Investigation and Assessment the Level of Adoption Lean Philosophy in SMES Under Uncertainty by EFA/FAHP/FTOPSIS Integrated Model

[1] S. Saini and D. Singh, “Investigating the perceptions of Lean manufacturing practices in Northern India SMEs: an empirical study,” Ind. Eng. J., vol. 13, no. 3, 2020, doi: 10.26488/iej.13.3.1218. Search in Google Scholar

[2] A. Alkhoraif, H. Rashid, and P. McLaughlin, “Lean implementation in small and medium enterprises: Literature review,” Oper. Res. Perspect., vol. 6, no. December, p. 100089, 2019, doi: 10.1016/j.orp.2018.100089. Search in Google Scholar

[3] A. Belhadi, Y.B.M. Sha’ri, F.E. Touriki, and S. El Fezazi, “Lean production in SMEs: literature review and reflection on future challenges,” J. Ind. Prod. Eng., vol. 35, no. 6, pp. 368-382, 2018, doi: 10.1080/21681015.2018.1508081. Search in Google Scholar

[4] P.D. Candidate and M. Bayraktar, “The Importance of SMEs on World Economies,” vol. 500, pp. 56-61, 2019. Search in Google Scholar

[5] L.A.H. Al-Kindi, “Sustainability for Heavy Engineering Equipment Industries Using Lean Concepts,” Eng. Technol. J., vol. 34, no. 4, pp. 739-753, 2016, doi: 10.30684/etj.2016.112935. Search in Google Scholar

[6] A. Sabah, L. Al-Kindi, and Z. Al-Baldawi, “Adopting Value Stream Mapping as a Lean Tool to Improve Production Performance,” Eng. Technol. J., vol. 41, no. 6, pp. 1-14, 2023, doi: 10.30684/etj.2023.136269.1307. Search in Google Scholar

[7] S. Ghushe and S. Deshmukh, “Study: Implementation of Lean Manufacturing Tools on a Coir Product Manufacturing Industry,” vol. 5, no. 2, pp. 60-65, 2017. Search in Google Scholar

[8] S. Saini and D. Singh, “Investigating the perceptions of Lean manufacturing practices in Northern India SMEs: an empirical study,” Ind. Eng. J., vol. 13, no. 3, 2020, doi: 10.26488/iej.13.3.1218. Search in Google Scholar

[9] Z. Al-baldawi, A.E.H. Kassam, and S.S.A. Al-zubaidi, “Assessment of the Interrelationship and the Influence Degree of Lean Dimensions Based on Fuzzy DEMATEL,” vol. 17, no. 4, pp. 215-226, 2023. Search in Google Scholar

[10] A.N.M. Rose, B.M. Deros, and M.N.A. Rahman, “Lean manufacturing perceptions and actual practice among malaysian SME’s in automotive industry,” Int. J. Automot. Mech. Eng., vol. 7, no. 1, pp. 820-829, 2013, doi: 10.15282/ijame.7.2012.2.0067. Search in Google Scholar

[11] N. Shrestha, “Factor Analysis as a Tool for Survey Analysis,” Am. J. Appl. Math. Stat., vol. 9, no. 1, pp. 4-11, 2021, doi: 10.12691/ajams-9-1-2. Search in Google Scholar

[12] A.G. Yong and S. Pearce, “A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis,” Tutor. Quant. Methods Psychol., vol. 9, no. 2, pp. 79-94, 2013, doi: 10.20982/tqmp.09.2.p079. Search in Google Scholar

[13] Y.S.M.F. Jugessur, “Reliability and Internal Consistency of data : Significance of Calculating Cronbach’s Alpha Coefficient in Educational Research,” Int. J. Humanit. Soc. Sci. Invent., vol. 11, no. 4, pp. 9-14, 2022, doi: 10.35629/7722-1104030914. Search in Google Scholar

[14] R. Kumar, K. Singh, and S.K. Jain, “An evaluation of agile manufacturing initiatives in the Indian manufacturing industry,” Int. J. Qual. Reliab. Manag., vol. 37, no. 1, pp. 156-187, 2020, doi: 10.1108/IJQRM-12-2018-0353. Search in Google Scholar

[15] G.S. Jagdeep Singh, Harwinder Singh, “Productivity Improvement using lean manufacturing within manufacturing Industry of Northern India A Case Study,” Int. J. Product. Perform. Manag., 2018. Search in Google Scholar

[16] S. Saini, “Impact of implementing lean practices on fi rm performance: a study of Northern India SMEs,” 2019, doi: 10.1108/IJLSS-06-2019-0069. Search in Google Scholar

[17] S. Jain and V. Angural, “Use of Cronbach’s alpha in Dental Research,” Jain S. Angural V., Med. Res. Chron, vol. 4, no. 3, pp. 285-291, 2017. Search in Google Scholar

[18] L.S. Reddy and P. Kulshrestha, “Performing the KMO and Bartlett’s Test for Factors Estimating the Warehouse Efficiency, Inventory and Customer Contentment for E-retail Supply Chain,” Int. J. Res. Eng. Appl. Manag., vol. 5, no. 9, pp. 2454-9150, 2019. Search in Google Scholar

[19] S. Phogat and A.K. Gupta, “Evaluating the elements of just in time (JIT) for implementation in maintenance by exploratory and confirmatory factor analysis,” Int. J. Qual. Reliab. Manag., vol. 36, no. 1, pp. 7-24, 2019, doi: 10.1108/IJQRM-12-2017-0279. Search in Google Scholar

[20] E.U. Olugu and K.Y. Wong, “Validation of green supply chain performance measures in the automotive industry,” in Innovation and Knowledge Management: A Global Competitive Advantage – Proceedings of the 16th International Business Information Management Association Conference, IBIMA 2011, 2011, vol. 1, pp. 1-14, doi: 10.5171/2011.911153. Search in Google Scholar

[21] V. Jain and T. Raj, “Evaluating the variables affecting flexibility in FMS by exploratory and confirmatory factor analysis,” Glob. J. Flex. Syst. Manag., vol. 14, no. 4, pp. 181-193, 2013, doi: 10.1007/s40171-013-0042-9. Search in Google Scholar

[22] R.S. Mor, A. Bhardwaj, S. Singh, and V.K. Arora, “Exploring the factors affecting supply chain performance in dairy industry using exploratory factor analysis technique,” Int. J. Ind. Syst. Eng., vol. 36, no. 2, pp. 248-265, 2020, doi: 10.1504/IJISE.2020.110277. Search in Google Scholar

[23] M. Ahmadi, M.H. Mohd Osman, and M.M. Aghdam, “Integrated exploratory factor analysis and Data Envelopment Analysis to evaluate balanced ambidexterity fostering innovation in manufacturing SMEs,” Asia Pacific Manag. Rev., vol. 25, no. 3, pp. 142-155, 2020, doi: 10.1016/j.apmrv.2020.06.003. Search in Google Scholar

[24] D. Iskamto et al., “The exploratory factor analysis on firms performance of micro and small enterprises in Indonesia,” in Proceedings of the International Conference on Industrial Engineering and Operations Management, 2021, no. March, pp. 3780-3787. Search in Google Scholar

[25] H. Sun, B. Zhang, and W. Ni, “A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection,” Mathematics, vol. 10, no. 19, pp. 1-19, 2022, doi: 10.3390/math10193505. Search in Google Scholar

[26] A. Nawaz Wassan, M.S. Memon, S.I. Mari, and M.A. Kalwar, “Identifying the critical success practices of sustainability and their implementation in the manufacturing sector of Pakistan: an exploratory factor analysis,” J. Appl. Res. Technol. Eng., vol. 4, no. 1, pp. 37-53, 2023, doi: 10.4995/jarte.2023.18623. Search in Google Scholar

[27] Y. Liu, C.M. Eckert, and C. Earl, A review of fuzzy AHP methods for decision-making with subjective judgements, vol. 161. 2020. Search in Google Scholar

[28] A. Ishak and Wanli, “Analysis of Fuzzy AHP-TOPSIS Methods in Multi Criteria Decision Making: Literature Review,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1003, no. 1, pp. 0-10, 2020, doi: 10.1088/1757-899X/1003/1/012147 Search in Google Scholar

[29] L.A.H. Al-Kindi and Z. Al-Baldawi, “Green packaging for durable engineering products in Iraqi markets,” in IOP Conference Series: Earth and Environmental Science, 2021, vol. 779, no. 1, doi: 10.1088/1755-1315/779/1/012004. Search in Google Scholar

[30] F. Analysis, H. Process, and C.S. Factors, “Application of Fuzzy AHP for Ranking Critical Success Factors for the Successful Implementation of Lean Production Technique,” Aust. J. Basic Appl. Sci., vol. 8, no. 18, pp. 399-407, 2014. Search in Google Scholar

[31] F. Torfi, R.Z. Farahani, and S. Rezapour, “Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives,” Appl. Soft Comput. J., vol. 10, no. 2, pp. 520-528, 2010, doi: 10.1016/j.asoc.2009.08.021. Search in Google Scholar

[32] K. Arif-uz-zaman, “A Fuzzy TOPSIS Based Multi Criteria Performance Measurement Model for Lean Supply Chain,” 2012. Search in Google Scholar

[33] R.J. Thaney, Measurment of Supply Chain Performance Based on Fuzzy Safty Stock, vol. 35, no. 8. 2018. Search in Google Scholar

[34] W. Scientific, “Defuzzification within a multicriteria decision model,” vol. 11, no. 5, pp. 635-652, 2003. Search in Google Scholar

[35] C.-Y. L. & Y.-H. H. Cathay Kuo-Tai Kang, “Key Factors to Increasing Free Cash Flow for Manufacturers Utilizing Lean Production: An AHP-DEMATEL Approach,” Inf. Manag. Bus. Rev., vol. 14, no. 2, pp. 28-45, 2022. Search in Google Scholar

[36] M.B. Kumar, R. Parameshwaran, J. Antony, and E. Cudney, “Framework for Lean Implementation Through Fuzzy AHP-COPRAS Integrated Approach,” IEEE Trans. Eng. Manag., 2021, doi: 10.1109/TEM.2021.3089691. Search in Google Scholar

[37] W.P. Bueno, G.B. Benitez, E.D.S. Fernandes, and L.P. Godoy, “Fuzzy in Lean To Evaluate the Decision Degree,” Rev. Gestão e Desenvolv., vol. 17, no. 1, p. 4, 2020, doi: 10.25112/rgd.v17i1.1696. Search in Google Scholar

[38] S.N. Sathiya Narayana, P. Parthiban, Anbuchezhian, and R. Dhanalakshmi, “Assessment and implementation of lean and green supply chain in medium scale automobile industries using AHP and Fuzzy TOPSIS,” J. Sci. Ind. Res. (India)., vol. 79, no. 8, pp. 720-726, 2020. Search in Google Scholar

[39] I. Alhuraish, C. Robledo, A. Kobi, and L. Azzabi, “Analytic hierarchy process used to estimate the performance of companies that implement lean manufacturing and Six Sigma,” Int. J. Six Sigma Compet. Advant., vol. 10, no. 3-4, pp. 179-200, 2017, doi: 10.1504/IJSSCA.2017.086574. Search in Google Scholar

[40] A. Susilawati, “Development of a FAHP Algorithm Based Performance Measurement System for Lean Manufacturing Company,” KnE Eng., vol. 1, no. 2015, pp. 1-7, 2016, doi: 10.18502/keg.v1i1.527. Search in Google Scholar

[41] M.M. Ravikumar, K. Marimuthu, and P. Parthiban, “Evaluating lean implementation performance in Indian MSMEs using ISM and AHP models,” Int. J. Serv. Oper. Manag., vol. 22, no. 1, pp. 21-39, 2015, doi: 10.1504/IJSOM.2015.070881. Search in Google Scholar

[42] N. Senthilkannan and R. Parameshwaran, “Performance analysis and quality improvement using fuzzy MCDM and lean tools in a paper industry,” Int. J. Integr. Supply Manag., vol. 12, no. 3, pp. 205-229, 2019, doi: 10.1504/IJISM.2019.099715. Search in Google Scholar

[43] Y. Li and P. Yuan, “Evaluation of Enterprise Lean Level Based on Fuzzy Multiple Subjective and Objective Weights,” Open J. Bus. Manag., vol. 10, no. 3, pp. 1290-1309, 2022, doi: 10.4236/ojbm.2022.103070. Search in Google Scholar

[44] A. Devnath, M.S. Islam, S. Rashid, and ..., “An integrated QFD-TOPSIS method for prioritization of major lean tools: a case study,” Int. J. vol. 9, no. 1, pp. 65-76, 2020, doi: 10.22105/riej.2020.213445.1110. Search in Google Scholar

[45] Seyed Vahid Mirnoori, “Prioritizing Lean Techniques by Employing Multi- Criteria Decision-Making (MCDM): The Case of MCoutinho,” 2020. Search in Google Scholar

[46] L. Rajpurohit, A. Verma, and M. Singh, “Comparative Study of Leanness Index Methods for Manufacturing Organizations,” Int. J. Adv. Eng. Res. Dev., vol. 4, no. 11, pp. 600-606, 2017, doi: 10.21090/ijaerd.29189. Search in Google Scholar

[47] S. Kumar, B. Singh, M.A. Qadri, Y.V.S. Kumar, and A. Haleem, “A framework for comparative evaluation of lean performance of firms using fuzzy TOPSIS,” Int. J. Product. Qual. Manag., vol. 11, no. 4, pp. 371-392, 2013, doi: 10.1504/IJPQM.2013.054267. Search in Google Scholar

[48] R.A.M.A. Alemi, “Measuring the leanness of manufacturing systems by using fuzzy topsis: A case study of the ‘parizan sanat’ company,” South African J. Ind. Eng., vol. 24, no. 3, pp. 166-174, 2013, doi: 10.21608/egjec.2013.94997. Search in Google Scholar

[49] S.M. Hossein Hojjati and A. Anvary, “An integrated SAW, TOPSIS method for ranking the major lean practices based on four attributes,” World Appl. Sci. J., vol. 28, no. 11, pp. 1862-1871, 2013, doi: 10.5829/idosi.wasj.2013.28.11.2079. Search in Google Scholar

[50] G. Berisha and J.S. Pula, “Defining Small and Medium Enterprises : a critical review,” Acad. J. Business, Adm. Law Soc. Sci., vol. 1, no. 1, pp. 17-28, 2015. Search in Google Scholar

[51] D.D. Harjanto and P.D. Karningsih, “Development of Lean Assessment Tools Dimensions and Indicators for MSMEs in Indonesia,” Prozima, vol. 5, no. 1, pp. 21-29, 2021. Search in Google Scholar

[52] V. Yadav, G. Khandelwal, R. Jain, and M.L. Mittal, “Development of leanness index for SMEs,” Int. J. Lean Six Sigma, vol. 10, no. 1, pp. 397-410, 2019, doi: 10.1108/IJLSS-09-2017-0109. Search in Google Scholar

[53] N.K. Vishal A Wankhede, Ankur Chaurasia, “Leanness assessment of an organization using fuzzy logic approach,” J. Eng. Pract. Futur. Technol., vol. 2, no. 1, pp. 1-6, 2019. Search in Google Scholar

[54] A. Belhadi, F.E. Touriki, and S. El fezazi, “Development of a Lean Assessment Tool for Small and Medium Sized-Enterprises,” no. September, pp. 361-369, 2018, doi: 10.1007/978-3-319-58409-6_40. Search in Google Scholar

[55] S. Sahoo and S. Yadav, “Lean implementation in small- and medium-sized enterprises: An empirical study of Indian manufacturing firms,” Benchmarking, vol. 25, no. 4, pp. 1121-1147, 2018, doi: 10.1108/BIJ-02-2017-0033. Search in Google Scholar

[56] L. Rajpurohit, “A Study of Leanness Assessment of Manufacturing Organizations,” 2017. Search in Google Scholar

[57] A. Abreu and C.J.M.F., “A Fuzzy Logic Model to Evaluate the Lean Level of an Organization,” Int. J. Artif. Intell. Appl., vol. 8, no. 5, pp. 59-75, 2017, doi: 10.5121/ijaia.2017.8505. Search in Google Scholar

[58] M. Cengiz Toklu and H. Taşkin, “Performance evaluation of small-medium enterprises based on management and organization,” Acta Phys. Pol. A, vol. 132, no. 3, pp. 994-998, 2017, doi: 10.12693/APhysPolA.132.994. Search in Google Scholar

[59] R. Vidyadhar R. Sudeep Kumar S. Vinodh Jiju Antony, “Application of fuzzy logic for leanness assessment in SMEs: A case study,” J. Eng. Des. Technol., vol. 14, no. 1, 2016. Search in Google Scholar

[60] S. Thanki, K. Govindan, and J. Thakkar, “An investigation on lean-green implementation practices in Indian SMEs using analytical hierarchy process (AHP) approach,” J. Clean. Prod., vol. 135, pp. 284-298, 2016, doi: 10.1016/j.jclepro.2016.06.105. Search in Google Scholar

[61] Z. Tabassum, “A statistical analysis of lean practices, and impacts on small and medium-sized enterprises (SMEs) in Pakistan,” 2016. Search in Google Scholar

[62] P.K. Balasubramanian and K. Hemamala, “Leanness Assessment using Fuzzy Logic Approach: A Case of Indian Horn Manufacturing Company,” Int. J. Data Min. Tech. Appl., vol. 5, no. 2, pp. 102-109, 2016, doi: 10.20894/ijdmta.102.005.002.001. Search in Google Scholar

[63] B. Zhou, “Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs),” Ann. Oper. Res., vol. 241, no. 1-2, pp. 457-474, 2016, doi: 10.1007/s10479-012-1177-3. Search in Google Scholar

[64] M. Godinho Filho, G.M.D. Ganga, and A. Gunasekaran, “Lean manufacturing in Brazilian small and medium enterprises: implementation and effect on performance,” Int. J. Prod. Res., vol. 54, no. 24, pp. 7523-7545, 2016, doi: 10.1080/00207543.2016.1201606. Search in Google Scholar

[65] C. Laoha and S. Sukto, “Lean assessment for manufacturing of small and medium enterprises: A case study of 2 industrial groups in Northeast of Thailand,” Int. Bus. Manag., vol. 9, no. 4, pp. 590-595, 2015, doi: 10.3923/ibm.2015.590.595. Search in Google Scholar

[66] C. Laoha and S. Sukto, “Lean assessment for manufacturing of small and medium enterprises (SMEs): A case study of electronics industry in the Northeast of Thailand,” KKU Eng. J., vol. 42, no. 3, pp. 258-262, 2015, doi: 10.14456/kkuenj.2015.28. Search in Google Scholar

[67] C.-Y. L. & Y.-H. H. Cathay Kuo-Tai Kang, “Key Factors to Increasing Free Cash Flow for Manufacturers Utilizing Lean Production: An AHP-DEMATEL Approach,” Inf. Manag. Bus. Rev., vol. 14, no. 2, pp. 28-45, 2022. Search in Google Scholar

[68] M.K. And and Shaout, “Fuzzy Consistency Algorithm for Performance Evaluation of Sudanese Universities,” Sixth Int. Arab Conf. Qual. Assur. High. Educ. (IACQA ), vol. 2016, 2016. Search in Google Scholar

[69] M.K.A. Yousif, “Performance evaluation of sudanese universities and academic staff using fuzzy logic technique,” 2016. Search in Google Scholar

[70] A. Onay, Ç. Karamaşa, and B. Saraç, “Application of fuzzy AHP in selection of accounting elective courses in undergraduate and graduate Level,” J. Accounting, Financ. Audit. Stud., vol. 2, no. 4, pp. 20-42, 2016, [Online]. Available: http://www.aacsb.edu/. Search in Google Scholar

[71] H. H. - and C. H. -, “Applying the Fuzzy Analytic Hierarchy Process to Consumer Decision-Making Regarding Home Stays,” Int. J. Adv. Comput. Technol., vol. 5, no. 4, pp. 981-990, 2013, doi: 10.4156/ijact.vol5.issue4.119. Search in Google Scholar

[72] S.E.I.D. Helmy, G.H. Eladl, and M. Eisa, “Fuzzy analytical hierarchy process (FAHP) using geometric mean method to select best,” vol. 99, no. 1, 2021. Search in Google Scholar

[73] N.F.M. Nur Syuhaila Abdul Rashid, Nur Amirah Mohd Amin, “Application of fuzzy analytic hierarchy process for contractor selection problem,” vol. 3, no. September, pp. 258-276, 2020, doi: 10.4018/978-1-7998-5024-3.ch012. Search in Google Scholar

[74] A.M. Torkabadi and R.V. Mayorga, “Evaluation of pull production control strategies under uncertainty: An integrated fuzzy AHP-topsis approach,” J. Ind. Eng. Manag., vol. 11, no. 1, pp. 161-184, 2018, doi: 10.3926/jiem.2528. Search in Google Scholar

[75] F.R. Lima Junior, L. Osiro, and L.C.R. Carpinetti, “A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection,” Appl. Soft Comput. J., vol. 21, pp. 194-209, 2014, doi: 10.1016/j.asoc.2014.03.014. Search in Google Scholar