[1] Shayan, E., & Sobhanallahi, A. (2002). Productivity gains by cellular manufacturing. Production planning & control, 13(6), 507-516.
[2] San, G., Huang, T. C., & Huang, L. H. (2008). Does labour quality matter on productivity growth? The case of the Taiwanese manufacturing industry. Total quality management & business excellence, 19(10), 1043-1053.
[3] Chaudhuri, A., Koudal, P., & Seshadri, S. (2010). Productivity and capital investments: An empirical study of three manufacturing industries in India. IIMB management review, 22(3), 65-79.
[4] Liu, T., & Li, K. W. (2012). Analyzing China's productivity growth: Evidence from manufacturing industries. Economic systems, 36(4), 531-551.
[5] Kottawatta, K. H. H. (2011). Impact of attitudinal factors on job performance of executives and non-executive employees in apparel industry in Sri Lanka. Sri lankan journal of human resource management, 1(1).
[6] Tangen, S. (2003). An overview of frequently used performance measures. Work study, 52(7), 347-354.
[7] Tang, Y. C., & Beynon, M. J. (2005). Application and development of a fuzzy analytic hierarchy process within a capital investment study. Journal of economics and management, 1(2), 207-230.
[8] Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Lecture notes in economics and mathematical systems.
[9] Aissaoui, N., Haouari, M., & Hassini, E. (2007). Supplier selection and order lot sizing modeling: A review. Computers & operations research, 34(12), 3516-3540.
[10] De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European journal of purchasing & supply management, 7(2), 75-89.
[11] Ho, W. (2008). Integrated analytic hierarchy process and its applications–A literature review. European journal of operational research, 186(1), 211-228.
[12] El-Sawalhi, N., Eaton, D., & Rustom, R. (2007). Contractor pre-qualification model: State-of-the-art. International journal of project management, 25(5), 465-474.
[13] Bruno, G., Esposito, E., Genovese, A., & Passaro, R. (2012). AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of purchasing and supply management, 18(3), 159-172.
[14] Chai, J., Liu, J. N., & Ngai, E. W. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert systems with applications, 40(10), 3872-3885.
[15] Ordoobadi, S. M. (2009). Development of a supplier selection model using fuzzy logic. Supply chain management: An international journal, 14(4), 314-327.
[16] Labib, A. W. (2011). A supplier selection model: a comparison of fuzzy logic and the analytic hierarchy process. International journal of production research, 49(21), 6287-6299.
[17] Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy sets and systems, 11(1-3), 229-241.
[18] Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy sets and systems, 17(3), 233-247.
[19] Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.
[20] Kutlu, A. C., & Ekmekçioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert systems with applications, 39(1), 61-67.
[21] Chang, B., Chang, C. W., & Wu, C. H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert systems with Applications, 38(3), 1850-1858.
[22] Nakandala, D., Samaranayake, P., & Lau, H. C. (2013). A fuzzy-based decision support model for monitoring on-time delivery performance: A textile industry case study. European journal of operational research, 225(3), 507-517.
[23] Ganga, G. M. D., Carpinetti, L. C. R., & Politano, P. R. (2011). A fuzzy logic approach to supply chain performance management. Gestão & produção, 18(4), 755-774.
[24] Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied soft computing, 12(6), 1668-1677.
[25] Altinoz, C. (2008). Supplier selection for industry: a fuzzy rule-based scoring approach with a focus on usability. International journal of integrated supply management, 4(3-4), 303-321.
[26] Heo, E., Kim, J., & Boo, K. J. (2010). Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP. Renewable and sustainable energy reviews, 14(8), 2214-2220.
[27] Tasri, A., & Susilawati, A. (2014). Selection among renewable energy alternatives based on a fuzzy analytic hierarchy process in Indonesia. Sustainable energy technologies and assessments, 7, 34-44.
[28] Thengane, S. K., Hoadley, A., Bhattacharya, S., Mitra, S., & Bandyopadhyay, S. (2014). Cost-benefit analysis of different hydrogen production technologies using AHP and Fuzzy AHP. International journal of hydrogen energy, 39(28), 15293-15306.
[29] Dong, Q., & Cooper, O. (2016). An orders-of-magnitude AHP supply chain risk assessment framework. International journal of production economics, 182, 144-156.
[30] Mangla, S. K., Govindan, K., & Luthra, S. (2017). Prioritizing the barriers to achieve sustainable consumption and production trends in supply chains using fuzzy analytical hierarchy process. Journal of cleaner production, 151, 509-525.
[31] Mangla, S. K., Kumar, P., & Barua, M. K. (2015). Risk analysis in green supply chain using fuzzy AHP approach: a case study. Resources, conservation and recycling, 104, 375-390.
[32] Seçme, N. Y., Bayrakdaroğlu, A., & Kahraman, C. (2009). Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS. Expert systems with applications, 36(9), 11699-11709.
[34] Dubois, D., & Prade, H. (1980). Systems of linear fuzzy constraints. Fuzzy sets and systems, 3(1), 37-48.
[35] Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics information management, 16(6), 382-394.