Ekonomika a management
SUSTAINABLE CONSTRUCTION SUPPLIER SELECTION BY A MULTIPLE CRITERIA DECISION-MAKING METHOD WITH HESITANT LINGUISTIC INFORMATION
The constriction of global resources and the sustained growth of population bring resources pressure to society. At the same time, the problem of environmental pollution and ecological imbalance cannot be ignored. In 2008, the United Nations Environment Programme launched the “Green Economy” initiative to integrate the concept of green and sustainable development into economic development. In this context, resource conservation, environmental protection and sustainable development are the best choices in this era. The construction industry is the pillar industry of Chinese economy. It is important for the construction industry to implement sustainable development. Faced with the pressure of resources and higher environmental requirements, green supply chain is an important means to enhance the environmental friendliness of construction industry and realize the rapid development of enterprises (Beamon, 1999; Ansari & Kant, 2017).
Jméno a příjmení autora:
Huchang Liao, Ruxue Ren, Jurgita Antucheviciene, Jonas Šaparauskas, Abdullah Al-Barakati
Sustainable supplier, Multiple Criteria Decision Making (MCDM), distance measure, Stepwise Weight Assessment Ratio Analysis (SWARA), Double Normalization-based Multi-Aggregation (DNMA) method
DOI (& full text):
Within the context of resource constraints and ecological environment imbalance, the adoption of green suppliers can help construction enterprises achieve sustainable development and improve their…více
Within the context of resource constraints and ecological environment imbalance, the adoption of green suppliers can help construction enterprises achieve sustainable development and improve their competitiveness. The selection of sustainable construction suppliers is a multi-criteria decision-making problem since multiple factors should be considered. The increasingly complex decision-making environment makes it difficult for evaluators to give accurate evaluation values. In this regard, the hesitant fuzzy linguistic term set is a qualitative evaluation tool to represent the comprehensive linguistic evaluation values of experts by considering the hesitancy behaviors of experts. In this paper, a scientific multi-criteria decision-making model based on the improved Stepwise Weight Assessment Ratio Analysis (SWARA) method and the double normalizationbased multi-aggregation (DNMA) method in the hesitant fuzzy linguistic environment is proposed. A new distance measure is proposed to measure the differences between hesitant fuzzy linguistic term sets with different lengths without changing the original evaluation information of experts. The proposed distance measure is applied to the proposed multi-criteria decision-making model. After improving the calculation steps of the traditional SWARA method, we can determine the weights of criteria effectively through our proposed model. To verify the applicability of the proposed method, we implement it to select sustainable building suppliers. The effectiveness of the method is verified by sensitivity analysis. We also compare the results obtained by our method and those derived by the Weight Aggregated Sum Product ASsessment (WASPAS) method and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. The proposed method have a strong applicability to solve the sustainability-related decision problems given that it can effectively determine the weights of criteria and flexibly meet the needs of decision-makers by adjusting the coefficient.
Ekonomika a management