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Supply chain analytics

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  • Souza, Gilvan C.

Abstract

In this article, I describe the application of advanced analytics techniques to supply chain management. The applications are categorized in terms of descriptive, predictive, and prescriptive analytics and along the supply chain operations reference (SCOR) model domains plan, source, make, deliver, and return. Descriptive analytics applications center on the use of data from global positioning systems (GPSs), radio frequency identification (RFID) chips, and data-visualization tools to provide managers with real-time information regarding location and quantities of goods in the supply chain. Predictive analytics centers on demand forecasting at strategic, tactical, and operational levels, all of which drive the planning process in supply chains in terms of network design, capacity planning, production planning, and inventory management. Finally, prescriptive analytics focuses on the use of mathematical optimization and simulation techniques to provide decision-support tools built upon descriptive and predictive analytics models.

Suggested Citation

  • Souza, Gilvan C., 2014. "Supply chain analytics," Business Horizons, Elsevier, vol. 57(5), pages 595-605.
    • Handle: RePEc:eee:bushor:v:57:y:2014:i:5:p:595-605
    DOI: 10.1016/j.bushor.2014.06.004
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    References listed on IDEAS

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    1. Stephen C. Graves & Sean P. Willems, 2000. "Optimizing Strategic Safety Stock Placement in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 2(1), pages 68-83, June.
    2. Arouri, Mohamed & Teulon, Frédéric & Rault, Christophe, 2013. "Equity risk premium and regional integration," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 79-85.
    3. Julie Ward & Bin Zhang & Shailendra Jain & Chris Fry & Thomas Olavson & Holger Mishal & Jason Amaral & Dirk Beyer & Ann Brecht & Brian Cargille & Russ Chadinha & Kathy Chou & Gavin DeNyse & Qi Feng & , 2010. "HP Transforms Product Portfolio Management with Operations Research," Interfaces, INFORMS, vol. 40(1), pages 17-32, February.
    4. Krishna, Vijay, 2009. "Auction Theory," Elsevier Monographs, Elsevier, edition 2, number 9780123745071.
    5. Wenbin Wang & Mark E. Ferguson & Shanshan Hu & Gilvan C. Souza, 2013. "Dynamic Capacity Investment with Two Competing Technologies," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 616-629, October.
    6. Ingrid Farasyn & Salal Humair & Joel I. Kahn & John J. Neale & Oscar Rosen & John Ruark & William Tarlton & Wim Van de Velde & Glenn Wegryn & Sean P. Willems, 2011. "Inventory Optimization at Procter & Gamble: Achieving Real Benefits Through User Adoption of Inventory Tools," Interfaces, INFORMS, vol. 41(1), pages 66-78, February.
    7. Hau L. Lee, 1996. "Effective Inventory and Service Management Through Product and Process Redesign," Operations Research, INFORMS, vol. 44(1), pages 151-159, February.
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