A Decision Support Tool for Port Planning Based on Monte Carlo Simulation

Benedicto, MA Izaskun; Morales, Ricardo Martín; Marino, Javier; Santos, Francisco

doi:10.1109/wsc.2018.8632389

Cited by 5 publications

(5 citation statements)

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“…With a view to understanding the inter-relationships and dependencies between stakeholder activities, Benedicto et al (2018) simulate port operations, in an approach which accommodates the random variables of climate and those ship-related, in addition to the more predictable shipping characteristics [8]. Based on the inputs, potential alternative strategies to manage the port are considered which prioritise operationality, waiting times, occupancy, and the use of harbour services for an overall optimised approach.…”

Section: Related Workmentioning

confidence: 99%

“…Challenges associated with delays have become a particular problem in the presence of Covid-19, as the supply chain attempts to recover, and pandemic pressures begin to ease [5] [6]. Nonetheless, work is underway to respond to the operational dilemmas at ports, and approaches to responding to the complex management challenge is examined both in the academic literature (e.g., [8] [9]), government reports (e.g., [10]), and recently in the news (e.g., [11]).…”

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confidence: 99%

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Service Level Agreement (SLA) Chains Supported by Cloud in a Complex Port Ecosystem with Competing Stakeholder Goals: Editorial

Peoples¹,

Moore²,

Georgalas³

2022

EAI Endorsed Transactions on Cloud Systems

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Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

Service Level Agreement (SLA) Chains Supported by Cloud in a Complex Port Ecosystem with Competing Stakeholder Goals: Editorial

Peoples¹,

Moore²,

Georgalas³

2022

EAI Endorsed Transactions on Cloud Systems

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“…For example, an n-dimensional classification can be carried out as explained in Section 3.3 and connected with the surveyed serviceability levels by means of an interpolation strategy. In [59] [64]) might also be of interest.…”

Section: User-oriented Thresholding Toolsmentioning

confidence: 99%

Assessing Operability on Berthed Ships. Common Approaches, Present and Future Lines

Molina

Campos

Alfonso

et al. 2020

JMSE

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The revenue of a ship company, a terminal, a port and even the whole logistic chain largely depends on the performance of (un)loading operations inside port areas. However, they are conditioned by met-ocean agents that exert stresses on fixed structures, berthed ships and mooring systems that can affect the comfort, productivity and safety of the operations. Under extreme conditions, operations may be interrupted, producing periods of inactivity, economic losses and even jeopardizing the terminal’s reliability. Therefore, it is crucial to develop strategies for characterizing and predicting operability in docks and anchorages. The present paper aims to assess the main approaches up to date to address the operability on berthed ships and to explore present and future strategies. To accomplish this, main factors affecting the operability are reviewed and different methodologies for the characterization and calculation of operability are detailed, together with some results regarding the perception of vulnerability from the Spanish port community. Rather than aiming for generic mono-parametric thresholds, the results highlight the need for addressing this challenge in a specific way for each dock and anchorage, broadening field monitoring and considering the varied peculiarities and the specific perception and experience of main port’s actors.

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“…Untuk mengetahui persediaan stok barang dimasa depan agar bisa terhindar dari kerugian dibutuhkan sebuah proses simulasi yang mampu memprediksi jumlah stok barang dimasa depan. Simulasi merupakan alat yang berguna untuk memprediksi barang atau hal lainnya dimasa depan [4]. Adapun keuntungan simulasi yaitu:  Hasil percobaan simulasi yang sudah diperoleh dari serangkaian pengujian.…”

Section: Pendahuluanunclassified

Simulasi Pengadaan Barang menggunakan Metode Monte Carlo

Manurung¹,

Santony²

2019

JSisfotek

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Inventory is a very important aspect for the development of a company. Inventory management is needed to determine the inventory of goods needed within a certain period so that market demand can be fulfilled. The data used in this study are inventory data from 2016 to 2018. Data processing in this study uses the Monte Carlo algorithm to predict procurement data. In accelerating data processing, this research applies a Web-based program with the PHP (Hypertext Processor) programming language. The results of testing this method are to obtain predictions of the supply of goods in a certain period of time with the right level of accuracy. From the test results obtained the level of accuracy in predicting inventory stock by 93% so that it can help companies in making decisions in the future.

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A Decision Support Tool for Port Planning Based on Monte Carlo Simulation

Cited by 5 publications

References 0 publications

Service Level Agreement (SLA) Chains Supported by Cloud in a Complex Port Ecosystem with Competing Stakeholder Goals: Editorial

Service Level Agreement (SLA) Chains Supported by Cloud in a Complex Port Ecosystem with Competing Stakeholder Goals: Editorial

Assessing Operability on Berthed Ships. Common Approaches, Present and Future Lines

Simulasi Pengadaan Barang menggunakan Metode Monte Carlo

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