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首页> 外文期刊>International Journal of Logistics Systems and Management >Particle Swarm Optimisation for fixed-charge transportation problem in a Multistage Supply Chain Network
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Particle Swarm Optimisation for fixed-charge transportation problem in a Multistage Supply Chain Network

机译:多阶段供应链网络中固定电荷运输问题的粒子群算法

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摘要

This work develops a mathematical model for a Multistage Supply Chain Network (MSCN) with a fixed charge for each route and proposes novel solution procedure based on Particle Swarm Optimisation (PSO). The MSCN problem involves selection of facilities to open, and the distribution network design must satisfy demand at minimum cost. The problem becomes Nondeterministic Polynomial-time (NP) hard while considering fixed charges. The novel idea in this work is the adoption of fixed charges for each production flow between stages. Numerical results are presented and compared with approximate and lower bound values to demonstrate the effectiveness of the proposed approach.
机译:这项工作开发了一个多阶段供应链网络(MSCN)的数学模型,每条路径的费用固定,并提出了基于粒子群优化(PSO)的新颖解决方法。 MSCN问题涉及选择要开放的设施,而配电网络设计必须以最低的成本满足需求。考虑固定费用时,问题变得不确定性多项式时间(NP)变得很困难。这项工作中的新颖思想是在阶段之间的每个生产流程中采用固定费用。提出了数值结果,并与近似值和下界值进行了比较,以证明所提出方法的有效性。

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