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Supply Chain: A Modeling-Based Approach for Cyber-Physical Systems

In: Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era

Author

Listed:
  • Agota Banyai

Abstract

Within the frame of this chapter, the author focuses on the distribution processes of green supply chain solutions and describes a potential mathematical model, taking environmental aspects into consideration. The first part of the chapter includes a systematic literature review. Based on the identified research gap, a new mathematical model is described, which makes it possible to describe last-mile logistics processes from an environmental point of view. The functional model of the distribution system includes the potential of Industry 4.0 technologies, which makes it possible to gather real-time information from the distribution process and use real-time status information for a sophisticated design and operation. The mathematical model of this approach defines an NP-hard optimization problem; therefore, heuristic optimization algorithm is supposed to solve the design and operation tasks of the green distribution problem. As the computational results show, cyber-physical systems increase the performance of green supply chain solutions and have a great impact on operational cost. As the numerical example shows, the integrated approach resulted in a 5.3% cost reduction in transportation operations.

Suggested Citation

  • Agota Banyai, 2022. "Supply Chain: A Modeling-Based Approach for Cyber-Physical Systems," Chapters, in: Tamas Banyai & Agota Banyai & Ireneusz Kaczmar (ed.), Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era, IntechOpen.
  • Handle: RePEc:ito:pchaps:262550
    DOI: 10.5772/intechopen.105527
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    More about this item

    Keywords

    green supply chain; green distribution; industry 4.0 technologies; heuristic optimization; greenhouse gas emission; energy efficiency;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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