物流公司运营规划中的物流绩效指数驱动:智能运输方法

IF 6.3 2区 工程技术 Q1 ECONOMICS Transport Policy Pub Date : 2024-10-28 DOI:10.1016/j.tranpol.2024.10.034
Niloofar Dini , Saeed Yaghoubi , Hamideh Bahrami
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引用次数: 0

摘要

物流公司(LCs)的责任不仅仅是处理物流流程和选择运输路线,它们还注重在运营中提高竞争力和效率。在多个出发地和目的地网络中,物流公司试图从每个点选择最优路线。为了应对这一挑战并减少确定潜在路线所需的时间,本研究为物流公司开发了一种新方法。在运营规划中,还需要考虑其他因素,以提高效率、客户满意度和竞争力。为解决这一问题,本研究受 LPI 的启发,提出了一个新颖的模型和贡献,将智能港口的变革性影响、智能集装箱的集成、清算和转运代理及港口运营商的选择以及时间不确定性应用于多目标框架中。具体来说,数学模型的目标包括定期多式联运网络中的成本、时间、客户满意度和环境影响。通过整合智能集装箱和智能港口的选择,引入了创新的客户满意度函数,强调它们对提高客户满意度的影响,同时通过机会约束方法和变异系数解决时间不确定性问题。结果表明,智能港口和智能集装箱会对运输时间和客户满意度产生重大影响。此外,与其他研究结果相比,该模型在信用证决策方面更具优势,特别是通过将时间不确定性以及清算和转运代理及港口运营商的作用纳入其中。因此,该模型在降低成本、提高客户满意度和促进智能国际物流方面具有实际意义。这项研究提出的见解不仅对信用证公司有用,而且对运输业的其他利益相关者也很有帮助。
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Logistics Performance Index-driven in operational planning for logistics companies: A smart transportation approach
The responsibility of Logistics Companies (LCs) extends beyond simply handling logistical processes and choosing transportation routes; they focus on being competitive and efficient in their operations. In multiple origins and destinations networks, LCs attempt to select the most optimal routes from each point. To address this challenge and reduce the time needed to identify potential routes, a novel method has been developed in this research for LCs. In operational planning, additional factors need to be considered to increase efficiency, customer satisfaction, and competitiveness. To confront this issue, the study proposes a novel model and contributions, inspired by the LPI, to apply the transformative impact of smart ports, the integration of smart containers, the choices of clearing and forwarding agents and port operators, and time uncertainty in the multi-objective framework. Specifically, the mathematical model's objectives include cost, time, customer satisfaction, and environmental impact in the periodic multimodal network. An innovative customer satisfaction function is introduced by integrating the selection of smart containers and smart ports, emphasizing their impact on enhancing customer satisfaction, while addressing time uncertainty through a chance-constrained approach and coefficients of variation. The model is solved using goal programming, and the results show that smart ports and smart containers can majorly affect transportation time and customer satisfaction. Furthermore, comparing the results to other studies demonstrates its superiority in decision-making for LCs, particularly by including time uncertainty and the role of clearing and forwarding agents and port operators. Therefore, the model holds practical significance in lowering costs, enhancing customer satisfaction, and facilitating smart international logistics. This research offers insights that are not only useful for the LCs but also for other stakeholders in the transport industry.
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来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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