How to cite this paper
Pamulety, T & Pillai, V. (2016). Effect of customer demand information sharing on a four-stage serial supply chain performance: an experimental study.Uncertain Supply Chain Management, 4(1), 1-16.
Refrences
Agrawal, S., Sengupta, R.N., & Shankar, K. (2009). Impact of information sharing and lead time on bullwhip effect and on-hand inventory. European Journal of Operational Research, 192 (2), 576-593.
Anderson, E.D., Fine, C.H., & Parker, G.G. (2000). Upstream volatility in the supply chain: The machine tool industry as a case study. POMS series in Technology and Operations Management, 9(3), 239-261.
Bendoly, E., Croson, R., Goncalves, P., & Schultz, K. (2010). Bodies of knowledge for research in behavioural operations. Production and Operations Management, 19(4), 434-452.
Bhattacharya, R., & Bandyopadhyay, S. (2011). A review of the causes of bullwhip effect in a supply chain. International Journal of Advanced Manufacturing Technology, 54(9-12), 1245-1261.
Bottani, E., Montanari, R., & Volpi, A. (2010). The impact of RFID and EPC network on the bullwhip effect in the Italian FMCG supply chain. International Journal of Production Economics, 124(2), 426-432.
Buchmeister, B., Pavlinjek, J., Palcic, I., & Polajnar, A., (2008). Bullwhip effect problem in supply chains. Advances in Production Engineering & Management, 3(1), 45-55.
Caloiero, G., Strozzi, F. and Comenges, J.Z., (2008). A supply chain as a series of filters or amplifiers of the bullwhip effect. International Journal of Production Economics, 114(2), 631-645.
Cantor, D.E., & Katok, E. (2012). Production smoothing in a serial supply chain: a laboratory investigation. Transportation Research Part E, 48(4), 781-794.
Carter, C.R., Kaufmann, L., & Michel, A. (2007). Behavioural supply management: A taxonomy of judgement and decision-making biases. International Journal of Physical Distribution & Logistics Management, 37(8), 631-669.
Chan, H.K., & Chan F.T.S. (2010). A review of coordination studies in the context of supply chain dynamics. International Journal of Production Research, 48(10), 2793-2819.
Chen F., Drezner Z., Ryan J.K., & Simchi-Levi, D. (2000). Quantifying the bullwhip effect in a supply chain: The impact of forecasting, lead time and information. Management Science, 46(3), 436-443.
Chopra, S., & Meindl, P. (2007). Supply chain management: Strategy, planning and operation. Prentice Hall of India: New Delhi.
Croson, R., & Donohue, K. (2003). Impact of PoS data sharing on supply chain management: an experiment. Production and Operations Management, 12(1), 1-12.
Croson, R., & Donohue, K. (2005a). Upstream versus downstream information and its impact on the bullwhip effect. System Dynamics Review, 21(3), 249-260.
Croson, R., Donohue, K., Katok, E., & Sterman, J. (2014). Order stability in supply chains: coordination risk and the role of coordination stock. Production and Operations Management, 23(2), 176-196.
Croson, R., & Donohue, K. (2006). Behavioural causes of the bullwhip effect and the observed value of inventory information. Management Science, 52(3), 323-336.
Dejonckheere, J., Disney, S.M., Lambrecht, M.R., & Towill, D.R. (2003). Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research, 147(3), 567-590.
Disney, S.M., & Towill, D.R. (2003). The effect of vendor managed inventory (VMI) dynamics on the bullwhip effect in supply chains. International Journal of Production Economics, 85(2), 199-215.
Disney, S.M., & Towill, D.R. (2006). A methodology for benchmarking replenishment-induced bullwhip. Supply Chain Management: An International, 11(2), 160-168.
Forrester, J. (1958). Industrial dynamics - A major breakthrough for decision makers. Harward Business Review, 36(4), 37-66.
Ge, Y., Yang, J.B., Proudlove, N., & Spring, M. (2004). System dynamics modeling for supply-chain management: A case study on supermarket chain in the UK. International Transactions in Operational Research, 11(5), 495-509.
Kok, T.D., Janssen, F., Doremalen, J.V., Wachen, E.V., Clerkx, M., & Peeters, W. (2005). Philips electronics synchronizes its supply chain to end the bullwhip effect. Interfaces, 35(1), 37-48.
Lee, H.L, Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan Management Review, 38(3), 93-102.
Metters, R., (1997). Quantifying the bullwhip effect in supply chains. Journal of Operations Management, 15(2), 89-100.
Nienhaus, J., Ziegenbein, A., & Schoensleben, P. (2006). How human behavioural amplifies the bullwhip effect. A study based on the beer distribution game online. Production Planning and Control, 17(6), 547-557.
O’donnell, T., Maguire, L., Mcivor, R., & Humphreys, P. (2006). Minimizing the bullwhip effect in a supply chain using genetic algorithms. International Journal of Production Research, 44(8), 1523-1543.
Ouyang Y., & Li X., (2010). The bullwhip effect in supply chain networks. European Journal of Operational Research, 201(3), 799-810.
Paik, S. K., & Bagchi, P. K. (2007). Understanding the causes of the bullwhip effect in a supply chain. International Journal of Retail & Distribution Management, 35(4), 308-324.
Pillai, V.M., & Pamulety, T.C. (2013). Impact of backorder on supply chain performance: an experimental study. Proceedings of International conference on Manufacturing Modelling, Management and Control, Saint Petersburg, Russia, June 19-21, 1967- 1972.
Siegel, S., & Castellan, N.J. (1988). Nonparametric statistics for the behavioural sciences. McGraw Hill international editions: Singapore.
Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E., & Shankar, R. (2008). Designing and Managing the Supply Chain - concepts, strategies and case studies. Tata McGraw-Hill, New York.
Steckel, J.H., Gupta, S., & Banerji, A. (2004). Supply chain decision making: will shorter cycle times and shared point-of-sale information necessarily help? Management Science, 50(4), 458-464.
Sterman, J.D. (1989). Modeling managerial behaviour: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3), 321-339.
Sterman, J.D. (2009). The Beer Game”, Available from: http://web.mit.edu/jsterman/www/SDG/beergame.html [Accessed 1 May 2009].
Sucky, E. (2009). The bullwhip effect in supply chains – An overestimated problem? International Journal of Production Economics, 118(1), 311-322.
Tan, T., Gullu, R., & Erkip, N. (2007). Modelling imperfect advance demand information and analysis of optimal inventory policies. European Journal of Operational Research, 177(2), 897-923.
Taylor, D.H. (2000). Demand amplification: has it got us beat? International Journal of Physical Distribution & Logistics Management, 30(6), 515-533.
Terwiesch, C., Ren, Z.J., Ho, T.H., & Cohen, M.A. (2005). An empirical analysis of forecast sharing in the semiconductor equipment supply chain. Management Science, 51(2), 208-220.
Tokar, T. (2010). Behavioural research in logistics and supply chain management. The International Journal of Logistics Management, 21(1), 89-103.
Wadhwa, S., Bibhushan, & Chan, F. T. (2009). Inventory performance of some supply chain inventory policies under impulse demands. International Journal of Production Research, 47(12), 3307-3332.
Wang, X., Liu, Z., Zheng, C., & Quan, C. (2008). The impact of Lead time on bullwhip effect in supply chain. IEEE transactions, 3, 93-97.
Wright, D., & Yuan, X. (2008). Mitigating the bullwhip effect by ordering policies and forecasting methods. International Journal of Production Economics, 113(2), 587-597.
Wu, D.Y., & Katok, E. (2006). Learning, communication and bullwhip effect. Journal of Operations Management, 24(6), 839-850.
Zymelman, M. (1965). A stabilization policy for the cotton textile cycle. Management Science, 11(5), 572-580.
Anderson, E.D., Fine, C.H., & Parker, G.G. (2000). Upstream volatility in the supply chain: The machine tool industry as a case study. POMS series in Technology and Operations Management, 9(3), 239-261.
Bendoly, E., Croson, R., Goncalves, P., & Schultz, K. (2010). Bodies of knowledge for research in behavioural operations. Production and Operations Management, 19(4), 434-452.
Bhattacharya, R., & Bandyopadhyay, S. (2011). A review of the causes of bullwhip effect in a supply chain. International Journal of Advanced Manufacturing Technology, 54(9-12), 1245-1261.
Bottani, E., Montanari, R., & Volpi, A. (2010). The impact of RFID and EPC network on the bullwhip effect in the Italian FMCG supply chain. International Journal of Production Economics, 124(2), 426-432.
Buchmeister, B., Pavlinjek, J., Palcic, I., & Polajnar, A., (2008). Bullwhip effect problem in supply chains. Advances in Production Engineering & Management, 3(1), 45-55.
Caloiero, G., Strozzi, F. and Comenges, J.Z., (2008). A supply chain as a series of filters or amplifiers of the bullwhip effect. International Journal of Production Economics, 114(2), 631-645.
Cantor, D.E., & Katok, E. (2012). Production smoothing in a serial supply chain: a laboratory investigation. Transportation Research Part E, 48(4), 781-794.
Carter, C.R., Kaufmann, L., & Michel, A. (2007). Behavioural supply management: A taxonomy of judgement and decision-making biases. International Journal of Physical Distribution & Logistics Management, 37(8), 631-669.
Chan, H.K., & Chan F.T.S. (2010). A review of coordination studies in the context of supply chain dynamics. International Journal of Production Research, 48(10), 2793-2819.
Chen F., Drezner Z., Ryan J.K., & Simchi-Levi, D. (2000). Quantifying the bullwhip effect in a supply chain: The impact of forecasting, lead time and information. Management Science, 46(3), 436-443.
Chopra, S., & Meindl, P. (2007). Supply chain management: Strategy, planning and operation. Prentice Hall of India: New Delhi.
Croson, R., & Donohue, K. (2003). Impact of PoS data sharing on supply chain management: an experiment. Production and Operations Management, 12(1), 1-12.
Croson, R., & Donohue, K. (2005a). Upstream versus downstream information and its impact on the bullwhip effect. System Dynamics Review, 21(3), 249-260.
Croson, R., Donohue, K., Katok, E., & Sterman, J. (2014). Order stability in supply chains: coordination risk and the role of coordination stock. Production and Operations Management, 23(2), 176-196.
Croson, R., & Donohue, K. (2006). Behavioural causes of the bullwhip effect and the observed value of inventory information. Management Science, 52(3), 323-336.
Dejonckheere, J., Disney, S.M., Lambrecht, M.R., & Towill, D.R. (2003). Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research, 147(3), 567-590.
Disney, S.M., & Towill, D.R. (2003). The effect of vendor managed inventory (VMI) dynamics on the bullwhip effect in supply chains. International Journal of Production Economics, 85(2), 199-215.
Disney, S.M., & Towill, D.R. (2006). A methodology for benchmarking replenishment-induced bullwhip. Supply Chain Management: An International, 11(2), 160-168.
Forrester, J. (1958). Industrial dynamics - A major breakthrough for decision makers. Harward Business Review, 36(4), 37-66.
Ge, Y., Yang, J.B., Proudlove, N., & Spring, M. (2004). System dynamics modeling for supply-chain management: A case study on supermarket chain in the UK. International Transactions in Operational Research, 11(5), 495-509.
Kok, T.D., Janssen, F., Doremalen, J.V., Wachen, E.V., Clerkx, M., & Peeters, W. (2005). Philips electronics synchronizes its supply chain to end the bullwhip effect. Interfaces, 35(1), 37-48.
Lee, H.L, Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan Management Review, 38(3), 93-102.
Metters, R., (1997). Quantifying the bullwhip effect in supply chains. Journal of Operations Management, 15(2), 89-100.
Nienhaus, J., Ziegenbein, A., & Schoensleben, P. (2006). How human behavioural amplifies the bullwhip effect. A study based on the beer distribution game online. Production Planning and Control, 17(6), 547-557.
O’donnell, T., Maguire, L., Mcivor, R., & Humphreys, P. (2006). Minimizing the bullwhip effect in a supply chain using genetic algorithms. International Journal of Production Research, 44(8), 1523-1543.
Ouyang Y., & Li X., (2010). The bullwhip effect in supply chain networks. European Journal of Operational Research, 201(3), 799-810.
Paik, S. K., & Bagchi, P. K. (2007). Understanding the causes of the bullwhip effect in a supply chain. International Journal of Retail & Distribution Management, 35(4), 308-324.
Pillai, V.M., & Pamulety, T.C. (2013). Impact of backorder on supply chain performance: an experimental study. Proceedings of International conference on Manufacturing Modelling, Management and Control, Saint Petersburg, Russia, June 19-21, 1967- 1972.
Siegel, S., & Castellan, N.J. (1988). Nonparametric statistics for the behavioural sciences. McGraw Hill international editions: Singapore.
Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E., & Shankar, R. (2008). Designing and Managing the Supply Chain - concepts, strategies and case studies. Tata McGraw-Hill, New York.
Steckel, J.H., Gupta, S., & Banerji, A. (2004). Supply chain decision making: will shorter cycle times and shared point-of-sale information necessarily help? Management Science, 50(4), 458-464.
Sterman, J.D. (1989). Modeling managerial behaviour: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3), 321-339.
Sterman, J.D. (2009). The Beer Game”, Available from: http://web.mit.edu/jsterman/www/SDG/beergame.html [Accessed 1 May 2009].
Sucky, E. (2009). The bullwhip effect in supply chains – An overestimated problem? International Journal of Production Economics, 118(1), 311-322.
Tan, T., Gullu, R., & Erkip, N. (2007). Modelling imperfect advance demand information and analysis of optimal inventory policies. European Journal of Operational Research, 177(2), 897-923.
Taylor, D.H. (2000). Demand amplification: has it got us beat? International Journal of Physical Distribution & Logistics Management, 30(6), 515-533.
Terwiesch, C., Ren, Z.J., Ho, T.H., & Cohen, M.A. (2005). An empirical analysis of forecast sharing in the semiconductor equipment supply chain. Management Science, 51(2), 208-220.
Tokar, T. (2010). Behavioural research in logistics and supply chain management. The International Journal of Logistics Management, 21(1), 89-103.
Wadhwa, S., Bibhushan, & Chan, F. T. (2009). Inventory performance of some supply chain inventory policies under impulse demands. International Journal of Production Research, 47(12), 3307-3332.
Wang, X., Liu, Z., Zheng, C., & Quan, C. (2008). The impact of Lead time on bullwhip effect in supply chain. IEEE transactions, 3, 93-97.
Wright, D., & Yuan, X. (2008). Mitigating the bullwhip effect by ordering policies and forecasting methods. International Journal of Production Economics, 113(2), 587-597.
Wu, D.Y., & Katok, E. (2006). Learning, communication and bullwhip effect. Journal of Operations Management, 24(6), 839-850.
Zymelman, M. (1965). A stabilization policy for the cotton textile cycle. Management Science, 11(5), 572-580.