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Redefining supply chain and related aspects through integration of 3D printing technology 通过整合3D打印技术,重新定义供应链及相关方面
Pub Date : 2025-01-01 DOI: 10.1016/j.smse.2025.100030
Divyanshu Jha, Rutika Sawant, Samvas Mukherjee, Ankitkumar Ashvinbhai, Ram Krishna Upadhyay
The present work evaluates the transformational impact of 3D printing technology in recreating the automotive industry's supply chain. The research indicates 3D printing as one of the many revolutionary changes the technology provides, its role, particularly within product complex customization, and fast prototype creation. The methodology is built on a mixed-methods approach, where quantitative analysis and in-depth surveys, interviews, telephonic conversations, and case studies with the representatives of the 3D printing industry are being implemented. The survey includes the experiences and knowledge of car manufacturers and components suppliers. It focuses on their approaches to introducing 3D printing, its benefits, and the constraints this technology imposes on operations. It studies 3D printing technology and benefits like improved flexibility in car manufacturing. It makes it easy for car makers to be application-oriented in response to changes and adapt their products to the market and customer preferences. The technology further reduces time consumption and reduces inventory costs via short lead time. However, there are several hurdles, like appropriate technological proficiency, tireless investments upon startup, and the inability to gain a lot of various materials and perform the operations very fast. The present research carries invaluable information for industry practitioners and policymakers in the automotive industry. It suggests that including 3D printing helps provide flexibility to an existing supply chain, adopts new technologies, and gradually steers the industry to higher sustainability levels. Spearman's rank correlation, hypothesis, regression, and logistics regression analyses establish the correlation between 3D printing and the supply chain. As a result, in this study, we have given arguments that explain why the industry should settle for 3D printing over conventional manufacturing methods. We propose approaches for adopting 3D printing technology within the supply chain of the automobile industry.
目前的工作评估了3D打印技术在重建汽车行业供应链中的变革性影响。研究表明,3D打印是该技术提供的众多革命性变革之一,它的作用,特别是在产品复杂定制和快速原型创建方面。该方法建立在混合方法的基础上,其中定量分析和深入调查、访谈、电话交谈以及与3D打印行业代表的案例研究正在实施。这项调查包括汽车制造商和零部件供应商的经验和知识。它重点介绍了他们引入3D打印的方法,它的好处,以及这项技术对操作的限制。该公司研究3D打印技术,并从中受益,比如提高了汽车制造的灵活性。它使汽车制造商更容易以应用为导向,以应对变化,并使他们的产品适应市场和客户的偏好。该技术进一步减少了时间消耗,并通过缩短交货时间降低了库存成本。然而,存在一些障碍,如适当的技术熟练程度,启动时的不懈投资,以及无法获得大量不同的材料并快速执行操作。本研究为汽车行业的从业者和决策者提供了宝贵的信息。报告指出,包括3D打印有助于为现有供应链提供灵活性,采用新技术,并逐步引导行业达到更高的可持续性水平。Spearman的秩相关、假设、回归和物流回归分析建立了3D打印与供应链之间的相关性。因此,在本研究中,我们给出了解释为什么行业应该满足于3D打印而不是传统制造方法的论据。我们提出了在汽车行业供应链中采用3D打印技术的方法。
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引用次数: 0
Pandemic and compensation and benefits satisfaction: A study on Indian manufacturing firms 流行病与薪酬福利满意度:对印度制造业企业的研究
Pub Date : 2025-01-01 DOI: 10.1016/j.smse.2025.100031
Pooja Patnaik , Damodar Suar

Purpose

This study examines the antecedents of compensation and benefit satisfaction in Indian manufacturing firms during the COVID-19.

Design

Responses to the questionnaire were obtained from 164 middle-level managers and analyzed applying partial least squares structural equation modeling.

Findings

Managers having stronger personal values and working in redefined human resource development climate perceive lower discrepancy between industry standards and actual salary, between available and applicable benefits. Lower compensation and benefit discrepancy partially enhances compensation and benefit satisfaction through justice perception. Managers refrain from pay comparison and perceive lower compensation offerings as fair. Under high psychological capital, low compensation and benefit discrepancy increases compensation and benefit satisfaction.

Novelty

During uncertainty, designing a fair pay by adhering to industry standards can help in minimizing compensation and benefit discrepancy and can further compensation and benefit satisfaction and shape employees’ attitudes and behaviors.
目的本研究考察了新冠肺炎疫情期间印度制造业企业薪酬和福利满意度的前因。设计对164名中层管理人员进行问卷调查,并应用偏最小二乘结构方程模型进行分析。在重新定义的人力资源开发环境中,具有更强个人价值观的管理者认为,行业标准与实际工资、现有福利与适用福利之间的差异更小。较低的薪酬和福利差异通过公平感知部分地提高了薪酬和福利满意度。经理们避免比较薪酬,认为较低的薪酬是公平的。在高心理资本条件下,低薪酬和利益差异增加了薪酬和利益满意度。新颖性在不确定性期间,通过遵循行业标准来设计公平的薪酬可以帮助最小化薪酬和福利差异,并可以进一步提高薪酬和福利满意度,塑造员工的态度和行为。
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引用次数: 0
Editorial: Understanding the relationship between supply chain resiliency, industry 4.0, and agility under the sustainability efforts 社论:理解可持续发展努力下供应链弹性、工业4.0和敏捷性之间的关系
Pub Date : 2025-01-01 DOI: 10.1016/j.smse.2025.100034
Sarat Kumar Jena , Purushottam Meena
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引用次数: 0
A bibliometric analysis of research on supply chain resilience: using Scopus and Web of Science 供应链弹性研究的文献计量分析:基于Scopus和Web of Science
Pub Date : 2025-01-01 DOI: 10.1016/j.smse.2025.100032
Meryem Rhomri, Youness Zerhouni Laqrib
The global production and value chain have experienced a significant transformation characterized by complex systems and supply chains that are susceptible to disruptions for unanticipated events. Therefore, Supply Chain Resilience (SCR) has become essential for effectively managing and mitigating the effects of disruptive occurrences through the implementation of proactive measures. By using a bibliometric analysis, this paper aims to investigate the evolution and the performance of the field of SCR from 2004 to 2022 and its correlation with other domains. To the best of our knowledge, no previous bibliometrics review on supply chain resilience has been conducted using multiples databases. In fact, the datasets were collected from two large databases, namely SCOPUS and Web of Science, which were harmonized and merged to obtain 1508 papers analyzed using RStudio package. In addition, this bibliometric analysis explores SCR performance and citation analysis by years, authors, documents, sources, and countries/continents. Moreover, documents co-citations and keywords co-occurrence was examinated. Consequently, this analysis shows a strong interrelation connecting supply chain resilience with the industry 4.0 technologies in the recent years, and provides future research directions.
全球生产和价值链经历了重大转变,其特点是复杂的系统和供应链容易因意外事件而中断。因此,供应链弹性(SCR)已成为通过实施主动措施有效管理和减轻破坏性事件影响的必要条件。本文采用文献计量分析的方法,研究了2004 - 2022年中国科学技术研究领域的演变、绩效及其与其他领域的相关性。据我们所知,以前没有文献计量学对供应链弹性进行审查,使用多个数据库。实际上,数据集来源于SCOPUS和Web of Science两个大型数据库,经过协调合并得到1508篇论文,使用RStudio软件包进行分析。此外,这个文献计量分析探讨了SCR的表现和引文分析的年份,作者,文件,来源和国家/大陆。此外,还考察了文献共被引和关键词共现情况。因此,本分析显示了近年来供应链弹性与工业4.0技术之间存在很强的相互关系,并为未来的研究方向提供了建议。
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引用次数: 0
Toward a socially sustainable workforce in service operations: Predicting employee burnout with ensemble machine learning 面向服务运营中的社会可持续劳动力:用集成机器学习预测员工倦怠
Pub Date : 2025-01-01 DOI: 10.1016/j.smse.2025.100033
Md Doulotuzzaman Xames
Employee burnout, characterized by emotional exhaustion, depersonalization, and low accomplishment, poses a significant threat to social sustainability within service organizations. It not only impacts employee well-being but also undermines workforce stability and organizational productivity. This study explores the efficacy of ensemble machine learning models in predicting burnout risk, contributing to a more socially sustainable workforce. We implemented a bagging ensemble technique, training a diverse set of base learners, including decision trees, support vector regressors, and random forests, on distinct data subsets. Feature importance analysis was employed to identify the most influential features contributing to burnout. These features included workload allocation, as measured by resource allocation metrics, mental fatigue scores reported by employees, and tenure. Hyperparameter tuning was conducted using a grid search approach to identify the optimal configuration for each base learner within the ensemble. The developed ensemble model achieved a high R-squared value of 0.9567, demonstrating its effectiveness in predicting employee burnout. Analysis of feature importance revealed critical insights into the underlying factors associated with burnout. These insights can inform the development of targeted organizational interventions aimed at mitigating burnout risk and promoting workforce sustainability. Policy recommendations include bolstering mental health support, promoting work-life balance through flexible arrangements, optimizing workload distribution, implementing career development initiatives, and cultivating a supportive work environment. Exploring alternative ensemble methods like boosting and stacking, investigating the potential of Automated Machine Learning for efficient model development, and utilizing unsupervised learning techniques for employee risk segmentation are promising avenues for further exploration.
员工倦怠主要表现为情绪耗竭、人格解体和成就感低,对服务型组织的社会可持续性构成重大威胁。它不仅影响员工的幸福感,也破坏了劳动力的稳定性和组织的生产力。本研究探讨了集成机器学习模型在预测职业倦怠风险方面的功效,从而为社会可持续发展的劳动力做出贡献。我们实现了bagging集成技术,在不同的数据子集上训练了一组不同的基础学习器,包括决策树、支持向量回归器和随机森林。采用特征重要性分析来确定对职业倦怠影响最大的特征。这些特征包括通过资源分配度量的工作量分配、员工报告的精神疲劳分数和任期。使用网格搜索方法进行超参数调优,以确定集成中每个基础学习器的最佳配置。所建立的集成模型的r平方值为0.9567,表明其对员工倦怠的预测是有效的。对特征重要性的分析揭示了与倦怠相关的潜在因素的关键见解。这些见解可以为有针对性的组织干预措施的发展提供信息,旨在减轻职业倦怠风险并促进劳动力的可持续性。政策建议包括加强心理健康支持,通过灵活安排促进工作与生活的平衡,优化工作量分配,实施职业发展倡议,以及培育支持性的工作环境。探索其他集成方法,如增强和堆叠,研究自动化机器学习的潜力,以有效地开发模型,以及利用无监督学习技术进行员工风险分割,都是进一步探索的有希望的途径。
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引用次数: 0
Presenting a two-echelon multi-objective supply chain model considering the expiration date of products and solving it by applying MODM 提出一个考虑到产品有效期的双供应链多目标模型,并运用 MODM 解决该模型
Pub Date : 2024-01-01 DOI: 10.1016/j.smse.2024.100022
Mohammad Iraj , Adel Pourghader Chobar , Ali Peivandizadeh , Milad Abolghasemian

The supply chain (SC) as the most significant factor influencing competitive advantage has a great impact on the organization's life and progress. Considering the expiration date of products in supply chain modeling is essential for ensuring operational efficiency, reducing waste, maintaining product quality, and ultimately driving business success. Therefore, this paper provides a two-level supply chain including manufacturer and distributor then chain modeling with considered conditions and applying the concept of Markowitz's theory. Finally, drawing the optimal cost curve of producer and distributor as an efficient frontier. For this purpose, the main contribution of the paper is determining the optimal cost of each level of the chain if the cost of another level is known and increasing the power of analysis. The proposed model applied in Darupakhsh Manufacturing Company and Mahya Daroo Distribution Company, a two-echelon supply chain design, including a manufacturer and a distributor is developed. At first, this chain is modeled, and then, implementing the concept of Markowitz theory, the optimal cost curve of producer and distributor is drawn as an efficient frontier. Findings show it is found that the optimal cost of the two echelons of the chain is inversely correlated and decreases with the increase of another one. Furthermore, it is found that the producer warehouse limit is redundant and has no effect on the final response. Also, with the increase in the cost of the manufacturer, the number of deliveries decreases, and instead, the number of products in each delivery increases, which results in a reduction in the costs of the distributor.

供应链(SC)作为影响竞争优势的最重要因素,对组织的生命和进步有着重大影响。在供应链建模中考虑产品的有效期对于确保运营效率、减少浪费、保持产品质量以及最终推动业务成功至关重要。因此,本文提供了一个包括制造商和分销商在内的两级供应链模型,然后在考虑的条件下,应用马科维茨理论的概念进行供应链建模。最后,绘制生产商和分销商的最优成本曲线,作为有效前沿。为此,本文的主要贡献在于,在已知另一级成本的情况下,确定链条上每一级的最优成本,从而提高分析能力。本文提出的模型适用于 Darupakhsh 制造公司和 Mahya Daroo 分销公司,这是一个双层供应链设计,包括一个制造商和一个分销商。首先,对该供应链进行建模,然后根据马科维茨理论的概念,绘制生产商和分销商的最优成本曲线作为有效前沿。研究结果表明,链条上两个梯队的最优成本成反比,随着另一个梯队成本的增加而降低。此外,研究还发现,生产商仓库限额是多余的,对最终反应没有影响。另外,随着生产商成本的增加,交货次数也会减少,相反,每次交货的产品数量会增加,从而导致分销商成本的降低。
{"title":"Presenting a two-echelon multi-objective supply chain model considering the expiration date of products and solving it by applying MODM","authors":"Mohammad Iraj ,&nbsp;Adel Pourghader Chobar ,&nbsp;Ali Peivandizadeh ,&nbsp;Milad Abolghasemian","doi":"10.1016/j.smse.2024.100022","DOIUrl":"https://doi.org/10.1016/j.smse.2024.100022","url":null,"abstract":"<div><p>The supply chain (SC) as the most significant factor influencing competitive advantage has a great impact on the organization's life and progress. Considering the expiration date of products in supply chain modeling is essential for ensuring operational efficiency, reducing waste, maintaining product quality, and ultimately driving business success. Therefore, this paper provides a two-level supply chain including manufacturer and distributor then chain modeling with considered conditions and applying the concept of Markowitz's theory. Finally, drawing the optimal cost curve of producer and distributor as an efficient frontier. For this purpose, the main contribution of the paper is determining the optimal cost of each level of the chain if the cost of another level is known and increasing the power of analysis. The proposed model applied in Darupakhsh Manufacturing Company and Mahya Daroo Distribution Company, a two-echelon supply chain design, including a manufacturer and a distributor is developed. At first, this chain is modeled, and then, implementing the concept of Markowitz theory, the optimal cost curve of producer and distributor is drawn as an efficient frontier. Findings show it is found that the optimal cost of the two echelons of the chain is inversely correlated and decreases with the increase of another one. Furthermore, it is found that the producer warehouse limit is redundant and has no effect on the final response. Also, with the increase in the cost of the manufacturer, the number of deliveries decreases, and instead, the number of products in each delivery increases, which results in a reduction in the costs of the distributor.</p></div>","PeriodicalId":101200,"journal":{"name":"Sustainable Manufacturing and Service Economics","volume":"3 ","pages":"Article 100022"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667344424000057/pdfft?md5=a3ecf32938c629f3875b0fcf5c3796d1&pid=1-s2.0-S2667344424000057-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140548676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sustainability-controlled measures for resilient management of fresh and short food startups supply chain 采取可持续性控制措施,对新鲜和短途食品启动供应链进行弹性管理
Pub Date : 2024-01-01 DOI: 10.1016/j.smse.2024.100024
Aswathy Sreenivasan , M. Suresh

The goal of this review study is to look into the most important sustainable practices that fresh food startups can use to improve their resilience and environmental responsibility. It also aims to identify the difficulties and impediments these companies face when putting these sustainable strategies into effect. Fresh food startups can integrate several sustainable techniques and innovations into their operations, as identified by the study. These include using IoT technology to enhance supply chain management and implementing packaging with a modified environment to keep goods fresher for longer. The review also emphasizes the difficulties these firms have had putting these strategies into practice. The review's findings have important real-world ramifications for fresh food entrepreneurs. Through the development and improvement of their sustainability initiatives, they can make their business operations more robust and ecologically conscious. This review adds to the corpus of current knowledge by methodically analyzing the most recent advancements in fresh food supply chains, particularly with regard to startups. It illuminates the particular difficulties they encounter in promoting sustainability, making it an important and novel contribution to the area.

这项回顾性研究的目的是探讨生鲜食品初创企业可以用来提高其复原力和环境责任的最重要的可持续做法。研究还旨在确定这些公司在实施这些可持续战略时面临的困难和障碍。研究发现,生鲜食品初创企业可以在其运营中融入多项可持续技术和创新。这些技术和创新包括利用物联网技术加强供应链管理,以及采用改变环境的包装来延长产品保鲜期。评论还强调了这些公司在将这些战略付诸实践时遇到的困难。综述的发现对生鲜食品企业家具有重要的现实意义。通过制定和改进可持续发展措施,他们可以使自己的业务运营更加稳健,更具生态意识。这篇综述有条不紊地分析了生鲜食品供应链的最新进展,尤其是初创企业的最新进展,为当前的知识体系增添了新的内容。它揭示了这些企业在促进可持续发展过程中遇到的特殊困难,为该领域做出了重要而新颖的贡献。
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引用次数: 0
A decision support model for assessing and prioritization of industry 5.0 cybersecurity challenges 评估工业 5.0 网络安全挑战并确定优先次序的决策支持模型
Pub Date : 2024-01-01 DOI: 10.1016/j.smse.2024.100018
Ifaz Ahmed , Niamat Ullah Ibne Hossain , Steven A Fazio , Marianna Lezzi , Md. Saiful Islam

The world is adopting the Industry 5.0 paradigm to increase human centricity, sustainability, and resilience in efficient, optimized, and profitable manufacturing systems. With benefits, however, come increased risks of economic and physical loss, driving the need for continuous improvement of Industry 5.0 cybersecurity. Implementation and advancement of adequate cybersecurity have created challenges that have been identified in the literature. In this study, key Industry 5.0 cybersecurity challenges and related sub-challenges are highlighted based on a literature review. Graph Theory and Matrix Approach (GTMA) is employed to analyze the challenges and determine relative importance based on permanent values of the variable permanent matrix (VPM). The results identify the most important Industry 5.0 cybersecurity challenges and reveal Industry 5.0 firms should primarily concentrate on supply chain vulnerabilities to decrease data loss and hacking in the organization's supply chain network. This study also recommends that executives and lawmakers acquire knowledge regarding cybersecurity challenges and prepare to deal with them. Addressing these and other subsequently prioritized challenges—the top five rounded out with emergent cybersecurity trends, non-availability of cybersecurity curriculum in education, embedded technical constraints, and absence of skilled employees and training—will lead the methodical development of holistic, robust cybersecurity programs. Firms accepting of this reality may implement such programs to mitigate evolving cyber-risk towards harnessing and sustaining the benefits of novel Industry 5.0 technologies.

全世界都在采用工业 5.0 范式,以提高制造系统的以人为本性、可持续性和适应性,从而实现高效、优化和盈利。然而,在带来好处的同时,经济和物质损失的风险也随之增加,这促使人们需要不断改进工业 5.0 的网络安全。实施和推进适当的网络安全带来了挑战,这些挑战已在文献中得到确认。本研究在文献综述的基础上,强调了工业 5.0 网络安全的主要挑战和相关子挑战。采用图论和矩阵方法(GTMA)分析这些挑战,并根据可变永久矩阵(VPM)的永久值确定相对重要性。研究结果确定了最重要的工业 5.0 网络安全挑战,并揭示了工业 5.0 企业应主要关注供应链漏洞,以减少组织供应链网络中的数据丢失和黑客攻击。本研究还建议企业高管和立法者掌握有关网络安全挑战的知识,并为应对这些挑战做好准备。应对这些挑战和其他随后优先考虑的挑战--前五位依次是新出现的网络安全趋势、教育中缺乏网络安全课程、嵌入式技术限制、缺乏熟练员工和培训--将引导企业有条不紊地制定全面、稳健的网络安全计划。接受这一现实的企业可实施此类计划,以降低不断演变的网络风险,从而利用和维持新型工业 5.0 技术的优势。
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引用次数: 0
Leveraging graph theory approach for managing design principles for sustainable manufacturing of industry 4.0: A case study of electrical equipment manufacturing industry 利用图论方法管理工业 4.0 可持续制造的设计原则:电气设备制造业案例研究
Pub Date : 2024-01-01 DOI: 10.1016/j.smse.2024.100027
Mehayrun Nesa Shupti , Niamat Ullah Ibne Hossain , Steven A Fazio , Jahid Hasan Ashik

Analyzing design principles and supply chain sustainability are critical for organizational success in today's competitive marketplace. The process of evaluating an organization's supply chain design principles and manufacturing sustainability entails incorporating various sources of information, which are typically uncertain, incomplete, and subjective in nature. Particularly when various organizations are confronted with significant principles such as a lack of interoperability, decentralization, virtualization, real-time and capabilities, service orientation, and so on. Using graph theory and a matrix approach (GTMA), this article attempts to analyze the interaction between design principles-related factors with a focus on operational excellence, growth and sustainability in supply chains by considering the business of Industry 4.0. We have considered electrical equipment manufacturing Industry 4.0 as test ground. Based on a literature review and expert opinions, we identified several key principles, and then explored the most significant one using graph theory and a matrix approach. The findings indicate that autonomy has been evaluated as the most significant challenge to manage design principles most effectively for sustainable manufacturing in the Industry 4.0 context. Therefore, organizations must enhance autonomous systems capable of operating and making decisions alone, without relying on external instructions or support, in order to achieve sustainability. This and the other identified principles to achieving corporate supply chain sustainability are ranked in this paper. These findings will be useful for managers and policymakers managing the interaction between people and processes, as well as corporate sustainability management in Industry 4.0-based supply chain organizations. The unique contributions of this paper can aid in the improvement of design principles and the sustainability of emerging economies' Industry 4.0 perspectives.

在当今竞争激烈的市场中,分析设计原则和供应链的可持续性对于企业的成功至关重要。评估一个组织的供应链设计原则和生产可持续性的过程需要结合各种信息来源,而这些信息来源通常具有不确定性、不完整性和主观性。特别是当不同组织面临缺乏互操作性、分散化、虚拟化、实时性和能力、服务导向等重要原则时。本文试图利用图论和矩阵方法(GTMA),通过考虑工业 4.0 的业务,以供应链中的卓越运营、增长和可持续性为重点,分析设计原则相关因素之间的相互作用。我们将电气设备制造业工业 4.0 作为试验场。根据文献综述和专家意见,我们确定了几个关键原则,然后利用图论和矩阵方法探讨了其中最重要的原则。研究结果表明,自主性被认为是在工业 4.0 背景下最有效地管理可持续制造设计原则的最大挑战。因此,组织必须加强能够独立运行和决策的自主系统,而不依赖外部指令或支持,以实现可持续发展。本文对这一原则和其他已确定的实现企业供应链可持续性的原则进行了排序。这些发现对管理人与流程之间互动的管理人员和决策者,以及基于工业 4.0 的供应链组织中的企业可持续发展管理都很有用。本文的独特贡献有助于改进设计原则和新兴经济体工业 4.0 的可持续性。
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引用次数: 0
Sustainability perceptions towards digitalization of maintenance services – A survey 对维护服务数字化的可持续性看法 - 一项调查
Pub Date : 2024-01-01 DOI: 10.1016/j.smse.2024.100021
Bishal Raj Karki , Ossi Ylijoki , Saru Basnet , Jari Porras

Digital maintenance has the potential to leverage data and advanced analytics to forecast, prevent, diagnose, and rectify equipment problems. To better fulfill the maintenance objective, digital maintenance combines traditional maintenance functionalities with modern digital tools and techniques. It also serves as a sustainable and strategic component for achieving several corporate goals, including profitability and overall business performance. Despite the immense value of sustainable digital maintenance, only a few industries have adopted and started using it. Early adopters benefited greatly from the early and widespread transformation of their maintenance and reliability functions. However, adoption remains oppressive for most organizations. This survey focuses on maintenance users and their company's beliefs in the transformation of sustainable digital maintenance services by establishing a technology acceptance model and exploring different intent factors. According to the results and analysis, experienced users have a strong and positive attitude towards the adoption of sustainable digital maintenance. They feel hesitant towards their immediate use due to their non-readiness and the lack of facilitating conditions such as the resources and knowledge required for it. Additionally, digital maintenance services must be sustainable, with a prime focus on the environment, economy, and safety.

数字维护具有利用数据和先进分析技术预测、预防、诊断和纠正设备问题的潜力。为了更好地实现维护目标,数字维护将传统维护功能与现代数字工具和技术相结合。它还是实现盈利能力和整体业务绩效等多项企业目标的可持续战略组成部分。尽管可持续数字维护具有巨大价值,但只有少数行业已经采用并开始使用。早期采用者从维护和可靠性功能的早期和广泛转型中获益匪浅。然而,对于大多数企业来说,采用数字维护技术仍是一项艰巨的任务。本调查通过建立技术接受度模型和探索不同的意向因素,重点关注维护用户及其公司对可持续数字化维护服务转型的信念。根据调查结果和分析,经验丰富的用户对采用可持续数字维护持强烈而积极的态度。他们对是否立即使用数字维护服务感到犹豫不决,因为他们还没有准备好,也缺乏便利的条件,比如所需的资源和知识。此外,数字维护服务必须是可持续的,主要关注环境、经济和安全。
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引用次数: 0
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Sustainable Manufacturing and Service Economics
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