Journal of Structural and Construction Engineering

Journal of Structural and Construction Engineering

Utility evaluation of the sustainable suppliers of the construction industry with a new hybrid approach in conditions of uncertainty (case study: Kian Borj Company)

Document Type : Original Article

Authors
mohammad hakimi 1
Amir Daneshvar 2
Mohammad Ehsanifar 3
Iraj Nouri 4
1 PhD student, Department of Civil Engineering, Arak Branch, Islamic Azad University, Arak, Iran
2 Assistant Professor, Department of Information Technology Management, Faculty of Management, Electronic Unit, Islamic Azad University, Tehran, Iran
3 Department of industrial engineering, Arak Branch, Islamic Azad University, Arak, IRAN
4 Associate Professor, Department of Industrial Engineering, Arak Branch, Islamic Azad University, Arak, Iran
10.22065/jsce.2024.447031.3370
Abstract
Deciding on sustainable supplier selection is a key issue in supply chain management, which has become a strategic goal for construction companies in recent years. The problem of choosing a sustainable supplier is considered a multi-indicator decision due to the consideration of multiple quality indicators. Some of the most widely used quantitative approaches known in this field can be used to solve these problems. considering the importance of the problem, the present research tries to present a new hybrid approach to evaluate and evaluate the desirability of sustainable suppliers in conditions of uncertainty by studying some multi-indicator decision-making techniques and examining study gaps. The new combined approach of four steps is used to measure the desirability of choosing sustainable suppliers, which are: In the first step, indicators and decision options were extracted to implement the combined approach. For this purpose, by examining the background of the research conducted in order to extract the indicators, then with the help of experts, 11 important indicators influencing the selection of sustainable suppliers were extracted and finally, decision options to make the best possible decision through an interview with the company under study. Presented. Then, in the second step, with the help of research experts, the importance-measurement of the research indicators was done, and with the help of the technique of ANP, the weights of the indicators were extracted. In the third step, VIKOR technique was used to rank and evaluate the decision options. Finally, by using the UTASTAR approach, it has estimated the desirability rating of selected suppliers in the studied construction industry. According to the results obtained from the present research, it is possible to evaluate and evaluate the suitability of the suppliers of other parts of the company or the sustainable suppliers that the organization will buy from in the future.
Keywords
Utility evaluation
Sustainable suppliers
Construction industry
Hybrid approach
UTASTAR method
Uncertainty conditions

Subjects

[1] Ashrafi, M; and Chaharsoghi, Kamal. (2014). Sustainable supplier selection and order allocation with modified benders decomposition. Journal of Advanced Mathematical Modeling, 3(2), 81-102.
[2] Ardavan, M. (2014). EMI risk assessment in a hospital ward with roaming wireless transmitters (Doctoral dissertation, Concordia University).‏
[3] Shahvand, E., Sebt, M. H., & Banki, M. T. (2014). Supply Chain Management Improvement through Value Engineering Approach in the Construction Industry. Amirkabir Journal of Civil Engineering, 45(2), 31-40. doi: 10.22060/ceej.2014.308
[4] Zingbagba, M., Nunes, R., & Fadairo, M. (2020). The impact of diesel price on upstream and downstream food prices: Evidence from São Paulo. Energy Economis, 85, 104531.
[5] Nimsai, S., Yoopetch, C., & Lai, P. (2020). Mapping the knowledge base of sustainable supply chain management: A bibliometric literature review. Sustainability, 12(18), 7348.
[6] Cantelmi, R., Di Gravio, G., & Patriarca, R. (2020). Learning from Incidents: A Supply Chain Management Perspective in Military Environments. Sustainability, 12(14), 5750.‏
[7] Muhammad, N., Fang, Z., Shah, S. A. A., Akbar, M. A., Alsanad, A., Gumaei, A., & Solangi, Y. A. (2020). A hybrid multi-criteria approach for evaluation and selection of sustainable suppliers in the avionics industry of Pakistan. Sustainability, 12(11), 4744.
[8] Institue, P. (2017). A Guide to the Project Management Body of Knowledge (PMBOK® Guide)-(ENGLISH). Project Management Institute.‏
[9] Kumar, N., et al. (2010). "Reforging construction supply chains: : a source selection  perspective." Journal of Retailing 86(2): 148-158.
[10] Kannan, D. 2018. “Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process”. International Journal of Production Economics, 195, 391-418.
[11] Aal, S. I. A. (2024). A Multi-Criteria Decision Making Model for Sustainable and Resilient Supplier Selection and Management. Neutrosophic Systems with Applications, 15, 33-45.‏
[12] Singh, R. R., Zindani, D., & Maity, S. R. (2024). A Novel Fuzzy-Prospect Theory Approach for Hydrogen Fuel Cell Component Supplier Selection for Automotive Industry. Expert Systems with Applications, 123142.‏
[13] Hoseini, S. A., Fallahpour, A., Wong, K. Y., Mahdiyar, A., Saberi, M., & Durdyev, S. (2021). Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches. Sustainability, 13(3), 1413.
[14] Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk. Journal of cleaner production, 190, 577-591.
[15] Goyal, S., Routroy, S., & Shah, H. (2018). Measuring the environmental sustainability of supply chain for Indian steel industry: a graph theoretic approach. Business Process Management Journal.
[16] Končar, J., Grubor, A., Marić, R., Vučenović, S., & Vukmirović, G. (2020). Setbacks to IoT implementation in the function of FMCG supply chain sustainability during COVID-19 pandemic. Sustainability, 12(18), 7391.
[17] Sánchez-Flores, R. B., Cruz-Sotelo, S. E., Ojeda-Benitez, S., & Ramírez-Barreto, M. E. (2020). Sustainable supply chain management: A literature review on emerging economies. Sustainability, 12(17), 6972.‏
[18] Tokbolat, S., Karaca, F., Durdyev, S., & Calay, R. K. (2020). Construction professionals’ perspectives on drivers and barriers of sustainable construction. Environment, Development and Sustainability, 22(5), 4361-4378.
[19] Carter, C. R., & Washispack, S. (2018). Mapping the path forward for sustainable supply chain management: a review of reviews. Journal of Business Logistics, 39(4), 242-247.
[20] Muhammad, N., Fang, Z., Shah, S. A. A., Akbar, M. A., Alsanad, A., Gumaei, A., & Solangi, Y. A. (2020). A hybrid multi-criteria approach for evaluation and selection of sustainable suppliers in the avionics industry of Pakistan. Sustainability, 12(11), 4744.
[21] Muhammad, J., Rahmanasari, D., Vicky, J., Maulidiyah, W. A., Sutopo, W., & Yuniaristanto, Y. (2020). Pemilihan Supplier Biji Plastik dengan Metode Analitycal Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Jurnal INTECH Teknik Industri Universitas Serang Raya, 6(2), 99-106.‏
[21] Luthra, S., Govindan, K., Kannan, D., Mangla, S. K., Garg, C. P., (2017). An integrated framework for sustainable supplier selection and evaluation in supply chains. Journal of Cleaner Production, 140, Part, 1686–1698.
[22] Memari, A., Dargi, A., Jokar, M. R. A., Ahmad, R., & Rahim, A. R. A. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of manufacturing systems, 50, 9-24.
[23] Khatami Firouz Abadi S M A, Olfat L, Doulabi S. 2015. "Select suppliers on sustainable supply chain using fuzzy multi-criteria decision-making techniques (Case study: parts manufacturing industry)". Journal of Decision Engineering. 1 (3), 7-38.
[24] Jain, N., & Singh, A. R. (2020). Sustainable supplier selection under must-be criteria through Fuzzy inference system. Journal of Cleaner Production, 248, 119275.‏
[25] Chen, Z., Ming, X., Zhou, T., & Chang, Y. (2020). Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach. Applied Soft Computing, 87, 106004.
[26] Rezaei, H. R., Taleghani, M., Shafieyan, M., & Nikandam, T. (2019). Supplier selection in the sustainable supply chain: The application of analytic hierarchy process and fuzzy data envelopment analysis. Iranian Journal of Optimization, 11(1), 33-47.
[27] Cheraghalipour, A., & Farsad, S. (2018). A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry. Computers & Industrial Engineering, 118, 237-250.‏
[28] Vahidi, F., Torabi, S. A., & Ramezankhani, M. J. (2018). Sustainable supplier selection and order allocation under operational and disruption risks. Journal of Cleaner Production, 174, 1351-1365.
[29] Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117.‏
[30] Khajeh, M., Amiri, M., Alfat, L., and Zandiyeh, M. (2019). Evaluation and selection of sustainable suppliers in intuitive fuzzy environment with best-worst and VIKOR multi-criteria hybrid approach. Operations Research in its Applications (Applied Mathematics), 17(1 (serial 64)), 25-48. SID. https://sid.ir/paper/164687/fa
[31] Rehman, A. U., Al-Zabidi, A., AlKahtani, M., Umer, U., & Usmani, Y. S. (2020). Assessment of supply chain agility to foster sustainability: fuzzy-DSS for a Saudi manufacturing organization. Processes, 8(5), 577.
[32] Laguna-Salvadó, L., Lauras, M., Okongwu, U., & Comes, T. (2019). A multicriteria Master Planning DSS for a sustainable humanitarian supply chain. Annals of Operations Research, 283(1), 1303-1343.
[33] Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G. W. (2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517.
[34] Abdel-Baset, M., Chang, V., Gamal, A., & Smarandache, F. (2019). An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry, 106, 94-110.
[35] Chakraborty, S., Chatterjee, P., & Das, P. P. (2024). Analytic Network Process (Anp). In Multi-Criteria Decision-Making Methods in Manufacturing Environments (pp. 39-61). Apple Academic Press.‏
[36] Chakraborty, S., Chatterjee, P., & Das, P. P. (2024). Viekriterijumsko Kompromisno Rangiranje (Vikor). In Multi-Criteria Decision-Making Methods in Manufacturing Environments (pp. 99-109). Apple Academic Press.‏
[37] Ehsanifar, Mohammad, David A. Wood, and Arezoo Babaie. 2021. "UTASTAR method and its application in multi-criteria warehouse location selection." Operations Management Research 14.1. 202-215.‏
[38] Ebrahimi Malekshah, M. E., Mehdiabadi, A., Pourmansouri, R., Spulbar, C., & Birau, R. (2022). Risk Allocation Optimization between Owner and Contractor in Construction Projects by Using the UTA-STAR Method. Applied Sciences, 12(17), 8402.‏
[39] Makui, A., & Momeni, M. (2012). Using CSW weight’s in UTASTAR method. Decision Science Letters, 1(1), 39-46.‏
[40] Patiniotakis, I., Apostolou, D., & Mentzas, G. (2011). Fuzzy UTASTAR: A method for discovering utility functions from fuzzy data. Expert Systems with Applications, 38(12), 15463-15474.‏
[41] Rait Pisheh, S., Ahmadi Kohnali, R., & Abbasi, M. (2017). Identification and evaluation of sustainable supply chain indicators in the petrochemical industry with a multi-criteria decision-making approach. Industrial Management Studies, 16(51), 145-180. doi: 10.22054/jims.2019.3955.1556

  • Receive Date 05 March 2024
  • Revise Date 09 June 2024
  • Accept Date 14 July 2024