Integrated hybrid model of sustainable supply chain in cement industry

Document Type : Original Article

Authors

1 Assistant Prof. Industrial management, South Tehran branch, Islamic Azad University, Tehran, Iran. Email: fathikiamars@yahoo.com

2 Ph.D. Student, Industrial management, South Tehran branch, Islamic Azad University, Tehran, Iran. Email: bagheri22@gmail.com

3 Assistant Prof. Industrial Management, South Tehran branch, Islamic Azad University, Tehran, Iran. Email: m_modiri@azad.ac.ir

Abstract

In this research, by studying the research background and using the latest version of SCOR model and experts' opinion, while identifying the factors affecting supply chain stability and determining the weight of each factor by IVHF-DANP method, the priority of SSCM rings has been determined using EHFL-VIKOR method in cement industry with the aim of improving supply chain performance. Consequently, in addition to six criteria of SCOR model and three dimensions of sustainability approach, ten other factors have been determined by experts and in total, the weight of nineteen factors has been determined and the customer's interest ring has the most preference. Then, the relevant mathematical model was presented and solved in GAMS software using NSGA-II method in MATLAB software. The combined integrated model of sustainable supply chain has been dealt with in this research since the whole supply chain -from the primary supplier to the final customer- is considered in forming and solving the model and each of the objective functions has been realized by assigning the characteristics of the SCOR model to the three dimensions of the sustainability approach formed accordingly.

Keywords

References

Alabool, H. M., & Mahmood, A. K. Bin. (2016). A novel evaluation framework for improving trust level infrastructure as a service. Cluster Computing, 19 (1): 389-410. Doi: 10.1109/ICNN.1995.488968 https://doi.org/10.1016/j.trb.2017.04.003
APICS. (2017). Supply Chain Operations Reference Model, APICS, Version 12.0. www.apics.org/scor. Supply Chain Council, www.supply-chain.org SCOR® is a registered trademark of Supply Chain Council, Inc, ISBN 0-615-20259-4. Doi:10.1109/ICCCNT.2013.6726474 https://doi.org/1029/j.trb.2018.13.98
Brandenburg, M., Govindan, K., Sarkis, J.&  Seuring, S. (2014.( Quantitative models for sustainable supply chain management: developments and directions, European Journal of Operational Research , DOI: 10.1016/j.ejor.2013.09.032, 22-28. Doi: 10.1016/j.amc.2010.08.049 https://doi.org/1090/j.trb.2010.8.58
Divsalar, Mehdi, Safaei Qadikolaei, Abdolhamid.  &Madhoshi, Mehrdad. (2017). development of DANP decision making method based on fuzzy sets of question quantity interval, new research in decision making, No. (3). doi: 10.1016/j.proeng.2013.02.063 https://doi.org/1066/j.trb.2004.38.41
Grant, Mitchell.(2019). Sustainability, https://www.investopedia.com/terms/s/ sustainability.asp Doi: I 10.1007/s11721-007-0002-0 https://doi.org/1032/j.trb.2016.4.30
Gul. M., Celik, E., Aydin, N., Taskin Gumus, A., & Guneri, A. F. (2016). A state of the art literature review of VIKOR and its fuzzy extensions on applications. Applied Soft Computing, 46, 60-89. Doi:10.1016/j.asoc.2009.06.019 https://doi.org/1074/j.trb.2010.8.48
Hoi-Lam Ma, Wang, Z.X., Felix, T.S. Chan. (2020). How important are supply chain collaborative factors in supply chain finance? , International Journal of Production Economics 219, 341–346.  Doi: :10.1007/978-3-642-23935-9_3 https://doi.org/1026/j.trb.2020.29.21
Hussain, M., Ajmal, M.M., Khan, M., & Saber, H. (2015). Competitive prporities and Knowledge management. Journal of Manufacturing Technology Management, 26(6): 791-806. Doi: 10.1145/130844.130856 https://doi.org/1016/j.trb.2016.28.132
Kim. Y., Park, D., Um, M.-J., & Lee, H. (2015). Prioritizing alternatives in strategic environmental assessment (SEA) using VIKOR method with random sampling for data gaps. Expert Systems with Applications, 42(22): 8550-8556. Doi: :10.5281/zenodo.1216932 https://doi.org/1018/j.trb.2021.23.80
Koberg, Esteban, Longoni, Annachiara. (2019). A systematic review of sustainable supply chain management in global supply chains, Journal of Cleaner Production 207 - 1084e1098. Doi: :10.5281/zenodo.1216932 https://doi.org/1037/j.trb.2002.5.116
Mariouli,  Oussama El,  Abouabdellah,  Abdellah. (2019). A New Model of Supplier’s Selection for Sustainable Supply Chain Management,  ASTESJ ISSN: 2415-6698, Vol. 4, No. 2, 251-259, www.astesj.com,  DOI: 10.25046/aj040233. Doi: :10.5281/zenodo.1216932 https://doi.org/1047/j.trb.2012.4.21
Muhammad Amad Saeed, Wolfgang Kersten. (2019) .Drivers of Sustainable Supply Chain Management: Identification and Classification, Sustainability, 11, 1137; doi: 10.3390/su11041137. https://doi.org/1060/j.trb.2011.32.126
Naghshbandi, M. M., & Idris, F. (2012). Competitive priorities in Malaysian service industry. Business Strategy Series, 13(6): 263-273. https://doi.org/1058/j.trb.2005.36.99
Reaidy,  Paul J , Olivier Lavastre, Ageron Blandine, Ludivine Chaze-Magnan. (2020). Consumer integration in supply chain management: a taxonomy, Supply Chain Forum, DOI: 10.1080/16258312.2020.1718546. https://doi.org/1089/j.trb.2007.32.79
Safaei Ghadikolaei, Abdolhamid, Madhoshi, Mehrdad, Divsalar, Mehdi. (2018). Extension of the VIKOR method group decision making with extended hesitant fuzzy linguistic information, Neural Comput & Applic, DoI: 10.1007/s00521-017-2944-5 . Doi:  10.1109/32.979986 https://doi.org/1064/j.trb.2023.21.52
Sarkis, J. (2019). Handbook on the sustainable supply chain, Edward Elgar Pub USA, 44-147. DOI 10.4337/9781786434272. Doi: 10.5923/j.computer.20110101.03  https://doi.org/1021/j.trb.2023.38.64
Shen, K.-Y., & Tzeng, G.-H.(2015). A decision rule-based soft computing model for supporting financial performance improvement of the banking industry, Soft Computing, 19(4): 859-874. Doi: 10.1109/32.544352 https://doi.org/1053/j.trb.2009.6.117
Shen, K.-Y., Hu, S.-K., & Tzeng, G.-H. (2016). Financial modeling and improvement planning for the life insurance industry by using a rough knowledge based hybrid MCDM model. Information Sciences. Doi: 10.1016/j.mspro.2015.06.077 https://doi.org/1014/j.trb.2012.23.64
Torjai, L., Nagy, J., & Bai, A. (2015). Decision hierarchy, Competitive priorities and indicators in large-scale “herbaceous biomass to energy” supply chains. Biomass and Bioenergy, 80, 321-329.   Doi: 10.1016/j.procs.2015.08.438 https://doi.org/1098/j.trb.2011.15.132
Zhu, G.-N., Hu, J., Qi, J., Gu, C.-C., & peng, Y.-H. (2015). An integrated AHP and VIKOR for design concept evaluation based on rough number. Advanced Engineering Informatics, 29(3): 408-418. Doi: 10.1016/j.procs.2015.08.438 https://doi.org/1095/j.trb.2008.6.84
Zmathivathanan, D., Kannan, D., & Haq, A. N. (2017). Sustainable supply chain management practices in Indian automotive industry: A multi-stakeholder view. Resources Conservation and Recycling. doi: 10.12720/ijoee.2.3.221-225 https://doi.org/1074/j.trb.2002.4.137
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