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Artificial Intelligence Computing and Nature-Inspired Optimization Techniques for Effective Supply Chain Management

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Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management

Part of the book series: Inventory Optimization ((IO))

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Abstract

The artificial intelligence (AI) and nature-inspired optimization (NIO) techniques can be used to reduce the impact of supply chain disruptions. Nowadays, AI is one of the highly demanded techniques that may be leveraged to increase supply chain and inventory resilience. The present study facilitates the overview of many critical areas of supply chain where AI can help in improving the flexibility of nature-inspired optimization techniques, assuring delivery to the final mile, providing personalized solutions to the stakeholders in upstream and downstream supply chains and many more. The basic AI-based models for supply chain as well as inventory system have been outlined to present state of art of the concerned topic. The usefulness of AI and NIO to speed up the availability of items just in time, optimal delivery process for logistic of items and future scope have been highlighted.

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Authors and Affiliations

  1. Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Madhu Jain & Nidhi Sharma

  2. University of Maryland Eastern Shore, Princess Anne, MD, USA

    Dinesh K. Sharma

Authors
  1. Madhu Jain
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  2. Dinesh K. Sharma
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  3. Nidhi Sharma
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Corresponding author

Correspondence to Nidhi Sharma .

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Editors and Affiliations

  1. Department of Business, Management and Accounting, University of Maryland Eastern Shore, Princess Anne, MD, USA

    Dinesh K. Sharma

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Madhu Jain

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Jain, M., Sharma, D.K., Sharma, N. (2022). Artificial Intelligence Computing and Nature-Inspired Optimization Techniques for Effective Supply Chain Management. In: Sharma, D.K., Jain, M. (eds) Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management. Inventory Optimization. Springer, Singapore. https://doi.org/10.1007/978-981-19-6337-7_4

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