An Event-Driven Agent-Based Simulation Model for Industrial Processes

Iannino, Vincenzo; Mocci, Claudio; Vannocci, Marco; Colla, Valentina; Caputo, Andrea; Ferraris, Francesco

doi:10.3390/app10124343

Cited by 15 publications

(10 citation statements)

References 20 publications

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“…The DS model processes the ABM output while the ABM processes the DS output. Therefore, the integrated model developed is the combination of the top-down integration by [18] and bottom-up integration by [45]. Additionally, the concurrency of the model is maintained in real-time.…”

Section: Discussionmentioning

confidence: 99%

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The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

et al. 2022

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The role of the Association of Southeast Asia Nations (ASEAN) small and medium enterprises (SMEs) as the regional socioeconomic stabilizer is inseparable from endogenous multisector collaboration. Indonesian SMEs struggled with Industry 4.0 adoption due to the lower digital infrastructure (DI) and digital literacy (DL) index. This study aims to develop a provisional model to explore the role of technology startups (TS) in covering the DI and DL of SMEs. The evaluation was through a simulation model of Indonesian SMEs’ collaboration with the government and TS. The developed model is a concurrent real-time integration of an agent-based model (ABM) with a causal loop diagram (CLD). The simulation results imply that SMEs’ collaboration with TS leads to the early adoption of Industry 4.0 that balances the business competition environment. The model also shows that exponentially rising government aid can help the SMEs into late adoption of Industry 4.0. However, SMEs are still unable to sustain the business competition. Thus, the integrative simulation model is a state-action planning model with each state result bounded to the previous state result. The initial input parameters determine the model behavior. Thus, the model is a good resiliency planner for SMEs’ Industry 4.0 adoption.

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Section: Discussionmentioning

confidence: 99%

“…Case Integration Behavior Steering This study Industry 4.0 Adoption DS concurrent ABM [18] Waste Management DS on top ABM [45] Industrial Process ABM on top DS causing behavior steering.…”

Section: Studymentioning

confidence: 98%

The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

et al. 2022

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“…This project inspired further projects such as the RFCS project Cyber-POS (Virtual Design of Cyber-Physical Production Optimization Systems for Long Production Factories), which was focused on establishing the feasibility, safety, and benefits of Cyber-Physical Production Systems (CPPS) through different software technologies including agents [26]. Moreover, in the project MAGUS (Manufacturing Execution System Augmented Solution) funded by Regione Piemonte (Italy) and EU, where a MAS was developed to the aim of providing a technological solution to the specific needs of the process industry [27].…”

Section: Two Exemplar Applications Of Multi-agent Systems In Steel Pr...mentioning

confidence: 99%

Multi-agent systems to improve efficiency in steelworks

Iannino

Colla

Mocci

et al. 2021

Matériaux & Techniques

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A multi-agent system consists of several computational entities capable of autonomous actions, called agents, which communicate with each other, and have the ability to coordinate their actions and to cooperate. Multi-agent systems received a great interest and attention over time, as they can be seen as a key enabling technology for complex applications, where distributed and processing of data, autonomy, and high degree of interactions in dynamic environments are required at the same time. Therefore, in view of current and future developments of the digitalization of industrial production cycles promoted by Industry 4.0, multi-agent systems are foreseen to play an increasing role for industrial production management and optimization. Because of barriers represented by large presence of legacy systems, in the steel sector agent-based technology is not widely applied yet, and multi-agent systems applications are very few. On the other hand, steel manufacturing industries are complex and dynamic systems whose production processes held a strategic role in the global economy. During last decades, the steel sector has undergone relevant transformations, especially through the massive digitalization and the innovation introduced by Industry 4.0. A further evolution is foreseen in the incoming years to improve the sustainability of the production cycle by improving energy and resource efficiency. Therefore, steel industries must face several challenges on the path toward the factory of the future. In such context multi-agent systems, through their intrinsic properties, such as autonomy, social abilities, reactivity, proactivity, and mobility, can overcome existing drawbacks and barriers, by increasing flexibility, improving resources efficiency, handling production operations, reacting to unpredicted events, optimizing production processes, and supporting legacy systems. In this paper, some applications of multi-agent systems in steel sector are presented to show the advantages and opportunities of agent-based technology.

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“…The simulation also provides a graphical way of understanding the process flow, which is easily followed by the end user. It is possible to stop and modify and run again in such a way that each operation can be analyzed in a simple way [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Productivity Improvement through Reengineering and Simulation: A Case Study in a Footwear-Industry

2020

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Process reengineering is a very useful tool, specifically in industrial engineering where technological advances, information systems, customer requirements, and more have led to the need for radical change in some or all areas of an organization. The objective of this work is to show the usefulness of applying reengineering in the case of the footwear industry to make a proposal to change the problem area and the production decoration line as well as compare it with the current process using models of simulation performed in the Arena™ software. The proposal consisted of merging two production lines and comparing the current design with the proposal as well as comparing different parameters such as the use of resources and the production rate. The results indicated that the production rate increases by approximately 29% with the new design, using the same resources. In addition, using the OptQuest tool of the Arena™ software, it was found that with the new process, the production rate could be increased by up to 41% compared to the current process.

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An Event-Driven Agent-Based Simulation Model for Industrial Processes

Cited by 15 publications

References 20 publications

The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

The Evaluation of Technology Startup Role on Indonesian SMEs Industry 4.0 Adoption Using CLD-ABM Integrated Model

Multi-agent systems to improve efficiency in steelworks

Productivity Improvement through Reengineering and Simulation: A Case Study in a Footwear-Industry

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