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Supply Chain Analytics: Overview, Emerging Issues, and Research Outlook

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The Palgrave Handbook of Supply Chain Management

Abstract

Supply chains (SCs) produce vast amounts of data from sourcing raw materials to manufacturing to consumption to returns. Supply chain analytics (SCA) helps organizations (profit or non-profit) to make faster, smarter, and more effective and efficient decisions. However, SCA requires advanced technology adoption, an organizational skill set, and a culture that embraces data-driven decision-making. In contemporary SC operations, a highly sought-after approach, analytics provides description, prediction, and prescription of the problems faced. Emerging intelligent technologies, such as the internet of things, blockchain, physical internet, and artificial intelligence that support SCA, can be utilized in almost every sector, including humanitarian and business logistics, procurement, marketing, pricing, and sustainable supply chain management. This chapter overviews the scaffolding concepts behind SCA. It offers a framework for bringing various stages of an SC to collaborate in data sharing, planning, and executing SC decisions at the operational, tactical, and strategic levels. It offers findings and managerial implications from the state-of-the-art literature and best industrial practices while focusing on SCA’s current concerns and research opportunities.

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Acknowledgments

The authors thank the editor Dr. Joseph Sarkis and the reviewers for their constructive feedback. This research received the financial support from CRSSCA – Centre for Research in Sustainable Supply Chain Analytics at Dalhousie University, Canada (CRSSCA #68513-220001-SCR).

Author information

Authors and Affiliations

  1. Faculty of Management, Dalhousie University, Halifax, NS, Canada

    M. Ali Ülkü

  2. Sobey School of Business, Saint Mary’s University, Halifax, NS, Canada

    Bahareh Mansouri

  3. CRSSCA – Centre for Research in Sustainable Supply Chain Analytics, Dalhousie University, Halifax, NS, Canada

    M. Ali Ülkü & Bahareh Mansouri

Authors
  1. M. Ali Ülkü
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  2. Bahareh Mansouri
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Correspondence to M. Ali Ülkü .

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  1. Business School, Worcester Polytechnic Institute, Worcester, MA, USA

    Joseph Sarkis

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© 2023 The Author(s), under exclusive licence to Springer Nature Switzerland AG

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Ülkü, M.A., Mansouri, B. (2023). Supply Chain Analytics: Overview, Emerging Issues, and Research Outlook. In: Sarkis, J. (eds) The Palgrave Handbook of Supply Chain Management. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-89822-9_80-1

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  • DOI: https://doi.org/10.1007/978-3-030-89822-9_80-1

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  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-030-89822-9

  • Online ISBN: 978-3-030-89822-9

  • eBook Packages: Springer Reference Business and ManagementReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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