SwePub - search: L773:0891 7736

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1.	Andersson, Jon, 1985, et al. (author) Environmental Activity Based Cost using Discrete Event Simulation 2011 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781457721083 ; , s. 891-902 Conference paper (peer-reviewed)abstract Discrete event simulation (DES) provides engineers with a flexible modeling capability for extensive analysis of a production flow and its dynamic behavior. Activity based costing (ABC) modeling can pro-vide additional knowledge about the monetary costs related to the manufacturing processes in DES. In addition, ABC modeling has been proposed as a tool for environmental impact analysis. Thus, previous studies have separately brought ABC into DES and ABC into environmental impact analysis. Bringing all three areas together, an ABC environmental simulation could provide deeper understanding about envi-ronmental impacts in the manufacturing processes than a regular Life Cycle Assessment (LCA) analysis. This paper proposes to use ABC modeling in conjunction with DES to perform a more detailed economic and environmental impact cost analysis. It is emphasized that the time to perform both analysis in one simulation is shorter or equal to perform them separately. Moreover, the approach can resolve some LCA problems.
2.	Andersson, Jon, 1985, et al. (author) Evaluation of methods used for life-cycle assessments in Discrete Event Simulation 2012 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781467347792 Conference paper (peer-reviewed)abstract The incitements from society for life-cycle assessment (LCA) and credible ecolables are ever-increasingand often important for successful marketing of products. Robust assessment methods are important forcomparable, useful and trustworthy LCAs and ecolables. In order to improve the metrics of a product’secolable, is it important to fully understand its production system. Discrete Event Simulation (DES)models are able to provide more detailed information than traditional LCA approaches. Therefore,methods used to combining LCA in DES have been developed during the last decade. The combinedapproaches have matured and the experiences grown. This article compares six previous cases and aims tosummarize and discuss their experiences to aid future development. The results show where it isspecifically important to make good decisions throughout the modeling methodology, for example goaland scope definition, trustworthy input data for sensitive parts, and communicable impact categories.
3.	Andreasson, Hannes, et al. (author) Utilizing discrete event simulation to support conceptual development of production systems 2019 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2019, s. 2073-2084 Conference paper (peer-reviewed)abstract Discrete Event Simulation (DES) is a well-reputed tool for analyzing production systems. However, the development of new production system concepts introduces challenges from uncertainties, frequent concept changes, and limited input data. This paper investigates how DES should be applied in this context and proposes an adapted simulation project methodology that sets out to deal with the identified challenges. Key adaptations include parallel and iterative methodology steps, and close involvement of the simulation team in the development of the new concept. The proposed methodology has been applied and evaluated in an industrial case study during the development of a new production system concept. The findings show that the methodology can reduce the impact of the identified challenges and provide valuable feedback which contributes to the development of both the simulation model and the production system concept. Further, an evaluation of investments in new technology can be better facilitated.
4.	Barletta, Ilaria Giovanna, 1988, et al. (author) Assessing a proposal for an energy-based overall equipment effectiveness indicator through discrete event simulation 2015 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781479974863 ; 2015-January, s. 1096-1107 Conference paper (peer-reviewed)abstract New challenges demand that manufacturing companies adopt sustainable approaches and succeed in this adoption. Energy efficiency plays a key role in achieving sustainability goals, and performance indicators are necessary beyond measurement of data to evaluate energy efficiency. In this landscape, scalable and easy-to-understand metrics providing an energy competitiveness degree of manufacturing resources are currently missing. The study aims to test through simulation applicability and potential offered by a novel Energy Overall Equipment Effectiveness - Energy OEE - indicator for discrete manufacturing firms. A simulation of a discrete manufacturing CNC machine case is used to evaluate the applicability of using Energy OEE assessment for management decision support. As a result, this study paves the way to a better exploitation of data that energy monitoring and sensor technology aim to offer in the future.
5.	Berglund, Jonatan, 1983, et al. (author) Using 3D Laser Scanning to Support Discrete Event Simulation of Production Systems: Lessons Learned 2015 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2015-January, s. 2990-2999 Conference paper (peer-reviewed)abstract Using 3D laser scanning, the spatial data of an entire production system can be captured and digitalized ina matter of hours. Such spatial data could provide a current state representation of the real systemavailable at the hand of the simulation engineer. The purpose of this paper is to evaluate the use of 3Dlaser scanning in Discrete Event Simulation (DES) projects in the area of production systems. Theevaluation relies on three simulation studies performed with the support of 3D laser scanning. 3D scandata, if available, can support most steps in a DES study. Particularly, the 3D scan data acts as a referencemodel when formulating the conceptual model and collecting input data. During model building the scandata provides physical measurements for accurate positioning of simulation objects. Furthermore the scandata can be used for photorealistic visualization of the simulated environment without requiring any CADmodeling.
6.	Bokrantz, Jon, 1988, et al. (author) A Methodology for Continuous Quality Assurance of Production Data 2016 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2016-February, s. 2088-2099 Conference paper (peer-reviewed)abstract High quality input data is a necessity for successful Discrete Event Simulation (DES) applications, and there are available methodologies for data collection in DES projects. However, in contrast to standalone projects, using DES as a day-to-day engineering tool requires high quality production data to be constantly available. Unfortunately, there are no detailed guidelines that describes how to achieve this. Therefore, this paper presents such a methodology, based on three concurrent engineering projects within the automotive industry. The methodology explains the necessary roles, responsibilities, meetings, and documents to achieve a continuous quality assurance of production data. It also specifies an approach to input data management for DES using the Generic Data Management Tool (GDM-Tool). The expected effects are increased availability of high quality production data and reduced lead time of input data management, especially valuable in manufacturing companies having advanced automated data collection methods and using DES on a daily basis.
7.	Bärring, Maja, 1988, et al. (author) A VSM Approach to Support Data Collection for a Simulation Model 2017 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; , s. 3928-3939 Conference paper (peer-reviewed)abstract Simulation is a powerful tool to analyze and help in the decision making process of a production system. It is capable of delivering a dynamic analysis, both of the existing system and the future planned system. One major challenge with simulation projects however, is the time required at the initial stage when collecting data. For this study, Value Stream Mapping (VSM) has been selected as a complementary method for the data collection. VSM has been widely spread in industry, and it is a suitable method for identifying value streams and visualizing flows. In this study, the applicability of VSM for data collection is examined for a production system with complex and non-linear flows. The results of this study confirms that VSM can support in the data collection phase, but entails the support from subject matters.
8.	Bärring, Maja, 1988, et al. (author) Challenges of data acquisition for simulation models of production systems in need of standards 2018 In: Proceedings - Winter Simulation Conference. - : Institute of Electrical and Electronics Engineers Inc.. - 0891-7736. ; 2018-December, s. 691-702 Conference paper (peer-reviewed)abstract In this paper, we analyze the challenges in data acquisition for simulation models of production systems based on two cases from the robotics and aerospace industries. Unlike prior research, we focus not only on the challenges of data acquisition but also on how these challenges affect decisions in production systems. We examine this linkage using the concepts of strategic objectives, decision areas, and internal fit from operations management literature. Empirical findings show that for data acquisition to lead to improved production system performance it is necessary to develop standards. Standards should consider ownership of data by different functions within a manufacturing company, alignment of data to performance measurements, and the connection between data, information, and production decisions. Using these concepts, this paper proposes a set of guidelines that facilitate the standardization of data acquisition for simulation models in production systems. We conclude by discussing the managerial implications of our findings.
9.	Chari, Arpita, 1986, et al. (author) Modeling Risk Prioritization of a Manufacturing Supply Chain using Discrete Event Simulation 2023 In: Proceedings - Winter Simulation Conference. - 0891-7736. Conference paper (peer-reviewed)abstract Supply chains face a myriad of adverse risks that impact their daily operations and make them vulnerable. In addition, supply chains continue to grow in size and complexity which further sophisticates the problem. Lack of a structured approach and limitations in existing risk management methods contribute towards effective mitigation strategies not being properly developed. In this paper, we develop a discrete event simulation modelling approach to quantify the performance and risk assessment of a manufacturing supply chain in Sweden which is under the impact of risks. This approach could support decision makers by prioritizing risks according to their performance impact and facilitating the development of mitigation strategies to enhance the resilience of the supply chain. The conceptual digital model can also be used to generate synthetic data to build an artificial intelligence-enhanced predictive demonstrator model to showcase capabilities for building data-driven resilience of the supply chain. 2.14.0.0
10.	Chen, Siyuan, 1997, et al. (author) Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance 2023 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; , s. 2008-2019 Conference paper (peer-reviewed)abstract Digital twin has emerged as a key technology in the era of smart manufacturing and holds significant potential for maintenance. However, gaps remain in understanding stakeholders’ requirements and how this technology support maintenance-related decisions. This paper aims to identify stakeholders’ requirements for digital twin implementation and examine the role of digital twin in supporting maintenance actions and decision-making process. Semi-structured interviews and a workshop involving manufacturing practitioners and researchers were conducted to attain these goals. Furthermore, an in-depth qualitative analysis of the interview data was carried out. The results shed light on the current state of digital twin adoption, implementation challenges, requirements, supported decisions and actions, and future demand characteristics. By integrating the findings from the literature review and interview analysis, this study outlines the requirements for the digital twins as expressed by industry stakeholders that will be used and tested in the drone factory digital twin model.
11.	Dalstam, Amanda, et al. (author) A stepwise implementation of the virtual factory in manufacturing industry 2018 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2018-December, s. 3229-3240 Conference paper (peer-reviewed)abstract A big challenge for manufacturers today is to create a flexible and efficient production system. One way of managing this challenge is to establish a virtual factory, a virtual model of the production unit. Working smarter by using the advantages that digitalization implies enables production of personalized products at increasing speed. This paper explores how to implement such a concept by stepwise increasing the maturity of the virtual factory. Evaluated at a large-scale Swedish manufacturer, local needs and enabling technologies benchmarked at industry leaders have been identified and strategically mapped to their corresponding maturity step. This paper shows that the implementation of a virtual factory relies on standardized work procedures, ensuring its use as a decision aid throughout the company. Implementing a virtual factory in this manner will facilitate user-driven development and more accurate decision making, generating support for efficient production systems.
12.	Despeisse, Mélanie, 1985 (author) Games and simulations in industrial engineering education: A review of the cognitive and affective learning outcomes 2018 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2018-December, s. 4046-4057 Conference paper (peer-reviewed)abstract Gamification and experiential learning are increasingly used in education as they create an immersive environment to stimulate students and promote deeper learning. In industrial engineering education, computer simulations and digital games are commonly used to teach technical skills in supply chain management and production planning. Used alongside other teaching methods, they allow students to apply theories learnt and reflect on the impact of their decisions. Other “hands-on” games can also foster the development of professional skills such as leadership, teamwork and communication. Focusing on serious games and game-based learning in industrial engineering, this paper reviews examples to discuss games' benefits and drawbacks as educational tools. Finally, the author suggests ways for game developer to consider how game aspects align with learning outcomes in the cognitive and affective domains.
13.	González Chávez, Clarissa Alejandra, 1994, et al. (author) Achieving Sustainable Manufacturing by Embedding Sustainability KPIs in Digital Twins 2022 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2022-December, s. 1683-1694 Conference paper (peer-reviewed)abstract The manufacturing industry requires highly flexible and dynamic production lines that shift from conventional mass production to cover the requirements and fulfill demands. Customized production may reduce production waste but has not been studied to a wide extent. The advancement of digital technologies, e.g., Digital Twins, enable factories to collect real-time data. Also, they can enable remote monitoring of the production processes by establishing bi-directional flows of data between the physical and virtual spaces. This study draws its sight to the potential of digital manufacturing to improve sustainability in production systems by making use of Digital Twins. This research work performs a literature review and identifies suitable KPIs for a DES model and evaluates the impact in a drone factory in four scenarios that test final assembly processes. The findings of this work can pose a first step toward the future development of a digital twin.
14.	Gopalakrishnan, Maheshwaran, 1987, et al. (author) Buffer Utilization Based Scheduling of Maintenance Activities by a Shifting Priority Approach – A Simulation Study 2016 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781509044863 ; 0, s. 2797-2808 Conference paper (peer-reviewed)abstract Machine breakdowns and improper maintenance management cause production systems to function inefficiently. Particularly, breakdowns cause rippling effects on other machines in terms of starved and blocked states. Effective planning of maintenance can lead to improved production system efficiency. This paper aims at improving system throughput through prioritization of maintenance work orders by continuously monitoring buffer levels. This paper proposes and tests a new approach to determine the machine priorities for dynamic scheduling of maintenance work orders by identifying buffer utilization. The approach is exemplified in an industrial use-case. The results have shown to increase throughput in comparison to a first-come-first-served approach for executing maintenance work orders. This new approach relies on simple data collection and analysis, which makes it a viable option for industries to implement with minimal effort. The results can suggest that systems view for maintenance prioritization can be a powerful decision support tool for maintenance planning.
15.	Gopalakrishnan, Maheshwaran, 1987, et al. (author) Simulation-based planning of maintenance activities by a shifting priority method 2015 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2015-January, s. 2168-2179 Conference paper (peer-reviewed)abstract Machine failures are major causes of direct downtime as well as system losses (blocked and idle times) in production flows. A previous case study shows that prioritizing bottleneck machines over others has the potential to increase the throughput by about 5%. However, the bottleneck machine in a production system is not static throughout the process of production but shifts from time to time. The approach for this paper is to integrate dynamic maintenance strategies into scheduling of reactive maintenance using Discrete Event Simulation. The aim of the paper is to investigate how a shifting priority strategy could be integrated into the scheduling of reactive maintenance. The approach is applied to and evaluated in an automotive case-study, using simulation for decision support. This shows how to shift prioritization by tracking the momentary bottleneck of the system. The effect of shifting priorities for planning maintenance activities and its specific limitations is discussed.
16.	Jain, Sanjay, et al. (author) Supply Chain Carbon Footprint Tradeoffs Using Simulation 2012 In: Proceedings - Winter Simulation Conference. - 0891-7736. Conference paper (peer-reviewed)abstract Supply chain design and operational decisions may impact the carbon footprint of the products flowingthrough. It is a challenge to determine the carbon footprint and even more challenging to understand theimpact of design and operational decisions on the footprint. This paper presents a hierarchical simulationbasedapproach for estimating the carbon footprint of products flowing through a supply chain. SystemsDynamics simulation is used at a high abstraction level to understand the major factors that may affect thecarbon footprint. Discrete event simulation is then used to delve down in detail for evaluating the criticalstages in the supply chain. A case study for a closed-loop supply chain of forklift brakes is used as an exampleof implementation of the approach.
17.	Johansson, Björn, 1975, et al. (author) Enabling Flexible Manufacturing Systems by Using Level of Automation as Design Parameter 2009 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781424457700 ; , s. 2176-2184 Conference paper (peer-reviewed)abstract Handling flexibility in an ever changing manufacturing environment is one of the key challenges for a successful industry. By using tools for virtual manufacturing, industries can analyze and predict outcomes of changes before taking action to change the real manufacturing systems. This paper describes a simulation tool that can be used to study the effect of level of automation issues on the design of manufacturing systems, including their effect on the overall system performance, ergonomics, environment, and economic measures. Determining a suitable level of automation can provide a manufacturing system with the flexibility needed to respond to the unpredictable events that occur in factory systems such as machine failures, lack of quality, lack of materials, lack of resources, etc. In addition, this tool is designed to use emerging simulation standards, allowing it to provide a neutral interface for both upstream and downstream data sources.
18.	Kibira, D., et al. (author) Framework for standardization of simulation integrated production planning 2016 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 0, s. 2970-2981 Conference paper (peer-reviewed)abstract Production planning is a complex problem that is typically decomposed into decisions carried out at different control levels. The various methods used for production planning often assume a static environment, therefore, the plans developed may not be feasible when shop floor events change dynamically. In such an operating environment, a system simulation model updated with real-Time data can be used to validate a proposed plan. In this paper, we propose a framework to evaluate and validate the feasibility of high-level production plans using a simulation model at a lower level thereby providing a base for improving the upper level plan. The idea is demonstrated with an assembly plant where the aggregate plan is evaluated using discrete event simulation (DES) of shop floor operations with resources allocated according to constraints imposed by the aggregate plan. We also discuss standardized integration interfaces required between simulations and production planning tools.
19.	Lind, Salla, et al. (author) Linking ergonomics simulation to production process development 2008 In: 2008 Winter Simulation Conference, WSC 2008; Miami, FL; United States; 7 December 2008 through 10 December 2008. - 0891-7736. - 9781424427086 ; , s. 1968-1973 Conference paper (peer-reviewed)abstract Production development can conflict with productionergonomics and management of environmental impacts. Inthis paper, we describe how ergonomics can be assessed inproduction system design by means of a joint simulationtool. The tool enables ergonomics and environmentalimpacts assessment in conjunction with production processdevelopment. The ergonomics sub-tool is based on adigital human model, which has been improved byintroducing an updated data measurement system andneural network processing and inference functionality. Theresults will extend the new simulation modellingcapabilities of the existing digital human model byincreasing the motion prediction accuracy and providingfreedom to model a multitude of task-related motions in arealistic way.
20.	Lindskog, Erik, 1988, et al. (author) A Method for Determining the Environmental Footprint of Industrial Products Using Simulation 2011 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781457721083 ; , s. 2131-2142 Conference paper (peer-reviewed)abstract Effective assessment and communication of the environmental footprint is increasingly important to process development and marketing purposes. Traditionally, static methods have been applied to analyze the environmental impact during a product’s life cycle; however, they are unable to incorporate dynamic aspects of real world operations. This paper discusses a method using Discrete Event Simulation (DES) to analyze production systems and simultaneously enable labeling of products’ environmental footprint. The method steps include data management, determination of environmental footprint, and communication of the results. The method is developed during a case study of a job-shop-production facility. To evaluate theDES method, the DES results were compared with the results of a Simplified Life Cycle Assessment (SLCA) conducted on the same production system. The case study demonstrates the possibility for the DES method to determine the variation between products in terms of the environmental footprint andhighlights some of the difficulties involved.
21.	Lindskog, Erik, 1988, et al. (author) Combining Point Cloud Technologies with Discrete Event Simulation 2012 In: Proceedings - Winter Simulation Conference. - 0891-7736. Conference paper (peer-reviewed)abstract Utilizing point cloud models from 3D laser scans for visualization of manufacturing facilities and systemsprovides highly realistic representations. Recent developments has improved the accuracy of point cloudmodels in terms of color and positioning. This technology has the potential to generate savings in timeand money compared to traditional methods. Visualization in terms of accurate geometrical factory datahas traditionally not been feasible when developing discrete event simulation (DES) models. Currently,methods for utilizing point clouds in DES models are lacking. Better visualization could improve communicationof results and make them available to a wider target audience. Creating methods to combinepoint cloud technologies with DES would enable realistic visualization and improved accuracy includinglevel of detail regarding geometric representation in DES models.
22.	Lopes, Paulo Victor, 1996, et al. (author) Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP 2023 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9798350369663 ; 2023, s. 1996-2007 Conference paper (peer-reviewed)abstract The concept of Digital Twins has gained significant attention in recent years due to its potential for improving the performance of production systems. One promising area for Digital Twins is Smart Maintenance, enabling the simulation of different strategies without disrupting operations in the real system. This study proposes a high-level framework to integrate Digital Twins to support Smart Maintenance data-driven decision making in production lines. We implement, then, a case study of a lab scale drone factory to demonstrate how the production line performance evaluation is made under different what-if maintenance scenarios. The effects of this Smart Maintenance decision analysis approach were evaluated according to Key Performance Indicators from literature. The identified contributions are: (i) Digital Twin demonstrator focused on smart maintenance; (ii) implementation of smart maintenance data-driven decision analysis concepts; (iii) design and evaluation of what-if maintenance scenarios.
23.	Lundgren, Camilla, 1989, et al. (author) The Value of 5G Connectivity for Maintenance in Manufacturing Industry 2017 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; , s. 3964-3975 Conference paper (peer-reviewed)abstract Digitalization is an ongoing revolution within manufacturing industry. 5G technology is expected to play an important role in ensuring connectivity. Digitalized factories set high requirements on technical availability, and therefore also on maintenance performance. However, it is difficult to get top-level decision makers to invest in maintenance, since the effects are usually deferred and difficult to verify up front. For quantifying long term effects, Discrete Event Simulation (DES) is identified as a powerful tool. In this study, DES was combined with established maintenance concepts to provide analysis of a real-world industrial 5G pilot implementation. Maintenance concepts were used to identify relevant inputs and outputs to the simulation model. The model was tested on a use case, where 5G enables support for maintenance tasks. By applying DES and maintenance concepts on more use cases, there is a potential to quantify effects of maintenance and enable digitalized production in a larger scale.
24.	Nåfors, Daniel, 1990, et al. (author) Realistic virtual models for factory layout planning 2017 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; , s. 3976-3987 Conference paper (peer-reviewed)abstract Factory layout planning is essential for manufacturing companies when designing or redesigning production systems. The layout planning usually involves 2D CAD applications, sometimes based on faulty data. Difficulties in communicating and discussing layout alternatives using such applications can lead to critical errors. This paper aims to investigate and evaluate the usefulness of realistic 3D layout models in the layout planning process, addressed by an industrial study of how existing methods for visualization can be applied. This paper shows that utilizing a realistic and accurate layout model allows for fruitful discussions while several potential mistakes can be avoided. It also shows benefits in evaluating a layout and the model’s accuracy in immersive virtual reality where a better perspective of the layout can be acquired. Having such evaluated layout models will enable more accurate simulation models, based on real physical requirements.
25.	Nåfors, Daniel, 1990, et al. (author) Simulation in hybrid digital twins for factory layout planning 2020 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2020-December, s. 1619-1630 Conference paper (peer-reviewed)abstract As manufacturing companies make changes to their production system, changes to the factory layout usually follow. The layout of a factory considers the positioning of all elements in the production system, and can contribute to the overall efficiency of operations and the work environment. The process of planning factory layouts affects both installation of the changes and operation of the production system, so the effects can be utilized for a long period of time. By combining 3D laser scanning, Virtual Reality, CAD models, and simulation modelling in a hybrid digital twin, this planning process can be noticeably improved yielding benefits in all phases. This is exemplified via a novel longitudinal industrial study using participant observation to gather data. Findings from the study show that the factory layout planning process can be innovated by smart use of modern digital technologies, resulting in better solution and more informed decisions with reduced risk.
26.	Skoogh, Anders, 1980, et al. (author) Constructive Alignment in Simulation Education 2012 In: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781467347815 Conference paper (peer-reviewed)abstract Recent and ongoing developments are significantly augmenting both the demand for and the expectationsof university simulation education. These developments include increased use of simulation in industry,increased variety of economic segments in which simulation is used, broader variation in demographics ofsimulation students, and higher expectations of both those students and their eventual employers. To meetthe challenges these developments impose, it is vital that simulation educators aggressively and innovativelyimprove the teaching of simulation. To this end, we explore the application of constructive alignmentconcepts in simulation education, and compare and contrast its application in the context of twouniversity course offerings. These concepts suggest continuation of some practices and revision of othersrelative to the learning objectives, learning activities, and assessment tasks in these and other simulationcourses.
27.	Skoogh, Anders, 1980, et al. (author) Towards Continuously Updated Simulation Models: Combining Automated Raw Data Collection and Automated Data Processing 2010 In: Proceedings of the 2010 Winter Simulation Conference. - 0891-7736. - 9781424498642 ; , s. 1678-1689 Conference paper (peer-reviewed)abstract Discrete Event Simulation (DES) is a powerful tool for efficiency improvements in production. However, instead of integrating the tool in the daily work of production engineers, companies apply it mostly in single-purpose studies such as major investment projects. One significant reason is the extensive time-consumption for input data management, which has to be performed for every simulation analysis to avoid making decisions based upon obsolete facts. This paper presents an approach that combines automated raw data collection and automated processing of raw data to simulation information. MTConnect is used for collection of raw data and the GDM-Tool is applied for data processing. The purpose is to enable efficient reuse of DES models by reducing the time-consumption for input data management. Furthermore, the approach is evaluated using production data from the aerospace industry.
28.	Tafuri, Sebastian, 1981, et al. (author) Automatic Collision Free Path Planning in Hybrid Triangle and Point Models: A Case Study 2012 In: Winter Simulation Conference, Berlin, December 2012. - 0891-7736. - 9781467347792 Conference paper (peer-reviewed)abstract Collision free path planning is a key technology for assembly analysis, robot line optimization, and virtual assessment of industrial maintenance and service. The ability to compute collision free paths relies on the ability to quickly and robustly query the proximity of the planning object to its surroundings. Path planning with triangulated models is a well studied problem, however, hybrid models comprising both points and triangles present new and difficult challenges. Working directly with point clouds is becoming more relevant because it allows one to scan existing industrial installations and path plan with the scan data instead of possibly incorrect planned layouts. In this paper we implement and analyze a new hybrid path planning interface on a case study in robot line manufacturing and demonstrate its feasibility in comparison to an existing CAD model of the work environment and show that triangulating the original point cloud is undesirable for path planning.
29.	Taylor, Simon J.E., et al. (author) Using Simulation and Digital Twins to Innovate: Are we Getting Smarter? 2021 In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2021-December Conference paper (peer-reviewed)abstract Digital Twins have recently emerged as a major new area of innovation. Digital Twins are often found at the core of 'smart' solutions that have also emerged as major areas of innovation. Modeling and Simulation (MS) approaches create a model of a real-world system that is linked to data sources and is used to simulate and predict the behavior of its real-world counterpart. On the face of it Digital Twins and MS appear to be similar, if not the same. Is this actually the case? Are the two fields really separate or is Digital Twin research re-inventing the 'MS wheel'? To investigate these relationships, in this panel we will explore some contemporary innovations with Digital Twins and discuss whether or not Digital Twins is a contemporary 'refresh' or 'rebranding' of MS or if there are exciting new synergies.

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