Zhang Z, Sharifi H. (2010); “A Methodology for Achieving Agility in Manufacturing Organisations”,
International Journal of Operations & Production Management, Vol. 20 No. 4, pp. 496-512.
 Swafford , Patricia M.; Ghosh, Soumen; Murthy, Nagesh (2017), The antecedents of supply chain
agility of a firm: Scale development and model testing, Journal of Operations Management 24 . 170–188.
 Ismail, H. S., & Sharifi, H. (2016). A balanced approach to building agile supply chains. International
Journal of Physical Distribution and Logistics Management, 36 (6), 431-444.
 Lin, Ching-Torng; Chiu, Hero; Chu, Po-Young(2017), Agility index in the supply chain, International
Jornal Production Economics 100, 285–299.
 Van Hoek, R.I., Harrison, A., Christopher, M., 2018. Measuring agile capabilities in the supply chain.
International Journal of Operations & Production Management 21 (1/2), 126–147.
 van Hoek, R., 2015. Epilogue: Moving forwards with agility. International Journal of Physical
Distribution and Logistics Management, 31 (4), 290–300.
 Zain, M., Rose, R. Ch., Abdullah, I., Masrom, M., The relationship between information technology
acceptance and organizational agility in Malaysia, Information & Management,Vol.42, PP.829-839, 2015
 Christopher, M., & Towill, D. (2019). An integrated model for the design of agile supply
chains. International Journal of Physical Distribution & Logistics Management, 31(4), 235-246.
 Agarwal, A., Shankar, R., & Tiwari, M. K. (2016). Modeling the metrics of lean, agile and leagile
supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211-225.
 Faisal MN., Banwet DK., Shankar R.(2017); “Quantification of Risk Mitigation Environment of
Supply Chains Using Graph Theory and Matrix Methods”, European J. Industrial Engineering, Vol. 1,
No. 1, pp.29-39.
 Gao, S., Wang, H., Xu, D., & Wang, Y. (2007). An intelligent agent-assisted decision support system
for family financial planning. Decision Support Systems, 44(1), 60-78.
 Swafford, P. M., Ghosh, S., & Murthy, N. (2018). Achieving supply chain agility through IT
integration and flexibility. International Journal of Production Economics, 116(2), 288-297.
 Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply
chain agility for risk mitigation and response. Journal of operations Management, 27(2), 119-140.
 Gosling, J., Purvis, L., & Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier
selection. International Journal of Production Economics, 128(1), 11-21.
 Ngai, E. W., Chau, D. C., & Chan, T. L. A. (2011). Information technology, operational, and
management competencies for supply chain agility: Findings from case studies. The Journal of Strategic
Information Systems, 20(3), 232-249.
 Moon, K. K. L., Yi, C. Y., & Ngai, E. W. T. (2012). An instrument for measuring supply chain
flexibility for the textile and clothing companies. European Journal of Operational Research, 222(2), 191-
 Yusuf, Y. Y., Musa, A., Dauda, M., El-Berishy, N., Kovvuri, D., & Abubakar, T. (2014). A study of
the diffusion of agility and cluster competitiveness in the oil and gas supply chains. International Journal
of Production Economics, 147, 498-513.
 Gligor, D. M., Esmark, C. L., & Holcomb, M. C. (2015). Performance outcomes of supply chain
agility: when should you be agile?. Journal of Operations Management, 33, 71-82.
 Oliveira, O., Gamboa, D., & Fernandes, P. (2016). An Information System for the Furniture Industry
to Optimize the Cutting Process and the Waste Generated. Procedia Computer Science, 100, 711-716.
 Wu, K. J., Tseng, M. L., Chiu, A. S., & Lim, M. K. (2016). Achieving competitive advantage
through supply chain agility under uncertainty: A novel multi-criteria decision-making
structure. International Journal of Production Economics.
 Chan, A. T., Ngai, E. W., & Moon, K. K. (2016). The effects of strategic and manufacturing
flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of
 Han, J. H., Wang, Y., & Naim, M. (2017). Reconceptualization of information technology flexibility
for supply chain management: An empirical study. International Journal of Production Economics, 187,
 Battistella, C., De Toni, A. F., De Zan, G., & Pessot, E. (2017). Cultivating business model agility
through focused capabilities: A multiple case study. Journal of Business Research, 73, 65-82.
 Ocampo, J. R., Hernández-Matías, J. C., & Vizán, A. (2017). A method for estimating the influence
of advanced manufacturing tools on the manufacturing competitiveness of Maquiladoras in the apparel
industry in Central America. Computers in Industry, 87, 31-51.
 M.Cruz, J. (2013). Modeling the relationship of globalized supply chains and corporate social
responsibility. Journal of Cleaner Production, 56, 73-85.
 Hsueh, CH-F. (2015). A bilevel programming model for corporate social responsibility collaboration
in sustainable supply chain management. Transportation Research Part E: Logistics and Transportation
Review, 73, 84-95.
 Deb, K.(2002). A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE
TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 6, 182-198.
 Zitzler, E., Laumanns, M., & Thiele, L. (2019). SPEA2: Improving the strength pareto
evolutionary algorithm. In Proceedings of the evolutionary methods for design, Barcelona, Spain.
 Corne, D. W., Jerram, N. R., Knowles, J. D., & Oates, M. J. (2001). PESA-II: region-based
selection in evolutionary multi objective optimization. In Proceedings of the genetic and
evolutionary computation conference (GECCO-2001).
 Jiménez, M., "Linear programming with fuzzy parameters: an interactive method resolution."
European Journal of Operational Research, 2007. 177(3): p. 1599-1609.
 Tavakkoli-Moghaddam, R., M. Azarkish, and A. Sadeghnejad-Barkousaraie, 2016. "A new hybrid
multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem." Expert
Systems with Applications. 38(9): p. 10812-10821