Advancing circular economy assessments for sustainability benchmarking in resource and manufacturing supply chains: A scalable dynamic network framework
Evaluating sustainability and establishing benchmarks in multi-stage resource and manufacturing supply chains (SCs) through circular economy (CE) principles is challenging, especially when transitioning from theoretical to actual appraisals. Real-world interactions of time-varying components and bid...
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| Published in: | Journal of environmental management Vol. 393; p. 127180 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.10.2025
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| ISSN: | 0301-4797, 1095-8630, 1095-8630 |
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| Abstract | Evaluating sustainability and establishing benchmarks in multi-stage resource and manufacturing supply chains (SCs) through circular economy (CE) principles is challenging, especially when transitioning from theoretical to actual appraisals. Real-world interactions of time-varying components and bidirectional loops inside SC networks are often overlooked in existing approaches. This study proposes a novel framework to evaluate the sustainability of resource and manufacturing SCs in a CE context using dynamic network data envelopment analysis (DN-DEA). To this end, the research introduces a three-stage DN-DEA framework which integrates intra-stage bidirectional links, dual-role indices, and real-world periodic interactions, such as mid-term green investments and research and development (R&D) costs. By incorporating intra-stage and inter-period circular measures, the framework addresses the dynamic complexities of SCs, enhancing benchmarking reliability and offering actionable insights for decision-making. This method affords average efficiency and sustainability growth trends which allow for sustainability ranking of the SCs for accurate decision making. The dynamic applicability and benchmarking reliability of the framework are illustrated through a three-stage (mining, iron smelting, and distribution) case study. The framework's capacity for scalability allows different levels of resource and manufacturing configurations for both the series and series-parallel periodic approaches.
•Practical benchmarking tool developed for optimizing sustainable supply chains.•Novel dynamic network model with bidirectional restorative CE principles.•Multi-period framework captures sequential and non-sequential SSC interactions.•New ranking method assesses both efficiency levels and growth trajectories.•Applied to a three-stage supply chain case with resource and production flows. |
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| AbstractList | Evaluating sustainability and establishing benchmarks in multi-stage resource and manufacturing supply chains (SCs) through circular economy (CE) principles is challenging, especially when transitioning from theoretical to actual appraisals. Real-world interactions of time-varying components and bidirectional loops inside SC networks are often overlooked in existing approaches. This study proposes a novel framework to evaluate the sustainability of resource and manufacturing SCs in a CE context using dynamic network data envelopment analysis (DN-DEA). To this end, the research introduces a three-stage DN-DEA framework which integrates intra-stage bidirectional links, dual-role indices, and real-world periodic interactions, such as mid-term green investments and research and development (R&D) costs. By incorporating intra-stage and inter-period circular measures, the framework addresses the dynamic complexities of SCs, enhancing benchmarking reliability and offering actionable insights for decision-making. This method affords average efficiency and sustainability growth trends which allow for sustainability ranking of the SCs for accurate decision making. The dynamic applicability and benchmarking reliability of the framework are illustrated through a three-stage (mining, iron smelting, and distribution) case study. The framework's capacity for scalability allows different levels of resource and manufacturing configurations for both the series and series-parallel periodic approaches. Evaluating sustainability and establishing benchmarks in multi-stage resource and manufacturing supply chains (SCs) through circular economy (CE) principles is challenging, especially when transitioning from theoretical to actual appraisals. Real-world interactions of time-varying components and bidirectional loops inside SC networks are often overlooked in existing approaches. This study proposes a novel framework to evaluate the sustainability of resource and manufacturing SCs in a CE context using dynamic network data envelopment analysis (DN-DEA). To this end, the research introduces a three-stage DN-DEA framework which integrates intra-stage bidirectional links, dual-role indices, and real-world periodic interactions, such as mid-term green investments and research and development (R&D) costs. By incorporating intra-stage and inter-period circular measures, the framework addresses the dynamic complexities of SCs, enhancing benchmarking reliability and offering actionable insights for decision-making. This method affords average efficiency and sustainability growth trends which allow for sustainability ranking of the SCs for accurate decision making. The dynamic applicability and benchmarking reliability of the framework are illustrated through a three-stage (mining, iron smelting, and distribution) case study. The framework's capacity for scalability allows different levels of resource and manufacturing configurations for both the series and series-parallel periodic approaches.Evaluating sustainability and establishing benchmarks in multi-stage resource and manufacturing supply chains (SCs) through circular economy (CE) principles is challenging, especially when transitioning from theoretical to actual appraisals. Real-world interactions of time-varying components and bidirectional loops inside SC networks are often overlooked in existing approaches. This study proposes a novel framework to evaluate the sustainability of resource and manufacturing SCs in a CE context using dynamic network data envelopment analysis (DN-DEA). To this end, the research introduces a three-stage DN-DEA framework which integrates intra-stage bidirectional links, dual-role indices, and real-world periodic interactions, such as mid-term green investments and research and development (R&D) costs. By incorporating intra-stage and inter-period circular measures, the framework addresses the dynamic complexities of SCs, enhancing benchmarking reliability and offering actionable insights for decision-making. This method affords average efficiency and sustainability growth trends which allow for sustainability ranking of the SCs for accurate decision making. The dynamic applicability and benchmarking reliability of the framework are illustrated through a three-stage (mining, iron smelting, and distribution) case study. The framework's capacity for scalability allows different levels of resource and manufacturing configurations for both the series and series-parallel periodic approaches. Evaluating sustainability and establishing benchmarks in multi-stage resource and manufacturing supply chains (SCs) through circular economy (CE) principles is challenging, especially when transitioning from theoretical to actual appraisals. Real-world interactions of time-varying components and bidirectional loops inside SC networks are often overlooked in existing approaches. This study proposes a novel framework to evaluate the sustainability of resource and manufacturing SCs in a CE context using dynamic network data envelopment analysis (DN-DEA). To this end, the research introduces a three-stage DN-DEA framework which integrates intra-stage bidirectional links, dual-role indices, and real-world periodic interactions, such as mid-term green investments and research and development (R&D) costs. By incorporating intra-stage and inter-period circular measures, the framework addresses the dynamic complexities of SCs, enhancing benchmarking reliability and offering actionable insights for decision-making. This method affords average efficiency and sustainability growth trends which allow for sustainability ranking of the SCs for accurate decision making. The dynamic applicability and benchmarking reliability of the framework are illustrated through a three-stage (mining, iron smelting, and distribution) case study. The framework's capacity for scalability allows different levels of resource and manufacturing configurations for both the series and series-parallel periodic approaches. •Practical benchmarking tool developed for optimizing sustainable supply chains.•Novel dynamic network model with bidirectional restorative CE principles.•Multi-period framework captures sequential and non-sequential SSC interactions.•New ranking method assesses both efficiency levels and growth trajectories.•Applied to a three-stage supply chain case with resource and production flows. |
| ArticleNumber | 127180 |
| Author | Farzipoor Saen, Reza Wadley, David Shabanpour, Hadi Dargusch, Paul Lieske, Scott N. |
| Author_xml | – sequence: 1 givenname: Hadi orcidid: 0000-0002-3681-1070 surname: Shabanpour fullname: Shabanpour, Hadi email: h.shabanpour@uq.edu.au organization: School of the Environment, The University of Queensland, St Lucia, Queensland 4072, Australia – sequence: 2 givenname: Scott N. orcidid: 0000-0001-6335-6117 surname: Lieske fullname: Lieske, Scott N. email: scott.lieske@uq.edu.au organization: School of the Environment, The University of Queensland, St Lucia, Queensland 4072, Australia – sequence: 3 givenname: Paul orcidid: 0000-0001-9255-2803 surname: Dargusch fullname: Dargusch, Paul email: paul.dargusch@monash.edu organization: Faculty of Business and Economics, Monash University, Caufield East, VIC, 3145, Australia – sequence: 4 givenname: David surname: Wadley fullname: Wadley, David email: d.wadley@uq.edu.au organization: School of the Environment, The University of Queensland, St Lucia, Queensland 4072, Australia – sequence: 5 givenname: Reza orcidid: 0000-0002-0851-6509 surname: Farzipoor Saen fullname: Farzipoor Saen, Reza email: farzipour@yahoo.com organization: Department of Operations Management and Business Statistics, College of Economics and Political Science, Sultan Qaboos University, Muscat, Oman |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40939360$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1108/JEIM-12-2020-0494 10.1016/j.seps.2024.102054 10.1016/j.ejor.2022.09.028 10.1016/0377-2217(78)90138-8 10.3390/su13179789 10.1111/exsy.12435 10.1016/0304-4076(90)90045-U 10.1016/j.trd.2016.10.022 10.1016/j.omega.2014.11.009 10.1016/j.jclepro.2018.08.092 10.1108/IMDS-09-2016-0389 10.1016/j.seps.2017.01.008 10.1504/IJBPM.2014.065018 10.1108/MD-07-2018-0724 10.1016/j.jclepro.2024.141265 10.1080/01621459.1962.10482155 10.1016/j.jclepro.2017.08.054 10.1287/mnsc.30.9.1078 10.1016/j.cie.2022.108933 10.1016/j.measurement.2016.01.032 10.1016/j.jenvman.2024.121070 10.1051/ro/2020059 10.1016/j.eiar.2020.106441 10.1287/mnsc.39.10.1261 10.1007/978-3-031-24816-0_4 10.1051/ro/2014059 10.1016/j.heliyon.2023.e16584 10.1016/j.rser.2020.109948 10.1016/j.energy.2021.122365 10.1016/j.jclepro.2019.118798 10.1016/j.jclepro.2019.118190 10.1016/j.jbusres.2022.113357 10.1016/j.jclepro.2016.08.147 10.15388/Informatica.2015.57 |
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| Keywords | Sustainable decision-making Circular economy Sustainability benchmarking Real-world measures Dynamic network DEA Resource and manufacturing supply chains |
| Language | English |
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| References | Charnes, Cooper (bib6) 1962; 57 Stempfle, Carlucci, de Gennaro, Roselli, Giannoccaro (bib28) 2021; 13 Zakari, Khan, Tan, Alvarado, Dagar (bib39) 2022; 239 Emrouznejad, Yang (bib8) 2018; 61 Shabanpour, Yousefi, Farzipoor Saen (bib24) 2017; 142 Rashidi, Farzipoor Saen (bib16) 2018; 202 Azadi, Yousefi, Farzipoor Saen, Shabanpour, Jabeen (bib2) 2023; 154 Yousefi, Saen, Shabanpour, Ghods (bib31) 2024; 95 Bag, Gupta, Foropon (bib3) 2019; 57 Shabanpour, Dargusch, Wadley, Farzipoor Saen, Lieske (bib22) 2024; 360 Keshavarz Ghorabaee, Amiri, Zavadskas, Turskis (bib13) 2015; 26 Yousefi, Shabanpour, Ghods, Farzipoor Saen (bib36) 2023; 176 Fan, Fang (bib9) 2020; 84 Rezaei (bib17) 2015; 53 Yousefi, Shabanpour, Farzipoor Saen (bib33) 2015; 49 Hwang, Yoon (bib12) 1981 Yousefi, Soltani, Bonyadi Naeini, Farzipoor Saen (bib37) 2019; 36 Yousefi, Shabanpour, Fisher, Farzipoor Saen (bib35) 2016; 83 Charnes, Cooper, Rhodes (bib7) 1978; 2 Shabanpour, Yousefi, Farzipoor Saen (bib25) 2025; 38 Andersen, Petersen (bib1) 1993; 39 Shokri Kahi, Yousefi, Shabanpour, Farzipoor Saen (bib27) 2017; 117 Yousefi, Shabanpour, Farzipoor Saen, Faramarzi (bib34) 2014; 15 Saaty (bib19) 1996 Seiford, Thrall (bib20) 1990; 46 Banjerdpaiboon, Limleamthong (bib4) 2023; 9 Banker, Charnes, Cooper (bib5) 1984; 30 Yousefi, Soltani, Farzipoor Saen, Pishvaee (bib38) 2017; 166 Saaty (bib18) 1980 Shabanpour, Yousefi, Farzipoor Saen (bib26) 2017; 50 Fukuyama, Tsionas, Tan (bib10) 2023; 307 Hossain, Ng, Antwi-Afari, Amor (bib11) 2020; 130 Yousefi, Shabanpour, Farzipoor Saen (bib32) 2021; 55 Pohlmann, Scavarda, Alves, Korzenowski (bib15) 2020; 245 Shabanpour, Yousefi, Farzipoor Saen (bib23) 2019; 240 Mohammadi, Rezaei (bib14) 2023 Wadley (bib30) 2021; 5 Shabanpour, Dargusch, Wadley, Farzipoor Saen (bib21) 2024; 444 Fan (10.1016/j.jenvman.2025.127180_bib9) 2020; 84 Yousefi (10.1016/j.jenvman.2025.127180_bib36) 2023; 176 Seiford (10.1016/j.jenvman.2025.127180_bib20) 1990; 46 Shabanpour (10.1016/j.jenvman.2025.127180_bib26) 2017; 50 Shabanpour (10.1016/j.jenvman.2025.127180_bib22) 2024; 360 Yousefi (10.1016/j.jenvman.2025.127180_bib35) 2016; 83 Zakari (10.1016/j.jenvman.2025.127180_bib39) 2022; 239 Charnes (10.1016/j.jenvman.2025.127180_bib7) 1978; 2 Pohlmann (10.1016/j.jenvman.2025.127180_bib15) 2020; 245 Wadley (10.1016/j.jenvman.2025.127180_bib30) 2021; 5 Shabanpour (10.1016/j.jenvman.2025.127180_bib25) 2025; 38 Yousefi (10.1016/j.jenvman.2025.127180_bib32) 2021; 55 Shokri Kahi (10.1016/j.jenvman.2025.127180_bib27) 2017; 117 Rashidi (10.1016/j.jenvman.2025.127180_bib16) 2018; 202 Stempfle (10.1016/j.jenvman.2025.127180_bib28) 2021; 13 Banker (10.1016/j.jenvman.2025.127180_bib5) 1984; 30 Shabanpour (10.1016/j.jenvman.2025.127180_bib24) 2017; 142 Mohammadi (10.1016/j.jenvman.2025.127180_bib14) 2023 Shabanpour (10.1016/j.jenvman.2025.127180_bib21) 2024; 444 Banjerdpaiboon (10.1016/j.jenvman.2025.127180_bib4) 2023; 9 Hwang (10.1016/j.jenvman.2025.127180_bib12) 1981 Rezaei (10.1016/j.jenvman.2025.127180_bib17) 2015; 53 Shabanpour (10.1016/j.jenvman.2025.127180_bib23) 2019; 240 Charnes (10.1016/j.jenvman.2025.127180_bib6) 1962; 57 Yousefi (10.1016/j.jenvman.2025.127180_bib34) 2014; 15 Fukuyama (10.1016/j.jenvman.2025.127180_bib10) 2023; 307 Saaty (10.1016/j.jenvman.2025.127180_bib18) 1980 Yousefi (10.1016/j.jenvman.2025.127180_bib31) 2024; 95 Keshavarz Ghorabaee (10.1016/j.jenvman.2025.127180_bib13) 2015; 26 Yousefi (10.1016/j.jenvman.2025.127180_bib37) 2019; 36 Azadi (10.1016/j.jenvman.2025.127180_bib2) 2023; 154 Bag (10.1016/j.jenvman.2025.127180_bib3) 2019; 57 Emrouznejad (10.1016/j.jenvman.2025.127180_bib8) 2018; 61 Andersen (10.1016/j.jenvman.2025.127180_bib1) 1993; 39 Hossain (10.1016/j.jenvman.2025.127180_bib11) 2020; 130 Yousefi (10.1016/j.jenvman.2025.127180_bib38) 2017; 166 Saaty (10.1016/j.jenvman.2025.127180_bib19) 1996 Yousefi (10.1016/j.jenvman.2025.127180_bib33) 2015; 49 |
| References_xml | – year: 1980 ident: bib18 article-title: The Analytic Hierarchy Process – volume: 9 year: 2023 ident: bib4 article-title: Assessment of national circular economy performance using super-efficiency dual data envelopment analysis and malmquist productivity index: case study of 27 European countries publication-title: Heliyon – volume: 84 year: 2020 ident: bib9 article-title: Circular economy development in China—Current situation, evaluation and policy implications publication-title: Environ. Impact Assess. Rev. – volume: 36 year: 2019 ident: bib37 article-title: A robust hybrid artificial neural network double frontier data envelopment analysis approach for assessing sustainability of power plants under uncertainty publication-title: Expert Syst. – volume: 55 start-page: 51 year: 2021 end-page: 60 ident: bib32 article-title: Sustainable clustering of customers using capacitive artificial neural networks: a case study in Pegah Distribution Company publication-title: RAIRO Oper. Res. – volume: 245 year: 2020 ident: bib15 article-title: The role of the focal company in sustainable development goals: a Brazilian food poultry supply chain case study publication-title: J. Clean. Prod. – volume: 53 start-page: 49 year: 2015 end-page: 57 ident: bib17 article-title: Best-worst multi-criteria decision-making method publication-title: Omega – volume: 142 start-page: 1098 year: 2017 end-page: 1107 ident: bib24 article-title: Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks publication-title: J. Clean. Prod. – volume: 176 year: 2023 ident: bib36 article-title: How to improve the future efficiency of Covid-19 treatment centers? A hybrid framework combining artificial neural network and congestion approach of data envelopment analysis publication-title: Comput. Ind. Eng. – volume: 5 start-page: 75 year: 2021 end-page: 96 ident: bib30 article-title: Outside the city of grace: appraising dystopia and global sustainability publication-title: J. Popul. Sustain. – volume: 26 start-page: 435 year: 2015 end-page: 451 ident: bib13 article-title: Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS) publication-title: Informatica – volume: 15 start-page: 316 year: 2014 end-page: 328 ident: bib34 article-title: Making an ideal decision-making unit using virtual network data envelopment analysis approach publication-title: Int. J. Bus. Perform. Manag. – year: 1981 ident: bib12 article-title: Multiple Attribute Decision Making: Methods and applications—A state-of-the-art Survey – volume: 444 year: 2024 ident: bib21 article-title: A breakthrough in the circular economy: using a closed-loop framework to assess the circularity of supply chains publication-title: J. Clean. Prod. – volume: 39 start-page: 1261 year: 1993 end-page: 1264 ident: bib1 article-title: A procedure for ranking efficient units in data envelopment analysis publication-title: Manag. Sci. – volume: 57 start-page: 863 year: 2019 end-page: 885 ident: bib3 article-title: Examining the role of dynamic remanufacturing capability on supply chain resilience in circular economy publication-title: Manag. Decis. – volume: 13 start-page: 9789 year: 2021 ident: bib28 article-title: Available pathways for operationalizing circular economy into the olive oil supply chain: mapping evidence from a scoping literature review publication-title: Sustainability – volume: 95 year: 2024 ident: bib31 article-title: An innovative patient clustering method using data envelopment analysis–discriminant analysis and artificial neural networks: a case study in healthcare systems publication-title: Socio-Econ. Plan. Sci. – volume: 166 start-page: 537 year: 2017 end-page: 549 ident: bib38 article-title: A robust fuzzy possibilistic programming for a new network GP-DEA model to evaluate sustainable supply chains publication-title: J. Clean. Prod. – volume: 154 year: 2023 ident: bib2 article-title: Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis publication-title: J. Bus. Res. – year: 1996 ident: bib19 article-title: Decision Making with Dependence and Feedback: the Analytic Network Process – volume: 38 start-page: 68 year: 2025 end-page: 93 ident: bib25 article-title: Forecasting sustainability of supply chains in the circular economy context: a dynamic network data envelopment analysis and artificial neural network approach publication-title: J. Enterp. Inf. Manag. – volume: 2 start-page: 429 year: 1978 end-page: 444 ident: bib7 article-title: Measuring the efficiency of decision-making units publication-title: Eur. J. Oper. Res. – volume: 239 year: 2022 ident: bib39 article-title: Energy efficiency and sustainable development goals (SDGs) publication-title: Energy – volume: 202 start-page: 226 year: 2018 end-page: 243 ident: bib16 article-title: Incorporating dynamic concept into gradual efficiency: improving suppliers in sustainable supplier development publication-title: J. Clean. Prod. – start-page: 41 year: 2023 end-page: 47 ident: bib14 article-title: Identifying relative marginal value functions for ranking publication-title: Advances in best-worst Method, Lecture Notes in Operations Research – volume: 46 start-page: 7 year: 1990 end-page: 38 ident: bib20 article-title: Recent developments in DEA: the mathematical programming approach to frontier analysis publication-title: J. Econom. – volume: 130 year: 2020 ident: bib11 article-title: Circular economy and the construction industry: existing trends, challenges and prospective framework for sustainable construction publication-title: Renew. Sustain. Energy Rev. – volume: 30 start-page: 1078 year: 1984 end-page: 1092 ident: bib5 article-title: Some models for estimating technical and scale inefficiencies in data envelopment analysis publication-title: Manag. Sci. – volume: 57 start-page: 134 year: 1962 end-page: 148 ident: bib6 article-title: Chance constraints and normal deviates publication-title: J. Am. Stat. Assoc. – volume: 240 year: 2019 ident: bib23 article-title: Ranking sustainable suppliers using congestion approach of data envelopment analysis publication-title: J. Clean. Prod. – volume: 360 year: 2024 ident: bib22 article-title: A breakthrough in macro-scale circularity and eco-efficiency assessment: a case study of OECD countries publication-title: J. Environ. Manage. – volume: 50 start-page: 129 year: 2017 end-page: 143 ident: bib26 article-title: Future planning for benchmarking and ranking sustainable suppliers using goal programming and robust double frontiers DEA publication-title: Transp. Res. Part D Transp. Environ. – volume: 83 start-page: 72 year: 2016 end-page: 85 ident: bib35 article-title: Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis publication-title: Measurement – volume: 117 start-page: 1866 year: 2017 end-page: 1889 ident: bib27 article-title: How to evaluate sustainability of supply chains? A dynamic network DEA approach publication-title: Ind. Manag. Data Syst. – volume: 49 start-page: 601 year: 2015 end-page: 617 ident: bib33 article-title: Selecting the best supply chain by goal programming and network data envelopment analysis publication-title: RAIRO Oper. Res. – volume: 61 start-page: 4 year: 2018 end-page: 8 ident: bib8 article-title: A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016 publication-title: Socio-Econ. Plan. Sci. – volume: 307 start-page: 1360 year: 2023 end-page: 1373 ident: bib10 article-title: Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: application to the Chinese banking industry publication-title: Eur. J. Oper. Res. – volume: 38 start-page: 68 year: 2025 ident: 10.1016/j.jenvman.2025.127180_bib25 article-title: Forecasting sustainability of supply chains in the circular economy context: a dynamic network data envelopment analysis and artificial neural network approach publication-title: J. Enterp. Inf. Manag. doi: 10.1108/JEIM-12-2020-0494 – volume: 95 year: 2024 ident: 10.1016/j.jenvman.2025.127180_bib31 article-title: An innovative patient clustering method using data envelopment analysis–discriminant analysis and artificial neural networks: a case study in healthcare systems publication-title: Socio-Econ. Plan. Sci. doi: 10.1016/j.seps.2024.102054 – year: 1980 ident: 10.1016/j.jenvman.2025.127180_bib18 – volume: 307 start-page: 1360 year: 2023 ident: 10.1016/j.jenvman.2025.127180_bib10 article-title: Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: application to the Chinese banking industry publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2022.09.028 – volume: 2 start-page: 429 year: 1978 ident: 10.1016/j.jenvman.2025.127180_bib7 article-title: Measuring the efficiency of decision-making units publication-title: Eur. J. Oper. Res. doi: 10.1016/0377-2217(78)90138-8 – volume: 13 start-page: 9789 year: 2021 ident: 10.1016/j.jenvman.2025.127180_bib28 article-title: Available pathways for operationalizing circular economy into the olive oil supply chain: mapping evidence from a scoping literature review publication-title: Sustainability doi: 10.3390/su13179789 – volume: 36 year: 2019 ident: 10.1016/j.jenvman.2025.127180_bib37 article-title: A robust hybrid artificial neural network double frontier data envelopment analysis approach for assessing sustainability of power plants under uncertainty publication-title: Expert Syst. doi: 10.1111/exsy.12435 – volume: 46 start-page: 7 year: 1990 ident: 10.1016/j.jenvman.2025.127180_bib20 article-title: Recent developments in DEA: the mathematical programming approach to frontier analysis publication-title: J. Econom. doi: 10.1016/0304-4076(90)90045-U – volume: 50 start-page: 129 year: 2017 ident: 10.1016/j.jenvman.2025.127180_bib26 article-title: Future planning for benchmarking and ranking sustainable suppliers using goal programming and robust double frontiers DEA publication-title: Transp. Res. Part D Transp. Environ. doi: 10.1016/j.trd.2016.10.022 – volume: 53 start-page: 49 year: 2015 ident: 10.1016/j.jenvman.2025.127180_bib17 article-title: Best-worst multi-criteria decision-making method publication-title: Omega doi: 10.1016/j.omega.2014.11.009 – volume: 202 start-page: 226 year: 2018 ident: 10.1016/j.jenvman.2025.127180_bib16 article-title: Incorporating dynamic concept into gradual efficiency: improving suppliers in sustainable supplier development publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.08.092 – volume: 117 start-page: 1866 year: 2017 ident: 10.1016/j.jenvman.2025.127180_bib27 article-title: How to evaluate sustainability of supply chains? A dynamic network DEA approach publication-title: Ind. Manag. Data Syst. doi: 10.1108/IMDS-09-2016-0389 – volume: 61 start-page: 4 year: 2018 ident: 10.1016/j.jenvman.2025.127180_bib8 article-title: A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016 publication-title: Socio-Econ. Plan. Sci. doi: 10.1016/j.seps.2017.01.008 – volume: 15 start-page: 316 year: 2014 ident: 10.1016/j.jenvman.2025.127180_bib34 article-title: Making an ideal decision-making unit using virtual network data envelopment analysis approach publication-title: Int. J. Bus. Perform. Manag. doi: 10.1504/IJBPM.2014.065018 – volume: 57 start-page: 863 year: 2019 ident: 10.1016/j.jenvman.2025.127180_bib3 article-title: Examining the role of dynamic remanufacturing capability on supply chain resilience in circular economy publication-title: Manag. Decis. doi: 10.1108/MD-07-2018-0724 – year: 1981 ident: 10.1016/j.jenvman.2025.127180_bib12 – volume: 444 year: 2024 ident: 10.1016/j.jenvman.2025.127180_bib21 article-title: A breakthrough in the circular economy: using a closed-loop framework to assess the circularity of supply chains publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2024.141265 – volume: 57 start-page: 134 year: 1962 ident: 10.1016/j.jenvman.2025.127180_bib6 article-title: Chance constraints and normal deviates publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1962.10482155 – volume: 166 start-page: 537 year: 2017 ident: 10.1016/j.jenvman.2025.127180_bib38 article-title: A robust fuzzy possibilistic programming for a new network GP-DEA model to evaluate sustainable supply chains publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2017.08.054 – volume: 30 start-page: 1078 year: 1984 ident: 10.1016/j.jenvman.2025.127180_bib5 article-title: Some models for estimating technical and scale inefficiencies in data envelopment analysis publication-title: Manag. Sci. doi: 10.1287/mnsc.30.9.1078 – volume: 176 year: 2023 ident: 10.1016/j.jenvman.2025.127180_bib36 article-title: How to improve the future efficiency of Covid-19 treatment centers? A hybrid framework combining artificial neural network and congestion approach of data envelopment analysis publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2022.108933 – volume: 83 start-page: 72 year: 2016 ident: 10.1016/j.jenvman.2025.127180_bib35 article-title: Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis publication-title: Measurement doi: 10.1016/j.measurement.2016.01.032 – volume: 5 start-page: 75 year: 2021 ident: 10.1016/j.jenvman.2025.127180_bib30 article-title: Outside the city of grace: appraising dystopia and global sustainability publication-title: J. Popul. Sustain. – volume: 360 year: 2024 ident: 10.1016/j.jenvman.2025.127180_bib22 article-title: A breakthrough in macro-scale circularity and eco-efficiency assessment: a case study of OECD countries publication-title: J. Environ. Manage. doi: 10.1016/j.jenvman.2024.121070 – year: 1996 ident: 10.1016/j.jenvman.2025.127180_bib19 – volume: 55 start-page: 51 year: 2021 ident: 10.1016/j.jenvman.2025.127180_bib32 article-title: Sustainable clustering of customers using capacitive artificial neural networks: a case study in Pegah Distribution Company publication-title: RAIRO Oper. Res. doi: 10.1051/ro/2020059 – volume: 84 year: 2020 ident: 10.1016/j.jenvman.2025.127180_bib9 article-title: Circular economy development in China—Current situation, evaluation and policy implications publication-title: Environ. Impact Assess. Rev. doi: 10.1016/j.eiar.2020.106441 – volume: 39 start-page: 1261 year: 1993 ident: 10.1016/j.jenvman.2025.127180_bib1 article-title: A procedure for ranking efficient units in data envelopment analysis publication-title: Manag. Sci. doi: 10.1287/mnsc.39.10.1261 – start-page: 41 year: 2023 ident: 10.1016/j.jenvman.2025.127180_bib14 article-title: Identifying relative marginal value functions for ranking doi: 10.1007/978-3-031-24816-0_4 – volume: 49 start-page: 601 year: 2015 ident: 10.1016/j.jenvman.2025.127180_bib33 article-title: Selecting the best supply chain by goal programming and network data envelopment analysis publication-title: RAIRO Oper. Res. doi: 10.1051/ro/2014059 – volume: 9 year: 2023 ident: 10.1016/j.jenvman.2025.127180_bib4 article-title: Assessment of national circular economy performance using super-efficiency dual data envelopment analysis and malmquist productivity index: case study of 27 European countries publication-title: Heliyon doi: 10.1016/j.heliyon.2023.e16584 – volume: 130 year: 2020 ident: 10.1016/j.jenvman.2025.127180_bib11 article-title: Circular economy and the construction industry: existing trends, challenges and prospective framework for sustainable construction publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2020.109948 – volume: 239 year: 2022 ident: 10.1016/j.jenvman.2025.127180_bib39 article-title: Energy efficiency and sustainable development goals (SDGs) publication-title: Energy doi: 10.1016/j.energy.2021.122365 – volume: 245 year: 2020 ident: 10.1016/j.jenvman.2025.127180_bib15 article-title: The role of the focal company in sustainable development goals: a Brazilian food poultry supply chain case study publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2019.118798 – volume: 240 year: 2019 ident: 10.1016/j.jenvman.2025.127180_bib23 article-title: Ranking sustainable suppliers using congestion approach of data envelopment analysis publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2019.118190 – volume: 154 year: 2023 ident: 10.1016/j.jenvman.2025.127180_bib2 article-title: Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis publication-title: J. Bus. Res. doi: 10.1016/j.jbusres.2022.113357 – volume: 142 start-page: 1098 year: 2017 ident: 10.1016/j.jenvman.2025.127180_bib24 article-title: Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2016.08.147 – volume: 26 start-page: 435 year: 2015 ident: 10.1016/j.jenvman.2025.127180_bib13 article-title: Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS) publication-title: Informatica doi: 10.15388/Informatica.2015.57 |
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