Sustainable supplier selection for SMEs based on an extended PROMETHEE Ⅱ approach

Li, Tong; Wang, Jindan; Pu, Zhongmin

doi:10.1016/j.jclepro.2021.129830

Cited by 86 publications

(35 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, companies including small and medium-sized enterprises have to find strategic ways to deal with sustainable management of their entire operations. One stream of research is attempting to provide practical solutions for imminent industry-related issues related to sustainable supply chain management including supply chain network design [18], sustainable supplier selection [19][20][21], environmental transportation/routing [22,23], and reverse logistics [23]. Another stream of research is seeking the understanding of the current environment and the participants of a supply chain to provide strategic direction for sustainable operation.…”

Section: Literature Reviewmentioning

confidence: 99%

Green Supply Chain Management Efforts of First-Tier Suppliers on Economic and Business Performances in the Electronics Industry

2022

View full text Add to dashboard Cite

Green supply chain management (GSCM) has a necessary goal of performing a firm’s social and environmental responsibilities, and SMEs employ GSCM practices with constrained resources. SMEs need to determine which areas they need to concentrate their limited resources to result in positively noticeable economic outcomes. This study aims to identify what GSCM practices would influence economic and business profitability for first-tier suppliers in the electronics industry. Specifically, this examines whether internal environmental management (IEM), green purchasing (GP), cooperation with customers (CC), and eco-design (ECO) have a role in enhancing an organization’s economic performance (ECP) and business performance (BP). Survey data from 193 South Korean electronics firms were collected to test the proposed model. The survey responses were analyzed using structural equation modeling (SEM). The results of the present study showed that IEM, CC, and ECO of the responding SMEs had direct positive influences on ECP. Moreover, economic performance has a statistically significant influence on BP. However, GP did not show a significant relationship with ECP. This study investigated first-tier suppliers within the electronics industry and identified what GSCM practices would be important in improving the performances of SME manufacturing companies.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Green Supply Chain Management Efforts of First-Tier Suppliers on Economic and Business Performances in the Electronics Industry

2022

View full text Add to dashboard Cite

show abstract

“…In order to control variables and keep consistent with the situation of MCDM problem, we firstly deal with the language rating in the two articles. The language level of PLTS is divided into seven levels in Tong et al [ 42 ]. In this paper, we divide linguistic variables into eight levels.…”

Section: Results Discussion and Comparative Analysismentioning

confidence: 99%

“…By comparing the corresponding degree of the language sets, we believe that there is little difference in accuracy between the two articles. Therefore, when the PL-TODIM method in this paper is applied to the cases in [ 42 ], we believe that ignoring the l 0 (none) language set will not affect the final ranking. Finally, the corresponding relationship between the linguistic terms and corresponding degree in PLTS of the two articles is shown in the Table 19 .…”

Section: Results Discussion and Comparative Analysismentioning

confidence: 99%

Sustainable supply chain partner selection and order allocation: A hybrid fuzzy PL-TODIM based MCGDM approach

Zhong

Zhang

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

Sustainability, as a trend of social development and the embodiment of corporate social responsibility, has begun to receive more attention. To achieve this goal, sustainable supplier selection (SSS) and order allocation (OA) are seen as the crucial activities in corporate management. In the process of SSS, the psychological behavior of decision-makers (DMs) could play a critical role in the evaluation results. Therefore, introducing it into the decision-making process may lead to decision in line with the actual situation. In the uncertain multi-criteria group decision-making (MCGDM) problem described by probability linguistic term sets (PLTS), the DMs can evaluate the criteria of each supplier based on his own preference and hesitation, which is useful to avoid the loss of information. For this reason, this study develops a novel multi-criteria group decision-making combined with fuzzy multi-objective optimization (MCGDM-FMOO) model for SSS/OA problems by considering the triple bottom line (TBL) in which includes economic, environmental and social factors. The proposed method includes four stages. (1) the best-worst method (BWM) and entropy weight method are utilized to assign the weights of criteria to obtain the comprehensive weight. According to the output weights, the an acronym for interactive and multi-criteria decision-making in Portugese (TODIM) approach is applied to rank the suppliers under PLTS environment; (2) a FMOO model that can effectively deal with uncertainties and dynamic nature of parameter is formulated for allocating optimal order quantities; (3) two novel approaches are utilized to solve the FMOO model in order to obtain the richer Pareto frontier; and (4) the final OA solution is achieved by technique for order preference by similarity to ideal solution (TOPSIS) method. Finally, the validity and practicability of proposed MCGDM-FMOO model are verified by an example and comparative analysis with other classical MCGDM methods.

show abstract

“…In the studies using MCDA, the widely employed methods include the Best-Worst Method (BWM) [43][44][45], Analytic Hierarchy Process (AHP) [46][47][48], Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE)-I and II [49][50][51][52], VlseKriterijumska Optimizacija I KOmpromisno Resenje (VIKOR) [53][54][55], Elimination and Choice Translating Reality (ELECTRE) [56,57], Decision making trial and evaluation laboratory (DEMATEL) [58][59][60], and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [61][62][63]. Further, the studies that deal with qualitative attributes utilize fuzzified MCDA approaches such as Fuzzy AHP [64,65], Fuzzy TOPSIS [66,67], and many others.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

Indrajayanthan¹,

Mohanty²

2022

Sustainability

View full text Add to dashboard Cite

India has an ambitious target to promote clean energy penetration, but as of 2021, the electricity mix of India is dominated by coal to about 71%. Therefore, analyzing the clean energy potential and the ability of the individual states to entrench energy transition in the upcoming years will be supportive for policymakers. This study is propounded to assess the clean energy transition potential with a focused analysis on seven major power-producing states of India. These states include Maharashtra, Gujarat, Tamil Nadu, Uttar Pradesh, Karnataka, Madhya Pradesh, and Andhra Pradesh. The clean energy transition potential assessment is performed by utilizing multi-criteria decision analysis methodologies such as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization Method by Ratio Analysis (MOORA). Further, the analysis is performed against four major criteria that include high carbon energy resource dependency, low carbon energy resource dependency, clean energy potential, and policy support. Altogether, the assessment criteria include four primary level criteria and fourteen secondary level parameters. In order to reflect the significance of each parameter and criterion to the characteristics of clean energy transition potential, appropriate weightage is provided using the Fuzzy Analytic Hierarchy Process (AHP). The results indicate that Gujarat has the highest clean energy transition potential in both the multi-criteria decision analysis methods. On the other hand, Uttar Pradesh exhibited the least performance, and a complete energy transition to clean energy resources is less likely in this state. The rest of the states obtained intermediate ranking, and a comparative analysis between the two methods was also accomplished. This study suggests that India should focus on the clean energy policy with vigorous efforts on top-performing states which will effectively accelerate the power sector decarbonization.

show abstract

Sustainable supplier selection for SMEs based on an extended PROMETHEE Ⅱ approach

Cited by 86 publications

References 72 publications

Green Supply Chain Management Efforts of First-Tier Suppliers on Economic and Business Performances in the Electronics Industry

Green Supply Chain Management Efforts of First-Tier Suppliers on Economic and Business Performances in the Electronics Industry

Sustainable supply chain partner selection and order allocation: A hybrid fuzzy PL-TODIM based MCGDM approach

Assessment of Clean Energy Transition Potential in Major Power-Producing States of India Using Multi-Criteria Decision Analysis

Contact Info

Product

Resources

About