Reaching sustainability through collection center selection considering risk: using the integration of Fuzzy ANP-TOPSIS and FMEA

[1]  Mohammad Mahdi Paydar,et al.  An engine oil closed-loop supply chain design considering collection risk , 2017, Comput. Chem. Eng..

[2]  Wei Zeng,et al.  Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA) , 2016, J. Intell. Manuf..

[3]  José Carlos R. Alcantud,et al.  Centroid Transformations of Intuitionistic Fuzzy Values Based on Aggregation Operators , 2018, Mathematics.

[4]  Zhang-peng Tian,et al.  Risk evaluation by FMEA of supercritical water gasification system using multi-granular linguistic distribution assessment , 2018, Knowl. Based Syst..

[5]  Romain Sacchi,et al.  New environmental supplier selection criteria for circular supply chains: Lessons from a consequential LCA study on waste recovery , 2018 .

[6]  Feng Li,et al.  A model integrating environmental concerns and supply risks for dynamic sustainable supplier selection and order allocation , 2020, Soft Comput..

[7]  Hong Fang,et al.  Failure mode and effects analysis: an integrated approach based on rough set theory and prospect theory , 2020, Soft Comput..

[8]  K. N. Jha,et al.  Assessing criticality of construction materials for prioritizing their procurement using ANP-TOPSIS , 2020, International Journal of Construction Management.

[9]  Saman Hassanzadeh Amin,et al.  A possibilistic solution to configure a battery closed-loop supply chain: Multi-objective approach , 2018, Expert Syst. Appl..

[10]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[11]  Ye Zhang,et al.  Integrated fuzzy AHP and fuzzy TOPSIS methods for multi-objective optimization of electro discharge machining process , 2019, Soft Comput..

[12]  Qian Wang,et al.  Implications from substance flow analysis, supply chain and supplier’ risk evaluation in iron and steel industry in Mainland China , 2017 .

[13]  Ghasem Khosrojerdi,et al.  Sustainable circular supplier selection: A novel hybrid approach. , 2020, The Science of the total environment.

[14]  D. Chang.  Applications of the extent analysis method on fuzzy AHP , 1996 .

[15]  M. Paydar,et al.  Scenario-based design of a steel sustainable closed-loop supply chain network considering production technology , 2020 .

[16]  Shyi-Ming Chen,et al.  Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values , 2016, Inf. Sci..

[17]  Mahmood Shafiee,et al.  An Integrated FTA-FMEA Model for Risk Analysis of Engineering Systems: A Case Study of Subsea Blowout Preventers , 2019, Applied Sciences.

[18]  Abhishek Dutta,et al.  A review of the current environmental challenges of the steel industry and its value chain. , 2020, Journal of environmental management.

[19]  N. Curi,et al.  Assessing soil contamination in automobile scrap yards by portable X-ray fluorescence spectrometry and magnetic susceptibility , 2019, Environmental Monitoring and Assessment.

[20]  Shahram Ariafar,et al.  Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods , 2018, Resources Policy.

[21]  J. Alcantud,et al.  Minkowski Weighted Score Functions of Intuitionistic Fuzzy Values , 2020, Mathematics.

[22]  S. Mangla,et al.  Benchmarking the risk assessment in green supply chain using fuzzy approach to FMEA , 2018, Benchmarking: An International Journal.

[23]  Muhammed I. Syam,et al.  A Numerical Solution of Fractional Lienard’s Equation by Using the Residual Power Series Method , 2017 .

[24]  Abbas Keramati,et al.  Website success comparison in the context of e-recruitment: An analytic network process (ANP) approach , 2013, Appl. Soft Comput..

[25]  Melissa A Harclerode,et al.  Early decision framework for integrating sustainable risk management for complex remediation sites: Drivers, barriers, and performance metrics. , 2016, Journal of environmental management.

[26]  Navdeep Kaur,et al.  Software effort estimation using FAHP and weighted kernel LSSVM machine , 2018, Soft Comput..

[27]  Tahir Mahmood,et al.  A graphical method for ranking Atanassov's intuitionistic fuzzy values using the uncertainty index and entropy , 2019, Int. J. Intell. Syst..

[28]  Thomas L. Saaty,et al.  Decision making with the analytic network process , 2013 .

[29]  K.K. Pochampally,et al.  A business-mapping approach to multi-criteria group selection of collection centers and recovery facilities , 2004, IEEE International Symposium on Electronics and the Environment, 2004. Conference Record. 2004.

[30]  J. A. L. Anjalee,et al.  Application of Failure Mode and Effect Analysis (FMEA) to improve medication safety: a systematic review , 2020, Postgraduate Medical Journal.

[31]  S. Hosseinian,et al.  An improved water footprint model of steel production concerning virtual water of personnel: The case of Iran. , 2020, Journal of environmental management.

[32]  Ali Kokangul,et al.  Classical and fuzzy FMEA risk analysis in a sterilization unit , 2016, Comput. Ind. Eng..

[33]  Genbao Zhang,et al.  Risk evaluation model for failure mode and effect analysis using intuitionistic fuzzy rough number approach , 2021, Soft Comput..

[34]  K. Lai,et al.  Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications. , 2010, Journal of environmental management.

[35]  Hamido Fujita,et al.  Enhancing PROMETHEE method with intuitionistic fuzzy soft sets , 2020, Int. J. Intell. Syst..

[36]  Rasim M. Alguliyev,et al.  Modified fuzzy TOPSIS + TFNs ranking model for candidate selection using the qualifying criteria , 2020, Soft Comput..

[37]  Mohammad Mahdi Paydar,et al.  An Integrated Approach for Collection Center Selection in Reverse Logistics , 2017 .

[38]  Hassan Mina,et al.  An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty , 2020, Journal of Cleaner Production.

[39]  Sarita Gajbhiye Meshram,et al.  Comparison of AHP and fuzzy AHP models for prioritization of watersheds , 2019, Soft Comput..

[40]  Ronald R. Yager,et al.  Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute Decision Making Methods , 2019, IEEE Transactions on Fuzzy Systems.

[41]  Alka Agrawal,et al.  Software Security Estimation Using the Hybrid Fuzzy ANP-TOPSIS Approach: Design Tactics Perspective , 2020, Symmetry.

[42]  Gwo-Hshiung Tzeng,et al.  A hybrid MCDM-based FMEA model for identification of critical failure modes in manufacturing , 2020, Soft Computing.

[43]  R. Parameshwaran,et al.  Fuzzy integrated QFD, FMEA framework for the selection of lean tools in a manufacturing organisation , 2018 .

[44]  Xinping Yan,et al.  An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks , 2019, Transportation Research Part E: Logistics and Transportation Review.

[45]  Sheng-Yuan Yang,et al.  A Balance Interface Design and Instant Image-based Traffic Assistant Agent Based on GPS and Linked Open Data Technology , 2019, Symmetry.

[46]  Muhammet Deveci,et al.  Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland , 2020 .

[47]  Mohamed Abdel-Basset,et al.  A Hybrid Neutrosophic Group ANP-TOPSIS Framework for Supplier Selection Problems , 2018, Symmetry.

[48]  Cengiz Kahraman,et al.  A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method , 2019, Soft Computing.

[49]  Ahmad Makui,et al.  Forward and reverse supply chain network design for consumer medical supplies considering biological risk , 2020, Comput. Ind. Eng..