Journals / Journal of Transportation and Logistics / 2024 / Volume: 9 Issue: 2

Smart and Sustainable Supplier Balanced Scorecard: A Novel Hybrid Best-Worst-Based Method

Turan Paksoy(NECMETTIN ERBAKAN UNIVERSITY, FACULTY OF ENGINEERING-ARCHITECTURE, DEPARTMENT OF INDUSTRIAL ENGINEERING)0000-0001-8051-8560
Sercan Demir(Northumbria University, Newcastle Business School, Department of Marketing, Operations and Systems)0000-0003-0764-9083
Mehmet Akif Gündüz(NECMETTIN ERBAKAN UNIVERSITY, FACULTY OF APPLIED SCIENCES, DEPARTMENT OF INTERNATIONAL TRADE)0000-0002-3884-1409
Pages
—
Publication Date
2024-11-19
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, we discuss the potential benefits and managerial implications of the smart and sustainable supplier scorecard.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study’s novel smart and sustainable supplier scorecard is based on the best-worst method-enhanced balanced scorecard approach for supplier assessment and monitoring.
📊
Key Findings & Data:The proposed smart and sustainable supplier scorecard evaluates suppliers in six dimensions: performance, quality management, risk analysis, environmental management, smartness, and legitimacy.
💡
Conclusion & Impact:Finally, we discuss the potential benefits and managerial implications of the smart and sustainable supplier scorecard.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Supplier assessment · Supplier monitoring · Risk management

Abstract

This study’s novel smart and sustainable supplier scorecard is based on the best-worst method-enhanced balanced scorecard approach for supplier assessment and monitoring. The proposed smart and sustainable supplier scorecard evaluates suppliers in six dimensions: performance, quality management, risk analysis, environmental management, smartness, and legitimacy. Quantitative indicators and metrics calculate each dimension. The smart and sustainable supplier scorecard is designed for businesses to assess and monitor their suppliers’ performance regarding digitization and sustainability and evaluate strategies and initiatives that meet their objectives and targets. Furthermore, we present a case study showing the applicability of the smart and sustainable supplier scorecard. The proposed approach will give organizations a holistic view of their suppliers, allowing them to achieve digitization and sustainability goals. Finally, we discuss the potential benefits and managerial implications of the smart and sustainable supplier scorecard.

🔖

Cite This Article

Paksoy, T., Demir, S., Gündüz, M. A. (2024). Smart and Sustainable Supplier Balanced Scorecard: A Novel Hybrid Best-Worst-Based Method. Journal of Transportation and Logistics, Volume: 9 Issue: 2. https://doi.org/10.26650/JTL.2024.1432989

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (98)

  1. Al Naimi, M., Faisal, Mohd. N., & Sobh, R. (2020). Prioritization of supply chain reconfiguration variables using balanced score card and analytic network process. International Journal of Operations and Quantitative Management, 26(2), 95-119. https://doi.Org/10.46970/2020.26.2.2 google scholar
  2. Aliakbari Nouri, F., Shafiei Nikabadi, M., & Olfat, L. (2019). Developing the framework of sustainable service supply chain balanced scorecard (SSSC BSC). International Journal of Productivity and Performance Management, 68(1), 148-170. https://doi.org/10.1108/IJPPM-04-2018-0149 google scholar
  3. AlMaian, R. Y., Needy, K. L., Alves, T. da C. L., & Walsh, K. D. (2016). Analyzing effective supplier-quality-management prac-tices using simple multiattribute rating technique and value-focused thinking. Journal of Management in Engineering, 32(1). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000364 google scholar
  4. Anjomshoae, A., Hassan, A., & Wong, K. Y. (2019). An integrated AHP-based scheme for performance measurement in humanitarian supply chains. International Journal of Productivity and Performance Management, 68(5), 938-957. https://doi.org/10.1108/JPPM-04-2018-0132 google scholar
  5. Aqlan, F., Lam, S. S., & Ramakrishnan, S. (2016). Assessment of supply chain readiness for transformation. International Journal of Business Performance and Supply Chain Modelling, 8(3), 181-200. https://doi.org/10.1504/JBPSCM.2016.078562 google scholar
  6. Asif, M., Searcy, C., & Castka, P. (2022). Exploring the role of industry 4.0 in enhancing supplier audit authenticity, efficacy, and cost effectiveness. Journal of Cleaner Production, 331, 129939. https://doi.org/10.1016/j.jclepro.2021.129939 google scholar
  7. Bae, J., Lund-Thomsen, P., & Lindgreen, A. (2021). Global value chains and supplier perceptions of corporate social responsibility: A case study of garment manufacturers in Myanmar. Global Networks, 21(4), 653-680. https://doi.org/10.1111/glob.12298 google scholar
  8. Barber, E. (2008). How to measure the “value” in value chains. International Journal of Physical Distribution & Logistics Management, 38(9), 685-698. https://doi.org/10.1108/09600030810925971 google scholar
  9. Basu, R., Little, C., & Millard, C. (2009). Case study: A fresh approach of the balanced scorecard in the Heathrow Terminal 5 project. Measuring Business Excellence, 13(4), 22-33. https://doi.org/10.1108/13683040911006765 google scholar
  10. Bigliardi, B., & Bottani, E. (2010). Performance measurement in the food supply chain: A balanced scorecard approach. Facilities, 28(5/6), 249-260. https://doi.org/10.1108/02632771011031493 google scholar
  11. Brege, S., Brehmer, P.O. and Rehme, J. (2008). Managing supplier relations with balanced scorecard. International Journal of Knowledge Management Studies, 2(1), 147-161. https://doi.org/10.1504/ykms.2008.016447 google scholar
  12. Brewer, P. C. (2002). Aligning supply chain incentives using the balanced scorecard. Supply Chain Forum: An International Journal, 3(1), 12-19. https://doi.org/10.1080/16258312.2002.11517094 google scholar
  13. Burke, J. J., Hoitash, R., & Hoitash, U. (2019). The heterogeneity of board-level sustainability committees and corporate social performance. Journal of Business Ethics, 154(4), 1161-1186. https://doi.org/10.1007/s10551-017-3453-2 google scholar
  14. Cadez, S., & Czerny, A. (2016). Climate change mitigation strategies in carbon-intensive firms. Journal of Cleaner Production, 112, 4132-4143. https://doi.org/10.1016/j.jclepro.2015.07.099 google scholar
  15. Chandra, D., & Kumar, D. (2019). Two-way assessment of key performance indicators to vaccine supply chain system in India. International Journal of Productivity and Performance Management, 68(1), 194-230. https://doi.org/10.1108/UPPM-02-2018-0078 google scholar
  16. Chang, H. H. (2009). An empirical study of evaluating supply chain management integration using the balanced scorecard in Taiwan. The Service Industries Journal, 29(2), 185-202. https://doi.org/10.1080/02642060802294961 google scholar
  17. Chang, H. H., Hung, C.-J., Wong, K. H., & Lee, C.-H. (2013). Using the balanced scorecard on supply chain integration performance—a case study of service businesses. Service Business, 7(4), 539-561. https://doi.org/10.1007/s11628-012-0175-5 google scholar
  18. Chang, T.-W., Pai, C.-J., Lo, H.-W., & Hu, S.-K. (2021). A hybrid decision-making model for sustainable supplier evaluation in electronics manufacturing. Computers & Industrial Engineering, 156, 107283. https://doi.org/10.1016/j.cie.2021.107283 google scholar
  19. Chen, P. S., & Wu, M. T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers & Industrial Engineering, 66(4), 634-642. https://doi.org/10.1016/j.cie.2013.09.018 google scholar
  20. Chen, T., & Hu, L. (2022). Enterprise supplier evaluation model based on entropy weight method in calculus learning (pp. 440-447). https://doi.org/10.1007/978-3-031-04809-8_39 google scholar
  21. Chia, A., Goh, M., & Hum, S. (2009). Performance measurement in supply chain entities: Balanced scorecard perspective. Benchmarking: An International Journal, 16(5), 605-620. https://doi.org/10.1108/14635770910987832 google scholar
  22. Chorfi, Z., Benabbou, L., & Berrado, A. (2018). An integrated performance measurement framework for enhancing public health care supply chains. Supply Chain Forum: An International Journal, 19(3), 191-203. https://doi.org/10.1080/16258312.2018.1465796 google scholar
  23. Cinnirella, V., Carpitella, S., Coco, A., Frangiamore, D. D. M., & de Geronimo, R. P. (2022). Sustainable suppliers evaluation in the waste man-agement sector: The case of a leading Sicilian enterprise. IFAC-PapersOnLine, 55(11), 66-71. https://doi.org/10.1016/j.ifacol.2022.08.050 google scholar
  24. Coşkun, S. S., Kumru, M., & Kan, N. M. (2022). An integrated framework for sustainable supplier development through supplier evaluation based on sustainability indicators. Journal of Cleaner Production, 335, 130287. https://doi.org/10.1016/j.jclepro.2021.130287 google scholar
  25. Cunha Callado, A. A., & Jack, L. (2015). Balanced scorecard metrics and specific supply chain roles. International Journal of Productivity and Performance Management, 64(2), 288-300. https://doi.org/10.1108/UPPM-05-2014-0071 google scholar
  26. Cunha Callado, A. A., & Jack, L. (2017). Relations between usage patterns of performance indicators and the role of individual firms in fresh fruit agri-food supply chains. Journal of Applied Accounting Research, 18(3), 375-398. https://doi.org/10.1108/JAAR-04-2016-0037 google scholar
  27. De Giovanni, P., & Cariola, A. (2021). Process innovation through industry 4.0 technologies, lean practices and green supply chains. Research in Transportation Economics, 90, 100869. https://doi.org/10.1016/j.retrec.2020.100869 google scholar
  28. de Moura, R. L., Gonzalez, A., Franqueira, V. N. L., Neto, A. L. M., & Pessin, G. (2021). Geographically dispersed supply chains: A strategy to manage cybersecurity in industrial networks integration. In Advances in Cybersecurity Management (pp. 97-116). Springer International Publishing. https://doi.org/10.1007/978-3-030-71381-2_6 google scholar
  29. Designing Buildings. (2023, March 7). Heating ventilation and air conditioning HVAC. Retrieved May 12, 2023, from https://www.designingbuildings.co.uk/wiki/Heating_ventilation_and_air_conditioning_HVAC google scholar
  30. Dhiaf, M. M., Benabdelhafid, A., & Jaoua, F. (2012). Supply chain flexibility and balanced scorecard: Conceptual model and empirical study in Tunisian companies launched upgrading program. Polish Journal of Management Studies, 5(1), 34-58. google scholar
  31. Doolen, T., Traxler, M. M., & McBride, K. (2006). Using scorecards for supplier performance improvement: Case application in a lean manufacturing organization. Engineering Management Journal, 18(2), 26-34. https://doi.org/10.1080/10429247.2006.11431691 google scholar
  32. Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163, 105064. https://doi.org/10.1016/j.resconrec.2020.105064 google scholar
  33. Expert Market Research. (2023). Global HVAC market report and forecast 2023-2028. Retrieved May 16, 2023, from https://www.expertmarketresearch.com/reports/hvac-market google scholar
  34. Fernandes, A. C., Vilhena, E., Oliveira, R., Sampaio, P., & Carvalho, M. S. (2022). Supply chain quality management impact on organi-zation performance: Results from an international survey. International Journal of Quality & Reliability Management, 39(2), 630-646. https://doi.org/10.1108/UQRM-05-2020-0159 google scholar
  35. Ferreira, L. M. D. F., Silva, C., & Azevedo, S. G. (2016). An environmental balanced scorecard for supply chain performance measurement (Env_BSC_4_SCPM). Benchmarking: An International Journal, 23(6), 1398-1422. https://doi.org/10.1108/BU-08-2013-0087 google scholar
  36. Foerstl, K., Reuter, C., Hartmann, E., & Blome, C. (2010). Managing supplier sustainability risks in a dynamically changing environ-ment—sustainable supplier management in the chemical industry. Journal of Purchasing and Supply Management, 16(2), 118-130. https://doi.org/10.1016/j.pursup.2010.03.011 google scholar
  37. Franceschini, F., & Turina, E. (2012). Proposal for a performance dashboard for the monitoring of water and sewage service companies (WaSCs). Water Resources Management, 26(1), 63-80. https://doi.org/10.1007/s11269-011-9901-3 google scholar
  38. Frederico, G. F., Garza-Reyes, J. A., Kumar, A., & Kumar, V. (2020). Performance measurement for supply chains in the Indus-try 4.0 era: A balanced scorecard approach. International Journal of Productivity and Performance Management, 70(4), 789-807. https://doi.org/10.1108/UPPM-08-2019-0400 google scholar
  39. Fu, H., Li, K., & Fu, W. (2020). Investing in suppliers with capacity constraints in a decentralized assembly system. Computers & Industrial Engineering, 142, 106332. https://doi.org/10.1016/j.cie.2020.106332 google scholar
  40. Galankashi, M. R., Helmi, S. A., & Hashemzahi, P. (2016). Supplier selection in automobile industry: A mixed balanced scorecard-fuzzy AHP approach. Alexandria Engineering Journal, 55(1), 93-100. https://doi.Org/10.1016/j.aej.2016.01.005 google scholar
  41. Gao, L. (2015). Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management. European Journal of Operational Research, 245(1), 133-145. https://doi.org/10.1016/j.ejor.2015.02.048 google scholar
  42. Golrizgashti, S. (2016). Effect of knowledge management on supply chain value, empirical evidence from Iran. International Journal of Business Performance and Supply Chain Modelling, 8(2), 97-129. https://doi.org/10.1504/UBPSCM.2016.077165 google scholar
  43. Gonzalez-Padron, T. L. (2016). Ethics in the supply chain: Follow-up processes to audit results. Journal of Marketing Channels, 23(1-2), 22-33. https://doi.org/10.1080/1046669X.2016.1147341 google scholar
  44. Govindan, K., Kaul, A., Darbari, J. D., & Jha, P. C. (2023). Analysis of supplier evaluation and selection strategies for sustainable collaboration: A combined approach of best-worst method and TOmada de Decisao Interativa Multicriterio. Business Strategy and the Environment. https://doi.org/10.1002/bse.3374 google scholar
  45. Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: A literature review. Journal of Cleaner Production, 98, 66-83. https://doi.org/10.1016/j.jclepro.2013.06.046 google scholar
  46. Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24. https://doi.org/10.1016/j.ejor.2009.05.009 google scholar
  47. Hosseinnezhad, D., Nugroho, Y. K., & Heavey, C. (2023). Horizontal collaboration between suppliers to mitigate supply chain disruption: A secure resource sharing strategy. Computers & Industrial Engineering, 177, 109088. https://doi.org/10.1016/j.cie.2023.109088 google scholar
  48. Hudnurkar, M., Rathod, U., Jakhar, S. K., & Vaidya, O. S. (2018). Development of a balanced scorecard-based supplier collaborative performance index. International Journal of Productivity and Performance Management, 67(2), 401-425. https://doi.org/10.1108/UPPM-05-2016-0084 google scholar
  49. ISKID. (2023, April 28). 2022 Turkey HVAC’R Industry report. ISKID. Retrieved May 17, 2023, from https://iskid.org.tr/en/2022-turkey-hvacr-industry-report/ google scholar
  50. Jalali Naini, S. G., Aliahmadi, A. R., & Jafari-Eskandari, M. (2011). Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study ofan auto industry supply chain. Resources, Conservation and Recycling, 55(6), 593-603. https://doi.org/10.1016/j.resconrec.2010.10.008 google scholar
  51. Jochem, R., Menrath, M., & Landgraf, K. (2010). Implementing a quality-based performance measurement system. The TQM Journal, 22(4), 410-422. https://doi.org/10.1108/17542731011053334 google scholar
  52. Khaleeli, M., Faisal, R., & Anwar, S. (2021). The effect of green marketing, green supply chain and green human resources on business performance: Balanced scorecard approach. Uncertain Supply Chain Management, 133-138. https://doi.org/10.5267/j.uscm.2020.11.001 google scholar
  53. Khan, S. A. R., Dong, Q. L., & Yu, Z. (2016). Research on the measuring performance of green supply chain management: In the perspective of China. International Journal of Engineering Research in Africa, 27, 167-178. https://doi.org/10.4028/www.scientific.net/JERA.27.167 google scholar
  54. Kilubi, I. (2016). The strategies of supply chain risk management - a synthesis and classification. International Journal of Logistics Research and Applications, 19(6), 604-629. https://doi.org/10.1080/13675567.2016.1150440 google scholar
  55. Kim, J., & Rhee, J. (2012). An empirical study on the impact of critical success factors on the balanced scorecard perfor-mance in Korean green supply chain management enterprises. International Journal of Production Research, 50(9), 2465-2483. https://doi.org/10.1080/00207543.2011.581009 google scholar
  56. Klassen, R. D., & Vachon, S. (2009). Collaboration and evaluation in the supply chain: The impact on plant-level environmental investment. Production and Operations Management, 12(3), 336-352. https://doi.org/10.1111/j.1937-5956.2003.tb00207.x google scholar Knotts, T. L., Jones, S. C., & Udell, G. G. (2006). Using a “balanced approach” to measure merchandising supplier performance. Measuring Business Excellence, 10(1), 4-13. https://doi.org/10.1108/13683040610652177 google scholar Kumar, S., C. Clemens, A., & W. Keller, E. (2014). Supplier management in a manufacturing environment. International Journal of Productivity and Performance Management, 63(1), 127-138. https://doi.org/10.1108/UPPM-12-2012-0137 google scholar
  57. Liang, Y.-H. (2015). Performance measurement of interorganizational information systems in the supply chain. International Journal of Production Research, 53(18), 5484-5499. https://doi.org/10.1080/00207543.2015.1026614 google scholar
  58. Lin, F., Qin, X., Pu, X., Zhu, W., & Zhuo, X. (2021). Effects of in-house production on channel structures in a co-opetitive supply chain under supply uncertainty. Omega, 103, 102426. https://doi.org/10.1016/j.omega.2021.102426 google scholar
  59. Lin, Y., Tseng, M.-L., Chiu, A. S. F., & Wang, R. (2014). Implementation and performance evaluation of a firm’s green supply chain management under uncertainty. Industrial Engineering and Management Systems, 13(1), 15-28. https://doi.org/10.7232/iems.2014.13.1.015 google scholar
  60. Liu, W., Long, S., Wei, S., Xie, D., Wang, J., & Liu, X. (2022). Smart logistics ecological cooperation with data sharing and platform empowerment: An examination with evolutionary game model. International Journal of Production Research, 60(13), 4295-4315. https://doi.org/10.1080/00207543.2021.1925173 google scholar
  61. Lo, H.-W., Liaw, C.-F., Gul, M., & Lin, K.-Y. (2021). Sustainable supplier evaluation and transportation planning in multi-level sup-ply chain networks using multi-attribute- and multi-objective decision making. Computers & Industrial Engineering, 162, 107756. https://doi.org/10.1016/j.cie.2021.107756 google scholar
  62. Lu, M., Huang, S., & Shen, Z.-J. M. (2011). Product substitution and dual sourcing under random supply failures. Transportation Research Part B: Methodological, 45(8), 1251-1265. https://doi.org/10.1016/j.trb.2010.09.005 google scholar
  63. Matthess, M., Kunkel, S., Xue, B., & Beier, G. (2022). Supplier sustainability assessment in the age of Industry 4.0 - insights from the electronics industry. Cleaner Logistics and Supply Chain, 4, 100038. https://doi.org/10.1016/j.clscn.2022.100038 google scholar
  64. More, D., & Babu, A. S. (2012). Strategic approach to manage supply chain flexibility: A proposal. International Journal of Logistics Systems and Management, 11(4), 492-521. https://doi.org/10.1504/ULSM.2012.046703 google scholar
  65. Nazari-Ghanbarloo, V. (2022). A dynamic performance measurement system for supply chain management. International Journal of Productivity and Performance Management, 71 (2), 576-597. https://doi.org/10.1108/IJPPM-01-2020-0023 google scholar
  66. Nûnez-Merino, M., Maqueira-Marin, J. M., Moyano-Fuentes, J., & Martmez-Jurado, P. J. (2020). Information and digital technologies oflndustry 4.0 and Lean supply chain management: A systematic literature review. International Journal of Production Research, 58(16), 5034-5061. https://doi.org/10.1080/00207543.2020.1743896 google scholar
  67. Pandey, I. M. (2005). Balanced scorecard: Myth and reality. Vikalpa: The Journal for Decision Makers, 30(1), 51-66. https://doi.org/10.1177/0256090920050105 google scholar
  68. Rahimnia, F., Keyvanipoor, S., & Moghadasian, M. (2014). Analysis of BSC perspectives as related to the alignment of environmental uncertainty and supply chain strategy. Benchmarking: An International Journal, 21(6), 903-916. https://doi.org/10.1108/BJ-11-2012-0075 google scholar
  69. Reefke, H., & Trocchi, M. (2013). Balanced scorecard for sustainable supply chains: Design and development guidelines. International Journal of Productivity and Performance Management, 62(8), 805-826. https://doi.org/10.1108/JPPM-02-2013-0029 google scholar
  70. Reuter, C., Foerstl, K., Hartmann, E., & Blome, C. (2010). Sustainable global supplier management: the role of dynamic capabilities in achieving competitive advantage. Journal of Supply Chain Management, 46(2), 45-63. https://doi.org/10.1111/j.1745-493X.2010.03189.x google scholar
  71. Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57. https://doi.org/10.1016/j.omega.2014.11.009 google scholar
  72. Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130. https://doi.org/10.1016/j.omega.2015.12.001 google scholar
  73. Saidy, C., Pinna, C., Wilson, Z., Panavas, L., Harik, R., & Bayoumi, A. M. (2018). Literature review of current practices of supplier’s assessment and valuation of decisions regarding underperforming suppliers. International Journal of Product Lifecycle Management, 11(3), 245-267. https://doi.org/10.1504/JPLM.2018.094719 google scholar
  74. Saleheen, F., & Habib, Md. M. (2023). Embedding attributes towards the supply chain performance measurement. Cleaner Logistics and Supply Chain, 6, 100090. https://doi.org/10.1016/j.clscn.2022.100090 google scholar
  75. Saroha, M., Garg, D., & Luthra, S. (2022). Analyzing the circular supply chain management performance measurement framework: The modified balanced scorecard technique. International Journal of System Assurance Engineering and Management, 13(S2), 951-960. https://doi.org/10.1007/s13198-021-01482-4 google scholar
  76. Schiffling, S., & Piecyk, M. (2014). Performance measurement in humanitarian logistics: A customer-oriented approach. Journal of Humanitarian Logistics and Supply Chain Management, 4(2), 198-221. https://doi.org/10.1108/JHLSCM-08-2013-0027 google scholar
  77. Schloetzer, J. D. (2012). Process integration and information sharing in supply chains. The Accounting Review, 87(3), 1005-1032. https://doi.org/10.2308/accr-10216 google scholar
  78. Sharma, M. K., & Bhagwat, R. (2007). An integrated BSC-AHP approach for supply chain management evaluation. Measuring Business Excellence, 11(3), 57-68. https://doi.org/10.1108/13683040710820755 google scholar
  79. Shinkevich, A. I., Shaimieva, E. S., Nurgaliev, R. K., & Gumerova, G. I. (2021). The modeling of operating activities of petrochemical and fuel and energy enterprises in industry 4.0. 27(4), 1-11. google scholar
  80. Sillanpââ, I., Shahzad, K., & Sillanpââ, E. (2015). Supplier development and buyer-supplier relationship strategies - a literatüre review. International Journal of Procurement Management, 8(1/2), 227-250. https://doi.org/10.1504/JPM.2015.066283 google scholar
  81. Silva, P. M., Gonçalves, J. N. C., Martins, T. M., Marques, L. C., Oliveira, M., Reis, M. I., Araûjo, L., Correia, D., Telhada, J., Costa, L., & Fernandes, J. M. (2022). A hybrid bi-objective optimization approach for joint determination of safety stock and safety time buffers in multi-item single-stage industrial supply chains. Computers & Industrial Engineering, 168, 108095. https://doi.org/10.1016/j.cie.2022.108095 google scholar
  82. Simic, D., Kovacevic, I., Svircevic, V., & Simic, S. (2017). 50 years of fuzzy set theory and models for supplier assessment and selection: A literature review. Journal of Applied Logic, 24, 85-96. https://doi.org/10.1016/j.jal.2016.11.016 google scholar
  83. Sislian, L., & Jaegler, A. (2018). A sustainable maritime balanced scorecard applied to the Egyptian Port of Alexandria. Supply Chain Forum: An International Journal, 19(2), 101-110). https://doi.org/10.1080/16258312.2018.1481716 google scholar
  84. Şişman, T., Kiriş, S. B., & Yilmaz, D. (2022). Sustainable supplier evaluation in an automotive company using fuzzy multi-criteria decision-making methods. International Journal of Information Technology & Decision Making, 1-47. https://doi.org/10.1142/S0219622022500833 google scholar
  85. Sperber, W. H. (1998). Auditing and verification of food safety and HACCP. Food Control, 9(2-3), 157-162. https://doi.org/10.1016/S0956-7135(97)00068-6 google scholar
  86. Sundtoft Hald, K., & Ellegaard, C. (2011). Supplier evaluation processes: the shaping and reshaping of supplier performance. International Journal of Operations & Production Management, 31(8), 888-910. https://doi.org/10.1108/01443571111153085 google scholar
  87. Susanty, A., Bakhtiar, A., Puspitasari, N. B., & Mustika, D. (2018). Performance analysis and strategic planning of dairy supply chain in Indonesia. International Journal of Productivity and Performance Management, 67(9), 1435-1462. https://doi.org/10.1108/JPPM-10-2017-0250 google scholar
  88. Taifa, I. W. R., Hayes, S. G., & Stalker, I. D. (2020). Development of the critical success decision criteria for an equitable order sharing in an extended enterprise. The TQM Journal, 32(6), 1715-1742. https://doi.org/10.1108/TQM-05-2019-0138 google scholar
  89. Thanki, S., & Thakkar, J. (2018). A quantitative framework for lean and green assessment of supply chain performance. International Journal of Productivity and Performance Management, 67(2), 366-400. https://doi.org/10.1108/JPPM-09-2016-0215 google scholar
  90. Tolooie, M., Alvandi, M., & Arani, M. S. (2022). Sustainable supplier evaluation and selection in developing countries: An integrated fuzzy framework. International Journal of Integrated Supply Management, 15(2), 151-183. https://doi.org/10.1504/JISM.2022.121952 google scholar
  91. Trade Map - List of exporters for the selected product: 8415 air conditioning machines comprising a motor-driven fan and elements for changing the temperature and humidity, incl. Those machines in which the hu-midity cannot be separately regulated; parts thereof. (2023). ITC Trade Map. Retrieved May 17, 2023, from https://www.trademap.org/Country_SelProduct_TS.aspx?nvpm=1%7c%7c%7c%7c%7c8415%7c%7c%7c4%7c1%7c1%7c2%7c2%7c1%7c2%7c1%7 google scholar
  92. Varma, S., Wadhwa, S., & Deshmukh, S. G. (2008). Evaluating petroleum supply chain performance. Asia Pacific Journal of Marketing and Logistics, 20(3), 343-356. https://doi.org/10.1108/13555850810890093 google scholar
  93. Vörösmarty, G., & Dobos, I. (2020). A literature review of sustainable supplier evaluation with Data Envelopment Analysis. Journal of Cleaner Production, 264, 121672. https://doi.org/10.1016/j.jclepro.2020.121672 google scholar
  94. Yin, Z., & Wang, C. (2018). Strategic cooperation with a backup supplier for the mitigation of supply disruptions. International Journal of Production Research, 56(12), 4300-4312. https://doi.org/10.1080/00207543.2017.1410246 google scholar
  95. Yu, V. F., Qiu, M., & Gupta, J. N. D. (2022). Improving supplier capability through training: Evidence from the Chinese Automobile Industry. Computers & Industrial Engineering, 163, 107825. https://doi.org/10.1016/j.cie.2021.107825 google scholar
  96. Zhang, L.-J., Liu, R., Liu, H.-C., & Shi, H. (2020). Green supplier evaluation and selections: A state-of-the-art literature review of models, methods, and applications. Mathematical Problems in Engineering, 2020, 1-25. https://doi.org/10.1155/2020/1783421 google scholar
  97. Zheng, M., Li, Y., Su, Z., Fan, Y. Van, Jiang, P., Varbanov, P S., & Klemes, J. J. (2022). Supplier evaluation and management considering greener production in manufacturing industry. Journal of Cleaner Production, 342, 130964. https://doi.org/10.1016/j.jclepro.2022.130964 google scholar
  98. Dhiaf, M. M., Benabdelhafid, A., & Jaoua, F. (2012). Supply chain flexibility and balanced scorecard: Conceptual model and empirical study in Tunisian companies launched upgrading program. Polish Journal of Management Studies, 5(1), 34-58. google scholar