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logistics lifecycle

Big Data in Logistics

Big Data in Logistics

A holistic approach for data-driven logistics planning, monitoring and management
Norman Spangenberg, Martin Roth, Stefan Mutke, Bogdan Franczyk
Over the last years, the importance of logistics has changed significantly. While logistics used to be a core function of most companies, logistics services nowadays are often outsourced to service providers. This leads to new organizational structures and enables innovative business models. Caused by the digitalization of logistics, efforts for integration and coordination rise and can only made controllable by intelligent use of IT. This contribution examines the field of tension of logistics and IT. It shows which challenges to face and how to overcome these by using Big Data technologies.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 4 | Pages 43-47
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  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
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    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
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