How to cite this paper
Sandeepa, S & Chand, M. (2018). Analysis of flexibility factors in Sustainable Supply Chain using Total Interpretive Structural Modeling (T-ISM) Technique.Uncertain Supply Chain Management, 6(1), 1-12.
Refrences
Amalnick, M., & Saffar, M. (2017). An integrated approach for supply chain assessment from resilience engineering and ergonomics perspectives. Uncertain Supply Chain Management, 5(3), 159-168.
Azzone, G. & Bertele, U. (1989). Measuring the economic effectiveness of flexible automation: a new approach, International Journal of Production Research, 27(5),735–746.
Beskese, A., Kahraman, C. & Irani, Z. (2004). Quantification of flexibility in advanced manufacturing systems using fuzzy concept. International Journal of Production Economics, 89(4), 45–56.
Browne, J., Dubois, D., Rathmill, K., Sethi, S. P., & Stecke, K. E. (1984). Classification of flexible manufacturing systems. The FMS magazine, 2(2), 114-117.
Buzacott, J. A. (1982, October). The fundamental principles of flexibility in manufacturing systems. In Proceedings of the 1st international conference on flexible manufacturing systems (pp. 13-22). North Holland Publishing Co.
Bottani, E., Montanari, R., & Rinaldi, M. (2015). How many to produce? The impact of machine flexibility on the performance of a supply chain. International Journal of Supply Chain and Inventory Management, 1(1), 62-90.
Chan, H. K., & Chan, F. T. (2010). Comparative study of adaptability and flexibility in distributed manufacturing supply chains. Decision Support Systems, 48(2), 331-341.
Chand, M., Raj, T., & Shankar, R. (2014). Analysing the operational risks in supply chain by using weighted interpretive structure modelling technique. International Journal of Services and Operations Management, 18(4), 378-403.
Chand, M., Raj, T., & Shankar, R. (2015). Weighted-ISM technique for analysing the competitiveness of uncertainty and risk measures in supply chain. International Journal of Logistics Systems and Management, 21(2), 181-198.
Chen, I. J., & Chung, C. H. (1996). An examination of flexibility measurements and performance of flexible manufacturing systems. International Journal of Production Research, 34(2), 379-394.
Chidambaranathan, S., Muralidharan, C., & Deshmukh, S. G. (2009). Analyzing the interaction of critical factors of supplier development using Interpretive Structural Modeling—an empirical study. The International Journal of Advanced Manufacturing Technology, 43(11), 1081-1093.
Corrêa, H. L. (1994). Linking Flexibility, Uncertainty and Variability in Manufacturing Systems: Managing un-planned change in the automative industry. Avebury.
Dangayach, G. S., & Deshmukh, S. G. (2001). Manufacturing strategy perspective on flexibility: a case of select Indian companies. Global Journal of Flexible Systems Management, 2(2), 21-30.
Beamon, B. M. (1999). Measuring supply chain performance. International journal of operations & production management, 19(3), 275-292.
Day, G. S. (1994). The capabilities of market-driven organizations. the Journal of Marketing, 37-52.
Dixon, J. R. (1990). The new performance challenge: Measuring operations for world-class competition. Irwin Professional Pub.
Dong, L., & Rudi, N. (2004). Who benefits from transshipment? Exogenous vs. endogenous wholesale prices. Management Science, 50(5), 645-657.
Dubey, R., & Ali, S. S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131-143.
Elcio M. T., & Giménez C. (2007). Drivers and sources of supply flexibility: An exploratory study. International Journal of Operations & Production Management. 27(10), 1115–1136.
Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., & Mo, J. (2016). Tactical supply chain planning models with inherent flexibility: definition and review. Annals of Operations Research, 244(2), 407-427.
Gerwin, D. (1987). An agenda for research on the flexibility of manufacturing processes. International Journal of Operations & Production Management, 7(1), 38-49.
Tennant, S., & Fernie, S. (2013). Organizational learning in construction supply chains. Engineering, Construction and Architectural Management, 20(1), 83-98.
Goyal, M., & Netessine, S. (2007). Strategic technology choice and capacity investment under demand uncertainty. Management Science, 53(2), 192-207.
Helmuth, C. A., Craighead, C. W., Connelly, B. L., Collier, D. Y., & Hanna, J. B. (2015). Supply chain management research: Key elements of study design and statistical testing. Journal of Operations Management, 36, 178-186.
George, J. P., & Pramod, V. R. (2014). An interpretive structural model (ISM) analysis approach in steel re rolling mills (SRRMS). Int. J. Res. Eng. Technol, 2(4), 161-174.
Kausar, K., Garg, D., & Luthra, S. (2017). Key enablers to implement sustainable supply chain management practices: An Indian insight. Uncertain Supply Chain Management, 5(2), 89-104.
Khatwani, G., Singh, S. P., Trivedi, A., & Chauhan, A. (2015). Fuzzy-TISM: A fuzzy extension of TISM for group decision making. Global Journal of Flexible Systems Management, 16(1), 97-112.
Khatwani, G., Singh, S. P., Trivedi, A., & Chauhan, A. (2015). Fuzzy-TISM: A fuzzy extension of TISM for group decision making. Global Journal of Flexible Systems Management, 16(1), 97-112.
Nasim, S. (2011). Total interpretive structural modeling of continuity and change forces in e-government. Journal of Enterprise Transformation, 1(2), 147-168.
Park, C. S., & Son, Y. K. (1988). An economic evaluation model for advanced manufacturing systems. The Engineering Economist, 34(1), 1-26.
Pramod, V. R., & Banwet, D. K. (2010). Interpretive structural modelling for understanding the inhibitors of a telecom service supply chain. IEOM (Dhaka, Bangladesh), 9-10.
Prasad, U. C., & Suri, R. K. (2011). Modeling of continuity and change forces in private higher technical education using total interpretive structural modeling (TISM). Global Journal of Flexible Systems Management, 12(3/4), 31.
Wadhwa, S., Saxena, A., & Chan, F. T. S. (2008). Framework for flexibility in dynamic supply chain management. International Journal of Production Research, 46(6), 1373-1404.
Attri, R., Dev, N., & Sharma, V. (2013). Interpretive structural modelling (ISM) approach: an overview. Research Journal of Management Sciences, 2(2), 3-8.
Singh, R. K., Garg, S. K., & Deshmukh, S. G. (2007). Interpretive structural modelling of factors for improving competitiveness of SMEs. International Journal of Productivity and Quality Management, 2(4), 423-440.
Rao, R. V., & Parnichkun, M. (2009). Flexible manufacturing system selection using a combinatorial mathematics-based decision-making method. International Journal of Production Research, 47(24), 6981-6998.
Rudi, N., Kapur, S., & Pyke, D. F. (2001). A two-location inventory model with transshipment and local decision making. Management science, 47(12), 1668-1680.
Sage, A. P. (1977). Methodology for large-scale systems.
Sandbhor, S. S., & Botre, R. P. (2014). Applying total interpretive structural modeling to study factors affecting construction labour productivity. Construction Economics and Building, 14(1), 20-31.
Saxena, J. P., Sushil, & Vrat, P. (2006). Policy and strategy formulation: An application of flexible systems methodology. GIFT Pub.
Sethi, A. K., & Sethi, S. P. (1990). Flexibility in manufacturing: a survey. International Journal of Flexible Manufacturing Systems, 2(4), 289-328.
Dubey, R., & Ali, S. S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131-143.
Shewchuk, J. P. (1999). A set of generic flexibility measures for manufacturing applications. International Journal of Production Research, 37(13), 3017-3042.
Singh, A. K., & Sushil. (2013). Modeling enablers of TQM to improve airline performance. International Journal of Productivity and Performance Management, 62(3), 250-275.
Singh, D., Oberoi, J. S., & Ahuja, I. S. (2011). A survey of literature of conceptual frameworks assessing supply chain flexibility. International Journal of Applied Engineering Research, 2(1), 172.
Son, Y. K., & Park, C. S. (1990). Quantifying opportunity costs associated with adding manufacturing flexibility. The International Journal of Production Research, 28(6), 1183-1194.
Srivastava, A. K., & Sushil. (2013). Modeling strategic performance factors for effective strategy execution. International Journal of Productivity and Performance Management, 62(6), 554-582.
Sushil, S. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management, 13(2), 87-106.
Dubey, R., & Ali, S. S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131-143.
Bhawan, V., & Marg, S. J. S. (2005). Interpretive matrix: a tool to aid interpretation of management and social research. Global Journal of Flexible Systems Management, 6(2), 27-30.
Sushil, A. (2005). A flexible strategy framework for managing continuity and change. International Journal of Global Business and Competitiveness, 1(1), 22-32.
Tavana, M., Kaviani, M. A., Di Caprio, D., & Rahpeyma, B. (2016). A two-stage data envelopment analysis model for measuring performance in three-level supply chains. Measurement, 78, 322-333.
Thakkar, J., Deshmukh, S. G., Gupta, A. D., & Shankar, R. (2006). Development of a balanced scorecard: an integrated approach of interpretive structural modeling (ISM) and analytic network process (ANP). International Journal of Productivity and Performance Management, 56(1), 25-59.
De Toni, A., & Tonchia, S. (2001). Performance measurement systems-models, characteristics and measures. International Journal of Operations & Production Management, 21(1/2), 46-71.
Tsubone, H., & Horikawa, M. (1999). A comparison between machine flexibility and routing flexibility. International Journal of Flexible Manufacturing Systems, 11(1), 83-101.
Upton, D.M. (1994). The management of manufacturing flexibility. California
Upton, D. (1995). What really makes factories flexible?. Harvard business review, 73(4), 74-84.
Volberda, H. W. (1996). Toward the flexible form: How to remain vital in hypercompetitive environments. Organization Science, 7(4), 359-374.
Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain perspective: definition and review. International Journal of Operations & Production Management, 27(7), 685-713.
Warfield, J. N. (1974). Developing subsystem matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, 1, 74-80.
Warfield. J, (2005). Developing interconnection matrices in structural modelling. IEEE Transactionsons on Systems, Man and Cybernetics, 4(1), 81–67.
Wasuja, S., Sagar, M., & Sushil. (2012). Cognitive bias in salespersons in specialty drug selling of pharmaceutical industry. International Journal of Pharmaceutical and Healthcare Marketing, 6(4), 310-335.
Wong, H., Cattrysse, D., & Van Oudheusden, D. (2005). Inventory pooling of repairable spare parts with non-zero lateral transshipment time and delayed lateral transshipments. European Journal of Operational Research, 165(1), 207-218.
Xiao, Y. (2015). Flexibility measure analysis of supply chain. International Journal of Production Research, 53(10), 3161-3174.
Zhang, Q., Vonderembse, M.A. & Lim, J. (2002). Value chain flexibility: a dichotomy of capability. International Journal of Production, 40(3), 561-583.
Azzone, G. & Bertele, U. (1989). Measuring the economic effectiveness of flexible automation: a new approach, International Journal of Production Research, 27(5),735–746.
Beskese, A., Kahraman, C. & Irani, Z. (2004). Quantification of flexibility in advanced manufacturing systems using fuzzy concept. International Journal of Production Economics, 89(4), 45–56.
Browne, J., Dubois, D., Rathmill, K., Sethi, S. P., & Stecke, K. E. (1984). Classification of flexible manufacturing systems. The FMS magazine, 2(2), 114-117.
Buzacott, J. A. (1982, October). The fundamental principles of flexibility in manufacturing systems. In Proceedings of the 1st international conference on flexible manufacturing systems (pp. 13-22). North Holland Publishing Co.
Bottani, E., Montanari, R., & Rinaldi, M. (2015). How many to produce? The impact of machine flexibility on the performance of a supply chain. International Journal of Supply Chain and Inventory Management, 1(1), 62-90.
Chan, H. K., & Chan, F. T. (2010). Comparative study of adaptability and flexibility in distributed manufacturing supply chains. Decision Support Systems, 48(2), 331-341.
Chand, M., Raj, T., & Shankar, R. (2014). Analysing the operational risks in supply chain by using weighted interpretive structure modelling technique. International Journal of Services and Operations Management, 18(4), 378-403.
Chand, M., Raj, T., & Shankar, R. (2015). Weighted-ISM technique for analysing the competitiveness of uncertainty and risk measures in supply chain. International Journal of Logistics Systems and Management, 21(2), 181-198.
Chen, I. J., & Chung, C. H. (1996). An examination of flexibility measurements and performance of flexible manufacturing systems. International Journal of Production Research, 34(2), 379-394.
Chidambaranathan, S., Muralidharan, C., & Deshmukh, S. G. (2009). Analyzing the interaction of critical factors of supplier development using Interpretive Structural Modeling—an empirical study. The International Journal of Advanced Manufacturing Technology, 43(11), 1081-1093.
Corrêa, H. L. (1994). Linking Flexibility, Uncertainty and Variability in Manufacturing Systems: Managing un-planned change in the automative industry. Avebury.
Dangayach, G. S., & Deshmukh, S. G. (2001). Manufacturing strategy perspective on flexibility: a case of select Indian companies. Global Journal of Flexible Systems Management, 2(2), 21-30.
Beamon, B. M. (1999). Measuring supply chain performance. International journal of operations & production management, 19(3), 275-292.
Day, G. S. (1994). The capabilities of market-driven organizations. the Journal of Marketing, 37-52.
Dixon, J. R. (1990). The new performance challenge: Measuring operations for world-class competition. Irwin Professional Pub.
Dong, L., & Rudi, N. (2004). Who benefits from transshipment? Exogenous vs. endogenous wholesale prices. Management Science, 50(5), 645-657.
Dubey, R., & Ali, S. S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131-143.
Elcio M. T., & Giménez C. (2007). Drivers and sources of supply flexibility: An exploratory study. International Journal of Operations & Production Management. 27(10), 1115–1136.
Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., & Mo, J. (2016). Tactical supply chain planning models with inherent flexibility: definition and review. Annals of Operations Research, 244(2), 407-427.
Gerwin, D. (1987). An agenda for research on the flexibility of manufacturing processes. International Journal of Operations & Production Management, 7(1), 38-49.
Tennant, S., & Fernie, S. (2013). Organizational learning in construction supply chains. Engineering, Construction and Architectural Management, 20(1), 83-98.
Goyal, M., & Netessine, S. (2007). Strategic technology choice and capacity investment under demand uncertainty. Management Science, 53(2), 192-207.
Helmuth, C. A., Craighead, C. W., Connelly, B. L., Collier, D. Y., & Hanna, J. B. (2015). Supply chain management research: Key elements of study design and statistical testing. Journal of Operations Management, 36, 178-186.
George, J. P., & Pramod, V. R. (2014). An interpretive structural model (ISM) analysis approach in steel re rolling mills (SRRMS). Int. J. Res. Eng. Technol, 2(4), 161-174.
Kausar, K., Garg, D., & Luthra, S. (2017). Key enablers to implement sustainable supply chain management practices: An Indian insight. Uncertain Supply Chain Management, 5(2), 89-104.
Khatwani, G., Singh, S. P., Trivedi, A., & Chauhan, A. (2015). Fuzzy-TISM: A fuzzy extension of TISM for group decision making. Global Journal of Flexible Systems Management, 16(1), 97-112.
Khatwani, G., Singh, S. P., Trivedi, A., & Chauhan, A. (2015). Fuzzy-TISM: A fuzzy extension of TISM for group decision making. Global Journal of Flexible Systems Management, 16(1), 97-112.
Nasim, S. (2011). Total interpretive structural modeling of continuity and change forces in e-government. Journal of Enterprise Transformation, 1(2), 147-168.
Park, C. S., & Son, Y. K. (1988). An economic evaluation model for advanced manufacturing systems. The Engineering Economist, 34(1), 1-26.
Pramod, V. R., & Banwet, D. K. (2010). Interpretive structural modelling for understanding the inhibitors of a telecom service supply chain. IEOM (Dhaka, Bangladesh), 9-10.
Prasad, U. C., & Suri, R. K. (2011). Modeling of continuity and change forces in private higher technical education using total interpretive structural modeling (TISM). Global Journal of Flexible Systems Management, 12(3/4), 31.
Wadhwa, S., Saxena, A., & Chan, F. T. S. (2008). Framework for flexibility in dynamic supply chain management. International Journal of Production Research, 46(6), 1373-1404.
Attri, R., Dev, N., & Sharma, V. (2013). Interpretive structural modelling (ISM) approach: an overview. Research Journal of Management Sciences, 2(2), 3-8.
Singh, R. K., Garg, S. K., & Deshmukh, S. G. (2007). Interpretive structural modelling of factors for improving competitiveness of SMEs. International Journal of Productivity and Quality Management, 2(4), 423-440.
Rao, R. V., & Parnichkun, M. (2009). Flexible manufacturing system selection using a combinatorial mathematics-based decision-making method. International Journal of Production Research, 47(24), 6981-6998.
Rudi, N., Kapur, S., & Pyke, D. F. (2001). A two-location inventory model with transshipment and local decision making. Management science, 47(12), 1668-1680.
Sage, A. P. (1977). Methodology for large-scale systems.
Sandbhor, S. S., & Botre, R. P. (2014). Applying total interpretive structural modeling to study factors affecting construction labour productivity. Construction Economics and Building, 14(1), 20-31.
Saxena, J. P., Sushil, & Vrat, P. (2006). Policy and strategy formulation: An application of flexible systems methodology. GIFT Pub.
Sethi, A. K., & Sethi, S. P. (1990). Flexibility in manufacturing: a survey. International Journal of Flexible Manufacturing Systems, 2(4), 289-328.
Dubey, R., & Ali, S. S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131-143.
Shewchuk, J. P. (1999). A set of generic flexibility measures for manufacturing applications. International Journal of Production Research, 37(13), 3017-3042.
Singh, A. K., & Sushil. (2013). Modeling enablers of TQM to improve airline performance. International Journal of Productivity and Performance Management, 62(3), 250-275.
Singh, D., Oberoi, J. S., & Ahuja, I. S. (2011). A survey of literature of conceptual frameworks assessing supply chain flexibility. International Journal of Applied Engineering Research, 2(1), 172.
Son, Y. K., & Park, C. S. (1990). Quantifying opportunity costs associated with adding manufacturing flexibility. The International Journal of Production Research, 28(6), 1183-1194.
Srivastava, A. K., & Sushil. (2013). Modeling strategic performance factors for effective strategy execution. International Journal of Productivity and Performance Management, 62(6), 554-582.
Sushil, S. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management, 13(2), 87-106.
Dubey, R., & Ali, S. S. (2014). Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global Journal of Flexible Systems Management, 15(2), 131-143.
Bhawan, V., & Marg, S. J. S. (2005). Interpretive matrix: a tool to aid interpretation of management and social research. Global Journal of Flexible Systems Management, 6(2), 27-30.
Sushil, A. (2005). A flexible strategy framework for managing continuity and change. International Journal of Global Business and Competitiveness, 1(1), 22-32.
Tavana, M., Kaviani, M. A., Di Caprio, D., & Rahpeyma, B. (2016). A two-stage data envelopment analysis model for measuring performance in three-level supply chains. Measurement, 78, 322-333.
Thakkar, J., Deshmukh, S. G., Gupta, A. D., & Shankar, R. (2006). Development of a balanced scorecard: an integrated approach of interpretive structural modeling (ISM) and analytic network process (ANP). International Journal of Productivity and Performance Management, 56(1), 25-59.
De Toni, A., & Tonchia, S. (2001). Performance measurement systems-models, characteristics and measures. International Journal of Operations & Production Management, 21(1/2), 46-71.
Tsubone, H., & Horikawa, M. (1999). A comparison between machine flexibility and routing flexibility. International Journal of Flexible Manufacturing Systems, 11(1), 83-101.
Upton, D.M. (1994). The management of manufacturing flexibility. California
Upton, D. (1995). What really makes factories flexible?. Harvard business review, 73(4), 74-84.
Volberda, H. W. (1996). Toward the flexible form: How to remain vital in hypercompetitive environments. Organization Science, 7(4), 359-374.
Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain perspective: definition and review. International Journal of Operations & Production Management, 27(7), 685-713.
Warfield, J. N. (1974). Developing subsystem matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, 1, 74-80.
Warfield. J, (2005). Developing interconnection matrices in structural modelling. IEEE Transactionsons on Systems, Man and Cybernetics, 4(1), 81–67.
Wasuja, S., Sagar, M., & Sushil. (2012). Cognitive bias in salespersons in specialty drug selling of pharmaceutical industry. International Journal of Pharmaceutical and Healthcare Marketing, 6(4), 310-335.
Wong, H., Cattrysse, D., & Van Oudheusden, D. (2005). Inventory pooling of repairable spare parts with non-zero lateral transshipment time and delayed lateral transshipments. European Journal of Operational Research, 165(1), 207-218.
Xiao, Y. (2015). Flexibility measure analysis of supply chain. International Journal of Production Research, 53(10), 3161-3174.
Zhang, Q., Vonderembse, M.A. & Lim, J. (2002). Value chain flexibility: a dichotomy of capability. International Journal of Production, 40(3), 561-583.