Assessing the Reliability of Integrated Bioenergy Systems to Capacity Disruptions via Monte Carlo Simulation

Benjamin, Michael Francis D.; Andiappan, Viknesh; Tan, Raymond R.

doi:10.1007/s41660-021-00172-9

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…The first and most common is the Monte Carlo simulation, which determines the responsivity of a system’s output by modelling the input parameters based on their probability distribution. This type of simulation uses iterative approaches and computations to obtain enough data for the related analysis (Benjamin et al 2017 ). Lee et al ( 2017 ) estimated the multivariable stochastic volatilities (SVs) and determined the common factors affecting the price of oil and agricultural products utilized for biofuel and other applications using the Markov Chain Monte Carlo technique.…”

Section: Micro-level Analysis Of the Papersmentioning

confidence: 99%

“…Lee et al ( 2017 ) estimated the multivariable stochastic volatilities (SVs) and determined the common factors affecting the price of oil and agricultural products utilized for biofuel and other applications using the Markov Chain Monte Carlo technique. Benjamin et al ( 2017 ) assessed the resilience of bioenergy parks when production capacity (or level) is prone to disruption. They used the Monte Carlo simulation approach to model the variation in the extent of disruption for each scenario.…”

Section: Micro-level Analysis Of the Papersmentioning

confidence: 99%

“…A hybrid approach, including the MINLP model and Monte Carlo simulation, was proposed by Shabani and Sowlati ( 2016a ) to optimize a forest-based supply network and assess the influence of feedstock quality, availability, price, and electricity costs on the system. Similarly, Benjamin et al ( 2021 ) used this type of simulation to analyse the risk and evaluate the reliability of an integrated bioenergy system when processing capacity is prone to the risk of disruption. Mamun et al ( 2020 ) used the Monte Carlo simulation to show that geographically distributed depots can efficiently absorb the risks due to uncertainties in a cellulosic BSC network.…”

Section: Micro-level Analysis Of the Papersmentioning

confidence: 99%

See 2 more Smart Citations

Towards facing uncertainties in biofuel supply chain networks: a systematic literature review

Habibi,

Chakrabortty,

Abbasi

2023

Environ Sci Pollut Res

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Biofuel supply chains (BSCs) face diverse uncertainties that pose serious challenges. This has led to an expanding body of research focused on studying these challenges. Hence, there is a growing need for a comprehensive review that summarizes the current studies, identifies their limitations, and provides essential advancements to support scholars in the field. To overcome these limitations, this research aims to provide insights into managing uncertainties in BSCs. The review utilizes the Systematic Reviews and Meta-Analyses (PRISMA) method, identifying 205 papers for analysis. This study encompasses three key tasks: first, it analyses the general information of the shortlisted papers. Second, it discusses existing methodologies and their limitations in addressing uncertainties. Lastly, it identifies critical research gaps and potential future directions. One notable gap involves the underutilization of machine learning techniques, which show potential for risk identification, resilient planning, demand prediction, and parameter estimations in BSCs but have received limited attention. Another area for investigation is the potential of agent-based simulation, which can contribute to analysing resilient policies, evaluating resilience, predicting parameters, and assessing the impact of emerging technologies on BSC resilience in the twenty-first century. Additionally, the study identifies the omission of various realistic assumptions, such as backward flow, lateral transshipments, and ripple effects in BSC. This study highlights the complexity of managing uncertainties in BSCs and emphasizes the need for further research and attention. It contributes to policymakers’ understanding of uncertain sources and suitable approaches while inspiring researchers to address limitations and generate breakthrough ideas in managing BSC uncertainties.

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Section: Micro-level Analysis Of the Papersmentioning

confidence: 99%

Section: Micro-level Analysis Of the Papersmentioning

confidence: 99%

Section: Micro-level Analysis Of the Papersmentioning

confidence: 99%

See 1 more Smart Citation

Towards facing uncertainties in biofuel supply chain networks: a systematic literature review

Habibi,

Chakrabortty,

Abbasi

2023

Environ Sci Pollut Res

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“…Simulasi Monte Carlo sebuah pendekatan untuk menentukan pengaruh berbagai input pada sistem yang diberikan menggunakan distribusi probabilistik. Sifat iteratif dari metode ini menghasilkan jumlah data yang cukup untuk dapat dianalisis menggunakan analisis statistik tradisional [8].…”

Section: Pendahuluanunclassified

Prediksi Peserta Didik Baru untuk Mengoptimalkan Promosi Menggunakan Algoritma Monte Carlo

Najib

Roza

2022

INFEB

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Telkom Elementary school of Padang is the digital-based school that utilizes advanced technology to elevate the quality of teaching, service, and evaluation. Digitalization is supposed to be provided with digital tools in which those are the most important things for the development of the school. This element is significantly beneficial for assisting the process of the school promotion in terms of students admission. To go further, the use of technology in this school has been incredibly beneficial for improving the promotion process of students admission. In the beginning of 2019, Telkom elementary school of Padang has been utilizing technology for obtaining the data of new students such as the information of registrants’ identity and payment process. Currently, Telkom Elementary school of Padang needs more evaluation towards its previous data that has been derived by digital tools in order to optimize the promotion process. Therefore, optimizing the promotion in students’ admission process becomes the main objective of this study. In order to achieve the goal, the data that used in this study is derived from school year off 2020-2021 and 2022-2023. The data consists of registration number, registration date, students name, and the name of the previous school that has been attended. Furthermore, Monte Carlo has been selected as the method used in this study. Based on the Monte Carlo test, there are 124 registrants predicted in the school year of 2021-2022 with the accuracy rate of 84%, 115 registrants for the school year of 2022-2023 with 81% of accuracy level, and 129 registrants predicted for the upcoming school year of 2023-2024. Thus, this research is able to be a reference for optimizing the promotion process in students admission of Telkom Elementary School of Padang.

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“…However, such interconnected systems would suffer from the ripple and amplification effect of disruption when a component fails. Benjamin et al (2021) developed a risk analysis and Monte Carlo simulation-based framework to assess and determine the reliability of integrated bioenergy systems against variable capacity disruptions, which can cause partial system inoperability or even network failure. The Monte Carlo simulation method is used to determine failure rates by introducing a probabilistic input to a model.…”

Section: Process Modelling and Simulationmentioning

confidence: 99%

9th Asian Symposium on Process Systems Engineering

Lee¹,

Aviso

2021

Process Integr Optim Sustain

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This special issue is dedicated to the 9 th Asian Symposium on Process Systems Engineering (PSE Asia 2020), which was held in Taipei on 4-6 November 2020. The themes of this special issue are "Process Integration and Optimization" and "Process Modelling and Simulation." A call for papers for the special section was announced after the event, on 25 November 2020. A total of four papers were accepted for publication after the peer review process. These papers come from outstanding research groups in Asia (India, Malaysia, Philippines, and Thailand), covering process design, resource conservation, reliability assessment, and production planning problems. A brief review of these papers is as follows.

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Assessing the Reliability of Integrated Bioenergy Systems to Capacity Disruptions via Monte Carlo Simulation

Cited by 7 publications

References 35 publications

Towards facing uncertainties in biofuel supply chain networks: a systematic literature review

Towards facing uncertainties in biofuel supply chain networks: a systematic literature review

Prediksi Peserta Didik Baru untuk Mengoptimalkan Promosi Menggunakan Algoritma Monte Carlo

9th Asian Symposium on Process Systems Engineering

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