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International Journal of Production Research Volume 44, 2006 - Issue 24
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Original Articles

An application of cost-effective fuzzy inventory controller to counteract demand fluctuation caused by bullwhip effect

Guangyu Xiong Logistics Systems Research Group, University of Vaasa, P.O. Box 700, FIN-65200, Vaasa, FinlandCorrespondence[email protected]
&
Petri Helo† Logistics Systems Research Group, University of Vaasa, P.O. Box 700, FIN-65200, Vaasa, FinlandView further author information
Pages 5261-5277 | Received 01 Jan 2006, Published online: 22 Feb 2007

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Francisco Campuzano-Bolarín, Josefa Mula & David Peidro. (2013) An extension to fuzzy estimations and system dynamics for improving supply chains. International Journal of Production Research 51:10, pages 3156-3166.
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Matloub Hussain & Hussein Saber. (2012) Exploring the bullwhip effect using simulation and Taguchi experimental design. International Journal of Logistics Research and Applications 15:4, pages 231-249.
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K. Agyapong-Kodua, B.M. Wahid & R.H. Weston. (2011) Towards the derivation of an integrated process cost-modelling technique for complex manufacturing systems. International Journal of Production Research 49:24, pages 7361-7377.
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Matteo Coppini, Chiara Rossignoli, Tommaso Rossi & Fernanda Strozzi. (2010) Bullwhip effect and inventory oscillations analysis using the beer game model. International Journal of Production Research 48:13, pages 3943-3956.
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Articles from other publishers (14)

Yasser A. Davizon, Jesus Mateo Amillano-Cisneros, Jose Belisario Leyva-Morales, Eric D. Smith, Jaime Sanchez-Leal & Neale R. Smith. (2023) Mathematical Modeling of Dynamic Supply Chains Subject to Demand Fluctuations. Engineering, Technology & Applied Science Research 13:6, pages 12360-12365.
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Omkar Mypati, Avishek Mukherjee, Debasish Mishra, Surjya Kanta Pal, Partha Pratim Chakrabarti & Arpan Pal. (2023) A critical review on applications of artificial intelligence in manufacturing. Artificial Intelligence Review 56:S1, pages 661-768.
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Chonnikarn Luangpituksa. 2022. Global Air Transport Management and Reshaping Business Models for the New Era. Global Air Transport Management and Reshaping Business Models for the New Era 272 288 .
R.S. Mishra, Rakesh Kumar, Siddhant Dhingra, Suryansu Sengupta, Tushar Sharma & Girish Dutt Gautam. (2022) Adaptive grey model (AGM) approach for judgemental forecasting in short-term manufacturing demand. Materials Today: Proceedings 56, pages 3740-3746.
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Francisco Campuzano-Bolarín, Josefa Mula & David Peidro. 2014. Supply Chain Management Under Fuzziness. Supply Chain Management Under Fuzziness 227 241 .
Umut Tosun, Tansel Dokeroglu & Ahmet Cosar. (2013) A New Parallel Genetic Algorithm for Reducing the Bullwhip Effect in an Automotive Supply Chain. IFAC Proceedings Volumes 46:9, pages 70-74.
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Matloub Hussain, Paul R. Drake & Dong Myung Lee. (2012) Quantifying the impact of a supply chain's design parameters on the bullwhip effect using simulation and Taguchi design of experiments. International Journal of Physical Distribution & Logistics Management 42:10, pages 947-968.
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Ying Xie. (2012) Measuring Bullwhip Effect in a Single Echelon SupplyChain Using Fuzzy Approach. International Journal of Innovation, Management and Technology.
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Matloub Hussain & Paul R. Drake. (2011) Analysis of the bullwhip effect with order batching in multi‐echelon supply chains. International Journal of Physical Distribution & Logistics Management 41:10, pages 972-990.
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Matloub Hussain & Paul R. Drake. (2011) Analysis of the bullwhip effect with order batching in multi‐echelon supply chains. International Journal of Physical Distribution & Logistics Management 41:8, pages 797-814.
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Ranjan Bhattacharya & Susmita Bandyopadhyay. (2010) A review of the causes of bullwhip effect in a supply chain. The International Journal of Advanced Manufacturing Technology 54:9-12, pages 1245-1261.
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Ju-Hua MO, Min HUANG & Xing-Wei WANG. (2011) Application of a Pull Strategy Based on Fuzzy Control for Production Control of Assembly Line. Acta Automatica Sinica 37:1, pages 118-122.
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K. Maity. (2011) Possibility and necessity representations of fuzzy inequality and its application to two warehouse production-inventory problem. Applied Mathematical Modelling 35:3, pages 1252-1263.
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C.Y. Lam & W.H. Ip. (2011) A customer satisfaction inventory model for supply chain integration. Expert Systems with Applications 38:1, pages 875-883.
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