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Original Articles

Supply chain dynamics: analysis of inventory vs. order oscillations trade-off

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Pages 1037-1054 | Received 01 Aug 2005, Published online: 22 Feb 2007

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (12)

Dmitry Ivanov. (2017) Simulation-based ripple effect modelling in the supply chain. International Journal of Production Research 55:7, pages 2083-2101.
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Dmitry Ivanov, Scott J. Mason & Richard Hartl. (2016) Supply chain dynamics, control and disruption management. International Journal of Production Research 54:1, pages 1-7.
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Sanjay Sharma & Aditya Malhotra. (2015) Safety stock calculations and inventory analysis: a practical approach for the FMCG case in a South-East Asian country. International Journal of Advanced Logistics 4:3, pages 131-144.
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Salvatore Cannella, Jose M. Framinan & Ana Barbosa-Póvoa. (2014) An IT-enabled supply chain model: a simulation study. International Journal of Systems Science 45:11, pages 2327-2341.
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Roberto Dominguez, Jose M. Framinan & Salvatore Cannella. (2014) Serial vs. divergent supply chain networks: a comparative analysis of the bullwhip effect. International Journal of Production Research 52:7, pages 2194-2210.
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Dmitry Ivanov, Boris Sokolov & Alexandre Dolgui. (2014) The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management. International Journal of Production Research 52:7, pages 2154-2172.
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Dmitry Ivanov, Boris Sokolov & Alexander Pavlov. (2013) Dual problem formulation and its application to optimal redesign of an integrated production–distribution network with structure dynamics and ripple effect considerations. International Journal of Production Research 51:18, pages 5386-5403.
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D. Bijulal, Jayendran Venkateswaran & N. Hemachandra. (2011) Service levels, system cost and stability of production–inventory control systems. International Journal of Production Research 49:23, pages 7085-7105.
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Alex J. Ruiz-Torres & Farzad Mahmoodi. (2010) Safety stock determination based on parametric lead time and demand information. International Journal of Production Research 48:10, pages 2841-2857.
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Vinaya Shukla, Mohamed M Naim & Ehab A Yaseen. (2009) ‘Bullwhip’ and ‘backlash’ in supply pipelines. International Journal of Production Research 47:23, pages 6477-6497.
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Sang M. Lee, David L. Olson, Sang-Heui Lee, Taewon Hwang & MattS. Shin. (2008) Entrepreneurial applications of the lean approach to service industries. The Service Industries Journal 28:7, pages 973-987.
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H. Yan, S.-L. Tang & G. Yen. (2008) Quick response procurement cost control strategy for fabric manufacturing. International Journal of Production Research 46:17, pages 4769-4784.
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Virginia L.M. Spiegler & Mohamed M. Naim. (2017) Investigating sustained oscillations in nonlinear production and inventory control models. European Journal of Operational Research 261:2, pages 572-583.
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Antuela A. Tako & Stewart Robinson. (2012) The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems 52:4, pages 802-815.
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Alex Hill, Des Doran & Roy Stratton. (2012) How should you stabilise your supply chains?. International Journal of Production Economics 135:2, pages 870-881.
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Leão José Fernandes, Ana Paula Barbosa-Póvoa & Susana Relvas. 2011. Quantitative Financial Risk Management. Quantitative Financial Risk Management 227 264 .
Jonathan F. Bard & Narameth Nananukul. (2010) A branch-and-price algorithm for an integrated production and inventory routing problem. Computers & Operations Research 37:12, pages 2202-2217.
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Renzo Akkerman, Poorya Farahani & Martin Grunow. (2010) Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges. OR Spectrum 32:4, pages 863-904.
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Salvatore Cannella, Elena Ciancimino, José David Canca Ortiz & Rossitza Setchi. 2010. Business Information Systems. Business Information Systems 291 303 .
Jonathan F. Bard & Narameth Nananukul. (2009) Heuristics for a multiperiod inventory routing problem with production decisions. Computers & Industrial Engineering 57:3, pages 713-723.
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David Peidro, Josefa Mula, Raúl Poler & Francisco-Cruz Lario. (2008) Quantitative models for supply chain planning under uncertainty: a review. The International Journal of Advanced Manufacturing Technology 43:3-4, pages 400-420.
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Jonathan F. Bard & Narameth Nananukul. (2008) The integrated production–inventory–distribution–routing problem. Journal of Scheduling 12:3, pages 257-280.
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