Methods for strategic liner shipping network design

Mulder, Judith; Dekker, Rommert

doi:10.1016/j.ejor.2013.09.041

Cited by 79 publications

(30 citation statements)

References 14 publications

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“…This research adopts a mathematical model that was developed by Mulder and Dekker [17]. The objective function of this model is maximizing profit and revenue, while minimizing handling costs and transshipping costs.…”

Section: Mathematical Modelmentioning

confidence: 99%

Designing Indonesian Liner Shipping Network

Moeis

Zagloel

Hidayatno

et al. 2017

jti

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Abstract:As the largest archipelago nation in the world, Indonesia's logistics system has not shown excellence according to the parameters of logistics performance index and based on logistics costs percentages from overall GDP. This is due to the imbalances of trading on the western and eastern regions in Indonesia, which impacts the transportation systems costs to and from the eastern regions. Therefore, it is imperative to improve the competitiveness of Indonesian maritime logistics through maritime logistics network design. This research will focus on three levels of decision making in logistics network design, which include type of ships in the strategic level, shipping routes in the tactical level, and container allocation in the operational level with implementing butterfly routes in Indonesia's logistics networking problems. Furthermore, this research will analyze the impact of Pendulum Nusantara and Sea Toll routes against the company profits and percentages of containers shipped. This research will also foresee how demand uncertainties and multi-period planning should affect decision making in designing the Indonesian Liner Shipping Network.

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Section: Mathematical Modelmentioning

confidence: 99%

Designing Indonesian Liner Shipping Network

Moeis

Zagloel

Hidayatno

et al. 2017

jti

View full text Add to dashboard Cite

show abstract

“…Thus, the decision for any problems that are on every level will affect decisions on other issues. Therefore, it is important for these three problems to be solved simultaneously, namely by taking decision simultaneously to all levels of strategic planning, tactical, and operational (Mulder and Dekker, 2013).…”

Section: Methodsmentioning

confidence: 99%

Indonesian Maritime Logistics Network Optimization Using Mixed Integer Programming

Rahmawan

Angelina

2017

MATEC Web Conf.

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Abstract. Some causes of the high logistic costs and significant disparity in Indonesia's commodity price is the imbalanced distribution of the flow of goods between west and east regional of Indonesia and the slow development infrastructure. This issue can be happened because maritime transport infrastructure in Indonesia have not served effectively yet,. Therefore, the provider of shipping services should be able to design the Indonesian maritime logistics network that best suits with the current maritime conditions and provide the greatest benefits. This study aims to obtain a model of decision-making at all levels (strategic, tactical, operational) to determine the type of vessel, the shipping routes, and cargo allocation that gives the maximum profit. Main purpose from this study is to develop decision-making model for maritime logistics network design at all levels (strategic, tactical, operational) by using Mixed Integer Programming which can solve the combination of fleet-design, ship-scheduling, and cargo routing problems simultaneously.

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“…However, this paper dealt only with homogeneous fleets. [23] considered the combined fleet-design, ship-scheduling and cargo-routing problem with limited availability of ships and proposed a clustering procedure together with a genetic algorithm. [7] presented a hybrid genetic algorithm for the multi-trip vehicle routing problem, in which each vehicle can perform several trips during the working day.…”

Section: Literature Reviewmentioning

confidence: 99%

Downstream logistics optimization at EWOS Norway

Branda¹,

Haugen²,

Haugen³

et al. 2017

Math. Appl.

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Abstract. The Norwegian company EWOS AS produces fish feed for the salmon farming industry, supplying approximately 300 customers spread along the coast of Norway. The feed is produced at three factory locations and distributed by a fleet of 10 dedicated vessels. The high seasonality of the demand and the large number of customers make the distribution planning a substantial challenge. EWOS handles it by operating a system of mostly fixed routes with decentralized planning at each factory. The distribution can be described as a multi-depot vehicle routing problem with time windows, multiple vehicle usage, inter-depot routes, heterogeneous fleet and a rolling horizon. The paper presents a mathematical model for this problem, which is solved by heuristics and meta heuristics. Based on detailed historical data collected by EWOS during the autumn of 2010, the model has proposed a dynamic set of routes with a significant reduction of travelled distance -close to 30% -and an increase of average vessel fill-rate -from 60% up to 95%. This implies a substantial fuel saving, with a positive environmental impact, and also a potential for downscaling the fleet, with additional considerable cost savings for the company.

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Methods for strategic liner shipping network design

Cited by 79 publications

References 14 publications

Designing Indonesian Liner Shipping Network

Designing Indonesian Liner Shipping Network

Indonesian Maritime Logistics Network Optimization Using Mixed Integer Programming

Downstream logistics optimization at EWOS Norway

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