Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method

You, Peipei; Guo, Sen; Zhao, Haoran; Zhao, Huiru

doi:10.3390/su9122329

Cited by 77 publications

(48 citation statements)

References 39 publications

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“…Furthermore, this paper aims to expand the spectrum of applications of this particular method by applying it in a multi‐actor setting of the food‐packaging industry. The implementation of BWM has been the topic of several scientific papers with objectives of supplier selection, the evaluation of power grid enterprise, evaluating the quality of scientific outputs, evaluating R&D performance of firms, evaluating the social sustainability of supply chains, evaluating airports and airline services, technology battles, and measuring quality of transit nodes and logistics performance index indicators among others.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, this paper aims to expand the spectrum of applications of this particular method by applying it in a multi-actor setting of the food-packaging industry. The implementation of BWM has been the topic of several scientific papers with objectives of supplier selection, 46-48 the evaluation of power grid enterprise, 49 evaluating the quality of scientific…”

Section: Multi-criteria Decision-makingmentioning

confidence: 99%

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Sustainable product‐package design in a food supply chain: A multi‐criteria life cycle approach

et al. 2018

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This paper presents a multi‐criteria decision‐making approach for the selection of a sustainable product‐package design, accounting for the different actors within a food supply chain. The study extends the focus of sustainable packaging design to the collective of all supply chain actors. Decision criteria are identified via a literature review, and current product‐package alternatives are collected via interviews. With the inputs of these criteria and the alternative designs, a multi‐criteria decision‐making problem is formulated and solved using Best Worst Method (BWM). BWM finds the weights of the criteria. Using these weights, the ranking of the alternatives is found. The implementation of the analysis took place for three selected products of the Kraft Heinz Company. Data on the preferences of the supply chain members of these selected products were collected, and the optimal package designs were selected. It is shown through sensitivity analysis that modifying the weights that decision makers assign to the preferences of the supply chain members and the importance of the dimensions of sustainability have an effect on the selection of the optimal design.

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Section: Methodsmentioning

confidence: 99%

Section: Multi-criteria Decision-makingmentioning

confidence: 99%

Sustainable product‐package design in a food supply chain: A multi‐criteria life cycle approach

et al. 2018

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“…Sahu presented an overview on current developments of wind energy, potentials, mismatching between the generating power, and installed capacities and future prospectus in China [29]. The second stream studies innovation and the improvement of key technologies to improve power generation, grid-connection, and wind-power consumption abilities [30][31][32][33][34][35][36][37]. Lina Alhmoud and Bingsen Wang reviewed the present situation of wind-energy reliability analyses [38].…”

Section: Literature Surveymentioning

confidence: 99%

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

et al. 2018

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Sustainable energy development has gained worldwide attention, in part thanks to the wind power industry value chain that focuses on overall value creation and innovation, especially in China. This paper aims to construct a wind power industry value chain model and comprehensively analyze factors that have significant influences on it using a modified diamond model, which has remained nebulous. Focused on the value-adding effect of constructed value chains, we offer key ideas from different angles. A factor condition lays the foundation of the value chain, and shows that China is experiencing energy structure adjustment in which wind power will play a key role; its resource potential is huge, but with mismatched distribution. Demand conditions reveal an increasing demand for wind but serious wind rejection as well; this is where the value-adding probability exists. Related and support departments collaborate to determine the overall value creation process. Firm strategy, structure, and rivalry are terms that describe possible value-adding subjects considering the wind industry as a whole. Government and opportunity provide robust prices and non-price policies to support value integration, and Technology is an effective factor in cost reduction and value creation as a high value-adding sector. Furthermore, a comparison of wind power industry value chains in China and Japan is conducted. Our findings underscore that a gap exists between actual performance and the expected wind power industry value chain, and corresponding measurements to promote the performance are discussed, including encouraging diversified business models, enhancing R&D and independent innovation, professional cultivation, effectively reducing wind rejection rate, and the full range of government support.

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“…The basic theory of the TOPSIS is that the selected evaluated object should have the minimum distance from the positive ideal solution and the maximum distance from the negative ideal solution. The procedure of the TOPSIS method is elaborated in [7]. The performance values utilized in the TOPSIS method are listed in Table A4, and the weights of sub-criteria utilized in the TOPSIS method are elaborated in Table 5, combining the subjective weights and objective weights.…”

Section: Comparative Analysismentioning

confidence: 99%

“…As a critical part of the entire power industry chain, power grid corporations undertake the important responsibility of connecting the power generation and power consuming terminals, which plays a primary role in electric grid construction, stable electricity supply, and electric universal service [3][4][5][6]. In the period of '12th Five-Year Plan' of China, the total amount of investment on electricity grid construction reached 1.99 trillion Yuan, and the electricity sales amount achieved 21 trillion kWh [7]. Although China ranks the top in several aspects including electricity supply reliability, electricity grid interconnection, electricity generation capacity, and renewable energy installed capacity at present [8][9][10][11], electricity grid corporations of China are facing great challenges from social, economic, and environmental perspectives owing to the global economic turbulence, Chinese economic downturn, electricity system reform, and the worsening (1) The comprehensive evaluation index system on assessing electricity grid corporations' comprehensive performance is constructed on the basis of the Fuzzy-Delphi approach, comprehensively considering the views and knowledge of experts.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Performance Evaluation of Electricity Grid Corporations Employing a Novel MCDM Model

Zhao

Guo

2018

Sustainability

Self Cite

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Abstract:Under the new round reform of electricity market in China, a large amount of electricity sales companies has emerged in some provinces, and the reform of transmission and distribution tariffs is also in progress. Electricity grid corporations are required to update their operational strategies and improve comprehensive performance to adapt to the fierce competition in the electricity market. Considering this, a novel MCDM (multi-criteria decision making) model integrating Fuzzy-Delphi, the best-worst method (BWM), the entropy weight calculation approach, and the VIKOR method is established in this investigation to assess the comprehensive performances of five selected provincial electricity grid corporations. The comprehensive performance assessment indicator system is constructed in accordance with Fuzzy-Delphi approach, composed of 21 significant sub-criteria from the aspects of profitability capacity, development capacity, safety production capacity, electricity supply reliability, outstanding service provision, energy conservation, and environmental protection. The sub-criteria weights are computed by combining subjective weights determined by BWM and objective weights computed by the entropy weight calculation approach. The comprehensive performance evaluation model is established based on VIKOR. As the electricity grid corporation A is superior in profitability capacity (especially in electricity sales amount) and safety production capacity criterion, it is superior over other four electricity grid corporations. The established novel MCDM is practical and rational, which is applicable for electricity grid corporations' comprehensive performance evaluation.

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Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method

Cited by 77 publications

References 39 publications

Sustainable product‐package design in a food supply chain: A multi‐criteria life cycle approach

Sustainable product‐package design in a food supply chain: A multi‐criteria life cycle approach

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

Comprehensive Performance Evaluation of Electricity Grid Corporations Employing a Novel MCDM Model

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