Ship routing and scheduling systems: forecasting, upscaling and viability

Noshokaty, Said El

doi:10.1108/mabr-04-2020-0027

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Cost minimization and job creation maximization contrast each other. Noshokaty (2021) used information technology in tramp ship routing and scheduling problems to address commodity forecasting. In this model, the method of solution increases the time complexity, when all constraints are considered in commodities forecasting.…”

Section: Literature Studymentioning

confidence: 99%

Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm

Das¹,

Roy²,

Maity

et al. 2022

Decis. Mak. Appl. Manag. Eng.

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Main motto of ship routing and scheduling is to reduce the total transportation cost of each ship or vessel without interrupting the demand and supply. In this study, we have proposed a ship routing and scheduling model for commercial ships where, to ensure unhindered demand and supply of products at various ports in a fixed time frame, the dynamic demand and supply of each port were considered under a fuzzy environment. Additionally, simultaneous loading and unloading and a fixed load factor is used to minimize port time and reduce risks, and this aspect of our work makes it realistically inclined. We also show, in our work, speed optimization to reduce fuel consumption and carbon emission. In practice, cost parameters cannot be always determined, it fluctuates at a certain range from time to time. We have treated the imprecise cost parameters as triangular fuzzy numbers. With a view to working with the developed model, a modified genetic algorithm (MGA) with a new selection technique, namely an in-vitro-fertilization-based crossover, and a generation-dependent mutation is proposed. The proposed sustainable ship routing algorithm with dynamic demand and supply in an uncertain environment gives a novelty in the literature. Another novelty is incurred through the proposed MGA in the heuristic search algorithms. This algorithm has produced numerical results superior to those of other heuristic algorithms. We have also established the efficiency of the proposed algorithm through statistical experiments.

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Section: Literature Studymentioning

confidence: 99%

Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm

Das¹,

Roy²,

Maity

et al. 2022

Decis. Mak. Appl. Manag. Eng.

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show abstract

“…(c) The ship arrival time lacks the necessary shipping elements to represent a real tramp-shipping problem. Examples of the shipping elements include a gross-profitper-day objective, demurrage and dispatch terms, laden and ballast fuel consumptions, passing or (and) bypassing canals, en-route bunkering, and much more others (El Noshokaty 2017, 2020. )…”

Section: Review Of the Literaturementioning

confidence: 99%

Shipping optimization systems (SOS) for tramp: stochastic cargo soft time windows

Noshokaty¹

2021

J. shipp. trd.

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Cargo time windows have been discussed in the shipping literature in several ways and within several contexts. One way considers the hard time windows, where a fixed date is assigned to both the open and close laycan for the cargo loading and discharging ports. According to this way, the cargo is rejected if the ship cannot meet these time windows. Another way develops soft time windows, where the ship for an additional cost or a penalty may violate the cargo laycan. The context in the previous ways includes a tramp deterministic model. In this paper, the soft time windows are considered within a context of a tramp stochastic model, where both the cargo transport demand and the laycan dates are random variables. The objective is a gross-profit-per-day accompanied with realistic shipping elements embedded into decision support systems known as shipping optimization systems (SOS). The chance-constraint programming and the modified version of the Dantzig–Wolfe decomposition principle known as block-angular linear ratio programming solve the problem. A case study demonstrates that using stochastic soft time windows with stochastic cargo transport demand has considerably improved the gross profit-per-day better than trying to arrive on time by varying ship speed or being within a non-stochastic shipping context.

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“…However, the global average temperature rise will reach 3 degrees Celsius by the end of this century without more efficient measures coming into force [8]. The transportation industry and the maritime industry also put efforts on the task of emission reduction [9][10][11][12][13][14][15][16][17][18][19][20][21]. According to the latest Review of Maritime Transport, international shipping accounts for approximately 3 percent of global GHG emissions from human activities, and thus decarbonization has become an increasingly urgent priority in the industry [22].…”

Section: Introductionmentioning

confidence: 99%

LNG Bunkering Station Deployment Problem—A Case Study of a Chinese Container Shipping Network

Wang

2023

Mathematics

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Liquefied natural gas (LNG) is a promising measure to reduce shipping emissions and alleviate air pollution problem, especially in coastal areas. Currently, the lack of a complete infrastructure system is preventing the extensive application of dual-fueled ships that are mainly LNG-powered. Given that groups of LNG bunkering stations are under establishment in various countries and areas, the construction plan becomes critical. In this paper, we focus on the LNG bunkering station deployment problem, which identifies the locations of the stations to be built. A large-scale case study of China’s container shipping network was conducted. The problem scale of this case paper exceeds those in previous academic studies. Thus, this study better validates the model and solution method proposed than numerical experiments that are randomly generated. Sensitive analyses on the LNG price, bunkering station construction costs, and total budget were carried out. The results yielded provide practical suggestions and managerial insights for the competent department. In addition to building a complete bunkering system, subsidies to ship operators for consuming LNG and higher production efficiency in bunkering station construction also help promote the application of LNG as marine fuel.

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Ship routing and scheduling systems: forecasting, upscaling and viability

Cited by 5 publications

References 18 publications

Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm

Solving fuzzy dynamic ship routing and scheduling problem through new genetic algorithm

Shipping optimization systems (SOS) for tramp: stochastic cargo soft time windows

LNG Bunkering Station Deployment Problem—A Case Study of a Chinese Container Shipping Network

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