefits of this integration, in line with the SDGs, remain unclear. Moreover, there is a lack of a standard structure that establishes links between these challenges and benefits to strategically guide organisations on the journey towards a sustainable OSCM 4.0 (S-OSCM4.0) aligned with the SDGs. Thus, the purpose of this paper is to propose an S-OSCM4.0 framework for organisations to attain sustainability and I4.0 in OSCM, in line with the 2030 Agenda. Based on a systematic literature review, 48 articles that complied with the selection criteria were analysed using content analysis. The research findings were synthesised into taxonomies of challenges and benefits, and these categories were linked into a step-by-step framework, following an inductive approach. The proposed framework represents a novel artefact that integrates taxonomies in order to holistically achieve sustainable digitalisation for people, prosperity and planet benefits, and sheds light on the potential contributions of S-OSCM4.0 to the SDGs.

Assessment of sustainable development through a multi-criteria approach: Application in brazilian municipalities

In the last decades, there has been an increase in impacts on the environment, driven by the industrialization process. As a result, society's social and environmental awareness increased, and business organizations began to promote corporate social responsibility initiatives to positively contribute to better working and environmental conditions, and other sustainability issues. This article aims to verify the performance of 217 Brazilian municipalities from 31 indicators segmented in the three dimensions of sustainability (economic, environmental, and social), selected from the literature review, to contribute to the sustainable investment strategy of organizations. To this end, we used the multi-criteria decision making method, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and proposed an analytical sustainability dashboard. The main results of this paper were the sustainable performance rankings of the municipalities and the dashboard with three analytical panels that contributed to identifying the points of improvement of each municipality, consequently contributing to the investment strategy in these locations. This research consists, therefore, of an important methodology, combining the multi-criteria method and the sustainability dashboard, to assess the sustainable development of the municipalities in the triple bottom line dimensions.

Multi-Criteria Decision Method for Sustainable Watercourse Management in Urban Areas

The rapid urban growth followed by disordered occupation has been generating significant impacts on cities, bringing losses of an economic and social nature that directly interfere with the well-being of the population. In this work, a proposal for local urban infrastructure problems associated with watercourse management is presented, comparing Sustainable Drainage System (SuDS) techniques and Low-Impact Development (LID) concepts with alternative traditional interventions. The study addresses sustainable alternatives to cope with the urbanization of the Cehab’s open channel, which is an important urban watercourse tributary of the Muriaé River, at the municipality of Itaperuna, Rio de Janeiro—Brazil. The multi-criteria decision-making method called Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied here. The results highlighted the better performance of sustainable techniques when compared to the traditional ones, with an overall advantage of the geogrids and geocells for this case study. The obtained TOPSIS coefficients-C for these techniques were higher (0.59488, for Reach 1; and 0.68656, for Reach 2) than those for the others. This research, therefore, presented an important urban watercourse management methodology that can be further applied to guide sustainable investments and help the decision-making associated with the development of territories.