Frontiers in Industrial Engineering最新文献

Diffusion of AI value-driven services in the German manufacturing industries—an empirical examination of value-driven service references classified by the business Model Canvas 人工智能价值驱动型服务在德国制造业中的推广--对按 "商业模式画布 "分类的价值驱动型服务参考资料的实证研究

Frontiers in Industrial Engineering Pub Date : 2024-07-26 DOI: 10.3389/fieng.2024.1407367

Patrick Berger, Joerg von Garrel

{"title":"Diffusion of AI value-driven services in the German manufacturing industries—an empirical examination of value-driven service references classified by the business Model Canvas","authors":"Patrick Berger, Joerg von Garrel","doi":"10.3389/fieng.2024.1407367","DOIUrl":"https://doi.org/10.3389/fieng.2024.1407367","url":null,"abstract":"This study investigates the diffusion of AI-based service applications within the business models of German manufacturing industries, surveying 162 decision-makers. The integration of AI into business model is assessed through the Business Model Canvas (BMC) framework, evaluating its value in terms of effectiveness as well as efficiency. Rather than focusing on specific use cases, the study delves into the intended usage of value-driven AI services references to enhance effectiveness and efficiency across various elements of the business models. Through this research, eleven service values have been identified. Each service vale corresponds to a distinct element of the BMC. Decision-makers were surveyed using a Confirmation/Disconfirmation (C/D) paradigm to measure the disparities between their current and target performance levels. Consequently, this study provides valuable insights from the perspective of decision makers regarding the current and desired state of AI integration in the German manufacturing industry, taking into account AI usage or no AI usage at the time of data collection.","PeriodicalId":250772,"journal":{"name":"Frontiers in Industrial Engineering","volume":"48 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799757","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}

引用次数: 0

Strategic implementation of ED&I: unveiling the multifaceted impact on innovation, governance, and ethical conduct in engineering organizations 教育与创新的战略实施：揭示对工程组织的创新、管理和道德行为的多方面影响

Frontiers in Industrial Engineering Pub Date : 2024-07-19 DOI: 10.3389/fieng.2024.1426631

Yagmur Atescan-Yuksek, John Patsavellas, Konstantinos Salonitis

引用次数: 0

We need a theoretical framework for the modernization of industrial legacy systems 我们需要一个工业遗留系统现代化的理论框架

Frontiers in Industrial Engineering Pub Date : 2023-11-23 DOI: 10.3389/fieng.2023.1266651

Paulo Garcia, Warisa Sritriratanarak

引用次数: 0

Workforce planning in project-driven companies: a high-level guideline 项目驱动型企业的劳动力规划：高级指南

Frontiers in Industrial Engineering Pub Date : 2023-11-16 DOI: 10.3389/fieng.2023.1267244

G. J. L. Micheli, A. Martino, F. Porta, A. Cravello, M. Panaro, A. Calabrese

{"title":"Workforce planning in project-driven companies: a high-level guideline","authors":"G. J. L. Micheli, A. Martino, F. Porta, A. Cravello, M. Panaro, A. Calabrese","doi":"10.3389/fieng.2023.1267244","DOIUrl":"https://doi.org/10.3389/fieng.2023.1267244","url":null,"abstract":"Workforce Planning (WFP) has become a crucial part of the governance of project-driven companies and has been deemed fundamental to drive critical decisions on resource management. To manage manpower planning, companies independently developed internal procedures according to their sector, size, and skills. Despite the efforts to create a reliable workforce planning process, a lack of knowledge, standardization and sharing might lead to misalignment and to heterogeneous approaches among different organizations. This study aims at investigating the current knowledge of the WFP, pointing at the detection of its key factors in terms of process steps, application context, methods, input data, actors, tools and reports’ frequency. Additionally, it attempts to define WFP high-level guidelines which can be generally valid for project-driven organizations. The research seeks to meet these goals by combining the results of the academic literature review on the WFP with the findings of the empirical study in which the representatives of ten project-based enterprises participated. The paper describes the key principles of WFP and its main process’ sections, offering high-level guidelines in terms of recommended process steps, actors involved, operative models, data input, report’s frequency, and tools. The presented features, generated by the literature review and the empirical study, are meant to be generally applicable to project-driven companies and to support the practitioners initiating this process in their organization.","PeriodicalId":250772,"journal":{"name":"Frontiers in Industrial Engineering","volume":"162 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266986","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}

引用次数: 0

Conceptual application of digital twins to meet ESG targets in the mining industry 数字孪生的概念应用，以满足采矿业的ESG目标

Frontiers in Industrial Engineering Pub Date : 2023-07-21 DOI: 10.3389/fieng.2023.1223989

R. Cranford

{"title":"Conceptual application of digital twins to meet ESG targets in the mining industry","authors":"R. Cranford","doi":"10.3389/fieng.2023.1223989","DOIUrl":"https://doi.org/10.3389/fieng.2023.1223989","url":null,"abstract":"Environmental, social, and governance (ESG) focus continues to gain traction in the mining industry through publicly made policies, promises, and commitments. In 2022, both ESG and technological investments were identified in the top trends by Deloitte and in the top risks and opportunities by Ernst and Young. As the first step in the value chain, the mining industry sets the foundation for most industries in meeting their ESG targets. Beyond providing sustainable materials, the mining industry is required to produce the critical minerals needed for the creation of sustainable technologies. With an ongoing debate on how ESG factors should be measured and inconsistent reporting between mining companies, there remains a gap in consistent and auditable progress in ESG reporting. This study evaluates the application of a digital twin technology to bridge the gap in ESG reporting. By examining the use of digital twin technology through thirty case studies and theoretical applications across industries that share commonalities with mining, this study analyzes the opportunity to apply the technology to the mining industry. The research found that digital twin technology can be applied across all mining project phases and can provide added value to improve multiple ESG factors and measure them. Though the research identifies that there are benefits from the application of digital twin technology to all project phases, and across all three ESG dimensions, there remains challenges to implementation. Successful implementation of digital twin technology will require the right people with the right capabilities. Though suggested that the mining industry should let other industries stabilize the digital twin market due to their history and substantial investment in data systems, it is arguable through literature, case studies and leading mining companies’ investments in precursor technologies to digital twins, that solutions are available and scalable, and the time to wait is over.","PeriodicalId":250772,"journal":{"name":"Frontiers in Industrial Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129937426","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}

引用次数: 0

Grand challenges in industrial informatics 工业信息学的巨大挑战

Frontiers in Industrial Engineering Pub Date : 2023-02-02 DOI: 10.3389/fieng.2023.1100340

L. Camarinha-Matos

{"title":"Grand challenges in industrial informatics","authors":"L. Camarinha-Matos","doi":"10.3389/fieng.2023.1100340","DOIUrl":"https://doi.org/10.3389/fieng.2023.1100340","url":null,"abstract":"Industrial Informatics has been a key enabler and even a main inducer of novel developments in industrial engineering along the last decade. This relevant role has become more visible in the context of the ongoing digital transformation processes, triggered by the Industry 4.0 “movement.” The so-called fourth industrial revolution is, in fact, the result of a convergence and integration of multiple information and communication technologies (Camarinha-Matos et al., 2019) (Zheng et al., 2021) (Alexa et al., 2022). Although initially focused on the integration of the cyber and physical worlds, as reflected in the terms “Cyber-Physical Systems” and “Internet of Things”, soon the idea was gradually expanded by the addition of “smartness”/“intelligence” facets, as reflected in the terms “smart devices”, “smart sensors”, “smart machines”, “smart systems”, and “smart factories”. As Industry 4.0 became a kind of buzzword, with strong political support worldwide, several other technologies, often branded as “exponential technologies”, and including intelligent robotics, artificial intelligence/machine learning, nanotechnologies, neuro-technologies, sensing and perception, additive manufacturing/3D printing, mobile computing, etc., joined the movement and helped create momentum driving significant industrial transformation and even revitalization. More recent research agendas, as the European Commission’s Industry 5.0 (Breque et al., 2021) (Maddikunta et al., 2022) and Society 5.0 (Broeckaert, 2022) (Deguchi et al., 2020), in addition to a greater emphasis on smartness/artificial intelligence, put the need to consider sustainability and human-centricity aspects more clearly on the table. This is also well aligned with the “UN Agenda 2030 for sustainable development” (Division for Sustainable Development Goals (DSDG), 2015). The field of Industrial Informatics is thus called upon to move from a purely techno-centric perspective, which mainly characterized Industry 4.0, to a more general perspective in which general societal concerns and human-centric developments are required.","PeriodicalId":250772,"journal":{"name":"Frontiers in Industrial Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128032704","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}

引用次数: 0