A simulation method to generate commute trips—for agent-based modeling on co-diffusion of alternative fuel vehicles and their filling stations

Agent-based modeling is a simulation method in which autonomous agents interact with their environment and one another, given a predefined set of rules. It is an integral method for modeling and simulating complex systems, such as socio-economic problems. Since agent-based models are not described by simple and concise mathematical equations, the code that generates them is typically complicated, large, and slow. Here we present Agents.jl, a Julia-based software that provides an ABM analysis platform with minimal code complexity. We compare our software with some of the most popular ABM software in other programming languages. We find that Agents.jl is not only the most performant but also the least complicated software, providing the same (and sometimes more) features as the competitors with less input required from the user. Agents.jl also integrates excellently with the entire Julia ecosystem, including interactive applications, differential equations, parameter optimization, and so on. This removes any “extensions library” requirement from Agents.jl, which is paramount in many other tools.

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Effectiveness of Rastra Bulog Rice Distribution Using Agent Based Modeling and Simulation Tools

Almana : Jurnal Manajemen dan Bisnis ◽

10.36555/almana.v5i1.1553 ◽

2021 ◽

Vol 5 (1) ◽

pp. 84-92

Author(s):

Roro Arinda Reswanti Julian Pratama ◽

Muchammad Rusdan

Keyword(s):

Modeling And Simulation ◽

Low Income ◽

Simulation Method ◽

Agent Based Modeling ◽

Agent Based ◽

Rice Distribution ◽

Distribution Strategy ◽

Delivery Times ◽

Distribution Process ◽

The Government

The Rastra Rice Program is one of the programs planned by the government to reduce the burden on target households (RTS – Rumah Tangga Sasaran). This program provides relief to the community by distributing Rastra Rice which is suitable for consumption. BULOG become one of the state-owned institutions appointed by the government to provide and distribute subsidized rice for low-income groups, the provision prioritizes the procurement of rice/rice from farmers in the country. The main objective of this research is to find a better distribution strategy so that the distribution process of Rastra rice is efficient, minimizes delays from delivery times, and minimizes the risk of storage costs. The research method used is descriptive qualitative with data collection methods using observation techniques and literature studies, while the method in determining the distribution strategy using agent-based modeling and simulation. Agent-based Model (ABM) based simulation method for Rastra rice distribution using the Multi-Agent Simulation (MASIM) stage, namely, the requirements stage, the modeling stage, the design, and architectural stage, the implementation stage, the verification stage, validation, and accreditation.

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Overview of construction simulation approaches to model construction processes

Organization Technology and Management in Construction An International Journal ◽

10.2478/otmcj-2018-0018 ◽

2019 ◽

Vol 11 (1) ◽

pp. 1853-1861 ◽

Cited By ~ 2

Author(s):

Orsolya Bokor ◽

Laura Florez ◽

Allan Osborne ◽

Barry J. Gledson

Keyword(s):

Discrete Event ◽

Simulation Method ◽

Agent Based Modeling ◽

Model Construction ◽

Construction Simulation ◽

Dynamic Nature ◽

Agent Based ◽

Event Simulation ◽

Hybrid Approaches ◽

Construction Works

Abstract Construction simulation is a versatile technique with numerous applications. The basic simulation methods are discrete-event simulation (DES), agent-based modeling (ABM), and system dynamics (SD). Depending on the complexity of the problem, using a basic simulation method might not be enough to model construction works appropriately; hybrid approaches are needed. These are combinations of basic methods, or pairings with other techniques, such as fuzzy logic (FL) and neural networks (NNs). This paper presents a framework for applying simulation for problems within the field of construction. It describes DES, SD, and ABM, in addition to presenting how hybrid approaches are most useful in being able to reflect the dynamic nature of construction processes and capture complicated behavior, uncertainties, and dependencies. The examples show the application of the framework for masonry works and how it could be used for obtaining better productivity estimates. Several structures of hybrid simulation are presented alongside their inputs, outputs, and interaction points, which provide a practical reference for researchers on how to implement simulation to model construction systems of labor-intensive activities and lays the groundwork for applications in other construction-related activities.

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A model of organizational performance based on the big-five factor theory and ABMS method

International Journal of Modeling Simulation and Scientific Computing ◽

10.1142/s179396231650001x ◽

2016 ◽

Vol 07 (02) ◽

pp. 1650001

Author(s):

Mo Hao ◽

Gong Guanghong ◽

Li Ni ◽

Kong Haipeng

Keyword(s):

Modeling And Simulation ◽

Organizational Performance ◽

Big Five ◽

Simulation Method ◽

Agent Based Modeling ◽

Systems Science ◽

Team Members ◽

Five Dimensions ◽

Agent Based ◽

Long Time

How to predict and change organizational performance has been a focus problem drawing economists and managers’ attention for a long time. The Big-five Factor theory is very popular among psychologists and ABMS (Agent-Based Modeling and Simulation) method is widely used in Systems Science. By integrating Big-five Factor and ABMS, we proposed a model to predict organizational performance. Fuzzy rules were built up to describe one-on-one cooperation in the five dimensions of personalities and an unsymmetrical network model was established to depict cooperation relationships between team members. What is more, a series of cases was studied and the result was proved to be rational.

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Agent-Based Modeling and Simulation of Tourism Market Recovery Strategy after COVID-19 in Yunnan, China

Sustainability ◽

10.3390/su132111750 ◽

2021 ◽

Vol 13 (21) ◽

pp. 11750

Author(s):

Yumei Luo ◽

Yuwei Li ◽

Guiping Wang ◽

Qiongwei Ye

Keyword(s):

Management Practice ◽

Recovery Process ◽

Simulation Method ◽

Tourism Industry ◽

Agent Based Modeling ◽

Agent Based ◽

Information Strategies ◽

Recovery Strategies ◽

Error Costs

The tourism industry hit severely by COVID-19 faces the challenge of developing effective market recovery strategies. Nonetheless, the existing literature is still limited regarding the dynamic evolution process and management practice. Hence, this study chose several famous spots in the Yunnan Province of China as the focus for a case study and utilized an agent-based simulation method for the decision-making process of tourists’ destination selection and the dynamic recovery process of the destinations under different price and information strategies. The study found that the recovery effects of information strategies are positive, negative, or have no effect in different destinations. In contrast, price strategies can significantly stimulate an increase in the market share of destinations. When price strategy and information strategy are applied simultaneously, the interaction effects are inconsistent in different destinations. The findings contribute to the prediction of the recovery effect of strategies, can reduce trial and error costs, and can improve the scientific understanding of tourism market recovery.

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