Ayough, A., Boshruei, S., & Khorshidvand, B. (2022). A new interactive method based on multi-criteria preference degree functions for solar power plant site selection. Renewable Energy, 195, 1165-1173.
Ayough, A., Shargh, S. B., & Khorshidvand, B. (2023). A new integrated approach based on base-criterion and utility additive methods and its application to supplier selection problem. Expert Systems with Applications, 221, 119740.
Afum, E., Agyabeng-Mensah, Y., Acquah, I.S.K., Baah, C., Dacosta, E., Owusu, C.S. and Amponsah Owusu, J. (2021), "Examining the links between logistics outsourcing, company competitiveness and selected performances: the evidence from an emerging country", The International Journal of Logistics Management, 32 (3), 1068-1090.
https://doi.org/10.1108/IJLM-05-2020-0205
Amiri, M. & Emamat, M. (2020). A Goal Programing Model for BWM. INFORMATICA, 2020, 31(1), 21-34. https://doi.org/10.15388/20-INFOR389
Chejarla, K. C., Vaidya, O. S., & Kumar, S. (2022). MCDM applications in logistics performance evaluation: A literature review.
Journal of Multi-Criteria Decision Analysis, 29(3-4), 274–297.
https://doi.org/10.1002/mcda.1774
Delshad, M. M., Chobar, A. P., Ghasemi, P., & Jafari, D. (2024). Efficient Humanitarian Logistics: Multi-Commodity Location–Inventory Model Incorporating Demand Probability and Consumption Coefficients. Logistics, 8(1), 9.
Dovbischuk, I. (2022), "Innovation-oriented dynamic capabilities of logistics service providers, dynamic resilience and firm performance during the COVID-19 pandemic", The International Journal of Logistics Management, 33(2), 499-519. https://doi.org/10.1108/IJLM-01-2021-0059
Ecer, F. (2018). Third-party logistics (3Pls) provider selection via Fuzzy AHP and EDAS integrated model. Technological and Economic Development of Economy, 24(2), 615–634. https://doi.org/10.3846/20294913.2016.1213207
Eriskin L. (2021). Preference modelling in sorting problems: Multiple criteria decision aid and statistical learning perspectives.
Journal of Multi-Criteria Decision Analysis. 28(4), 1–17.
https://doi.org/10.1002/mcda.1737
Goswami, M., De, A., Habibi, M.K.K., Daultani, Y., 2020. Examining freight performance of third-party logistics providers within the automotive industry in India: an environmental sustainability perspective.
Int. J. Prod. Res. 58 (24), 7565–7592.
https://doi.org/10.1080/00207543.2020.1756504
Hua, S., Sun, S., Liu, Z., Zhai, X. (2021). Benefits of third-party logistics firms as financing providers.
Eur. J. Oper. Res. 294 (1), 174–187.
https://doi.org/10.1016/j.ejor.2021.01.024
Amini Khouzani, M., Sadeghi, A., Daneshvar, A., & Pourghader Chobar, A. (2023). Fuzzy modeling of allocation of financial resources of sustainable projects and Solving with GSSA algorithm. Journal of Industrial Engineering International, 19(1), 82-92.
Keshavarz Ghorabaee, M.; Amiri, M.; Zavadskas, E.K.; Turskis, Z.; Antucheviciene, J. (2017). A new hybrid simulation-based assignment approach for evaluating airlines with multiple service quality criteria.
Journal of Air Transport Management 2017, 63, 45-60.
https://doi.org/10.1016/j.jairtraman.2017.05.008
Keshavarz-Ghorabaee, M., Zavadskas, E. Olfat, L.& Turskis, Z., (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). INFORMATICA, 26(3),435-451. http://dx.doi.org/10.15388/Informatica.2015.57
Laganà, I. R., & Colapinto, C. (2022). Multiple criteria decision-making in healthcare and pharmaceutical supply chain management: A state-of-the-art review and implications for future research.
Journal of Multi-Criteria Decision Analysis, 29(1-2), 122–134.
https://doi.org/10.1002/mcda.1778
Luyen, L.A.; Thanh, N.V. (2022). Logistics Service Provider Evaluation and Selection: Hybrid SERVQUAL– FAHP–TOPSIS Model. Processes, 10, 1024. https://doi.org/10.3390/pr10051024
Pal Singh, S., Adhikari, A., Majumdar, A., & Bisi, A. (2022). Does service quality influence operational and financial performance of third-party logistics service providers? A mixed multi criteria decision making -text mining-based investigation.
Transportation Research Part E: Logistics and Transportation Review, 157, 102558.
https://doi.org/10.1016/J.TRE.2021.102558
Pan, H., Bayanati, M., Vaseei, M., & Chobar, A. P. (2023). Empowering solar photovoltaic logistic operations through cloud-enabled blockchain technology: a sustainable approach. Frontiers in Energy Research, 11, 1293449.
Pourghader Chobar, A., Sabk Ara, M., Moradi Pirbalouti, S., Khadem, M., & Bahrami, S. (2022). A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm. Journal of Applied Research on Industrial Engineering, 9(3), 354-373.
Pamucar, D., Chatterjee, K., & Zavadskas, E. K. (2019). Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers. Computers & Industrial Engineering, 127, 383–407. https://doi.org/10.1016/J.CIE.2018.10.023
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57. http://dx.doi.org/10.1016/j.omega.2014.11.009
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
Sahebi, D. Improving competitive advantage in 3PL companies in Iran. (2022) Doctoral thesis. University of Vaasa School of Technology and Management Industrial Management. 33-39.
Ulutaş, A., & Topal, A. (2021). A new hybrid model based on rough step-wise weight assessment ratio analysis for third-party logistics selection. Soft Computing 2021, 26(4), 2021–2032. https://doi.org/10.1007/S00500-021-06374-0
Yalcin, A. S., Kilic, H. S., & Delen, D. (2022). The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review.
Technological Forecasting and Social Change, 174, 121193.
https://doi.org/10.1016/J.TECHFORE.2021.121193
