Combined maritime fleet deployment and inventory management with port visit flexibility in roll-on roll-off shipping

Dong, Bo; Christiansen, Marielle; Fagerholt, Kjetil; Bektaş, Tolga

doi:10.1016/j.tre.2020.101988

Cited by 17 publications

(9 citation statements)

References 15 publications

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“…Based on accelerated particle swarm optimization and heuristic rules, a hybrid solution algorithm was designed. Very recently, Dong et al (2020) addressed a composite problem of ECIP and marine fleet deployment in the context of roll-on/roll-off shipping. The authors created largescale linear programming by converting ECIP to numerous inventory management constraints and solved it with Xpress.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of empty container allocation for inland freight stations considering stochastic demand

Chen

Xin

et al. 2022

Preprint

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To meet the fluctuating demand for empty containers at inland freight stations, liner companies often adopt the method of a combination of self-owned and leased empty containers. Therefore, estimating the amount of self-owned and leased empty containers that need to be allocated to each inland freight station in a specific area becomes a critical issue for liner companies. However, owing to the high degree of unpredictability of the demand and the limited flexibility of empty container relocation, the abovementioned issue has not been fully addressed. This paper provides a model for empty container allocation without knowing the probability distribution function of empty container demand in advance. The abovementioned model can jointly optimize the quantities of self-owned empty containers and leased containers allocated to each inland freight station. To solve the abovementioned model, a largest-debt-first policy is adopted to simplify the complicated model, and a differential evolutionary algorithm is developed to solve the simplified model. Numerical experiments are conducted to validate the model. In comparison to conventional way such as overstock, our method significantly reduces the self-owned empty container storage level, improves the ability of liner companies to deal with fluctuations in empty container demand, and offers necessary decision support for liner companies’ daily container management.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of empty container allocation for inland freight stations considering stochastic demand

Chen

Xin

et al. 2022

Preprint

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“…For example, Jeong et al (2018) designed a shipping line network considering empty container management, and an empty container management strategy for bilateral trade was proposed. Dong et al (2020) addressed a composite problem of ECIP and marine fleet deployment in the context of roll-on/roll-off shipping. The authors created large-scale linear programming by converting ECIP to numerous inventory management constraints.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of empty container allocation for inland freight stations considering stochastic demand

Chen

et al. 2022

Ocean & Coastal Management

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“…This is to enable empty containers to flow from the surplus port to the deficient port and reduce the empty container repositioning in the opposite direction. In addition, under the strategy of periodical inventory control strategy, combined with the dynamic decision-making process of MDP mentioned above, the maximum empty container inventory of each port within the regional port cluster is calculated according to the following formula (30). Let L be the lead time of empty container repositioning.…”

Section: Determination Of Dynamic Empty Container Inventory Holding Thresholdmentioning

confidence: 99%

“…Eide et al [29] incorporated ship speed and load factors into the model when studying the offshore inventory path problem, and the results showed that considering these two factors could save 38% of the cost. Dong et al [30] determined the navigation route of each voyage on the trade route, and some ports can be skipped during some voyages. Meanwhile, the empty container inventory of the visited ports can be controlled within a reasonable range.…”

Section: Introductionmentioning

confidence: 99%

Optimization on the Multi-period Empty Container Repositioning Problem in Regional Port Cluster Based upon Inventory Control Strategies

Cai¹,

Li²,

Yin³

et al. 2021

Preprint

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Within the area of regional port clusters, this paper establishes a multi-period mixed integer programming model to optimize the empty container repositioning between public hinterlands and ports, comprehensively considering the quantitative and periodic inventory control strategy. By using Markov decision process combined with dynamic programming method, this paper dynamically optimizes the empty container inventory threshold (D;U) under quantitative strategy and S under periodical strategy at each port within the regional port clusters. On this basis, this paper optimizes the empty container repositioning scheme between public hinterlands and ports. Meanwhile, Liaoning coastal regional port cluster and its northeast hinterland are selected as the objects to solve this model and the results show that the total cost of shipping company can be saved by 14.16% and 11.92% respec- tively by the quantitative and periodical inventory control strategy. Selecting the quantity of public hinterland terminals, the empty container demand of public hinterland terminals and ports, the inventory threshold of empty containers and other factors, this paper carries on the sensitivity analysis. This paper validates inventory control strategy can weaken the shipping company in the influence of the external environment changes. And the quantitativeinventory control strategy can reduce the total cost value to a greater extent and more effective in cost control than periodical strategy.

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Combined maritime fleet deployment and inventory management with port visit flexibility in roll-on roll-off shipping

Cited by 17 publications

References 15 publications

Optimization of empty container allocation for inland freight stations considering stochastic demand

Optimization of empty container allocation for inland freight stations considering stochastic demand

Optimization of empty container allocation for inland freight stations considering stochastic demand

Optimization on the Multi-period Empty Container Repositioning Problem in Regional Port Cluster Based upon Inventory Control Strategies

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