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International Journal of Production Research Volume 44, 2006 - Issue 7
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Original Articles

Estimation in supply chain inventory management

Jack C. Hayya Department of Supply Chain and Information Systems, Smeal College of Business, Pennsylvania State University, University Park, PA 16802, USACorrespondence[email protected]
,
Jeon G. Kim Young Tong Maintenance and Operation Office, Korea Highway Corporation, Youngtong-Kun, Choong Chung, Buk Do, Korea
,
Stephen M. Disney Logistics Systems Dynamics Group, Cardiff Business School, Cardiff University, Aberconway Bldg., Colum Dr, Cardiff CF10 3EU, UK
,
Terry P. Harrison Department of Supply Chain and Information Systems, Smeal College of Business, Pennsylvania State University, University Park, PA 16802, USA
&
Dean Chatfield Department of Management Science and Information Technology, Virginia Tech, 1007 Pamplin Hall (0235), Blacksburg, VA 24061, USA
Pages 1313-1330 | Received 01 Nov 2004, Published online: 22 Feb 2007

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Peng Jiang, Yibin Huang & Xiao Liu. (2021) Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry: a support vector machine model. International Journal of Production Research 59:24, pages 7423-7440.
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Dilupa Nakandala, Henry Lau & Paul K.C. Shum. (2017) A lateral transshipment model for perishable inventory management. International Journal of Production Research 55:18, pages 5341-5354.
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Dean C. Chatfield, Jack C. Hayya & David P. Cook. (2013) Stockout propagation and amplification in supply chain inventory systems. International Journal of Production Research 51:5, pages 1491-1507.
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B R Cobb. (2013) Mixture distributions for modelling demand during lead time. Journal of the Operational Research Society 64:2, pages 217-228.
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Dean C. Chatfield. (2013) Underestimating the bullwhip effect: a simulation study of the decomposability assumption. International Journal of Production Research 51:1, pages 230-244.
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P. Childerhouse, S. M. Disney & D. R. Towill. (2009) The effects of schedule volatility on supply chain performance. International Journal of Logistics Research and Applications 12:4, pages 313-328.
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Dean C. Chatfield & Jack C. Hayya. (2007) All-zero forecasts for lumpy demand: a factorial study. International Journal of Production Research 45:4, pages 935-950.
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Daniela Favaretto, Alessandro Marin & Marco Tolotti. (2023) A theoretical validation of the DDMRP reorder policy. Computational Management Science 20:1.
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Ruchi Mishra, Hemlata Gangwar & Saumyaranjan Sahoo. (2023) Role of bigdata analytics in improving drivers of omni-channel retailing for improving logistics experience. Benchmarking: An International Journal.
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Alessandro Ancarani & Carmela Di Mauro. 2023. Digitalisierung im Einkauf. Digitalisierung im Einkauf 13 26 .
Samayita Guha & Subodha Kumar. (2018) Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap. Production and Operations Management 27:9, pages 1724-1735.
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Alessandro Ancarani & Carmela Di Mauro. 2018. Digitalisierung im Einkauf. Digitalisierung im Einkauf 11 26 .
Matteo Cinelli, Giovanna Ferraro, Antonio Iovanella, Giulia Lucci & Massimiliano M Schiraldi. (2017) A network perspective on the visualization and analysis of bill of materials. International Journal of Engineering Business Management 9, pages 184797901773263.
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Gang Wang, Angappa Gunasekaran, Eric W.T. Ngai & Thanos Papadopoulos. (2016) Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics 176, pages 98-110.
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C.H. Nagaraja, A. Thavaneswaran & S.S. Appadoo. (2015) Measuring the bullwhip effect for supply chains with seasonal demand components. European Journal of Operational Research 242:2, pages 445-454.
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Dilupa Nakandala, Henry Lau & Jingjing Zhang. (2014) Optimization model for transportation planning with demand uncertainties. Industrial Management & Data Systems 114:8, pages 1229-1245.
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Dean C. Chatfield & Alan M. Pritchard. (2013) Returns and the bullwhip effect. Transportation Research Part E: Logistics and Transportation Review 49:1, pages 159-175.
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S. Kamal Chaharsooghi & Jafar Heydari. (2010) LT variance or LT mean reduction in supply chain management: Which one has a higher impact on SC performance?. International Journal of Production Economics 124:2, pages 475-481.
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Guilherme E. Vieira & Reynaldo Lemos. (2009) Understanding supply chain robustness. Understanding supply chain robustness.
Dean C. Chatfield, Terry P. Harrison & Jack C. Hayya. (2009) SCML: An information framework to support supply chain modeling. European Journal of Operational Research 196:2, pages 651-660.
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Xi Steven Yan, David J. Robb & Edward A. Silver. (2009) Inventory performance under pack size constraints and spatially-correlated demand. International Journal of Production Economics 117:2, pages 330-337.
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Ilhyung Kim & Mark Springer. (2008) Measuring endogenous supply chain volatility: Beyond the bullwhip effect. European Journal of Operational Research 189:1, pages 172-193.
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Dean C. Chatfield, Jack C. Hayya & Terry P. Harrison. (2007) A multi-formalism architecture for agent-based, order-centric supply chain simulation. Simulation Modelling Practice and Theory 15:2, pages 153-174.
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Daniela Favaretto, Alessandro Marin & Marco Tolotti. (2021) A data-driven and risk-based prudential approach to validate the DDMRP planning and control system. SSRN Electronic Journal.
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