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• This study proposes a multi-criteria decision-making framework for site selection of island photovoltaic charging station. • In view of the particularity of IPVCS site selection problem, an comprehensive evaluation criteria system is established. • Considering the fuzzy correlation exists between criteria, the λ- fuzzy measure method is used to determine the weight of the first-class criteria. • To deal with the conflicts among criteria, the VIKOR method is applied to select the most suitable site. With the increasingly serious environmental problems and the charging demand of electric ships, it is necessary to build charging stations on islands. The first step is site selection, but there are few studies on the site selection of island photovoltaic charging station (IPVCS). Therefore, a multi-criteria decision-making (MCDM) framework for site selection of IPVCS is proposed to select the optimal alternative. In this framework, a new evaluation criteria system is established, and two additional criteria, namely 'Probability of extreme weather' and 'Charging distance of ship', are proposed on the basis of existing criteria. At the same time, fuzzy correlation exists between criteria. Therefore, the λ- fuzzy measure method is used to determine the weight of the first-class criteria. And the fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is used to rank the alternatives. The hybrid fuzzy approach includes analytic hierarchy process (AHP), entropy weight method, λ- fuzzy measure method and VIKOR. Through the analysis of Chinese cases, results show that the optimal alternative is A 3 (Chongming, located in shanghai). To verify the stability of the decision-making framework, sensitivity analysis is carried out, and the limit value which makes the optimal alternative change is obtained. [ABSTRACT FROM AUTHOR]

The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework, an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway, two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria, the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C 26) has the largest comprehensive weight, which is 0.129. Among the four candidate sites, G 1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway, which has the certain practical significance. • A MCDM framework is proposed for DPVPS site selection along high-speed railway. • The criteria system for DPVPS site selection is innovatively established. • The idea of game theory is utilized to calculate the combination weights. • The FGRP method is applied to select the optimal site due to the grey relations. [ABSTRACT FROM AUTHOR]

The China's chemical industry has been endeavouring to promote sustainable development through practicing green supply chain management (GSCM). This paper proposes a multi-criteria decision framework with twenty practices to guide companies in the industry to enact GSCM effectively. The exploratory factor analysis (EFA) has been used to cluster the proposed practices. We found five aspects, including economic initiatives, environmental management, eco-design, resource recycling, and stakeholder and employee, constitute the underlying structure of GSCM. A mixed decision tool combining the entropy weight method (EWM) and the analytic hierarchy process (AHP) has been developed and applied to identify key factors. Official website information has been collected and used to analyse the website contents of five benchmarking companies in the China's chemical industry. The results reveal that the aspects of environmental management, eco-design and resource recycling are the most important GSCM themes. Moreover, the top five practices are top management support, performing life cycle assessment, managing environmental risks, advancing recycling technologies and integrating reverse logistics. Conceptual and practical implications are discussed. • A novel five-dimension GSCM framework is proposed using EFA. • A mixed decision method combining EWM and AHP is developed and applied. • Corporate websites and experts' assessments are used to benchmark GSCM practices. • Decisive GSCM aspects and practices for China's chemical industry are identified. • Integrating corporate website information notably modifies analytical results. [ABSTRACT FROM AUTHOR]