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Dr. Ernesto Dr S Gonzalez
Department of Industrial Engineering, CES4.0 Initiative, University of Talca, Curicó, Chile

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0 Climate Change
0 Supply Chain
0 Sustainability
0 Supply Chain Analytics
0 Operations management and research

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Journal article
Published: 19 August 2021 in Sustainability
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COVID-19’s demand shocks have a significant impact on global CO2 emissions. However, few studies have estimated the impact of COVID-19’s direct and indirect demand shocks on sectoral CO2 emissions and linkages. This study’s goal is to estimate the impact of COVID-19’s direct and indirect demand shocks on the CO2 emissions of the Asia-Pacific countries of Bangladesh, China, India, Indonesia, and Pakistan (BCIIP). The study, based on the Asian Development Bank’s COVID-19 economic impact scenarios, estimated the impact of direct and indirect demand shocks on CO2 releases using input–output and hypothetical extraction methods. In the no COVID-19 scenario, China emitted the most CO2 (11 billion tons (Bt)), followed by India (2 Bt), Indonesia (0.5 Bt), Pakistan (0.2 Bt), and Bangladesh (0.08 Bt). For BCIIP nations, total demand shocks forced a 1–2% reduction in CO2 emissions under a worst-case scenario. Given BCIIP’s current economic recovery, a best or moderate scenario with a negative impact of less than 1% is more likely in coming years. Direct demand shocks, with a negative 85–63% share, caused most of the CO2 emissions decrease. The downstream indirect demand had only a 15–37% contribution to CO2 emissions reduction. Our study also discusses policy implications.

ACS Style

Muhammad Jawad Sajid; Ernesto D. R. Santibanez Gonzalez. The Impact of Direct and Indirect COVID-19 Related Demand Shocks on Sectoral CO2 Emissions: Evidence from Major Asia Pacific Countries. Sustainability 2021, 13, 9312 .

AMA Style

Muhammad Jawad Sajid, Ernesto D. R. Santibanez Gonzalez. The Impact of Direct and Indirect COVID-19 Related Demand Shocks on Sectoral CO2 Emissions: Evidence from Major Asia Pacific Countries. Sustainability. 2021; 13 (16):9312.

Chicago/Turabian Style

Muhammad Jawad Sajid; Ernesto D. R. Santibanez Gonzalez. 2021. "The Impact of Direct and Indirect COVID-19 Related Demand Shocks on Sectoral CO2 Emissions: Evidence from Major Asia Pacific Countries." Sustainability 13, no. 16: 9312.

Research article
Published: 30 July 2021 in PLOS ONE
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The environmental footprint of courier, express, and parcel (CEP) logistics is significant and growing, owing to increased e-commerce. Consumer willingness to participate in the green logistics of CEPs, however, has been understudied. This study addresses this knowledge gap by surveying 155 Chinese consumers about their willingness to participate in CEP green logistics. Additionally, this research identifies some technical issues with previous survey research. Three main factors were extracted after the data were tested for reliability and validity using exploratory factor analysis with principal axis factor extraction and confirmatory factor analysis with diagonally weighted least squares. Consumer willingness is positively correlated with economic (8 items), operational (3 items), and social (3 items) factors, with a statistical significance of p < 0.001. Of all the factors, the strongest correlation, 0.67 (95% CI = 0.57, 0.75; p < 0.001; N = 155), exists between economic factors and consumer willingness. The results of a multinomial logistic regression analysis suggest that all consumers are highly unlikely to participate in economic factors, while they are highly likely to positively commit to operational and social factors. Therefore, it is recommended that the government provides monetary incentives to CEP companies to adopt green logistics, such as tax reductions and subsidies, to reduce the costs of green logistics. Meanwhile, the CEP industry could provide some direct and indirect incentives to consumers to re-use, recycle, and share materials, and to spend time learning about express enterprises’ green logistics, to increase consumer participation in economic factors.

ACS Style

Muhammad Jawad Sajid; Ernesto D. R. Santibanez Gonzalez; Jie Zhan; Xiaohong Song; Yubo Sun; Jing Xie. A methodologically sound survey of Chinese consumers’ willingness to participate in courier, express, and parcel companies’ green logistics. PLOS ONE 2021, 16, e0255532 .

AMA Style

Muhammad Jawad Sajid, Ernesto D. R. Santibanez Gonzalez, Jie Zhan, Xiaohong Song, Yubo Sun, Jing Xie. A methodologically sound survey of Chinese consumers’ willingness to participate in courier, express, and parcel companies’ green logistics. PLOS ONE. 2021; 16 (7):e0255532.

Chicago/Turabian Style

Muhammad Jawad Sajid; Ernesto D. R. Santibanez Gonzalez; Jie Zhan; Xiaohong Song; Yubo Sun; Jing Xie. 2021. "A methodologically sound survey of Chinese consumers’ willingness to participate in courier, express, and parcel companies’ green logistics." PLOS ONE 16, no. 7: e0255532.

Article
Published: 16 July 2021 in Revista de Gestão
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Purpose This paper aims to analyze how decision support systems manage Big data to obtain value. Design/methodology/approach A systematic literature review was performed with screening and analysis of 72 articles published between 2012 and 2019. Findings The findings reveal that techniques of big data analytics, machine learning algorithms and technologies predominantly related to computer science and cloud computing are used on decision support systems. Another finding was that the main areas that these techniques and technologies are been applied are logistic, traffic, health, business and market. This article also allows authors to understand the relationship in which descriptive, predictive and prescriptive analyses are used according to an inverse relationship of complexity in data analysis and the need for human decision-making. Originality/value As it is an emerging theme, this study seeks to present an overview of the techniques and technologies that are being discussed in the literature to solve problems in their respective areas, as a form of theoretical contribution. The authors also understand that there is a practical contribution to the maturity of the discussion and with reflections even presented as suggestions for future research, such as the ethical discussion. This study’s descriptive classification can also serve as a guide for new researchers who seek to understand the research involving decision support systems and big data to gain value in our society.

ACS Style

Gustavo Grander; Luciano Ferreira da Silva; Ernesto Del Rosário Santibañez Gonzalez. Big data as a value generator in decision support systems: a literature review. Revista de Gestão 2021, ahead-of-p, 1 .

AMA Style

Gustavo Grander, Luciano Ferreira da Silva, Ernesto Del Rosário Santibañez Gonzalez. Big data as a value generator in decision support systems: a literature review. Revista de Gestão. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Gustavo Grander; Luciano Ferreira da Silva; Ernesto Del Rosário Santibañez Gonzalez. 2021. "Big data as a value generator in decision support systems: a literature review." Revista de Gestão ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 19 June 2021 in Environmental Technology & Innovation
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The e-waste sector is characterised by a rapid growth at global level and therefore involves an area not yet sufficiently investigated in its risk management dimension. This research fills the gap of the absence of a holistic approach to risk identification and assessment in e-waste management, suggesting a new Risk Awareness Indicator (RAI). An integrated Multi-criteria decision analysis (MCDA)-Analytic Hierarchy Process (AHP) is proposed to calculate the new index. Weights and values will be proposed by twenty Big Four’s youngest consultants (generation-Z and millennials). For e-waste, cyber risks related to personal data are critical in the collection phase, environmental risks in the transport phase, and financial and economic risks in the processing phase. Recycling scenarios pose less overall risk than landfill alternatives. The results can help policy makers to meet the circular economy targets set at the European Union level by implementing administrative and regulatory simplifications to support recycling supply chains and make them more efficient and resilient after the pandemic disruption. This work focuses on e-waste and the opinion of screenagers consultants, however the methodology used to design the RAI index makes it easy to replicate the analysis to other social settings and other waste supply chains.

ACS Style

Andrea Appolloni; Idiano D’Adamo; Massimo Gastaldi; Ernesto D.R. Santibanez-Gonzalez; Davide Settembre-Blundo. Growing e-waste management risk awareness points toward new recycling scenarios: The view of the Big Four’s youngest consultants. Environmental Technology & Innovation 2021, 23, 101716 .

AMA Style

Andrea Appolloni, Idiano D’Adamo, Massimo Gastaldi, Ernesto D.R. Santibanez-Gonzalez, Davide Settembre-Blundo. Growing e-waste management risk awareness points toward new recycling scenarios: The view of the Big Four’s youngest consultants. Environmental Technology & Innovation. 2021; 23 ():101716.

Chicago/Turabian Style

Andrea Appolloni; Idiano D’Adamo; Massimo Gastaldi; Ernesto D.R. Santibanez-Gonzalez; Davide Settembre-Blundo. 2021. "Growing e-waste management risk awareness points toward new recycling scenarios: The view of the Big Four’s youngest consultants." Environmental Technology & Innovation 23, no. : 101716.

Journal article
Published: 15 June 2021 in Journal of Cleaner Production
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The issue of sustainability has been a prime concern as a continued surging amount of construction and demolition waste (CDW) is being generated while natural resources are consumed and contaminated at an alarming rate. However, CDW utilization involves a range of options based on combinations of different crushing options and manufacture of various recycled products, which is confusing for practitioners to decide the optimal CDW utilization scheme from a comprehensive perspective. To assist decision making among CDW utilization schemes, a heterogeneous multi-criteria evaluation framework is proposed where interval numbers, triangular fuzzy numbers (TFNs) and trapezoidal fuzzy numbers (TrFNs) are used for comprehensive evaluation, enabling experts to present assessment information flexibly based on their preferences, knowledge and nature of different data forms. Firstly, a comprehensive index system is constructed from social, environmental, financial and technical dimensions for the evaluation of CDW utilization schemes. Afterwards, a novel method is proposed to unify heterogeneous evaluation values into rough numbers. Thirdly, to fully reflect both inner and outer dependencies among criteria, the analytic network process (ANP) method is utilized to derive weights of criteria and sub-criteria, before the fuzzy multi-attributive border approximation area comparison (MABAC) method is applied to obtain the final ranking. Finally, a case study of CDW utilization schemes selection problem is illustrated where the scheme of on-site crushing combined with production of recycled bricks and aggregates is selected as the best option with the sum of the distance Sk between alternatives and the border approximation areas obtained as [0.0037, 0.0544], and a comparative analysis is conducted to verify its effectiveness and validity of the proposed framework.

ACS Style

Fan Zhang; Yanbing Ju; Ernesto D.R. Santibanez Gonzalez; Aihua Wang; Peiwu Dong; Mihalis Giannakis. Evaluation of construction and demolition waste utilization schemes under uncertain environment: A fuzzy heterogeneous multi-criteria decision-making approach. Journal of Cleaner Production 2021, 313, 127907 .

AMA Style

Fan Zhang, Yanbing Ju, Ernesto D.R. Santibanez Gonzalez, Aihua Wang, Peiwu Dong, Mihalis Giannakis. Evaluation of construction and demolition waste utilization schemes under uncertain environment: A fuzzy heterogeneous multi-criteria decision-making approach. Journal of Cleaner Production. 2021; 313 ():127907.

Chicago/Turabian Style

Fan Zhang; Yanbing Ju; Ernesto D.R. Santibanez Gonzalez; Aihua Wang; Peiwu Dong; Mihalis Giannakis. 2021. "Evaluation of construction and demolition waste utilization schemes under uncertain environment: A fuzzy heterogeneous multi-criteria decision-making approach." Journal of Cleaner Production 313, no. : 127907.

Journal article
Published: 05 June 2021 in Sustainable Operations and Computers
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The aim of this article is to examine the application of an innovation project in packaging recycling cooperatives toward a circular economy model. Our study is in line with a body of literature that perceives garbage as a resource and innovation projects are a way to overcome the barrier to circular economy implementation. Through qualitative research with document analysis and interviews, we analyzed the results of the implementation of an innovative project in the process of collecting and recycling the waste in the context of external pressures. As a result, we were able to present how the CircularPack® model was articulated and the perception of three actors involved in recycling processes. By re-reading production processes aiming at a circular economy model, these innovation project contributions could help to reduce the emission of waste in the environment, promote social insertion of people in situation of social vulnerability and accomplish a competitive advantage gain to the companies involved.

ACS Style

Maria Helena Costa Resnitzky; Gustavo Grander; Luciano Ferreira da Silva; Ernesto Del Rosario Santibanez Gonzalez. Innovation projects of packaging recycling to a circular economy. Sustainable Operations and Computers 2021, 2, 115 -121.

AMA Style

Maria Helena Costa Resnitzky, Gustavo Grander, Luciano Ferreira da Silva, Ernesto Del Rosario Santibanez Gonzalez. Innovation projects of packaging recycling to a circular economy. Sustainable Operations and Computers. 2021; 2 ():115-121.

Chicago/Turabian Style

Maria Helena Costa Resnitzky; Gustavo Grander; Luciano Ferreira da Silva; Ernesto Del Rosario Santibanez Gonzalez. 2021. "Innovation projects of packaging recycling to a circular economy." Sustainable Operations and Computers 2, no. : 115-121.

Journal article
Published: 26 April 2021 in International Journal of Innovation
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Objective of the study: Statistics shows a worrisome picture of challenges to be overcome by cybersecurity in the healthcare sector. Data evidence that the healthcare industry experiences four data breaches per week in the United States alone, making it the sector most often affected by digital security breaches. Thus, the current article aims to investigate risk management focusing on identifying requirements and best practices for healthcare data security systems.Methodology/approach: It is based on a systematic literature review. Studies on state-of-the-art data security systems were collected and interpreted through content analysis. Assertive keywords, source-selection criteria, interpretation of selected articles, and database analysis were used to form the investigated sample and to represent the broad applications of this study’s objective.Originality/Relevance: The current study contributes to define a set of minimum requirements and best practices that can be adopted to manage data security risks in the healthcare sector and medical devices.Main results: Results have pointed out that there is no fully effective way to prevent all violations by cybercriminals; however, cybersecurity must be part of management processes adopted by different organizations.Theoretical/methodological contributions: It is found that cybersecurity has a great importance for the healthcare sector, the information generated is rich in content and that cybersecurity is neglected in the sector, that is not able to deal with the reality of cyber threats in the industry 4.0 context.Social /management contributions: By the good risk management practices and the adoption of minimum security items, institutions can ensure that managers can prepare and respond efficiently to cyber risks.

ACS Style

Fábio Martins Dias; Mauro Luiz Martens; Sonia Francisca De Paula Monken; Luciano Ferreira da Silva; Ernesto Del Rosario Santibanez-Gonzalez. Risk management focusing on the best practices of data security systems for healthcare. International Journal of Innovation 2021, 9, 45 -78.

AMA Style

Fábio Martins Dias, Mauro Luiz Martens, Sonia Francisca De Paula Monken, Luciano Ferreira da Silva, Ernesto Del Rosario Santibanez-Gonzalez. Risk management focusing on the best practices of data security systems for healthcare. International Journal of Innovation. 2021; 9 (1):45-78.

Chicago/Turabian Style

Fábio Martins Dias; Mauro Luiz Martens; Sonia Francisca De Paula Monken; Luciano Ferreira da Silva; Ernesto Del Rosario Santibanez-Gonzalez. 2021. "Risk management focusing on the best practices of data security systems for healthcare." International Journal of Innovation 9, no. 1: 45-78.

Journal article
Published: 02 March 2021 in Sustainability
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Achieving a supply chain that is resilient to potential unforeseen disruptions (e.g., strikes, floods, tsunamis, etc.) remains one of the vital concerns of decision makers (DMs). To build up a reactive supply chain plan towards resilience, the purchasing department needs to pay the strictest attention to sourcing decisions. This study contributes to the literature through developing an efficient resilient supplier selection approach based on a new holistic framework that enables the identification of key resilience pillars (RPs) and traditional business criteria (TBC) in light of a thorough literature review and experts’ opinions. To this end, the relative importance of TBC/RP was measured by applying the DEMATEL (D) method. This was followed by the application of MABAC-OCRA-TOPSIS-VIKOR (MOTV) methods to verify the suppliers’ ranking. Furthermore, the Spearman rank correlation coefficient (SRCC) approach was used to investigate the correlation among the suppliers’ ranking, revealed via the four methods. In this work, a real sourcing problem of scrap metal for a steel manufacturing company was solved to prove the applicability of the proposed approach. The research outcome revealed that the TBC of “trust” is the most important criterion, followed by the “cost”, leaving the “geographical location” criterion as the least important one. In this context, the RP of “flexibility” attained the highest relative weight compared to “agility”, which secured the lowest weight. The results also showed “absolute” correlation among MABAC, VIKOR, and OCRA compared to “very strong” correlation between TOPSIS and the others. This research can support supply chain managers to achieve supply chain systems that reduce not only sourcing costs, but also potential losses because of disrupting threats, by building resilient supply chains.

ACS Style

Ahmed Mohammed; Morteza Yazdani; Amar Oukil; Ernesto Santibanez Gonzalez. A Hybrid MCDM Approach towards Resilient Sourcing. Sustainability 2021, 13, 2695 .

AMA Style

Ahmed Mohammed, Morteza Yazdani, Amar Oukil, Ernesto Santibanez Gonzalez. A Hybrid MCDM Approach towards Resilient Sourcing. Sustainability. 2021; 13 (5):2695.

Chicago/Turabian Style

Ahmed Mohammed; Morteza Yazdani; Amar Oukil; Ernesto Santibanez Gonzalez. 2021. "A Hybrid MCDM Approach towards Resilient Sourcing." Sustainability 13, no. 5: 2695.

Journal article
Published: 17 February 2021 in International Journal of Production Economics
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Drawing on the mixed results provided by the existing literature on low-carbon operations management practices, this paper proposes an original evaluation model for CO2 emission reduction practices in Brazil, based on the concept of information entropy. We model the information entropy of different low-carbon operations management practices, such as logistics, manufacturing processes and new product development. Then, in light of the role of stakeholder pressures, motivations and barriers, we take a novel approach to assessing the relative importance of elements of the model by using information entropy to develop probabilistically distinctive weightings for low-carbon managerial practices, computed using a variety of models. These models include (a) the Fuzzy Rasch model, which combines Item Response Theory (IRT) and fuzzy set theory; (b) the Fuzzy AHP (Analytic Hierarch Process) model; and (c) the crisp AHP model, based on eight different judgment scales concerning the relative evolution of each criterion/construct. Our results, both expected and unexpected, suggest that: (i) there is heterogeneity in the ways that different companies perceive the issue of low-carbon practices; (ii) while the firms studied are motivated to reduce CO2 emissions and such reduction is required by various stakeholders, the reduction is implemented solely through low-carbon logistics. Unexpectedly, we find that companies are not adopting a full-range of low-carbon operations practices, which may damage their overall performance. Implications for end-users and policy makers are highlighted.

ACS Style

Peter Fernandes Wanke; Charbel José Chiappetta Jabbour; Jorge Junio Moreira Antunes; Ana Beatriz Lopes De Sousa Jabbour; David Roubaud; Vinicius Amorim Sobreiro; Ernesto Dr Santibanez Gonzalez‬. An original information entropy-based quantitative evaluation model for low-carbon operations in an emerging market. International Journal of Production Economics 2021, 234, 108061 .

AMA Style

Peter Fernandes Wanke, Charbel José Chiappetta Jabbour, Jorge Junio Moreira Antunes, Ana Beatriz Lopes De Sousa Jabbour, David Roubaud, Vinicius Amorim Sobreiro, Ernesto Dr Santibanez Gonzalez‬. An original information entropy-based quantitative evaluation model for low-carbon operations in an emerging market. International Journal of Production Economics. 2021; 234 ():108061.

Chicago/Turabian Style

Peter Fernandes Wanke; Charbel José Chiappetta Jabbour; Jorge Junio Moreira Antunes; Ana Beatriz Lopes De Sousa Jabbour; David Roubaud; Vinicius Amorim Sobreiro; Ernesto Dr Santibanez Gonzalez‬. 2021. "An original information entropy-based quantitative evaluation model for low-carbon operations in an emerging market." International Journal of Production Economics 234, no. : 108061.

Journal article
Published: 12 February 2021 in Ecological Economics
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Under the premise that the total emissions of PM(particulate matter) of air pollution is established, the allocation of PMemission rights in various provinces of China is the feasible way to governance the ash haze. In this paper, a data envelopment analysis (DEA) model that takes into account the objectives of efficiency and equity is constructed. On the basis of evaluating the PMemission performance of various provinces in China, the corresponding allocation steps are put forward. Then, the results of theDEAmodel and information entropy are compared. The research shows that: (1) under the same constraint conditions, the emission right of PMis allocated with DEA model, which leads to lower cost, less fluctuation of distribution amount and higher overall national performance. (2) the populationGinicoefficient method is used to evaluate and it is found that the Gini coefficient value is smaller according to the distribution results of DEA model, indicating that the PM emission right amount is more fairly distributed among provinces. The functions of this paper are as follows: (1) a new double-objective DEA model is constructed, which is suitable for multi-agent performance evaluation with multiple objectives; (2) a scheme to allocate PM among provinces is proposed, which can provide reference for the practice of haze reduction in China

ACS Style

Ji Guo; Mengke Zhao; Xianhua Wu; Beibei Shi; Ernesto D.R. Santibanez Gonzalez. Study on the distribution of PM emission rights in various provinces of China based on a new efficiency and equity two-objective DEA model. Ecological Economics 2021, 183, 106956 .

AMA Style

Ji Guo, Mengke Zhao, Xianhua Wu, Beibei Shi, Ernesto D.R. Santibanez Gonzalez. Study on the distribution of PM emission rights in various provinces of China based on a new efficiency and equity two-objective DEA model. Ecological Economics. 2021; 183 ():106956.

Chicago/Turabian Style

Ji Guo; Mengke Zhao; Xianhua Wu; Beibei Shi; Ernesto D.R. Santibanez Gonzalez. 2021. "Study on the distribution of PM emission rights in various provinces of China based on a new efficiency and equity two-objective DEA model." Ecological Economics 183, no. : 106956.

Journal article
Published: 29 December 2020 in Journal of Cleaner Production
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Retrofitting energy-inefficient external walls would improve the energy performance of building envelope by utilizing new insulation materials to decrease heat transfer. However, previous researches mainly based on environmental and economic considerations are still partial and could hardly provide a holistic perspective for the optimal selection of external walls retrofit techniques. To address this problem, this paper proposes a novel heterogeneous multi-criteria group decision-making (MCGDM) framework in which the ratings of schemes are described with real numbers and linguistic variables and the weights of criteria are unknown. Firstly, an evaluation index system is established covering criteria of thermal insulation property, technique, durability, and economic efficiency. Secondly, building information modeling (BIM) is utilized to determine multiple retrofit schemes and derive the heat transfer coefficient. Thirdly, after heterogeneous evaluation values are unified, a combined weighting approach is developed based on best worst method (BWM) and the similarity method before fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is applied to rank the alternatives. Fourthly, the applicability of the proposed framework is demonstrated by a case study of the external wall retrofit scheme selection in Beijing, which reveals that extruded polystyrene (XPS) and expanded polystyrene (EPS) insulation schemes are the compromise choices with aggregating index Qk of 0.0032 and 0.0967 respectively, while rock wool insulation scheme is the last option with Qk of 0.7182. The stability of ranking results is proved with the changing weight of maximum group utility, and the effectiveness of the proposed framework is verified by a comparative analysis. This study can facilitate the implementation of building envelope retrofit by providing useful guidance for selection of external wall retrofit schemes.

ACS Style

Fan Zhang; Yanbing Ju; Ernesto D.R. Santibanez Gonzalez; Aihua Wang; Peiwu Dong; Mihalis Giannakis. A new framework to select energy-efficient retrofit schemes of external walls: A case study. Journal of Cleaner Production 2020, 289, 125718 .

AMA Style

Fan Zhang, Yanbing Ju, Ernesto D.R. Santibanez Gonzalez, Aihua Wang, Peiwu Dong, Mihalis Giannakis. A new framework to select energy-efficient retrofit schemes of external walls: A case study. Journal of Cleaner Production. 2020; 289 ():125718.

Chicago/Turabian Style

Fan Zhang; Yanbing Ju; Ernesto D.R. Santibanez Gonzalez; Aihua Wang; Peiwu Dong; Mihalis Giannakis. 2020. "A new framework to select energy-efficient retrofit schemes of external walls: A case study." Journal of Cleaner Production 289, no. : 125718.

Methodologies and application
Published: 27 October 2020 in Soft Computing
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In this paper, we investigate the multi-criteria group decision-making (MCGDM) problems with incomplete weight information under T-spherical fuzzy environment. Firstly, motivated by the idea of the intuitionistic fuzzy interaction method, we propose some operation laws of T-spherical fuzzy numbers (T-SFNs), as well as some T-spherical fuzzy interaction aggregation operators, such as the T-spherical fuzzy weighted averaging interaction (T-SFWAI) operator, the T-spherical fuzzy weighted geometric interaction (T-SFWGI) operator, the T-spherical fuzzy ordered weighted interaction aggregation operators and the generalized T-spherical fuzzy interaction aggregation operators. Then, some desirable properties of the proposed T-SFWAI and T-SFWGI operators and some special cases of the generalized T-spherical fuzzy interaction aggregation operators are discussed in detail. Secondly, for the situations where the information about the weights of criteria is partly known or completely unknown, we establish two optimization models to determine the weights of criteria based on the maximizing deviation method and Lagrange function method, respectively. Thirdly, the traditional TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) approach is extended to solve MCGDM problem under the T-spherical fuzzy environment by defining the distance between T-SFNs, score function and accuracy function of T-spherical fuzzy number. Finally, a numerical example is given to illustrate the application of the extended TODIM approach, and further the sensitivity analysis and comparison analysis are carried out to demonstrate the influence of parameter on the final result and the effectiveness of the extended method.

ACS Style

Yanbing Ju; Yuanyuan Liang; Chao Luo; Peiwu Dong; Ernesto D. R. Santibanez Gonzalez; Aihua Wang. T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information. Soft Computing 2020, 25, 2981 -3001.

AMA Style

Yanbing Ju, Yuanyuan Liang, Chao Luo, Peiwu Dong, Ernesto D. R. Santibanez Gonzalez, Aihua Wang. T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information. Soft Computing. 2020; 25 (4):2981-3001.

Chicago/Turabian Style

Yanbing Ju; Yuanyuan Liang; Chao Luo; Peiwu Dong; Ernesto D. R. Santibanez Gonzalez; Aihua Wang. 2020. "T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information." Soft Computing 25, no. 4: 2981-3001.

Journal article
Published: 25 August 2020 in Energy
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The waste-to-energy (WTE) project can handle the expanding volume of municipal solid waste (MSW) and promote the development of the circular economy, effectively. To achieve sustainable MSW management, it is pivotal to select a promising WTE incineration plant site. Thus, this paper aims to propose a novel methodology for selecting the optimal WTE incineration plant site. A sustainable evaluation index system is constructed from the environment, economy, society, risk, and energy aspects. Evaluation criteria are articulated by mathematical models and hesitant fuzzy linguistic term set, respectively. Given interactional relations among criteria and computation efficiency, HFL-BWM-ANP (hesitant fuzzy linguistic Best-Worst method-Analytic Network Process) is proposed to obtain criteria weights. The double parameters TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach is employed to rank alternative sites. The feasibility of the proposed methodology is illustrated by a numerical case. Triple sensitivity analysis and comparative analysis are performed to demonstrate the robustness, effectiveness, and superiority of the proposed methodology. Some managerial insights are provided from multiple dimensions for investors and the government to implement the WTE incineration plant project.

ACS Style

Chao Luo; Yanbing Ju; Ernesto Del Rosario Santibanez Gonzalez; Peiwu Dong; Aihua Wang. The waste-to-energy incineration plant site selection based on hesitant fuzzy linguistic Best-Worst method ANP and double parameters TOPSIS approach: A case study in China. Energy 2020, 211, 118564 .

AMA Style

Chao Luo, Yanbing Ju, Ernesto Del Rosario Santibanez Gonzalez, Peiwu Dong, Aihua Wang. The waste-to-energy incineration plant site selection based on hesitant fuzzy linguistic Best-Worst method ANP and double parameters TOPSIS approach: A case study in China. Energy. 2020; 211 ():118564.

Chicago/Turabian Style

Chao Luo; Yanbing Ju; Ernesto Del Rosario Santibanez Gonzalez; Peiwu Dong; Aihua Wang. 2020. "The waste-to-energy incineration plant site selection based on hesitant fuzzy linguistic Best-Worst method ANP and double parameters TOPSIS approach: A case study in China." Energy 211, no. : 118564.

Research article
Published: 17 August 2020 in Environmental Science and Pollution Research
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Rapid population growth and agricultural development are generating a considerable amount of effluents, which poses threats to the quality of rural water resources as well as sanitary conditions. However, with a range of rural wastewater treatment (WT) technologies available, one major problem facing the practitioners is which to choose as the most favorable option suited to specific areas. In this study, a novel decision-making framework is proposed to evaluate and select the optimal alternative in rural areas of Xi’an within multiple consecutive time periods. Firstly, an evaluation index system is constructed and picture fuzzy numbers (PFNs) are used to represent both evaluation levels and experts’ refusal due to limitation of knowledge. Secondly, fuzzy analytical hierarchy process (FAHP) is applied to derive weights of criteria, which enables experts to assign fuzzy numbers to express their preferences for comparison judgments. Thirdly, evidence theory is utilized to obtain the aggregated values from multiple time periods. Finally, based on the belief intervals obtained, sequencing batch reactor (A4) is determined as the optimal rural WT technology in Xi’an from 2006 to 2020, whereas the membrane bio-reactor (A2) is the last option. The effectiveness of the proposed framework is further validated by comparative analysis. This research can hopefully serve as useful guidance for the assessment of rural WT technologies in various regions.

ACS Style

Fan Zhang; Yanbing Ju; Peiwu Dong; Aihua Wang; Ernesto Del Rosario Santibanez Gonzalez. Multi-period evaluation and selection of rural wastewater treatment technologies: a case study. Environmental Science and Pollution Research 2020, 27, 45897 -45910.

AMA Style

Fan Zhang, Yanbing Ju, Peiwu Dong, Aihua Wang, Ernesto Del Rosario Santibanez Gonzalez. Multi-period evaluation and selection of rural wastewater treatment technologies: a case study. Environmental Science and Pollution Research. 2020; 27 (36):45897-45910.

Chicago/Turabian Style

Fan Zhang; Yanbing Ju; Peiwu Dong; Aihua Wang; Ernesto Del Rosario Santibanez Gonzalez. 2020. "Multi-period evaluation and selection of rural wastewater treatment technologies: a case study." Environmental Science and Pollution Research 27, no. 36: 45897-45910.

Journal article
Published: 17 July 2020 in Computers & Industrial Engineering
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Failure mode and effects analysis (FMEA) is an important technique in safety and reliability analysis, which has been widely used to identify and eliminate known or potential failure. In the process of evaluating failure modes (FMs), experts usually adopt different types of linguistic information to reflect their judgments, and the weights of experts or criteria are often incompletely known. This study aims to develop a novel approach to solve heterogeneous linguistic FMEA problem, in which the ratings of FMs are described by different types of linguistic information, and the information about the importance of experts and criteria is incomplete. Firstly, we propose a linguistic distribution assessment Shapley Choquet ordered averaging (LDASCOA) operator, and discuss some properties of the operator, such as idempotency, monotonicity, boundary and commutativity. Secondly, we present a new idea to convert different types of linguistic information to linguistic distribution assessments (LDAs). Thirdly, to obtain collective linguistic distribution assessment decision matrix and necessary weights, we construct a model to determine the optimal fuzzy measures on expert set with respect to each criterion considering the interactions among elements in the expert set. Fourthly, a new approach to determine the priority of FMs is proposed by defining linguistic distribution assessment ideal variate (LDAIV) and linguistic distribution assessment nadir variate (LDANV), as well as calculating the relative correlation coefficient of each failure. Finally, an illustrative example is given to demonstrate the calculation process of the developed approach, and the advantages are verified by comparing the evaluation result of the developed approach with that of existing methods.

ACS Style

Yanbing Ju; Yuanyuan Liang; Martínez Luis; Aihua Wang; Chen-Fu Chien; Peiwu Dong; Ernesto D.R. Santibanez Gonzalez. A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information. Computers & Industrial Engineering 2020, 148, 106659 .

AMA Style

Yanbing Ju, Yuanyuan Liang, Martínez Luis, Aihua Wang, Chen-Fu Chien, Peiwu Dong, Ernesto D.R. Santibanez Gonzalez. A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information. Computers & Industrial Engineering. 2020; 148 ():106659.

Chicago/Turabian Style

Yanbing Ju; Yuanyuan Liang; Martínez Luis; Aihua Wang; Chen-Fu Chien; Peiwu Dong; Ernesto D.R. Santibanez Gonzalez. 2020. "A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information." Computers & Industrial Engineering 148, no. : 106659.

Journal article
Published: 12 May 2020 in Computers & Industrial Engineering
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The choice of suitable health-care waste disposal alternative (HCWDA) is critical to health-care waste management and has recently attracted much attention for both researchers and practitioners. During the evaluation of HCWDA, there usually exists incomplete and uncertain information, and the experts cannot easily express their judgments on the alternatives with precise values. This paper presents a new framework based on the evaluation based on distance from average solution (EDAS) method for selecting desirable health-care waste disposal alternative(s). Multi-granular linguistic distribution assessments are adopted by experts to assess the ratings of alternatives and subjective weights of criteria. To reflect accurately the reality, an approach is firstly proposed to determine the experts’ weights with respect to each criterion based on Dice similarity measure. Secondly, to determine the objective weights of criteria a combination of the minimum variance and the maximizing deviation methods are introduced, from it the comprehensive weights of criteria will be derived. Thirdly, the traditional EDAS method is extended to rank and select reasonable HCWDA. Finally, a numerical example of the proposed framework is provided, and its validity is verified by comparing it with previous methods.

ACS Style

Yanbing Ju; Yuanyuan Liang; Martínez Luis; Ernesto D.R. Santibanez Gonzalez; Mihalis Giannakis; Peiwu Dong; Aihua Wang. A new framework for health-care waste disposal alternative selection under multi-granular linguistic distribution assessment environment. Computers & Industrial Engineering 2020, 145, 106489 .

AMA Style

Yanbing Ju, Yuanyuan Liang, Martínez Luis, Ernesto D.R. Santibanez Gonzalez, Mihalis Giannakis, Peiwu Dong, Aihua Wang. A new framework for health-care waste disposal alternative selection under multi-granular linguistic distribution assessment environment. Computers & Industrial Engineering. 2020; 145 ():106489.

Chicago/Turabian Style

Yanbing Ju; Yuanyuan Liang; Martínez Luis; Ernesto D.R. Santibanez Gonzalez; Mihalis Giannakis; Peiwu Dong; Aihua Wang. 2020. "A new framework for health-care waste disposal alternative selection under multi-granular linguistic distribution assessment environment." Computers & Industrial Engineering 145, no. : 106489.

Research article
Published: 12 March 2020 in Waste Management & Research: The Journal for a Sustainable Circular Economy
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The inadequate reuse and recycle of construction and demolition waste (C&DW) has been identified as a major issue, as it implies the depletion of natural aggregates, massive occupation of landfill and inefficiency of construction industry. However, a holistic view involving economic, technical and comprehensive dimensions has rarely been adopted for C&DW utilization evaluation against both qualitative and quantitative criteria. In this study, we propose a framework in a heterogeneous group decision-making environment to solve the C&DW utilization mode selection problem by integrating the Choquet integral and the elimination and choice translating reality (ELECTRE) method with two data forms, that is, interval-valued hesitant fuzzy numbers and real numbers. Firstly, an evaluation index system is constructed to assess multiple representative C&DW utilization modes in Xi’an, China. Secondly, a novel method is proposed to apply the Choquet integral for aggregation of evaluation values and fuzzy ELECTRE for outranking of C&DW utilization modes after the heterogenous evaluation data are unified into interval numbers. Thirdly, to illustrate the application of the proposed framework, this paper evaluates four typical C&DW utilization modes based on a case study in Xi’an, China, and the result shows that the most preferable mode is A3 (off-site crushing, roadbed backfilling). Finally, a comparative analysis is conducted to verify the effectiveness of this framework. This study presents useful findings to C&DW practitioners and can help avoid intuitive selection among available C&DW utilization modes.

ACS Style

Fan Zhang; Yanbing Ju; Peiwu Dong; Ernesto Del Rosario Santibanez Gonzalez. A fuzzy evaluation and selection of construction and demolition waste utilization modes in Xi’an, China. Waste Management & Research: The Journal for a Sustainable Circular Economy 2020, 38, 792 -801.

AMA Style

Fan Zhang, Yanbing Ju, Peiwu Dong, Ernesto Del Rosario Santibanez Gonzalez. A fuzzy evaluation and selection of construction and demolition waste utilization modes in Xi’an, China. Waste Management & Research: The Journal for a Sustainable Circular Economy. 2020; 38 (7):792-801.

Chicago/Turabian Style

Fan Zhang; Yanbing Ju; Peiwu Dong; Ernesto Del Rosario Santibanez Gonzalez. 2020. "A fuzzy evaluation and selection of construction and demolition waste utilization modes in Xi’an, China." Waste Management & Research: The Journal for a Sustainable Circular Economy 38, no. 7: 792-801.

Journal article
Published: 12 March 2020 in Advanced Engineering Informatics
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Selecting the proper construction equipment is a challenging task owing to a wide range of available types as well as a host of criteria to be considered during decision making. To deal with this, a heterogeneous group decision-making framework to evaluate multiple purchasing choices of construction equipment is proposed with two data forms, i.e., 2-dimension uncertain linguistic variables (2DULVs) and real numbers. Firstly, a novel way to derive weights of experts by social network analysis (SNA) is applied considering trust degrees among experts in a social trust network. Secondly, after evaluation index system is established, 2DULVs that include both the linguistic evaluations on alternatives and decision makers’ appraisals on the given evaluation results are applied to represent subjective fuzzy evaluation information, while real numbers are used to represent quantitative values. Thirdly, 2-dimension uncertain linguistic power generalized weighted aggregation (2DULPGWA) operator is applied to aggregate evaluation values among experts. Fourthly, analytic hierarchy process (AHP) and entropy method are utilized to derive combined weights of sub-criteria before the rank can be obtained by the evaluation based on distance from average solution (EDAS) method. Finally, a case study to evaluate multiple choices of loaders is proposed and a comparative analysis is conducted to prove the effectiveness of the proposed framework. This study provides a meaningful guidance for the optimal selection among various types of construction equipment.

ACS Style

Fan Zhang; Yanbing Ju; Ernesto D.R. Santibanez Gonzalez; Aihua Wang. SNA-based multi-criteria evaluation of multiple construction equipment: A case study of loaders selection. Advanced Engineering Informatics 2020, 44, 101056 .

AMA Style

Fan Zhang, Yanbing Ju, Ernesto D.R. Santibanez Gonzalez, Aihua Wang. SNA-based multi-criteria evaluation of multiple construction equipment: A case study of loaders selection. Advanced Engineering Informatics. 2020; 44 ():101056.

Chicago/Turabian Style

Fan Zhang; Yanbing Ju; Ernesto D.R. Santibanez Gonzalez; Aihua Wang. 2020. "SNA-based multi-criteria evaluation of multiple construction equipment: A case study of loaders selection." Advanced Engineering Informatics 44, no. : 101056.

Journal article
Published: 01 February 2020 in Journal of Cleaner Production
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ACS Style

Hengxia Gao; Yanbing Ju; Ernesto Del Rosario Santibanez Gonzalez; Wenkai Zhang. Green supplier selection in electronics manufacturing: An approach based on consensus decision making. Journal of Cleaner Production 2020, 245, 1 .

AMA Style

Hengxia Gao, Yanbing Ju, Ernesto Del Rosario Santibanez Gonzalez, Wenkai Zhang. Green supplier selection in electronics manufacturing: An approach based on consensus decision making. Journal of Cleaner Production. 2020; 245 ():1.

Chicago/Turabian Style

Hengxia Gao; Yanbing Ju; Ernesto Del Rosario Santibanez Gonzalez; Wenkai Zhang. 2020. "Green supplier selection in electronics manufacturing: An approach based on consensus decision making." Journal of Cleaner Production 245, no. : 1.

Journal article
Published: 11 January 2020 in Journal of Cleaner Production
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An important concern in the mining industry is to reduce greenhouse gas (GHG) emissions across all their processes in the supply chain (SC). A good supply chain network design (SCND) involving environmental strategic challenges allows dealing with this problem. Since the literature about SCND in the mining industry is scarce, in this paper we address a multi-echelon, multi-period and multi-product environmental mining SCND with the objective to reduce GHG emissions under Emissions Trading Scheme (ETS), along with minimizing investment, transportation, operating costs and carbon credits costs resulting by ETS. To solve this problem, we propose a mixed integer linear programming model that considers the location of capacitated facilities in the SC, addressing specific mining problems related to the ore grade available in mining fronts and the customer demand satisfaction in terms of quality and quantity, through additional processes such as blending and beneficiation that occurs along the several echelons of the mining SC. Our model integrates, for the first time the environmental impacts of ore grade on the mining SCND. Taking a base case inspired in a iron ore mining real-world scenario, several instances were generated to validate the proposed model. The results suggested that when the ore grade is included in the SC design, different configurations with direct effects on costs and emissions of equivalent carbon dioxide are obtained; in addition, the ETS showed to be a valid option for reducing both costs and the environmental impact along the SC. Finally, we analyze the environmental and economic impact in front of ore grade and carbon credit price variations to find managerial insights that can help decision-makers in this sector.

ACS Style

Claudio Vergara Valderrama; Ernesto Santibanez-González; Bruno Pimentel; Alfredo Candia-Véjar; Linda Canales-Bustos. Designing an environmental supply chain network in the mining industry to reduce carbon emissions. Journal of Cleaner Production 2020, 254, 119688 .

AMA Style

Claudio Vergara Valderrama, Ernesto Santibanez-González, Bruno Pimentel, Alfredo Candia-Véjar, Linda Canales-Bustos. Designing an environmental supply chain network in the mining industry to reduce carbon emissions. Journal of Cleaner Production. 2020; 254 ():119688.

Chicago/Turabian Style

Claudio Vergara Valderrama; Ernesto Santibanez-González; Bruno Pimentel; Alfredo Candia-Véjar; Linda Canales-Bustos. 2020. "Designing an environmental supply chain network in the mining industry to reduce carbon emissions." Journal of Cleaner Production 254, no. : 119688.