Human Aspects of Advanced Manufacturing最新文献

{"title":"Mathematical Models for the Assessment of the Composite Structures of Cylindrical Floating Elements Level of Performances, Used in Brackish Seas.","authors":"Alexandra Gabriela Ene, C. Mihai, Constantin Jomir, M. Jomir","doi":"10.54941/ahfe1003522","DOIUrl":"https://doi.org/10.54941/ahfe1003522","url":null,"abstract":"The safety of life and navigation in the areas with high risk potential adjacent parts to the coast, the fight against pollution with oil fractions, as well as the protection of marine biodiversity, all represent the central objective of this research action. One of the critical points was to statistically assess and decide the performance level of the composite structures of the modular systems with a cylindrical form, designed for the sustainable development of biodiversity and aquatic ecosystems. For this purpose, a database that includes two independent variables related to the physical-mechanical/physical-chemical values of the used raw materials was created. There were considered 1000 values associated to the: i) mass per surface unit; ii) maximum breaking force in the warp; iii) elongation at break in the warp; iv) tearing force in the warp and batting; v) film type. Moreover, 800 values related to the raw material were included for the determination of the length density, resistance and elongation at break, torsion, resistance and elongation at the knot, resistance and elongation at the loop. Descriptive statistics were used for the: a) determination of the parameters that evidence the homogeneity degree of the analysed data; b) assessment of the coefficients of variability that demonstrate the extent to which the data groups are homogeneous or heterogeneous; c) histograms of each variable, which highlight the asymmetry of the distribution, with the predominance of frequencies or variables. The statistical data analysis enabled the prediction of the asymmetries of the data series, related to Skewness and Kurtosis. The links between the considered variables were established according to the values of the correlation coefficients for each of the composite structures studied. The regression equations were developed to express the influence on the resistance to tearing for the transverse/longitudinal system of: mass, resistance and elongation at break of the composite material and resistance to knot breaking of the yarn from composite matrix structure. It was shown that for the prediction of the value of the composite element’s resistance to tearing, the values of this characteristic in the warp should be preferentially considered. In the weft direction, the introduction of additional independent variables is necessary. The two tested variants of composite material were differentiated by the fibrous composition and structure of the reinforcement matrix, for the longitudinal and transversal systems (45//55%PES//PA6.6, ratio: 1:1/100//100 PES//PES, ratio 2:1). Four mathematical models that are approximately normally distributed and follow the cumulative percentage line described by the normal curve were created. The mathematical models demonstrated that, in the design stage, for dynamic conditions (impact factor 2.5), the tear resistance value should be considered in both systems.","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functionalized multilayer structures for burns treatment","authors":"Alexandra Gabriela Ene, E. Visileanu, Stelian Sergiu Maier, D. Popescu, A. Vladu","doi":"10.54941/ahfe1002686","DOIUrl":"https://doi.org/10.54941/ahfe1002686","url":null,"abstract":"Wound healing is a multiphase and multifactorial physiological process. The complexity of this phenomenon makes the healing process very difficult and painful due to several abnormalities. Apart from cellular and biochemical components, a number of external pathways also become active during repair and help the tissue to heal. Wound dressing is one of the main external effectors during the healing process of wounds. Wound is the disruption of the integrity of anatomical tissues caused by exposure to any factor [1-2]. The following characteristics are required for ideal modern wound dressings: bio-adhesiveness to the wound surface, ease of applications, easily sterilised inhibition of bacterial invasion, biodegradability, oxygen permeability, nontoxic, etc [3]. The balance between contraction and wound closure depends on the depth and location of the wound and the presence of complications, such as infection which could impair healing [4]. As a response to this problematic issue, as primary or secondary dressing, complex composites matrix for hemostasis and connective tissue regeneration were developed. The three-layered structure consists of outer layer I which plays the role of carrier, insulator and protector of the underlying layers, being elastic, resistant and submicro-porous (to block the physical access of microorganisms to the lesion), layer II – has the purpose of managing the liquid compositions in the lesion area, macroporous and compressible, with open pores and high tortuosity and layer III - impermeable substrate - non-adherent, biologically inert and microporous. The statistical indicators of the defining variables for each variant of textile structures (intended for layers I and III) are calculated, the histograms, the box plot graphs and the interactive spatial graphs, in the form of band type graphs are drawn. The obtaining of the substrate (II) based on hydrogel included an experimental plan with correlated factors, of the laticeal simplex type A {q, m}, with three factors (q=3) and four discretization intervals on the axes of the major simplex (m=4). The experimental matrix of the plan (dosed mass fractions) was designed, as well as the components of the mixtures. The plan was tested for optimality in D and A criteria. The measured experimental response was the apparent density of the hydrogel. The evaluation of the antimicrobial activity of the textile structures was performed using standardized strains: Staphylococcus aureus ATCC 6538, Escherichia coli ATCC 8739 and Candida albicans ATCC 10231. The biocompatibility assessment of textile supports for layers I and III was performed by MTT viability test and the LDH cell integrity test. The in vitro study for testing the biocompatibility of the functionalized multilayer matrix showed that they are biocompatible because the phenomenon of cell adhesion was present, regardless of the cell line used. In vivo testing according to ISO 10993-6 used the model of thermal burn injury on ","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121970793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exoskeletons at work: opportunities, suggestions for implementation and future research needs","authors":"Lucia Botti, Adriano Paolo Bacchetta, Maniva Oliva, R. Melloni","doi":"10.54941/ahfe1003510","DOIUrl":"https://doi.org/10.54941/ahfe1003510","url":null,"abstract":"Exoskeletons are wearable devices that use mechanical interaction with the body to augment, assist, and enhance physical activity, motion, and body posture. In the last decades, these devices have been extensively studied and applied in motor rehabilitation. More recently, both industrial and academic researchers have been working to explore the effectiveness of exoskeletons in supporting human upper and lower extremities during manual material handling to eliminate or reduce the risk of Work-related Musculoskeletal Disorders (WMSDs). If on the one hand, the effects for the prevention of WMSDs seem evident, on the other hand, some studies are carefully evaluating the overall impact of exoskeletons on the health and safety of workers. Still, there is limited evidence on the long-term effects of these devices. Hence, more researches are necessary to understand the benefits and the potential opportunities arising from the introduction of exoskeletons in the workplace, as well as the potential limitations and risks that may arise for workers. This paper aims to address these challenges, providing the results of a structured analysis of the scientific literature on occupational exoskeletons. A conceptual framework describes the benefits and the potential limitations of occupational exoskeletons, supporting the safe and effective selection and adoption of these devices in workplaces. The findings in this paper support academic, industrial practitioners, and researchers to understand the opportunities behind the use of exoskeletons, the future research needs, and to predict the benefits and the potential limitations of their implementation in workplaces.","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126309813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human-centric research of skills and decision-making capacity in fashion garment manufacturing to support robotic design tool development","authors":"Kat Thiel, S. Postlethwaite","doi":"10.54941/ahfe1003505","DOIUrl":"https://doi.org/10.54941/ahfe1003505","url":null,"abstract":"This paper examines the findings of research combining Human Factors methods with Fashion Design Practice Research to identify existing skills levels of UK sewing machinists, assessing the interest in integrating robotic tooling into low-volume high-value fashion design workflows to help an upskilling and onshoring agenda for UK SME fashion manufacturing. Despite its international reputation for creative design and contributing £32.3 billion to the UK economy (Oxford Economics, 2018), the UK’s fashion industry's levels of automation are much lower than other sectors. Amongst young people who might enter the industry a lack of interest in manufacturing, anxieties about modern-day slavery, poor working conditions, precarity in the jobs market, low levels of pay and training are exacerbating the situation. The challenges of integrating automation, robotics and engineering into a highly creative UK fashion sector with a need for very high levels of agility in micro-production processes can be addressed through joint research from Human Factors and design-led research. This project explored skills levels in garment manufacturing, to inform the steps in research of new tooling concerned with identifying tasks that can be performed by robots, or those needing to remain performed by skilled human makers - importantly identifying requirements for promoting worker satisfaction via new technology and automation. The research evidences sewing machinists’ need for better work fulfilment and personal reward. Currently, the UK fashion manufacturing sector lacks systems that support the application of transferable skills to rejuvenate the jobs market with opportunities that can inspire and entice a young workforce to enter what could be a dynamic field. In a mixed methods study, researchers used questionnaires, desk research, eye-tracking and heart-rate monitoring to evidence cognitive decision-making and tacit/tactile knowledge of sewing machinists. Participants of the questionnaire and eye-tracking trials stressed a sense of reward as one of the main drivers for fulfilment during a sewing project. Investigating the development of new tooling in the context of creatively rewarding activity is therefore a critical next step in design research with Human Factors. This study has delivered perspectives on ways to increase collaboration capability between social science and fashion design research to innovate within manufacturing processes amidst a growing skills shortage in the UK. This tightly limited scope study has been an ideal way of demonstrating the value in this area of research as a platform for a larger collaborative piece of work in the future with a focus on co-investigating, with micro and SME fashion design and robotics businesses, what kind of small-scale tools might need to be designed to enable new forms of on-shored production, leading naturally to a new design aesthetic. These cobot systems could support decision-making for fabrication sequencing","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133028787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing intelligent technologies to support employees in manufacturing planning: applying a scenario planning method to consider future of work","authors":"Marisa Schirmer, Florens L. Burgert, C. Mayer, Susanne Mütze Niewöhner","doi":"10.54941/ahfe1003515","DOIUrl":"https://doi.org/10.54941/ahfe1003515","url":null,"abstract":"The environment of industrial enterprises is characterized not only by increasing volatility and uncertainty, but also by growing complexity and ambiguity (Ködding and Dumitrescu, 2022; Wonsak et al., 2021). For manufacturing process planning and CAM systems in use (CAM: Computer Aided Manufacturing), new requirements arise as a result of growing complexity and individualization of components, tools, and machines (Suhl and Isenberg, 2019; Jayasekara et al., 2019). In order to overcome these requirements, CAx system providers and researchers are currently developing approaches in technology-driven projects on how conventional support systems can be further developed, e.g., by integrating artificial intelligence (AI) (cf. Dripke et al., 2017). In technology development projects, however, the classic fields of work organization as well as other dimensions at the enterprise and individual level should be taken into account in addition to technology (Mütze-Niewöhner et al., 2022). In order to remain competitive, future developments must be considered by enterprises and systematically addressed in their strategic decisions (Ködding and Dumitrescu, 2022; Fink et al., 2005).This paper presents the application of scenario planning in the context of a technology-driven innovation project. Aim of this project with the acronym CAM2030 is to create a new generation of CAM systems by integrating innovative technologies, such as AI, evolutionary algorithms, and cloud computing in order to enable employees to perform manufacturing process planning for the production of complex products quickly, efficiently, and adeptly (cf. Burgert et al., 2022). To anticipate future developments of the work of CAM users, the scenario planning method by Fink and Siebe (2016) was used. Scenarios take into account that the future of work is open and uncertain, but will take place within a limited range of development possibilities (Burmeister et al., 2019). The intention within CAM2030 was to ensure that estimations of future support needs of CAM users are considered in the technology development activities. Since the scenario planning was tested for the first time in the context of the technology-driven project, the focus of this paper is on the application and discussion of the method. First, it provides a brief introduction to the applied scenario planning method according to Fink and Siebe (2016). Second, the procedure is described and methodological findings are discussed, e.g., to what extent the concept helped to successively guide the participants through scenario planning process. Challenges included, e.g., the involvement of multiple stakeholders, time demands on all participants, and enabling participants to focus on the open and uncertain development of CAM planning work within the technology-driven project. Third, as an outlook, it is reflected to what extent the applied method may support a future strategic decision-making process.","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116272511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"'Ergonomic posture assessment and tracking for industrial cyber-physical-human systems: A case study in the heavy metalworking industry","authors":"E. Pontes, Azin Moradbeikie, Rolando Azevedo, Cristiano Jesus, S. Lopes","doi":"10.54941/ahfe1003517","DOIUrl":"https://doi.org/10.54941/ahfe1003517","url":null,"abstract":"In the context of Industry 5.0, collaborative automation and decision support through ubiquitous digital processing provide a privileged ap-proach to examining the human factor in the industry. At the same time, new technologies that have been under development since the in-ception of Industry 4.0, such as IoT devices, artificial vision systems, image processing algorithms, artificial intelligence, and others, have brought important opportunities to the industry, which has historically based its process transformation and management on a preventive ap-proach that helps improving decision-making. Musculoskeletal disor-ders in industrial working scenarios are often associated with the accu-mulation of stress over time, which can impact the muscles, tendons, ligaments, joints, and other parts of the body. To prevent injuries and complications in the short, medium, or long term, Cyber-Physical-Human Systems (CPHS) can be adopted to correct risky actions of op-erators in real-time. This work presents preliminary results regarding the study, understanding, and identification of operator postures in the heavy metalworking industry. The study was based on the comparison of the commonly used methods for ergonomic posture and movement assessment. The adopted approach takes advantage of computer vi-sion for operator pose identification and tracking to effectively detect the most frequently repeating body postures. The most repeated pos-tures are then categorized according to their ergonomic compatibility. To evaluate the proposed approach, a dataset has been acquired based on the observation of real operator actions. Based on the results, the implemented system enables us to actively evaluate the appropriate-ness of workers' postures in real-time.","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117046007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trust evaluation of automated vehicles: A systematic review","authors":"Zhilin Hu, Yangang Xing, Karl J. Proctor, A. Owens, Yifan Zhao","doi":"10.54941/ahfe1003518","DOIUrl":"https://doi.org/10.54941/ahfe1003518","url":null,"abstract":"The rapid development of automated vehicles offers the promising development of driver-vehicle interaction and cooperation. Trust is an important concept to consider for the future implementation of autonomous driving. An inappropriate level of trust can lead drivers to under-trust and reject the system's potential benefits or allow drivers to over-trust and abuse it. Therefore, autonomous vehicles need an appropriate level of trust for drivers to experience the full benefits of autonomous driving. This paper reports a systematic review of the literature to analyse the critical role of trust and also discusses various methods of evaluating the trust between drivers and automated vehicles to promote the use of autonomous driving on the ground.The review surveyed the trust in automated vehicles and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. First, the importance of trust in increasing the acceptance of autonomous driving is investigated. Second, the factors influencing drivers' trust in autonomous driving are grouped and presented. The analysis focuses on individual driver characteristics, automated vehicles and the driving environment, such as driver preference, driving automation system and driving scenarios. Finally, the methodologies to measure trust in autonomous driving are reviewed and analysed. The key measurement indicators include questionnaires, physiological signals such as eye gaze, head and body postures, etc. and psychological signals such as electroencephalogram (EEG).This study is expected to summarise the factors that influence trust and to find reliable and replicable methods to measure trust. The results show that the influence of different factors on trust varies considerably. Currently, questionnaires are the most commonly used subjective measurement method, while psychophysiological measures are a promising objective complement and attract increasing investigations.","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Communication components for Human Intention Prediction – A Survey","authors":"Fahad Khan, Seemal Asif, P. Webb","doi":"10.54941/ahfe1003504","DOIUrl":"https://doi.org/10.54941/ahfe1003504","url":null,"abstract":"In this review we address the communication components for human intention prediction for Human-robot collaboration (HRC). The HRC is the approach in which human and robot(s) work towards achieving the same goal. The interaction can be both levels physical and cognitive. The traditional settings of the HRC system provides fixed robot program based on waypoints or gestures. It is difficult to predefine the instructions of the situation in complex and variable environment. The understanding of human intention on dynamic basis is crucial for the success of such systems. The core character of co-existence of human and the robot is to understand the dynamic scenes of human intentions. To understand the human intention there is need to understand the components of intention communication. This paper provides comprehensive overview about the understanding the intention as communication components and modelling those components by using machine learning technology in HRC. Multiple ways of communicating intention are possible by using speech, action, gesture, haptic, physiological signals, etc. The article details various approaches to understand the human intention communication aspect particularly in the Human Robot Collaboration setting.","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115023491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New ways to design next-generation CAM systems. An integrated approach of co-creation and process modeling","authors":"Nina Rußkamp, Claas Digmayer, E. Jakobs, Florens L. Burgert, Marisa Schirmer, Susanne Mütze Niewöhner","doi":"10.54941/ahfe1002682","DOIUrl":"https://doi.org/10.54941/ahfe1002682","url":null,"abstract":"Computer-Aided Manufacturing systems are common means to increase the flexibility and efficiency of production planning in manufacturing companies. Digital transformation processes increase innovation cycles and product individualization [1] and, by doing so, the complexity of production planning and CAM systems use [2]. In the R&D project CAM2030 a new generation of CAM systems is developed by integrating innovative technologies (AI, cloud computing, evolutionary algorithms). The highly innovative process requires new methods. This paper presents an integrated methodological approach that enriches co-creation methods [3] by integrating visualization methods of process modeling [4]. The methodology was developed in three steps: concept development, concept realization, and concept evaluation. Concept development: Due to the Covid-19 pandemic, a remote co-creation workshop was designed based on two assumptions: (1) Co-creation at an early stage of the innovation process benefits from integrating users’ perspective and need information [5]. (2) Modeling and visualizing CAM planning processes allows to build up a shared understanding of the status quo. Human-centered work design experts compiled, modeled, and visualized the project-specific CAM planning process with the C3 modeling method [4]. Technical communication experts focused on methods and tools to gather need information (requirements for intelligent CAM systems) remotely. The workshop comprises three parts: warm-up challenge to identify no-go design features of CAM systems, discussion of the CAM planning process and model, and derivation of design requirements and automation potential. Each part uses different practices, e.g., teams working in separate breakout sessions, documenting their results in a shared document on Google Docs in real-time. Concept realization: The workshop was conducted in February 2021 via Zoom. The participants (CAM users, software developers, researchers) (n=21) were acquired within the project consortium. The workshop was audio- and video-recorded. The participants’ notes were stored in Google Docs. The transcribed audio data were enriched with additional information, e.g., participants’ notes. After the workshop, the data were used to integrate, categorize, and prioritize need information and to revise the process model. Concept evaluation: The concept was evaluated by the workshop participants and the workshop leader team guided by two research questions: Is this methodological approach suitable for innovation processes? What are the potentials and challenges of the approach? The approach proved to be highly productive. The integration of co-creation and process modeling seems to be a promising approach to involve diverse perspectives in the design of intelligent CAM systems. The process model supported the workshop participants in creating a shared understanding of the CAM planning process and identifying potentials for optimization and automation. The collabo","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conducive Design as an Iterative Process for Engineering CPPS","authors":"F. Kessler, S. Lorenz, Felix Miesen, J. Miesner, F. Pelzer, Marc Satkowski, Anselm Klose, Leonhard Urbas","doi":"10.54941/ahfe1002683","DOIUrl":"https://doi.org/10.54941/ahfe1002683","url":null,"abstract":"To leverage the full potential of cyber-physical production systems (CPPS) in terms of flexibility and adaptability, the development of such systems must go beyond digitization and modularization. During the engineering and operation of CPPS, humans are essential enablers for the system’s changeability. In this paper, we propose a model of an iterative conducive design process that incorporates perspectives and competencies from several research disciplines such as process control, industrial engineering, computer science, and instructional and cognitive psychology. The goal of this approach is to enhance human-machine interaction and to realize efficient functioning of the system via a combination of the unique potentials provided by humans and the system. The proposed iterative approach is exemplified on a practical level in the engineering of a demonstration plant that tests safety systems for modular plants.","PeriodicalId":363648,"journal":{"name":"Human Aspects of Advanced Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129226600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}