Uncertainty handling in containerized logistics: Unitary Traceability Object approach

Siraprapa Wattanakul, Napaporn Reeveerakul, S. Henry, Y. Ouzrout
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引用次数: 4

Abstract

The transit time of transportation and port clearance is considered as the second most salient risk in the global supply chain. This further affects the accurate estimation of shipment lead time due to the high variability. This research proposes a literature review to explore the behaviour of uncertainty influencing the global logistics chain. The classification of logistics roles (Shipper, Shipping line, Port: Fundamental and Port: Intermodal) presents how the uncertainty currently influences the decisions of each logistics role in strategical, tactical and operational problems. It is found that uncertainty occurred during the logistics operation influencing to all logistics roles and it is transferrable to the adjacent logistics role. The Unitary Traceability Object such as smart container has an opportunity to monitor the logistics operation and extract the behaviour of uncertainty during the operation in the field. This information further supports the planning decisions to respond/treat the uncertainty.
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集装箱物流中的不确定性处理:统一可追溯对象方法
运输和港口清关的过境时间被认为是全球供应链中第二大最突出的风险。由于高可变性,这进一步影响了发货提前期的准确估计。本研究提出了一个文献综述,探讨不确定性的行为影响全球物流链。物流角色的分类(托运人、航运公司、港口:基础和港口:多式联运)展示了不确定性目前如何影响战略、战术和操作问题中每个物流角色的决策。研究发现,物流运行过程中所产生的不确定性影响到所有物流角色,并可转移到相邻的物流角色。智能集装箱等单一可追溯性对象有机会监控物流操作并提取现场操作过程中的不确定性行为。这些信息进一步支持应对/处理不确定性的规划决策。
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