Journal of Supply Chain Management Systems

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Factors Affecting Bullwhip Effect:Indian Sectoral Study


Affiliations
1 School of Information Technology, Vivekananda Institute of Professional Studies, New Delhi, India
2 School of Management Studies, Indira Gandhi National Open University, Maidan Garhi, New Delhi, India
     

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Amplification of demand, as we move up (from customer to supplier) in a supply chain, is considered as the bullwhip effect. It causes inefficiencies in the supply chain as the entire supply chain gets disturbed due to demand amplification. It results in either overproduction or shortage at each echelon present in the supply chain. Huge amount of research is available to mitigate the bullwhip effect in supply chain management. The reasons for the occurrence of bullwhip effect vary from sector to sector. Bullwhip effect has already been explored within the organisation as well as between the organisations. The present study examines the various factors that cause a bullwhip effect in 10 different Indian sectors. It has been found that the bullwhip effect varies from sector to sector, and the factors that are causing bullwhip effect also vary from sector to sector with a differently explained variability. Further, factor analysis is performed on selected sectors to see how these factors vary among the companies that are having bullwhip effect from those which are not having the bullwhip effect.

Keywords

Bullwhip Effect, Mitigation of Bullwhip Effect, Factor Affecting Bullwhip Effect, Supply Chain Management.
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  • Akyuz, G. A., & Erkan, T. E. (2010). Supply chain performance measurement: A literature review. International Journal of Production Research, 48(17), 5137-5155.

  • Burbidge, J. L. (1991). Period batch control (PBC) with GT - The way forward from MRP. Paper presented at the BPCIS Annual Conference, Birmingham.

  • Cachon, G. P., Randall, T., & Schmidt, G. M. (2007). In search of the bullwhip effect. Manufacturing and Service Operations Management, 9, 457-479.

  • Cagnazzo, L., Taticchi, P., & Brun, A. (2010). The role of performance measurement systems to support quality improvement initiatives at supply chain level. International Journal of Productivity and Performance Management, 59(2), 163-185.

  • Cannella, S., Povoa, A. B., Framinan, J., & Relvas, S. (2013). Metrics for bullwhip effect analysis. Journal of the Operational Research Society, 64, 1-16.

  • Chang, T.-H., Fu, H.-P., Lee, W.-I., Lin, Y., & Hsueh, H.-C. (2007). A study of an augmented CPFR model for the 3C retail industry. Supply Chain Management: An International Journal, 12, 200-209.

  • Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Science, 46(3), 436-443.

  • Chen, I. J., & Paulraj, A. (2004). Understanding supply chain management: Critical research and a theoretical framework. International Journal of Production Research, 42(1), 131-163.

  • Chiang, C.-Y., Lin, W. T., & Nallan, S. C. (2016). An empirically-simulated investigation of the impact of demand forecasting on the bullwhip effect: Evidence from U.S. auto-industry. International Journal of Production Economics, 177, 53-65.

  • Christopher, M. (1994). Logistics and supply chain management. London, UK: Pitman Publishing.

  • Christopher, M. G. (1992). Logistics and supply chain management. Pitman Publishing, London, UK.

  • Disney, S. M., Farasyn, I., Lambrecht, M. R., Towill, D. R., & Velde, W. V. D. (2007). Controlling bullwhip and inventory variability with the golden smoothing rule. European Journal of Industrial Engineering, 1, 241-265.

  • 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, 199-215.

  • Dominguez, R., Cannella, S. S., & Framinan, J. M. (2015). The impact of the supply chain structure on bullwhip effect. Applied Mathematical Modelling, 39(23), 7309-7325.

  • Duc, T. T., Luong, H. T., & Kim, Y.-D. (2008). A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process. European Journal of Operational Research, 187, 243-256.

  • Fisher, M. L. (1997). What is the right supply chain for your product?. Harvard Business Review (MarchApril), 105-116.

  • Forrester, J. W. (1961). Industrial dynamics - A major breakthrough for decision makers. Harvard Business Review, 4, 37-66.

  • Fransoo, J. C., & Wouters, M. J. (2000). Measuring the bullwhip effect in supply chain. Supply Chain Management: An International Journal, 5(2), 78-89.

  • Geary, S., Disney, S. M., & Towill, D. R. (2006). On bullwhip in supply chains-historical review, present practice and expected future impact. International Journal of Production Economics, 101, 2-18.

  • Green, K. W., McGaughey, R., & Casey, K. M. (2006). Does supply chain management strategy mediate the association between market orientation and organizational performance?. Supply Chain Management: An International Journal, 11(5), 407-414.

  • Hamister, J. W., & Suresh, N. C. (2008). The impact of pricing policy on sales variability in a supermarket retail context. International Journal of Production Economics, 111, 441-455.

  • Houlihan, J. B. (1987). International supply chain management. International Journal of Physical Distribution & Logistics Management, 17, 51-66.

  • Hull, B. (2005). The role of elasticity in supply chain performance. International Journal of Production Economics, 98, 301-314.

  • Isaksson, O. H., & Seifert, R. W. (2016). Quantifying the bullwhip effect using two-echelon data: Acrossindustry empirical investigation. International Journal of Production Economics, 171, 311-320.

  • Jones, M. R., & Towill, D. R. (1997). Information enrichment: Designing the supply chain for competitive advantage. Supply Chain Management, 2(4), 137-149.

  • Jin, M., DeHoratius, N., & Schmidt, G. (2017). Want to reduce the bullwhip? Measure it. Here’s how. Supply Chain Management: An International Journal, 22, 297-304.

  • Kaipia, R., Korhonen, H., & Hartiala, H. (2006). Planning nervousness in a demand supply network: An empirical study. The International Journal of Logistics Management, 17, 95-113.

  • Kelepouris, T., Miliotis, P., & Pramatari, K. (2008). The impact of replenishment parameters and information sharing on the bullwhip effect: A computational study. Computers & Operations Research, 35, 3657-3670.

  • Lamming, R., & Hampson, J. (1996). The environment as a supply chain management issue. British Journal of Management, 7(Special Issue), 45-62.

  • Lee, H. L., & Billington, C. (1992). Managing supply chain inventory: Pitfalls and opportunities. Sloan Management Review, 33(3), 65-73.

  • Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546-558.

  • Li, C. (2013). Controlling the bullwhip effect in a supply chain system with constrained information flows. Applied Mathematical Modelling, 37, 1897-1909.

  • Lummus, R. R., Duclos, L. K., & Vokurka, R. J. (2003). The impact of marketing initiatives on the supply chain. Supply Chain Management: An International Journal, 8(4), 317-323.

  • Macbeth, D. K., Ferguson, N., & Neil, G. (1992). Developing customer-supplier relationships. First PSERG Conference, Glasgow.

  • Mackelprang, A. W., & Malhotra, M. K. (2015). The impact of bullwhip on supply chains: Performance pathways, control mechanisms, and managerial levers. Journal of Operations Management, 36, 15-32.

  • Mahmoudi, J., & Lamothe, J. (2006). Risk analysis for corporation policies benefits in reducing the bullwhip effect. IFAC Proceedings Volumes, 39(3), 585-590.

  • Mela, C. F., Jedidi, K., & Bowma, D. (1998). The long term impact of promotions on consumer stockpiling behaviour. Journal of Marketing Research, 35(2), 250-262.

  • Metters, R. (1997). Quantifying the bullwhip effect in supply chains. Journal of Operations Management, 15(2), 89-100.

  • Neslin, S. A. (1990). A market response model for coupon promotions. Marketing Science, 9(2), 125-145.

  • New, S. J., & Payne, P. (1995). Research frameworks in logistics: Three models, seven dinners and a survey. International Journal of Physical Distribution and Logistics Management, 25(10), 60-77.

  • Paik, S.-K., & Bagchi, P. K. (2007). Understanding the causes of the bullwhip effect in supply chain. International Journal of Retail & Distribution Management, 35, 308-324.

  • Ravichandran, N. (2006). Managing bullwhip effect: Two case studies. Indian Institute of Management, Ahmedabad, W.P. No 2006-08-01, 1-20.

  • Seles, B. M., Jabbour, A. B., Jabbour, C. J., & Dangelico, R. M. (2016). The green bullwhip effect, the diffusion of green supply chain practices, and institutional pressures: Evidence from the automotive sector. International Journal of Production Economics, 182, 342-355.

  • Sterman, J. (1989). Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making. Management Science, 35, 321-339.

  • Tangsucheeva, R., & Prabhu, V. (2013). Modeling and analysis of cash-flow bullwhip in supply chain. International Journal of Production Economics, 145(1), 431-447.

  • Tsai, C. Y. (2008). On supply chain cash flow risks. Decision Support System, 44, 1031-1042.

  • Vickery, S. K., Jayaram, J., Droge, C., & Calantone, R. (2003). The effects of an integrative supply chain strategy on customer service and financial performance: An analysis of direct versus indirect relationships. Journal of Operations Management, 21, 523-539.

  • West, K. D. (1986). A variance bounds test of the linear quadratic inventory model. Journal of Political Economy, 94(2), 374-401.


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  • Factors Affecting Bullwhip Effect:Indian Sectoral Study

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Authors

Sachin Gupta
School of Information Technology, Vivekananda Institute of Professional Studies, New Delhi, India
Anurag Saxena
School of Management Studies, Indira Gandhi National Open University, Maidan Garhi, New Delhi, India

Abstract


Amplification of demand, as we move up (from customer to supplier) in a supply chain, is considered as the bullwhip effect. It causes inefficiencies in the supply chain as the entire supply chain gets disturbed due to demand amplification. It results in either overproduction or shortage at each echelon present in the supply chain. Huge amount of research is available to mitigate the bullwhip effect in supply chain management. The reasons for the occurrence of bullwhip effect vary from sector to sector. Bullwhip effect has already been explored within the organisation as well as between the organisations. The present study examines the various factors that cause a bullwhip effect in 10 different Indian sectors. It has been found that the bullwhip effect varies from sector to sector, and the factors that are causing bullwhip effect also vary from sector to sector with a differently explained variability. Further, factor analysis is performed on selected sectors to see how these factors vary among the companies that are having bullwhip effect from those which are not having the bullwhip effect.

Keywords


Bullwhip Effect, Mitigation of Bullwhip Effect, Factor Affecting Bullwhip Effect, Supply Chain Management.

References