Evaluation of Indian Railway’s Supply Chain Parameters for Improved Sustainability Under Industry 4.0 Transformation: An Application of AHP and TOPSIS

References

• Adeodu, A., Kanakana-Katumba, M. G., & Rendani, M. (2021). Implementation of lean six sigma for production process optimization in paper production company. Journal of Industrial Engineering & Management, 14(3), 661–680. https://doi.org/10.3926/jiem.3479
   Google Scholar
• Agrawal, N. M. (2020). Benchmarking efficiency of Indian retailers using parametric and non-parametric approach. International Journal of Logistics Systems & Management, 35(3), 372–386. https://doi.org/10.1504/IJLSM.2020.105918
   Google Scholar
• Annual Report. (2012). https://indianrailways.gov.in/railwayboard/view_section.jsp?lang=0&id=0,1,304,366,554,1451,1453
   Google Scholar
• Awasthi, A., Sayyadi, R., & Khabbazian, A. (2018). A combined approach integrating gap analysis ,QFD, and AHP for improving logistics service quality. International Journal of Logistics Systems & Management, 29(2), 190–214. https://doi.org/10.1504/IJLSM.2018.089171
   Google Scholar
• Banaeian, N., Mobli, H., Fahimnia, B., Ewa Nielsen, I., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337–347.
   Web of Science ®Google Scholar
• Bhanot, N., & Singh, H. (2014). Benchmarking the performance indicators of Indian railway container business using data envelopment analysis. Benchmarking: An International Journal, 21(1), 101–120. https://doi.org/10.1108/BIJ-05-2012-0031
   Google Scholar
• Bhardwaj, S., & Jawalkar, C. S. (2015). A study on supply chain issues of Indian railway in samastipur division using AHP technique. Safety, 3(1), 0–33.
   Google Scholar
• Bouzon, M., Govindan, K., & Rodriguez, C. M. T. (2018). Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision approaching. Resources, Conservation & Recycling, 128, 315–335. https://doi.org/10.1016/j.resconrec.2016.11.022
   Web of Science ®Google Scholar
• Budget, et al. (2019–20). https://indianrailways.gov.in/railwayboard/view_section.jsp?lang=0&id=0,1,304,366,539,2193,2198
   Google Scholar
• Cai, J., Liu, X. D., Xiao, Z., & Liu, J. (2009). Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems Journal, 46(2), 512–521. https://doi.org/10.1016/j.dss.2008.09.004
   Web of Science ®Google Scholar
• Cullinane, K. (2017). Improving the quality of Sweden’s rail freight rolling stock: The use of data envelopment analysis in benchmarking and pricing. Benchmarking: An International Journal, 24(6), 1552–1570. https://doi.org/10.1108/BIJ-01-2016-0015
   Google Scholar
• Dmitry, T. (2018). Benchmarking the operational performance of Russian banks in 2013-2017: Finding best practices and sources of improvement. https://dspace.spbu.ru/bitstream/11701/12343/1/Banking_Efficiency_-_Dmitry_Tyunin.pdf
   Google Scholar
• Gandhi, N., & Kant, R. (2023). Evaluation of sustainability performance of the rail freight transportation: An index-based analysis. Proceedings.
   Google Scholar
• Gangaraju, P. K., Raj, R., Kumar, V., Akhil, N. S. B., De, T., & Kaswan, M. S. (2023). Financial performance in industry 4.0 agile supply chains: Evidence from manufacturing companies. The TQM Journal. https://doi.org/10.1108/TQM-07-2023-0214
   Google Scholar
• Garg, C. P., & Kashav, V. (2020). Assessment of sustainable initiatives in the containerized freight railways of India using fuzzy AHP framework. Transportation Research Procedia, 48, 522–539. https://doi.org/10.1016/j.trpro.2020.08.057
   Google Scholar
• Hassan, M. M., & Oukil, A. (2021). Design of efficient systems of commercial material handling equipment for supply chain and logistics facilities using DEA. International Journal of Logistics Systems & Management, 39(2), 241–272. https://doi.org/10.1504/IJLSM.2021.115493
   Google Scholar
• Ipinazar, A., Zarrabeitia, E., Belver, R. M. R., & de Alegría, I. M. (2021). Organizational culture transformation model: Towards a high performance organization. Journal of Industrial Engineering & Management, 14(1), 25–44. https://doi.org/10.3926/jiem.3288
   Google Scholar
• Jaklic, J., Trkman, P., Groznik, A., & Mojca Indihar Stemberger. (2006). Enhancing lean supply chain maturity with business process management. Journal of Information and Organizational Sciences, 30(2). https://doi.org/10.31341/jios
   Google Scholar
• Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020). Digitalization railway supply chain 4.0: Enterprise architecture perspective. International Journal, 9(5), 9056–9063.
   Google Scholar
• Jose, E., Agarwal, P., Zhuang, J., & Swaminathan, J. (2023). A multi-criteria decision approaching evaluating the performance of Indian railway zones. Annals of Operations Research, 325(2), 1133–1168. https://doi.org/10.1007/s10479-022-04866-2
   Web of Science ®Google Scholar
• Kaswan, M. S., Rathi, R., Antony, J., Cross, J., Garza-Reyes, J. A., Singh, M., Preet Singh, I., & Sony, M. (2023). Integrated green lean six sigma-industry 4.0 approach to combat COVID-19: From literature review to framework development. International Journal of Lean Six Sigma, 15(1), 50–79s. https://doi.org/10.1108/IJLSS-11-2022-0227
   Web of Science ®Google Scholar
• Kaswan, M. S., Rathi, R., Antony, J., Cross, J., Garza-Reyes, J. A., Singh, M., Singh, I. P., & Sony, M. (2023). Integrated green lean six sigma industry 4.0 approach to combat COVID-19: From literature review to framework development. International Journal of Lean Six Sigma. https://doi.org/10.1108/IJLSS-11-2022-0227
   Web of Science ®Google Scholar
• Kaswan, M. S., Rathi, R., Cross, J., Garza-Reyes, J. A., Antony, J., & Yadav, V. (2023). Integrating green lean six sigma and industry 4.0: A conceptual framework. Journal of Manufacturing Technology Management, 34(1), 87–121.
   Web of Science ®Google Scholar
• Ketchen, D. J. Jr., & Hult, G. T. M. (2007). Bridging organization the oryand supply chain management: The case of best value supply chains. Journal of Operations Management, 25(2), 573–580. https://doi.org/10.1016/j.jom.2006.05.010
   Web of Science ®Google Scholar
• Khan, A., & Gulati, R. (2021). Efficiency of microfinance institutions of South Asia: A bootstrap DEA approach. International Journal of Computational Economics and Econometrics, 11(1), 84–104.
   Web of Science ®Google Scholar
• Kirytopoulos, K., Leopoulos, V., & Voulgaridou, D. (2008). Supplier selection in pharmaceutical industry. Benchmarking: An International Journal, 15(4), 494–516. https://doi.org/10.1108/14635770810887267
   Google Scholar
• Krmac, E., & Djordjević, B. (2017). An evaluation of train control information systems for sustainable railway using the analytic hierarchy process (AHP) model. European Transport Research Review, 9(3), 1–17. https://doi.org/10.1007/s12544-017-0253-9
   Web of Science ®Google Scholar
• Kumar, N., Singh, A., Gupta, S., Kaswan, M. S., & Singh, M. (2023). Integration of lean manufacturing and industry 4.0: A bibliometric analysis. The TQM Journal, 36(1), 244–264. https://doi.org/10.1108/TQM-07-2022-0243
   Google Scholar
• Kumar, U., Kaswan, M. S., Kumar, R., Chaudhary, R., Garza-Reyes, J. A., Rathi, R., & Joshi, R. (2023a). A systematic review of industry 5.0 from main aspects to the execution status. The TQM Journal, 36(6), 1526–154. https://doi.org/10.1108/TQM-06-2023-0183
   Google Scholar
• Kumar, U., Kaswan, M. S., Kumar, R., Chaudhary, R., Garza-Reyes, J. A., Rathi, R., & Joshi, R. (2023b). A systematic review of industry 5.0 from main aspects to the execution status. The TQM Journal, 36(6), 1526–1549. https://doi.org/10.1108/TQM-06-2023-0183
   Google Scholar
• Malik, A., Sharma, S., Batra, I., Sharma, C., Kaswan, M. S., & Garza-Reyes, J. A. (2023a). Industrial revolution and environmental sustainability: An analytical interpretation of research constituents in industry 4.0. International Journal of Lean Six Sigma, 15(1), 22–49. https://doi.org/10.1108/IJLSS-02-2023-0030
   Web of Science ®Google Scholar
• Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1–25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
   Google Scholar
• Mittal, A., Sachan, S., Kumar, V., Vardhan, S., Verma, P., Kaswan, M. S., & Garza-Reyes, J. A. (2023). Essential organizational variables for the implementation of quality 4.0: Empirical evidence from the Indian furniture industry. The TQM Journal, 36(6), 1550–1568. https://doi.org/10.1108/TQM-06-2023-0189
   Google Scholar
• Moslem, S., Ghorbanzadeh, O., Blaschke, T., & Duleba, S. (2019). Analysing stakeholder consensus for a sustainable transport development decision by the fuzzy AHP and interval AHP. Sustainability, 11(12), 3271. https://doi.org/10.3390/su11123271
   Web of Science ®Google Scholar
• Olsson, N., & Haugland, H. (2004). Influencing factors on train punctuality—results from some Norwegian studies. Transport Policy, 11(4), 387–397. https://doi.org/10.1016/j.tranpol.2004.07.001
   Google Scholar
• Rahimi, I., Emrouznejad, A., Tang, S. H., & Ahmadi, A. (2020). Trade-off in facility location and facility efficiency in supply chain network: A data envelopment analysis approach. International Journal of Industrial and Systems Engineering, 36(4), 471–495. https://doi.org/10.1504/IJISE.2020.112186
   Google Scholar
• Ranjan, R., Chatterjee, P., & Chakraborty, S. (2016). Performance evaluation of Indian railway zones using DEMATEL and VIKOR methods. Benchmarking: An International Journal, 23(1), 78–95. https://doi.org/10.1108/BIJ-09-2014-0088
   Google Scholar
• Rathi, R., Sabale, D. B., Antony, J., Kaswan, M. S., & Jayaraman, R. (2022). An analysis of circular economy deployment in developing Nations’ manufacturing sector: A systematic state-of-the-art review. Sustainability, 14(18), 11354. https://doi.org/10.3390/su141811354
   Web of Science ®Google Scholar
• Rathi, R., Vakharia, A., & Kaswan, M. S. (2021). Grey relational analysis of green lean six sigma critical success factors for improved organisational performance. International Journal of Six Sigma and Competitive Advantage, 13(1–3), 55–75. https://doi.org/10.1504/IJSSCA.2021.120227
   Google Scholar
• Rosberg, T., Cavalcanti, T., Thorslund, B., Prytz, E., & Moertl, P. (2021). Drivability analysis of the European rail transport management system (ERTMS), a systematic literature review. Journal of Rail Transport Planning & Management, 18, 100240. https://doi.org/10.1016/j.jrtpm.2021.100240
   Web of Science ®Google Scholar
• Sarbast, M., & Szabolcs, D. (2019). Sustainable urban transport development by applying a fuzzy-AHP Model: A case study from Mersin, Turkey. Urban Science. http://dx.doi.org/10.3390/urbansci3020055
   Google Scholar
• Sharma, H. K., Roy, J., Samarjit, K., & Olegas, P. (2018). Multi-criteria evaluation framework for prioritizing Indian railway stations using modified rough app-magic method. Transport & Telecommunication, 19(2), 113. https://doi.org/10.2478/ttj-2018-0010
   Google Scholar
• Sharma, N. K. (2016). Supply chain management in Indian railways: A study of barriers to IT-Enablement. International Journal in Management & Social Science, 4(12), 301–319.
   Google Scholar
• Sharma, S., Malik, A., Sharma, C., Batra, I., Kaswan, M. S., & Garza-Reyes, J. A. (2023). Adoption of industry 4.0 in different sectors: A structural review using natural language processing. International Journal on Interactive Design & Manufacturing (IjideM), 1–23. https://doi.org/10.1007/s12008-023-01550-y
   Google Scholar
• Tripathi, G., & Tanksale, A. N. (2023). A decision support system for supplier selection in public procurement: A case of Banaras locomotive works, Varanasi. Applications of Operational Research in Business and Industries: Proceedings of 54th Annual Conference of ORSI (pp. 83–99). Springer Nature Singapore, Singapore.
   Google Scholar
• Tumsekcali, E., Ayyildiz, E., & Taskin, A. (2021). Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL Model: P-SERVQUAL 4.0. Expert Systems with Applications, 186. https://doi.org/10.1016/j.eswa.2021.115757
   Web of Science ®Google Scholar
• Vidoni, M., Montagna, J. M., & Vecchietti, A. (2020). Analysis, design and development of advanced planning systems. International Journal of Industrial and Systems Engineering, 36(3), 361–383. https://doi.org/10.1504/IJISE.2020.110937
   Google Scholar
• Wang, G., Huang, S. H., & Dismukes, J. P. (2004). Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics, 91(1), 1–15. https://doi.org/10.1016/S0925-5273(03)00221-4
   Web of Science ®Google Scholar
• Wazid, M., Kumar Das, A., Kumar, N., & Athanasios, V. V. (2019). Design of secure key management and user authentication scheme for fog computing services. Future Generation Computer Systems, 91, 475–492.
   Web of Science ®Google Scholar
• Yadav, V., Kumar, V., Gahlot, P., Mittal, A., Kaswan, M. S., Garza-Reyes, J. A., Rathi, R., Antony, J., Kumar, A., & Owad, A. A. (2023). Exploration and mitigation of green lean six sigma barriers: A higher education institutions perspective. The TQM Journal, ahead-of-print(ahead–of–print). https://doi.org/10.1108/TQM-03-2023-0069
   Google Scholar
• Židová, Z., & Zitrický, V. (2023). The impact of the use of technology in international rail freight transport on transport processes. Traffic&Transportation, 35(2), 243–254. https://doi.org/10.7307/ptt.v35i2.12
   Web of Science ®Google Scholar
• Zuo, J., Dong, L., Yang, F., Guo, Z., Wang, T., & Zuo, L. (2022). Energy harvesting solutions for railway transportation: A comprehensive review. Renewable Energy, 202, 56–87. https://doi.org/10.1016/j.renene.2022.11.008
   Web of Science ®Google Scholar