Understanding the Barriers to Sustainable Solid Waste Management in Society 5.0 Perspective Under Uncertainties: A Hybrid Method Approach

Abstract

This study contributes to identifying a valid and reliable set of barriers to sustainable solid waste management framework rooted in society 5.0 perspectives in Taiwan. In nature, the hierarchical structure is with the causal interrelationships under uncertainties. The perspective empowers the creation of a new biosphere based on technological progress, but in the sustainable solid waste management field, it is difficult to encounter and shape the systematized processes due to barriers and challenges. To address this shortcoming, this study evaluates the technical challenges faced in the field of sustainable solid waste management toward society 5.0. The valid attributes are usually described the qualitative information. The fuzzy Delphi method is applied to acquire the valid and reliable attributes. Fuzzy decision-making trial and evaluation laboratory experiment is to visualize the causal interrelationships among the attributes. Choquet integral with respect to the nonadditive attributes over the valid set provides an overall perspective function. The results establish an understanding of sustainable solid waste management barriers in the perspectives under uncertainties. Community uncertainty, policy and regulation problems, city architecture, and technology interaction are the factors that influence sustainable performance. In practices, (1) diverse disciplines and sectors in local, national, and global communities, (2) a lack of mobility and reliability, (3) mass production and mass consumption, (4) an insufficient level of artificial intelligence application, and (5) failures related to data management and security hinder the improvement of sustainable solid waste management toward society 5.0.

An industry 4.0 adoption in the circular economy application hierarchical model: driver, enable and barrier aspects

“…Round 1 aims to eliminate the unnecessary attributes by assimilating expert judgements, and round 2 allows experts to use their knowledge and experience to simplify the complex attribute set from round 1 through discussion. The process allows group decision-making, reducing the number of selections through rapid convergence in predicting sentiments and thereby helping decision-makers validate the decision requirement (Bui and Tseng, 2021).…”

“…Several prior literature has been identified employing FDM in different fields. For example, Bui and Tseng (2021) evaluate experts' perceptions of the major sustainable solid waste management barriers by applying the FDM, the fuzzy decision-making trial and evaluation laboratory experiment (DEMATEL) method and a Choquet integral technique. The FDM has been applied along with ISM analysis to determine the essential challenges towards I4.0–CE application in the POI (Abdul-Hamid et al ., 2020).…”

“…The literature highlighted on the notation of I4.0–CE has provided evidence that sustainable development can be realised more easily and clearly (Bai et al ., 2022; Khan et al ., 2022; Piccarozzi et al ., 2022). However, in the case of POI, studies related to the I4.0–CE applications are not as plentiful as in other industries, such as manufacturing (Awan et al ., 2021; Chari et al ., 2022; Cui et al ., 2021) healthcare (Chauhan et al ., 2021), waste management (Bui and Tseng, 2021) and automotive industry (de Mattos Nascimento et al ., 2022; Yadav et al ., 2020).…”