List of Articles Bullwhip Effect

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  1 - A hybrid fuzzy multiple attribute decision making approach for identification and ranking influencing factors on Bullwhip Effect in supply chain: real case of Steel ‎industry‎
  N. Pilevari M. Hasanzade M. Shahriari
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  2 - Analyzing the Drivers of Bullwhip Effect in Pharmaceutical Industry’s Supply Chain
  Parvaneh Tavakkol Bijan Nahavandi Mahdi Homayounfar
  10.30495/jsm.2022.1966147.1691
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  3 - Determining the optimal forecasting combination of the four-level supply chain to minimize the bullwhip effect
  Maryam Daneshmand-Mehr Marzban Najafi Ramin Sadeghian
  Bullwhip effect that occurs in the chain, leads to inefficiencies such as excess inventory and overdue orders during the chain. These problems can be reduced by appropriate predictions. Forecasting must be done in all levels of a supply chain. This paper addresses the p More

  Bullwhip effect that occurs in the chain, leads to inefficiencies such as excess inventory and overdue orders during the chain. These problems can be reduced by appropriate predictions. Forecasting must be done in all levels of a supply chain. This paper addresses the problem of optimal combination of forecasting to reduce the bullwhip effect in the four-level supply chain. For this purpose, a four-level supply chain is considered. One of the methods such as moving average, exponential smoothing, linear regression and multilayer perceptron artificial neural network can be considered for predicting in each level. First, the desired supply chain is simulated for this means. The different combinations of aforementioned forecasting methods are calculated. Then a combination of forecasting methods according to minimized bullwhip effects is selected. Finally, the results are analyzed by variance analysis model. Two combinations have the lowest bullwhip effects. Moving average, neural networks, exponential smoothing and linear regression for levels: retailer, wholesaler, manufacturer and supplier respectively as an answer and the other is: moving averages, exponential smoothing, neural network and linear regression in the same mentioned levels and other combinations have less utility. Manuscript profile
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  4 - Controlling the Bullwhip Effect in a Supply Chain Network with an Inventory Replenishment Policy by a Robust Control Method
  mahdi Ghaffari Nikbakhsh Javadian Reza Tavakkoli-Moghaddam
  10.22094/joie.2014.283
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  5 - The Design of Inverse Network DEA Model for Measuring the Bullwhip Effect in Supply Chains with Uncertain Demands
  Sajjad Aslani Khiavi Simin Skandari
  10.22094/joie.2020.1885077.1703
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  6 - A dynamics approach for modeling inventory fluctuations of the pharmaceutical supply chain in covid 19 pandemic
  Parvaneh Tavakol Bijan Nahavandi Mahdi Homayounfar
  10.22094/joie.2023.1966193.1981
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  7 - Measuring and Analyzing the Bullwhip Effect in a Two-Product and Two Echelon Supply Chain Using Control Theory Approach
  Ahmad Sadeghi
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  8 - A New Hybrid Prediction Reduces the Bullwhip Effect of Demand in a Three-level Supply Chain
  Afshin Yousefi Ayub Rahimzadeh Alireza Moradi
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