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A Study of Change in Bullwhip Effect:An Indian Sectoral Study
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The amplification of demand as one move up in supply chain is considered as Bullwhip effect. Bullwhip effect creates disturbance in operations and supply chain management (OSCM). Overproduction or underproduction, unmanaged demand, short of cashin- hand to carry out operations, excessive inventory carrying cost, decrease in service level and profit are the implications of bullwhip effect which result in disturbance of the entire supply chain. Bullwhip effect is experienced among all types of products, all types of sectors and all types of supply chain in varying quantum. The present study computes the bullwhip effect among 10 different Indian sectors from past 12-year data. The study analyzes the various changes that occur within these sectors in terms of bullwhip effect and seek the improvement in the bullwhip effect from first half to second half of data within that sector. Results show that the improvement in bullwhip is not significant. Surprisingly in many sectors, the correlation of bullwhip from first half to second half is negative in nature.
Keywords
Bullwhip Effect, Bullwhip Ratio, Indian Sector Analysis, Supply Chain Management.
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- Blanchard, O. J. (1983). The production and inventory behavior of the American automobile industry. Journal of Political Economy, 91(31), 365-400.
- Cachon, G. P., Randall, T., & Schmidt, G. M. (2007).In search of the bullwhip effect. Manufacturing and Service Operations Management, 9, 457-479.
- Cagliano, R., Caniato, F., & Spina, G. (2006). The linkage between supply chain integration and manufacturing improvement programmes. International Journal of Operations & Production Management, 26(3), 282-299.
- Caplin, A. S. (1985). The variability of aggregate demand with (S, s) inventory policies. Econometrica, 53(6), 1395-1409.
- 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.
- 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. autoindustry. Int. J. Production Economics, 177, 53-65.
- Christopher, M. (1994). Logistics and supply chain management.London, UK: Pitman Publishing.
- Derbel, M., Hachicha, W., & Masmaudi, F. (2014). A Literature survey of Bullwhip Effect (2010-2013).According to its Causes and Evaluation methods.International conference on advance logistics and transport. 987-1-4799-4839, 211-216
- Disney, S. M., & Towill, D. R. (2003). Vendor managed inventory and bullwhip reduction in a two-level supply chain. International Journal of Operations & Production Management, 23(6), 625-651.
- Forrester, J. W. (1961). Industrial dynamics - A major breakthrough for decision makers. Harv. 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.
- Hamister, J. W., & Suresh, N. C. (2008). The impact of pricing policy on sales variability in a supermarket retail context. Int. J. Production Economics, 111, 441-455.
- Hull, B. (2005). The role of elasticity in supply chain performance.Int. J. Production Economics, 98, 301-314.
- Isaksson, O. H., & Seifert, R. W. (2016). Quantifying the bullwhip effect using two-echelon data: Acrossindustryempirical investigation. Int. J. ProductionEconomics, 171, 311-320.
- Joseph, B. M., & James, N. (2018). A hybrid AHP and Taguchi loss function method for supplier selection.Journal of Supply Chain Management System, 7(4), 20-30.
- Junhai, M., & Xiaogang, M. (2017). Measure of the bullwhip effect considering the market competition between two retailers. International Journal of Production Research, 55(2), 313-326.
- Kahn, J. A. (1987). Inventories and volatility of production.The American Economic Review, 77(4), 667-679.
- 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.
- Lee, H. L., Padmanabhan, V., & Whang, S. (1997).Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546-558.
- Mahmoudi, J., & Lamothe, J. (2006). Risk analysis for corperation policies benefits in reducing the bullwhip effect. IFAC.
- McCullen, P., & Towill, D. R. (2002). Diagnosis and reduction of bullwhip in supply chains. Supply Chain Management: An International Journal, 7(3), 164-179.
- Naim, M., Aryee, G., & Potter, A. (2010). Determining a logistics provider’s flexibility capability. International Journal of Production Economics, 127(1), 39-45.
- Nienhaus, J., Ziegenbein, A., & Schoensleben, P. (2006).How human behavior 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., Mclvor, R., & Humphreys, P. (2006). Minimizing the bullwhip effect using genetic algorithm. International Journal of Production Research, 44(8), 1523-1543.
- Oliver, J., & Houlihan, J. B. (1986). Logistics Management - The Present and the Future. Proceeding BPICS Conference, (pp. 91-99).
- 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. Int. J.Production Economics, 182(2016), 342-355.
- Shekhawat, V. S. (2015). The perplexing enigma of supply chain management: literature review. Journal of Supply Chain Management System, 4(4), 45-71.
- Sterman, J. (1989). Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making. Management Science, 35, 321-339.
- Thome, A. M. T., Scavarda, L. F., Pires, S. R. I., Ceryno, P., & Klingebiel, K. (2014). A multi-tier study on supply chain flexibility in the automotive industry.International Journal of Production Economics, 158, 91-105.
- Towill, D. R., Naim, M. M., & Winker, J. (1992). Industrial dynamics simulation models in the design of supply chains. International Journal of Physical Distribution and Logistics Management, 22(5), 3-13.
- Wnag, J., Jia, J. D., Takahashi, K. (2005). A study on the impact of uncertain factors on information distortion in supply chain. Production Planning and Control, 16(1), 2-11.
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