A Logistics Simulator with the Ambient Calculus for Modeling Intra-Regional Truck Transportation
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society(2023)
Abstract
This paper proposes a cargo transport simulator based on the Ambient Calculus (AC) for efficient trucking planning. While the decline of transportation capacity is a part of the so-called “2024 issue” that the Japanese logistics industry is currently facing, the loading rate of trucks for the intra-regional medium-lot cargo transportation in particular remains low at about 40% because of inefficient truck operations, such as individual delivery planning even among neighboring distribution centers. Various dispatch planning systems are being used to improve loading rates and cope with the decline in transportation capacity. However, despite these efforts, the loading rate remains low. This indicates that medium-lot cargo transportation within a regional block is an area where efficiency is particularly difficult to improve. To develop efficient transportation planning, the on-site operational model needs to be accurately described. This research takes advantage of the property of process algebra that can explicitly express nondeterminism. The cargo transport simulator proposed in this paper makes trucking plans by nondeterministically combining deliveries that satisfy conditions such as distance, direction, weight, and type of cargo. For this purpose, we propose a syntactic extension of AC suitable for modeling trucking, and implement a delivery plan presentation function using the processing system of the language.
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Key words
logistics,process algebra,modeling
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