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2017 | 78 | 209-212
Article title

Forrester’s Effect. Bullwhip effect

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Bullwhip effect term is related with supply chain. Such effect explains the fluctuation in the sales (demand), manufacturing and supply. Such term is understood as distorted demand, that increases when the supply chain is relocated to upper level [1]. Such an effect generally results from the ineffective information flow in the supply chain, what leads to the accumulation of excessive stock at particular partners. Four basic cases of the bullwhip effect can be discerned [2]: Forrester’s effect, it is related with the execution time and processing the signal on the demand level; Burbidge’s effect, it is related with grouping the orders; Houlihan’s effect, it is related with rationalisation and shortage of products; promotional effect, it is related with the fluctuation of prices. Bullwhip effect is described in this papers; general focus is made on its element, namely the Forrester’s effect.

Physical description
  • Faculty of Management, Czestochowa University of Technology, Czestochowa, Poland
  • [1] Council, Supply Chain. Supply-chain operations reference-model. Overview of SCOR version 5.0 (2008).
  • [2] Christopher, Martin. Logistics & supply chain management. Pearson UK, 2016.
  • [3] Seuring, Stefan, and Martin Müller. From a literature review to a conceptual framework for sustainable supply chain management. Journal of cleaner production 16.15 (2008) 1699-1710
  • [4] Srivastava, Samir K. Green supply‐chain management: a state‐of‐the‐art literature review. International journal of management reviews 9.1 (2007) 53-80
  • [5] Ščukanec, Anđelko, Kristijan Rogić, and Darko Babić. Bullwhip Effect'in Supply Chains. PROMET-Traffic & Transportation 19.5 (2007) 289-293
  • [6] Campuzano, Francisco, and Josefa Mula. Bullwhip effect in supply chains. Supply chain simulation. Springer London, 2011. 23-35.
  • [7] Sucky, Eric. The bullwhip effect in supply chains—An overestimated problem?. International Journal of Production Economics 118.1 (2009) 311-322
  • [8] Duc, Truong Ton Hien, Huynh Trung Luong, and Yeong-Dae Kim. A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process. European Journal of Operational Research 187.1 (2008) 243-256
  • [9] Barlas, Yaman, and Baris Gunduz. "Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains. Journal of the Operational Research Society 62.3 (2011) 458-473
  • [10] Ouyang, Yanfeng, and Xiaopeng Li. The bullwhip effect in supply chain networks." European Journal of Operational Research 201.3 (2010) 799-810
  • [11] Tayur, Sridhar, Ram Ganeshan, and Michael Magazine, eds. Quantitative models for supply chain management. Vol. 17. Springer Science & Business Media, 2012.
  • [12] Moyaux, Thierry, Brahim Chaib-draa, and Sophie D'Amours. Information sharing as a coordination mechanism for reducing the bullwhip effect in a supply chain. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 37.3 (2007) 396-409
  • [13] Bottani, Eleonora, Roberto Montanari, and Andrea Volpi. The impact of RFID and EPC network on the bullwhip effect in the Italian FMCG supply chain. International Journal of Production Economics 124.2 (2010) 426-432
  • [14] Kanda, Arun, and S. G. Deshmukh. Supply chain coordination: perspectives, empirical studies and research directions. International journal of production Economics 115.2 (2008) 316-335
  • [15] Bhattacharya, Ranjan, and Susmita Bandyopadhyay. A review of the causes of bullwhip effect in a supply chain. The International Journal of Advanced Manufacturing Technology 54.9-12 (2011) 1245-1261
  • [16] Zarandi, MH Fazel, Morteza Pourakbar, and I. B. Turksen. A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems. Expert systems with applications 34.3 (2008) 1680-1691
  • [17] Carbonneau, Real, Kevin Laframboise, and Rustam Vahidov. Application of machine learning techniques for supply chain demand forecasting. European Journal of Operational Research 184.3 (2008) 1140-1154
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Publication order reference
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