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Increasing Resilience in Production Networks: A Practical Approach Based on Scenario Planning and simulation-Based Capacity Analysis 19

Increasing Resilience in Production Networks: A Practical Ap...

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19th international conference on Software technologies, ICSOFT 2024

作者： Kunz, David Maisel, Tim Kunze, Andreas Franke, Jörg Friedrich-Alexander-Universität Erlangen-Nürnberg Egerlandstraße 7-9 Erlangen90158 Germany Siemens Healthineers AG Siemensstr. 3 Forchheim91301 Germany

ISBN: (纸本)9789897587061

In the current global economic landscape, companies with an international presence face the challenge of ensuring that their production networks are not only efficient but also resilient to unpredictable events. Recent technological advancements and the close integration of global production networks have been increasingly disrupted. During times of global crises, it becomes evident that traditional approaches are no longer sufficient. Therefore, the focus is shifting from reactive measures to proactive prevention. This paper presents a novel approach for increasing resilience in a production network based on a combination of systematic foresight of unpredictable events using scenario planning and a simulation-based capacity analysis for the identified scenarios. To demonstrate and validate the application of the proposed approach, a case study for the production network of a large German healthcare company is conducted and presented. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Capacity Analysis Case Study Global Production Networks international Supply Chains Resilience Scenario Planning simulation simulation-Based

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Multi-Method Approaches for simulation Modelling of Warehouse Processes 19

Multi-Method Approaches for Simulation Modelling of Warehous...

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19th international conference on Software technologies, ICSOFT 2024

作者： De Vito, Pietro Battista, Umberto Bolognesi, Anna Sanfilippo, Stefano STAM S.r.l. Via Lorenzo Pareto 8 Rosso A Genoa Italy

ISBN: (纸本)9789897587061

Efficient warehouse management is essential for business-to-business (B2B) operations, ensuring timely delivery, cost minimization, and operational efficiency. To meet these challenges, advanced modelling and simulation techniques are increasingly adopted. This paper shows the application of multi-method simulation approaches, specifically agent-based and discrete event simulation, applied to optimize warehouse processes and resource allocation for a leading sport brand retailer in the B2B sector. By combining these approaches, we aimed to capture the complexity of warehouse operations and identify opportunities for improvement. The simulation model developed using AnyLogic software, integrated agent-based modelling to represent entities such as packages, articles, orders, warehousemen, and trucks, along with discrete event simulation to model key events like order arrival and truck departure. The developed model has been used to optimize the resource allocation ensuring order fulfilment. Scenario analyses revealed varying resource requirements across different demand scenarios, highlighting the challenges posed by increasing demanded volumes. The study underscores the importance of strategic resource planning and proactive measures to address capacity limitations and ensure warehouse efficiency in meeting future demand. Our findings contribute to informed decision-making in warehouse management, guiding strategies for optimization and adaptation to evolving market demands. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Efficiency

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Evolutionary Multi-Objective Task Scheduling for Heterogeneous Distributed simulation Platform 19

Evolutionary Multi-Objective Task Scheduling for Heterogeneo...

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19th international conference on Software technologies, ICSOFT 2024

作者： He, Xutian Zhai, Yanlong Manjang, Ousman Zheng, Yan School of Computer Science and Technology Beijing Institute of Technology Beijing China School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9789897587061

Most existing distributed simulation platforms lack native support for Python scripts, thereby hindering the seamless integration of AI models developed in Python. Some simulation platforms support script languages like Lua or javascript, but scheduling tasks in heterogeneous simulation platforms that are composed of simulation engine and script engine is a challenging problem. Moreover, conventional task scheduling methods often overlook the simulation time constraints, which are essential for simulation synchronization. In this paper, we propose a Heterogeneous Distributed simulation Platform (HDSP) that could integrate different script languages, especially Python, to empower the simulation by leveraging intelligent AI models. A Dynamic Multi-Objective Optimization (D-MO) Scheduler is also designed to efficiently schedule simulation tasks that run across heterogeneous simulation engines and satisfy simulation synchronization constraints. HDSP integrates various script engines, enhancing its adaptability to model dynamic simulation logic using different script languages. D-MO Scheduler optimizes simulation Acceleration Ratio (SAR), Average Weighted Waiting Time (AWWT), and Resource Utilization (RU). The D-MO scheduling problem is characterized as an NP-hard problem, tackled using the NSGA-III algorithm. The simulation time synchronization constraints are implemented through Lower Bound on Time Stamp (LBTS) and lookahead approach. The comparative results and statistical analysis demonstrate the superior efficacy and distribution performance of proposed D-MO Scheduler. The proposed HDSP and D-MO Scheduler significantly boost the capability to support Python-based AI algorithms, and navigate complex scheduling demands efficiently. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Python

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A Layering Approach with Role-based Workflow Modelling for the Enterprise Workflow 19

A Layering Approach with Role-based Workflow Modelling for t...

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19th international conference on Software technologies, ICSOFT 2024

作者： Yehorova, Yevheniia Waldén, Marina Faculty of Science and Engineering Åbo Akademi University Tuomiokirkontori Turku Finland

ISBN: (纸本)9789897587061

Fast and high-quality workflow management is one of the most important tasks in all domains. Workflow modelling has become a common technique that facilitates and supports the business process or rather its automation. Modelling a workflow always depends on the roles that perform tasks. A formal approach is essential for high-quality system modelling. Besides, visualisation tools are required to represent models and work with them. In this paper, we propose an approach for modelling processes for efficient workflow enterprise management. To make this modelling more fluent and flexible, it should be parallelised based on roles. The core of our approach is the Role-based Workflow method. The Role-based modelling is accomplished using a layered development method based on stepwise refinement. Our approach combines straightforward stepwise modelling with the possibility of a quick assessment of the situation at any stage of the workflow by using the UPPAAL tool for modelling and verification. In this paper, we visualise our approach with a healthcare case study. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Business Process Modelling Formal Modelling Layering Modelling Role-based Workflow simulation Stepwise Refinement

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Web Service-Based Capacitated Smart Vehicle Routing Problem with Time Window and Threshold Waste Level for Home Health Care Industry 19

Web Service-Based Capacitated Smart Vehicle Routing Problem ...

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19th international conference on Software technologies, ICSOFT 2024

作者： Sar, Kubra Ghadimi, Pezhman Laboratory for Advanced Manufacturing Simulation and Robotics School of Mechanical & Materials Engineering University College Dublin Belfield Dublin Ireland

ISBN: (纸本)9789897587061

In response to the significant rise of Home Health Care (HHC) due to technological advances, an expanding elderly demographic, and increased disease outbreaks—intensified by the COVID-19 pandemic—there is a pressing demand for better management of the resulting medical waste. This paper explores the development of a web-based decision support system designed to optimize medical waste collection in the HHC sector. The system is built using Flask for backend processes, with a user interface crafted from HTML and CSS, and employs JSON files for data management. It features dynamic routing enabled by two metaheuristic algorithms: the Strength Pareto Evolutionary Algorithm (SPEA-2) and the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The application supports real-time adjustments to vehicle routes and waste production sites, enhancing the efficiency of medical waste management by minimizing human intervention. The design allows for easy adaptation to different sectors and can be expanded to test various scenarios. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Home health care

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Modelling and simulation-Based Evaluation of Twinning Architectures and Their Deployment 14

Modelling and Simulation-Based Evaluation of Twinning Archit...

引用

19th international conference on Software technologies, ICSOFT 2024

作者： Paredis, Randy Vangheluwe, Hans University of Antwerp Department of Computer Science Middelheimlaan 1 Antwerp Belgium

ISBN: (纸本)9789897587061

The Twinning paradigm –subsuming Digital Models, Digital Shadows and Digital Twins– is a powerful enabler for analyzing, verifying, deploying and maintaining complex Cyber-Physical Systems (CPSs). Throughout the (currently quite ad-hoc) creation of such systems, a plethora of choices impacts the functionality and performance of the realized Twinning system comprised of the actual system under study and its twin. The choices that are made have a high impact on the required investment when creating the twin, most notably on the development time and deployment cost. This is especially true when multiple iterations are needed to find the most appropriate level(s) of abstraction and detail, architecture, technologies and tools. As a core contribution, this work follows a Model-Based Systems Engineering methodology: before realizing a Twinning architecture, Discrete EVent system Specification (DEVS) models for deployed architecture alternatives are constructed and simulated, to evaluate their suitability. A simple use-case of a ship moving in one dimension is used as a running example. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Investments

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Digital Twins for Monitoring and simulation of Ship Hull Structures: A Maritime Engineering Perspective 29

Digital Twins for Monitoring and Simulation of Ship Hull Str...

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29th international conference on Information Technology, IT 2025

作者： Mavrić, Tahir Ivošević, Špiro University of Montenegro Faculty of Maritime Studies Kotor Put I Bokeljske brigade 44 Kotor85330 Montenegro

ISBN: (纸本)9798331517649

The key challenges in the maritime industry revolve around digital transformation, reducing carbon emissions (decarbonization), and the implementation of smart and autonomous technologies. Smart Shipping technologies, Electronic Charts and e-Navigation are key elements of modern digitization. Digital twins have emerged as transformative tools in maritime engineering, enabling real-time monitoring, advanced simulations, and predictive maintenance of ship hull structures. This paper explores methodologies for integrating digital twin technology in ship monitoring and simulation, discusses its practical applications, and addresses challenges in implementation. © 2025 IEEE.

关键词： Predictive maintenance

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The Negotiator: Interactive Hostage-Taking Training simulation 14

The Negotiator: Interactive Hostage-Taking Training Simulati...

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19th international conference on Software technologies, ICSOFT 2024

作者： Monaco, Pierre-Benjamin Backlund, Per Gobron, Stéphane Avenue de Provence 7 Lausanne Switzerland Department of Game Technologies School of Computer Science University of Skövde Skövde Sweden Espace de l’Europe 11 Neuchâtel Switzerland

ISBN: (纸本)9789897587061

High-stakes professions like negotiators and pilots utilize simulations for risk-free training, enhancing skills and decision-making. Traditional simulations, while effective, are resource-intensive. Computer simulations offer a scalable alternative but lack realism and sensory engagement, impacting immersion. This study explores mobile phones’ role in simulation-based learning, using a 3D hostage-taking scenario to improve immersion through realistic interactions. The simulation integrates a detailed environment and interactive elements, and demonstrate the potential of mobile technology to enhance training in critical fields by making simulations more lifelike and engaging. This paper is presented alongside a twin paper, both part of the same project Master final project. The second paper introduces a different version of the simulation using a Large Language Model (like ChatGPT) for generating dialogue freely and interactively. It also discusses the results of a study comparing immersion levels between the two versions. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Smartphones

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Developing an Agent-Based simulation Model for Predicting Technology Acceptance at Border Crossing Points 9

Developing an Agent-Based Simulation Model for Predicting Te...

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9th international conference on Automation, Robotics and applications (ICARA)

作者： Shaikh, Sarang Yayilgan, Sule Yildirim Norwegian Univ Sci & Technol NTNU Dept Informat Secur & Commun Technol Gjovik Norway

ISBN: (纸本)9781665489218

In this paper, we are focusing on the use of agent-based approach to generate simulations of various scenarios for border crossing points and making technology acceptance predictions. This paper is related to the Horizon 2020 project METICOS1, for which we are extracting user (traveler and border control staff) perceptions from sources such as online social networks e.g., Twitter, Web, Interviews, Questionnaires etc. However, for the scope of this paper we have only included the synthetic data for the experiments to validate the proposed simulation model. The existing studies made a strong justification for choosing this approach to model the defined problem. To the best of our knowledge, this paper is a first research study focusing on defining how agent-based modeling and simulation can be used to model border crossing scenarios and predicting the acceptance of the border control technologies by explaining travelers' profile based on synthetic data, perceptions based on manual rules. This is important for stakeholders who take decisions related to what technologies to place at the border crossing points and what features such technologies should have to improve throughputs and traveler and border staff satisfaction.

关键词： agents multi-agents technology acceptance agent-based modeling & simulation border control technologies border crossing points

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Enhancing Lean Robotics in Industrial applications Through VPDT, simulation, and TRIZ Integration 24th

Enhancing Lean Robotics in Industrial Applications Through V...

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24th international TRIZ Future conference

作者： Deeb, Eyas Brad, Stelian Tech Univ Cluj Napoca Cluj Napoca 400114 Romania

ISBN: (纸本)9783031759253;9783031759239;9783031759222

Enhancing robotic system efficiency through lean principles is essential in the dynamic landscape of industrial automation. This study introduces a comprehensive framework combining the "Visionary Pathway Design Tool" (VPDT), simulation-based analysis, and TRIZ methodologies to optimize lean concept integration in robotic systems across various production scenarios. The research addresses the complexities of designing intelligent industrial robotic systems under lean management, focusing on enhancing production process resilience and efficiency The approach integrates VPDT's AI-driven problem definition and Ideal Final Result (IFR) visioning capabilities with simulation models developed in tools like RoboDK. It leverages predictive modeling and scenario planning to envision ideal operational states and uses backcasting to map strategic pathways to achieve these goals. TRIZ principles are applied to resolve inherent contradictions in system design, ensuring innovative solutions aligned with lean management objectives. The simulation phase, using real-world industrial scenarios, and reinforcement learning assesses the impact of lean strategies on production process resilience.

关键词： Visionary Pathway Design Tool (VPDT) simulation modeling TRIZ Robotic Systems Lean Principles Industrial Efficiency Predictive modeling Reinforcement Learning

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