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

Kaiwei Jia and Jinjing Wang ()
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Kaiwei Jia: Liaoning Technical University, School of Business Administration
Jinjing Wang: Liaoning Technical University, School of Business Administration

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 657-671 from Springer

Abstract: 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.

Keywords: material dispatching; asynchronous communication; event triggering; distributed optimization; ETAMD algorithm (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_67

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DOI: 10.2991/978-94-6463-256-9_67

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