Green Supply Chain Performance Evaluation Research Articles

Literature Review on Green Supply Chain Performance Evaluation

Literature Review on Green Supply Chain Performance Evaluation

Research on performance evaluation of green supply chain of automobile enterprises under the background of carbon peak and carbon neutralization

Due to the increasing awareness of global warming and climate change, performance evaluation based on green supply chain management has become a key issue in recent industrial implementation, and carbon management is one of the important branches. According to the needs of China’s carbon peak and carbon neutralization construction objectives, this paper improves the enterprise evaluation index system of green supply chain management of China’s automobile enterprises, and selects 21 indexes from four dimensions: green procurement and supplier management, green production, green consumption and green recycling, carbon peak and carbon neutralization, highlighting the impact of carbon emission. Through the investigation of experts and the public, this paper determines the weight of the evaluation dimension and index system, as well as the use criteria of the performance evaluation index system. The optimized green supply chain performance evaluation system of automobile enterprises considering the objectives of carbon peak and carbon neutralization highlights the needs of green and low-carbon development, and can better guide the healthy development of automobile enterprises in China.

Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard

This paper presents initial key performance indicators for green supply chain evaluation for automotive companies using eco-balanced scorecard (EBSC). Balanced scorecard consists of four perspectives such as financial, customer, learning and growth, and internal business process, here fifth perspective as an environment is included. Drawing on the five perspectives of an EBSC, this paper first summarised the evaluation indexes synthesised from the literature relating to green supply chain performance. Furthermore, the relative weights of the chosen evaluation indexes were calculated from fuzzy-analytic hierarchy process and further, the two multi-criteria decision making analytical tools of fuzzy-VIKOR and gray relational analysis were respectively adapted to rank the green supply chain performance and improve the gaps with five industries as an empirical example. It shows that the proposed fuzzy-MCDM evaluation model of green supply chain performance using the EBSC framework can be a useful and effective assessment tool.

Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard

Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard

New Algorithm for Evaluating the Green Supply Chain Performance in an Uncertain Environment

An effective green supply chain (GSC) can help an enterprise obtain more benefits and reduce costs. Therefore, developing an effective evaluation method for GSC performance evaluation is becoming increasingly important. In this study, the advantages and disadvantages of the current performance evaluations and algorithms for GSC performance evaluations were discussed and evaluated. Based on these findings, an improved five-dimensional balanced scorecard was proposed in which the green performance indicators were revised to facilitate their measurement. A model based on Rough Set theory, the Genetic Algorithm, and the Levenberg Marquardt Back Propagation (LMBP) neural network algorithm was proposed. Next, using Matlab, the Rosetta tool, and the practical data of company F, a case study was conducted. The results indicate that the proposed model has a high convergence speed and an accurate prediction ability. The credibility and effectiveness of the proposed model was validated. In comparison with the normal Back Propagation neural network algorithm and the LMBP neural network algorithm, the proposed model has greater credibility and effectiveness. In practice, this method provides a more suitable indicator system and algorithm for enterprises to be able to implement GSC performance evaluations in an uncertain environment. Academically, the proposed method addresses the lack of a theoretical basis for GSC performance evaluation, thus representing a new development in GSC performance evaluation theory.

Performance Evaluation of Green Supply Chain Based on Catastrophe Progression Method

With the development of society, environmental issues have been given more and more attention, and the improvement of public awareness, legal and environmental standards promote the rapid development of green supply chain. Combining with catastrophe progression method (CPM), enterprises who implement green supply chain are provided scientific and effective ways to manage company. Firstly, the evaluation process of CPM is given. Secondly, a set of green supply chain performance evaluation index system is designed on the basis of the connotation of green supply chain and environmental management standards, and the index system is designed by using dimensionless process. Finally, numerical examples show that the performance evaluation of green supply chain based on CPM has a higher scientific and practical application value.

Construction of Green Supply Chain Performance Evaluation System Based On the Balanced Scorecard

Construction of Green Supply Chain Performance Evaluation System Based On the Balanced Scorecard