Assessing the social sustainability of supply chains using Best Worst Method

Ahmadi, Hamed; Kusi‐Sarpong, Simonov; Rezaei, Jafar

doi:10.1016/j.resconrec.2017.07.020

Cited by 435 publications

(203 citation statements)

References 78 publications

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“…Likewise, Ahmadi et al performed BWM in favor of assessing the social sustainability of supply chains [47]. Van de Kaa, Kamp, and Rezaei practiced the mentioned method for the selection of biomass thermochemical conversion technology in the Netherlands [48].…”

Section: Best-worst Methods (Bwm)mentioning

confidence: 99%

A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture

et al. 2018

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Sustainable development by emphasizing on satisfying the current needs of the general public without threating their futures, alongside with taking the environment and future generations under consideration, has become one of the prominent issues in different societies. Therefore, identifying and prioritizing the key factors of sustainable architecture according to regional and cultural features could be the first step in sustaining the architecture as a process and an outcome. In this paper, the key indicators of the environmental sustainability in contemporary architecture of Iran has been identified and prioritized. This study has been performed in three phases. First, identifying key factors of environmental sustainability according to the experts' point of view and transforming the collected data to triangular fuzzy numbers. Subsequently, the best-worst multi-criteria decision-making method (henceforth BWM) under grey system circumstances has determined the weights and priority of the identified criteria. Eventually, identified key factors were prioritized by the complex proportional assessment method (hereafter COPRAS) under the condition of fuzzy sets. The results indicate that the key factors of creating engagement between buildings and other urban systems has the highest priority in the built environment sustainability in contemporary architecture and proving building management systems has the lowest.

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Section: Best-worst Methods (Bwm)mentioning

confidence: 99%

A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture

et al. 2018

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“…This variable is related to the social sustainability dimension. Thus, it could support the emergence of other sustainable outcomes (Badri Ahmadi et al., ). Green practices dissemination (GPD) : In the proposed framework, GPD is an output that is related to firm performance (Kushwaha & Sharma, ). Stakeholders visibility (SV) : Stakeholders exert a fundamental power (Mani et al., ) and pressure (Tachizawa & Wong, ; Zhu et al., ) on organizations to adopt sustainability practices. Therefore, SV is increased by the GSD's actions. Cleaner production practices (CPP) : CPPs are essential to an organization's environmental performance (De Sousa Jabbour, de Oliveira Frascareli, & Jabbour, ).…”

Section: Proposing An Ssc Frameworkmentioning

confidence: 99%

“…SSC practices in emerging economies is a hot topic, although current research has not been sufficient to speed up the sustainability of a social transition. Emerging economies such as China (Hitchcock, ; Zhang, Tse, Doherty, Li, & Akhtar, ), India (Balaji & Arshinder, ; Mani, Gunasekaran, Papadopoulos, Hazen, & Dubey, ; Mathivathanan, Kannan, & Haq, ; Saldanha, Mello, Knemeyer, & Vijayaraghavan, ), Iran (Badri Ahmadi et al., ), and Brazil (Silvestre, ) have been working toward a sustainability transition.…”

Section: Introductionmentioning

confidence: 99%

A framework for sustainable supply chain in emerging economies

Queiroz

2019

Environmental Quality Mgmt

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Sustainable supply chains (SSC) are an essential topic in emerging economies for achieving sustainable development. Because of their rapid economic growth, emerging economies are experiencing both sides of this development: the well‐being enhancement and the environmental impact. However, decision makers and practitioners do not have robust models for managing supply networks that consider the sustainability complexities. This study aims to provide a better understanding of SSC in emerging economies and proposes a generic framework to improve the decision‐making process. Based on a review of the literature, a decision framework for sustainability is proposed. A green sustainable decision concept is also discussed in the SSC literature. This study has implications for scholars, decision makers, and practitioners interested in advancing the SSC field based on an extension of the framework.

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“…Considering about the simplicity and the superiority of the BWM, it is extensively employed in many research fields [43][44][45][46][47]. The procedures of the BWM are introduced as below:…”

Section: The Bwmmentioning

confidence: 99%

Selecting the Optimal Micro-Grid Planning Program Using a Novel Multi-Criteria Decision Making Model Based on Grey Cumulative Prospect Theory

2018

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Abstract:As useful supplements and effective support for large-scale electric power networks, micro-grid systems are the development tendency of future electric power systems. The planning performance of a micro-grid not only affects its security, reliability and economy, but also has a profound influence on the stable operation of large-scale electric power networks with the increasing penetration of micro-grids. Hence, studies related to micro-grid planning program evaluation are of great significance. This paper established a novel multi-criteria decision making (MCDM) model combining the best-worst method (BWM), the entropy weighting approach, and grey cumulative prospect theory for optimum selection of micro-grid planning programs. Firstly, an evaluation index system containing 18 sub-criteria was built from the perspectives of economy, electricity supply reliability and environmental protection. Secondly, the weights of sub-criteria were calculated integrating the subjective weights judged by the BWM and the objective weights computed by the entropy weighting method. Then, the cumulative prospect theory (CPT) combined with grey theory was employed to select the optimal micro-grid planning program. The empirical result indicates that the program with 100 kWp photovoltaic power generation unit, 200 kW wind power generation unit and 600 kWh NaS battery energy storage system is the optimal micro-grid planning program. To verify the robustness of obtained result, a sensitivity analysis related to values change of parameters under different risk preferences was conducted, and the result indicates that the selected optimal micro-grid planning program will not be influenced by various risk preferences of decision makers (DMs) and investors. The novel MCDM proposed in this paper is applicable and feasible in the micro-grid planning programs evaluation and selection.

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Assessing the social sustainability of supply chains using Best Worst Method

Cited by 435 publications

References 78 publications

A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture

A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture

A framework for sustainable supply chain in emerging economies

Selecting the Optimal Micro-Grid Planning Program Using a Novel Multi-Criteria Decision Making Model Based on Grey Cumulative Prospect Theory

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