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book chapter · Advances in logistics, operations, and management science book series

Data-Driven Logistics Optimization

Abstract

In today's rapidly evolving business landscape, the digital transformation of supply chain management has become imperative for organizations seeking to remain competitive and responsive to market demands. This chapter provides a comprehensive exploration of data-driven logistics optimization and its pivotal role in powering the digital supply chain. This chapter begins with an overview of digital transformation in supply chain management and lays the groundwork by elaborating on the fundamental principles underlying logistics optimization. Drawing on real-world case studies, this chapter examines how organizations leverage data-driven insights to optimize logistics activities and enhance decision-making processes in response to supply chain disruptions. A documentary analysis, which involved critically reviewing academic books, articles, journals, and websites on data-driven logistics, was conducted. In addition, thematic analysis was employed to identify and develop key thematic insights. Furthermore, the study findings provide areas for future research.

Research topics

  • Big Data and Business Intelligence
  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems

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DOI: 10.4018/979-8-3693-6205-1.ch003

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