Ajalli, M., Saberifard, N., Zinati, B. (2021). Evaluation and Ranking the Resilient Suppliers with the Combination of Decision Making Techniques, Management and Production Engineering Review, Volume 12, Number 3, September, pp. 129–140, DOI: 10.24425/mper.2021.137685.
Ajalli, M., Zinati, B., Saberifard, N. (2022). Ranking of Lean Suppliers with Additive Ratio Assessment Technique (Case Study: Automotive). Logistics Thought, doi:
10.22034/lot.2022.1266439.1171. (Online). [in Persian].
Antony, J., Sreedharan, R., Chakraborty, A., Gunasekaran, A. (2019). A systematic review of lean in healthcare: a global prospective. Int J Qual Reliab Manag, International Journal of Quality &Reliability Management,
Asgarnejad Nouri, B., Saebunia S., Fooladi, E.(2020). The effect of lean and agile supply chain strategies on supply chain accountability and company performance with the mediating role of procrastination and strategic participation of suppliers (Case study: Automotive industry), Industrial Management Perspective, Year 10, No. 39, pp. 89-65. [in Persian].
Blanchard, D.(2021). Supply chain management best practices(p.3), Canada: Published by John Wiley & Sons.
Bouzon, M., Govindan, K., Rodriguez, C. M. T., & Campos, L. M. S.(2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, Conservation and Recycling, 108, 182–197.
Ciccullo, F., Pero, M., Caridi, M., Gosling, J., Purvis, L.(2018). Integrating the environmental and social sustainability pillars into the lean and agile supply chain management paradigms: a literature review and future research directions. J. Clean. Prod. 172, 2336–2350.
https://doi.org/10.1016/j.jclepro.2017.11.176.
Darvazeh, S.S., Mooseloo, F.M., Vandchali, H.R. et al.(2022) An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains. Environ Sci Pollut Res .
https://doi.org/10.1007/s11356-022-20214-0.
Damien J. Power Amrik S. Sohal Shams.,Ur. R. (2001)."Critical success factors in agile supply chain management - An empirical study", International Journal of Physical Distribution & Logistics Management,Vol. 31 Iss 4 pp. 247 – 265, http://dx.doi.org/10.1108/09600030110394923.
Dastyar, H., Mohammadi, A., & Ali Mohamadlou, M. (2018). Designing a Model for Supply Chain Agility (SCA) Indexes Using Interpretive Structural Modeling (ISM). In International Conference on Dynamics in Logistics (pp. 58-66). Springer, Cham. [in Persian].
Dubey, R., Altay, N., Gunasekaran, A., Blome, C., Papadopoulos, T., & Childe, S. J.(2018).Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry. International Journal of Operations & Production Management,38(1), 129-148.
Ebrahimi, H., Ebrahimpour Azbari, M., Moradi, M.(2020). Modeling the evaluation of the impact of lean-agile activities on company performance using scenario analysis based on Bayesian belief network, Industrial Technology Development Quarterly, No. 41, p. 27 -42. [in Persian].
Eko Saputro,T., Figueira,G., Almada-Lobo., B.(2022), A comprehensive framework and literature review of supplier selection under different purchasing strategies, Computers & Industrial Engineering, Volume 167.
Fadaki, M., Rahman, Sh., Chan, C.(2019), “Leagile supply chain: design drivers and business performance implications”, International Journal of Production Research, Vol. 58, Issue 18, pp. 5601-5623.
Hashemzahi, P., Azadnia, A., Galankashi, M. R., Helmi, S. A., & Rafiei, F. M. (2020). Green supplier selection and order allocation: a nonlinear stochastic model. International Journal of Value Chain Management, 11(2), 111-138.https://doi. org/10.1108/IJLSS-06-2019-0069.
Hassani, Y., Ceauşu, I., Iordache, A. (2020). Lean and Agile model implementation for managing the supply chain. Proceedings of the International Conference on Business Excellence. 14. 847-858. 10.2478/picbe-2020-0081.
Homayounfar, M., Amirteimoori, A. (2019). Balanced evaluation of suppliers performance by applying a hybrid DEMATEL-DEA approach in presence of undesirable factors. Journal of New Researches in Mathematics, 5(18), 31-48. [in Persian].
Homayounfar, M., Goudarzvand chegini, M., Daneshvar, A.(2018). Prioritization of Green Supply Chain Suppliers Using a hybrid Fuzzy Multi-Criteria Decision Making approach. jorY 15 (2) :41-61. URL: http://jamlu.liau.ac.ir/article-1-1544-fa.html. [in Persian].
Jakhar, S. K., Rathore, H., & Mangla, S. K. (2018). Is lean synergistic with sustainable supply chain? An empirical investigation from emerging economy. Resources, Conservation and Recycling, 139 (August), 262–269.
Kaviani, M. A., Karbassi Yazdi, A., Ocampo, L., Kusi-Sarpong, S.(2019). An integrated grey-based multi-criteria decision-making approach for supplier evaluation and selection in the oil and gas industry, Kybernetes, https://doi.org/10.1108/K-05-2018-0265, Permanent link to this document:
https://doi.org/10.1108/K-05-2018-0265.
Khoshalhan, F., Sayari, H., Kalantari, T. (2020). A Model of fuzzy cognitive maps of the lean - agile Maritime supply chain. Journal of Marine Science and Technology, 19(1), 80-95. doi: 10.22113/jmst.2017.72353.1951. [in Persian].
Kumar Yadav, D & Kumar Yadav, P.(2019). A Review of Green Supply Chain Management International Journal of Scientific Research & Engineering Trends Volume 5,Issue 2, Mar-Apr-2019, ISSN (Online): 2395-566X.
Li, Y., Diabat, A., & Lu, C. C. (2020). Leagile supplier selection in Chinese textile industries: a DEMATEL approach. Annals of Operations Research, 287(1), 303-322.
Mathiyazhagan, K., Agarwal, V., Appolloni, A., Saikouk, T., Gnanavelbabu, A(2021), Integrating lean and agile practices for achieving global sustainability goals in Indian manufacturing industries, Technological Forecasting & Social Change 171 (2021) 120982,
https://doi.org/10.1016/j.techfore.2021.120982.
Mohamadi, D., Zolfani, S., Prentkovskis, O. (2019). L A R G supplier selection based on integrating house of quality Taguchi loss function and M O P A. Ekonomska Istraživanja / Economic Research. 32. 1944-1964. 10.1080/1331677X.2019.1635036.
Mohammed, A., Harris, I., Soroka, A., Mohamed, N and Ramjaun, T. (2018). Evaluating Green and Resilient Supplier Performance: AHP-Fuzzy Topsis Decision-Making Approach, ICORES 2018 - 7th International Conference on Operations Research and Enterprise Systems.
Mohammed, A., Wang, Q., Li, X. (2017). Developing a meat supply chain network design using a multiobjective possibilistic programming approach. British Food Journal, 119, 3, 690-706.
Nawanir, G., Lim, KT., Lee, KL., Moshood, TD., Ahmad, ANA . (2020). Less for more: the structural effects of lean manufacturing practices on sustainability of manufacturing SMES in Malaysia. Int J Supply Chain Manag 2(2):961–975.
Rahimi, A. and Alemtabriz, A. (2022), "Providing a model of LeAgile hybrid paradigm practices and its impact on supply chain performance", International Journal of Lean Six Sigma, Vol. ahead-of-print No. ahead-of-print.
https://doi.org/10.1108/IJLSS-04-2021-0073.
Rahiminezhad Galankashi, M., Bastani, Z., Hisjam, M.(2021). Supplier Selection: A Lean-Agile (Leagile)Approach, Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management Singapore, March 7-11, 2021.
Sayuti,NM.(2011). Critical determinants of agile supply chain in buyer and supplier relationship: A literature review and future direction, International Journal Of Business And Management StudiesVol 3, No 1.
Sharma, V., D. Raut,R., Kumar Mangla,S., E. Narkhede, B., Luthra, S., Gokhale, R. (2020). A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management, Business Strategy and the Environment;30:1191–1212.
Sharma, V., D.Raut, R., Kumar Mangla.S., E. Narkhede,B., Luthra, S.,Gokhale,R. (2021). A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management. Bus Strateg Environ 30(2):1191–1212.
https://doi.org/10.1002/bse.2679.
Sun,W.(2021). E-commerce Supplier Evaluation Model Based on Particle Swarm Optimization Neural Network and Its Application, IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA).
Swink, M., A. Melnyk, S., L. Hartley, J.(2020). Managing Operations Across the Supply Chain, Published by McGraw-Hill Education, 2 Penn Plaza, New York, NY 10121. Copyright © 2020 by McGraw-Hill Education.
Tavana,M., Shaabani,A., Di Caprio,D., Bonyani,A.(2021). An integrated group fuzzy best-worst method and combined compromise solution with Bonferroni functions for supplier selection in reverse supply chains. Cleaner Logistics and Supply Chain, Volume 2,
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.
Virmani, N., Saha, R., Sahai, R. (2017). Evaluating key performance indicators of leagile manufacturing using fuzzy TISM approach, International Journal of System Assurance Engineering and Management volume 9, pages 427–439.
https://doi.org/10.1007/s13198-017-0687-4.
Wang, Y. M., Chin, K.S., Poon, G. K. K., & Yang, J. B. (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications, 36(2), 1195–1207.
Yücenur,G.N., Şenol,K(2021), Sequential SWARA and fuzzy VIKOR methods in elimination of waste and creation of lean construction processes, Journal of Building Engineering, Volume 44,
https://doi.org/10.1016/j.jobe.2021.103196.