The study of Bullwhip Effect on Changes in Demand and Supply Chain Case Study: Spinning and Weaving Company of Behris


Hossein Janatifar , Azadeh Rezaei , Sayed Pourya Baghi ,

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Volume 4 - October 2015 (10)


The purpose of this study was to investigate the bullwhip effect in supply chain demand changes of spinning and weaving company in Behris. This research has the objective correlative research performed in this field. The population of the research staff of the Behris is 210 of. The population size of 136 individuals was selected by Morgan. The survey questionnaire was used to collect data. Also, the validity and reliability of the questionnaire by the professors are determined by Cronbach's alpha was calculated. Coefficient obtained from the questionnaire was confirmed 0.81.  The data obtained from the questionnaire using SPSS computer software partitioning analysis is the study of descriptive and using student t-test and Friedman are tested. The alpha level was considered as 0.05. The results showed that all six of the bullwhip effect, including an updated forecast demand, those orders, plays shortages, changes in price, and the expected waiting time of the data. The variability of demand in the supply chain of spinning and weaving of Behris has a significant effect. The Friedman test was found that changes in the price of the more important aspects. And the least important data expected later in the staff


bullwhip, variability, demand, supply chain


         i.        Nazari, Leila, MT Taghva Fard, (2012), Measurement of three-stage supply chain whip phenomenon with more than one product using the vector auto regression, First National Conference on Industrial Engineering and Systems, University of Najaf Abad, 29 and 30 Azar.

ii.      Jaipuria, S., & Mahapatra, S. S. (2014). An improved demand forecasting method to reduce bullwhip effect in supply chains. Expert Systems with Applications, 41(5), 2395-2408.

iii.    Trapero, J. R., Garc, F. P., & Kourentzes, N. (2014, January). Impact of demand nature on the bullwhip effect. Bridging the gap between theoretical and empirical research. In Proceedings of the Seventh International Conference on Management Science and Engineering Management (pp. 1127-1137). Springer Berlin Heidelberg.

iv.     Lee, S. Y., Klassen, R. D., Furlan, A., & Vinelli, A. (2014). The green bullwhip effect: Transferring environmental requirements along a supply chain. International Journal of Production Economics, 156, 39-51.

v.       Garg, S., & Srinivasan, S. (2014). Bullwhip effect reduction through multi-agent system using Jade tool. International Journal of Advanced Research in IT and Engineering, 3(2), 54-68.

vi.     Tanweer, A., Li, Y. Z., Duan, G., & Song, J. Y. (2014). An Optimization Model for Mitigating Bullwhip-effect in a Two-echelon Supply Chain. Procedia-Social and Behavioral Sciences, 138, 289-297.

vii.   Costas, J., Ponte, B., de la Fuente, D., Pino, R., & Puche, J. (2015). Applying Goldratt’s Theory of Constraints to reduce the Bullwhip Effect through agent-based modeling. Expert Systems with Applications, 42(4), 2049-2060.

viii. Akbari, H., & Zanjani, H. J.(2015) Impact Assessment Provider on the Performance of Supply Chain Management.

ix.     Pereira, C.R ,  Christopher, M , Andrea Lago Da Silva , (2014) "Achieving supply chain resilience:  the role of procurement", Supply Chain Management: An International Journal, Vol. 19 Iss: 5/6, pp.626 – 642

x.       Torabi, M., Krishna Zamani, (2013), analytic hierarchy process model for the evaluation and selection of suppliers, First International Conference on Management Challenges and Solutions, Shiraz 2013

xi.     Toloee, Ali, Muhammad Bashokoh, Maryam Amiri, Ali, Pakizeh, (2013), examining factors affecting supply chain management and its achievements in the sugar industry, the first International Conference on Management Challenges and Solutions, Shiraz 2013

xii.   Christopher, Martin; Peck, Helen. (2004). Building the Resilient Supply Chain.   International Journal of Logistics Management, Vol. 15 Issue 2, p1-13

xiii. Fransoo, J. and Wouters, M.J.F. (2000), Measuring the bullwhip effect in the supply chain, Supply Chain Management: An International Journal, 5, pp. 78-89

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

xv.   Svensson, G. (2015). The Bullwhip Effect: Refined and Redefined. In Assessing the Different Roles of Marketing Theory and Practice in the Jaws of Economic Uncertainty (pp. 240-240). Springer International Publishing.

xvi. Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M. (2015). SPC forecasting     system to mitigate the bullwhip effect and inventory variance in supply chains. Expert Systems with Applications, 42(3), 1773-1787

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