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Gupta, Sachin
- Factors Affecting Bullwhip Effect:Indian Sectoral Study
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Affiliations
1 School of Information Technology, Vivekananda Institute of Professional Studies, New Delhi, IN
2 School of Management Studies, Indira Gandhi National Open University, Maidan Garhi, New Delhi, IN
1 School of Information Technology, Vivekananda Institute of Professional Studies, New Delhi, IN
2 School of Management Studies, Indira Gandhi National Open University, Maidan Garhi, New Delhi, IN
Source
Journal of Supply Chain Management Systems, Vol 8, No 3 (2019), Pagination: 1-12Abstract
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
- 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.
- A Study of Change in Bullwhip Effect:An Indian Sectoral Study
Abstract Views :239 |
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Authors
Affiliations
1 Appiled Mathematics, Vivekanada Institute of Professional Studies, Pitampura, New Delhi, Affiliated to GGSIP University, IN
2 Operations and Supply Chain Management, School of Managment Studies, IGNOU, IN
1 Appiled Mathematics, Vivekanada Institute of Professional Studies, Pitampura, New Delhi, Affiliated to GGSIP University, IN
2 Operations and Supply Chain Management, School of Managment Studies, IGNOU, IN
Source
Journal of Supply Chain Management Systems, Vol 8, No 2 (2019), Pagination: 24-31Abstract
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.References
- 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.
- Countering Bullwhip Effect in Supply Chain Management: A Literature Review
Abstract Views :150 |
PDF Views:0
Authors
Affiliations
1 AIMA PhD Programme, IN
2 IGNOU, IN
3 Operations and Supply Chain Management, IGNOU, IN
4 Vivekananda Institute of Professional Studies, New Delhi, IN
1 AIMA PhD Programme, IN
2 IGNOU, IN
3 Operations and Supply Chain Management, IGNOU, IN
4 Vivekananda Institute of Professional Studies, New Delhi, IN