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On Innovation-Based Triggering for Event-Based Distributed Material Optimization Dispatching Algorithm

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Kaiwei Jia

    (Liaoning Technical University, School of Business Administration)

  • Jinjing Wang

    (Liaoning Technical University, School of Business Administration)

Abstract

This paper investigates the problem of material dispatching for the logistics system. Traditional optimization algorithms are too costly to establish clock synchronization when solving large-scale material dispatching problems. At the same time, small changes in each area can trigger global information interactions, resulting in significant communication costs. For this reason, construct ETAMD (Event-triggered asynchronous material dispatch) distributed optimization algorithm to solve the problem using an asynchronous communication event-triggered model. This algorithm, firstly, eliminates the reliance on clock synchronization. Secondly, reduces meaningless communication between participants and reduces the amount of computation for minimizing the total cost of material dispatching. In the end of the thesis, the effectiveness of the proposed algorithm is verified by simulation results.

Suggested Citation

  • Kaiwei Jia & Jinjing Wang, 2024. "On Innovation-Based Triggering for Event-Based Distributed Material Optimization Dispatching Algorithm," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 657-671, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_67
    DOI: 10.2991/978-94-6463-256-9_67
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