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Role of Internet of Things (IoT) in Adoption of Industry 4.0 物联网(IoT)在工业4.0应用中的作用
IF 9 Q2 MANAGEMENT Pub Date : 2021-03-03 DOI: 10.1142/S2424862221500068
I. Khan, M. Javaid
Internet of Things (IoT) is a critical component of Industry 4.0. It has extensive applications in the monitoring of production systems in manufacturing and services. This technology opens up newer and innovative possibilities in manufacturing by facilitating higher performance. IoT’s major capability is to collect and share information with the help of internet-connected machines and devices. It is associated with unique identification numbers or codes that can be controllable through our daily use devices like smartphones. This technology’s major components are software, hardware with the network’s connectivity for data altercation, and collection. IoT creates disruptive innovation in the field of manufacturing. The need is to understand this technology and how it can help the contemporary production systems. Here, we have studied the potential of this technology to provide better solutions in Industry 4.0. The major drivers of IoT for Industry 4.0 are studied. This paper discusses how Industry 4.0 helps create a smart factory. Finally, we have identified and studied significant IoT applications to adopt Industry 4.0 successfully, and the same is presented in tabular form. With proper implementation of this technology, industries observe an improvement in efficiency during the manufacturing of products. Manufacturing is done with lesser cost and errors. However, there is a long way to reap full benefits for humankind.
物联网(IoT)是工业4.0的关键组成部分。它在制造业和服务业的生产系统监控中有着广泛的应用。这项技术通过促进更高的性能,为制造业开辟了更新和创新的可能性。物联网的主要功能是在连接互联网的机器和设备的帮助下收集和共享信息。它与唯一的识别号码或代码相关联,可以通过智能手机等日常使用设备进行控制。该技术的主要组成部分是软件、用于数据交换和收集的与网络连接的硬件。物联网在制造业领域创造了颠覆性创新。我们需要了解这项技术,以及它如何帮助当代生产系统。在这里,我们研究了这项技术在工业4.0中提供更好解决方案的潜力。研究了工业4.0物联网的主要驱动因素。本文讨论了工业4.0如何帮助创建智能工厂。最后,我们确定并研究了成功采用工业4.0的重要物联网应用,并以表格形式呈现。随着这项技术的适当实施,工业在产品制造过程中观察到效率的提高。制造成本更低,错误也更少。然而,要让人类充分受益还有很长的路要走。
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引用次数: 41
Emergence of Business Ecosystems by Transformation of Platforms Through the Process of Organizational Learning 通过组织学习的过程,平台的转型产生商业生态系统
IF 9 Q2 MANAGEMENT Pub Date : 2020-06-01 DOI: 10.1142/s2424862220500086
Nataša Rupčić, T. Majić, J. Stjepandić
Innovation of products and services is a key success factor for the manufacturing industry. Development of upgraded and innovative products and services usually takes place in partnerships. In this regard, in the manufacturing industry, original equipment manufacturers (OEMs) distribute the development of new and innovative products to many different locations in various countries across the world. Suppliers, especially first-tier suppliers (FTSs), are then involved in the development of new products and services based on strategic firm-specific competences. The OEM–supplier relationship is characterized by a sequential interaction whereby OEMs specify product and production requirements to the suppliers and the suppliers then produce and deliver products or services to OEMs. Tight collaboration between FTSs and OEMs is essential to reduce costs and risks, anticipate potential downstream errors and enable fruitful implementation of FTSs’ knowledge and competencies. The paper presents recent developments in the OEM–FTS supply chain management with particular emphasis on the design of shared platforms which emerge as ecosystems on the basis of the joint organizational learning and stakeholder management. Development of such ecosystems could be viewed as a transdisciplinary process, combining expertise from various fields ranging from engineering, especially IT engineering, to management, especially supply chain, strategic and knowledge management.
产品和服务的创新是制造业成功的关键因素。升级和创新产品和服务的开发通常是在合作伙伴关系中进行的。在这方面,在制造业中,原始设备制造商(oem)将新产品和创新产品的开发分配到世界各国的许多不同地点。供应商,特别是第一级供应商(FTSs),然后参与开发新产品和服务的基础上的战略公司的具体能力。oem -供应商关系的特点是顺序交互,即oem向供应商指定产品和生产要求,然后供应商生产并向oem交付产品或服务。FTSs和oem之间的紧密合作对于降低成本和风险、预测潜在的下游错误以及有效实施FTSs的知识和能力至关重要。本文介绍了OEM-FTS供应链管理的最新发展,特别强调在组织联合学习和利益相关者管理的基础上作为生态系统出现的共享平台的设计。这样的生态系统的发展可以看作是一个跨学科的过程,结合了从工程,特别是IT工程,到管理,特别是供应链,战略和知识管理等各个领域的专业知识。
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引用次数: 4
Sustaining Corporate Innovation Through University–Industry Collaborative Research: Evidence from the Jiangsu University of China 通过校企合作研究促进企业创新:来自江苏大学的证据
IF 9 Q2 MANAGEMENT Pub Date : 2020-06-01 DOI: 10.1142/s2424862220500025
L. Mingxing, B. A. Asunka, Su Jialu, Hu Cheng, Wenqin Ming, Wu Yuxiao
Based on the perspective of collaborative innovation, this study employed the social network analysis method to empirically analyze the evolution of knowledge diffusion networks between research institutions and industry in China. The study is centered on the Jiangsu University of China, an institution noted for its innovative activities for a long time. The results show that since 2008 the extent and depth of explicit knowledge diffusion of Jiangsu University have increased significantly. The regional knowledge diffusion network presents a core-edge spatial pattern, but the core-edge structure is weakening; indicating that while the number of partners in the collaboration effort is increasing, the strength of ties between groups is weakening. The tacit knowledge diffusion network presents a small-world effect; small groups of partners clustered around one or a few influential inventors have gradually emerged. It is also evident that enterprises that are located close to the university benefit more from such collaboration than those located in farther provinces. We recommend that universities in such collaborations should reach out to diverse industry players using their specialized expertise.
本研究基于协同创新视角,运用社会网络分析方法,实证分析了中国科研机构与产业间知识扩散网络的演化。这项研究以中国江苏大学为中心,这所大学长期以来以创新活动而闻名。结果表明:自2008年以来,江苏大学显性知识扩散的广度和深度均有显著提升。区域知识扩散网络呈现核心-边缘空间格局,但核心-边缘结构呈弱化趋势;这表明,虽然合作伙伴的数量在增加,但团体之间的联系强度正在减弱。隐性知识扩散网络呈现小世界效应;聚集在一个或几个有影响力的发明家周围的合作伙伴小组逐渐出现。同样明显的是,位于大学附近的企业比那些位于更远省份的企业从这种合作中受益更多。我们建议参与此类合作的大学利用其专业知识与不同的行业参与者接触。
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引用次数: 7
Research on the Economical Influence of the Difference of Regional Logistics Developing Level in China 中国区域物流发展水平差异的经济影响研究
IF 9 Q2 MANAGEMENT Pub Date : 2020-06-01 DOI: 10.1142/s2424862220500049
Caiming Zhang
Based on the model of Cobb–Douglas (CD) production function, this paper establishes a panel data regression model, and divides all provinces of China except Hong Kong Special Administrative Region, Macao Special Administrative Region and Taiwan Province into four groups according to their levels of logistics development. With the panel data of these four groups for 20 years (1997–2016), the paper analyzes the relationship between the logistics development and the economic growth in various regions in China. In this model, this paper selects the logistics capacity, the logistics investment and the logistics manpower as the three input indicators which represent the logistics development of different regions, and selects the regional GDP as the output indicator which represents economic growth. After empirical analysis, this paper finds that there is a positive correlation between logistics and economic growth, and the impact of each indicator on the regional economic growth is different. There are three conclusions in this paper. Firstly, logistics capacity has the greatest economical promotion effect on areas with advanced logistics. The second is that logistics investment has the greatest economical promotion effect on the developed and general areas of logistics development. And the third is that the economical promotion of the logistics investment and the logistics capacity is more obvious in the underdeveloped areas of logistics.
本文基于Cobb-Douglas (CD)生产函数模型,建立了面板数据回归模型,并将中国除香港特别行政区、澳门特别行政区和台湾省外的各省根据其物流发展水平分为四组。本文利用这四组20年(1997-2016)的面板数据,分析了中国各地区物流发展与经济增长的关系。在该模型中,选取物流能力、物流投入和物流人力作为代表不同地区物流发展的三个投入指标,选取区域GDP作为代表经济增长的产出指标。经过实证分析,本文发现物流与经济增长之间存在正相关关系,且各指标对区域经济增长的影响程度不同。本文得出了三个结论。首先,在物流发达地区,物流能力对经济的促进作用最大。二是物流投资对物流发达地区和物流发展一般地区的经济促进作用最大。三是物流投资和物流能力的经济促进作用在物流欠发达地区更为明显。
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引用次数: 6
Strategies to Implement Circular Economy Practices: A Fuzzy DEMATEL Approach 实施循环经济实践的策略:一个模糊DEMATEL方法
IF 9 Q2 MANAGEMENT Pub Date : 2020-05-29 DOI: 10.1142/s2424862220500050
Shahbaz Khan, Abid Haleem
There is a growing concern among consumers for preserving the environment without compromising the current lifestyle. In this context, organizations are looking for a sustainable business model that can fulfil their business objectives effectively. The concept of the circular economy is emerging as a solution that can help the minimization of the ill effect of industrialization. The circular economy is efficiently adopted and implemented through circular practices. However, the adoption of circular economy practices is not easy for the industries, and it requires a comprehensive strategy. Therefore, this study aims to identify and evaluate the key strategies to accomplish circular economy practices in the present-day context. In order to fulfil the research objective, this study identified 11 significant strategies that are needed for the adoption of circular economy practices. These strategies are identified using an integrated approach of the literature review and focus group discussion with experts. Further, these key strategies are evaluated using the fuzzy DEMATEL and developed a causal relationship among the strategies. The applied method has also classified the strategies into cause and effect group. The cause group comprises the five strategies, while effect group contain the six strategies. The finding suggests that “management involvement, support and commitment” and “creating a vision and goals for circular economy” are prominent strategies. This study will facilitate the managers to make the action plan for implementing the circular practices in order to shift towards the circular economy.
消费者越来越关注在不影响当前生活方式的情况下保护环境。在这种情况下,组织正在寻找一种能够有效实现其业务目标的可持续商业模式。循环经济的概念作为一种解决方案正在兴起,它可以帮助将工业化的不良影响降到最低。通过循环实践有效地采用和实施循环经济。然而,采用循环经济的做法对行业来说并不容易,它需要一个全面的战略。因此,本研究旨在确定和评估在当前背景下实现循环经济实践的关键策略。为了实现研究目标,本研究确定了采用循环经济实践所需的11个重要策略。这些策略是通过文献综述和专家焦点小组讨论的综合方法确定的。此外,利用模糊DEMATEL对这些关键策略进行了评估,并建立了策略之间的因果关系。应用方法还将策略分为因果组。原因组包含五个策略,而效果组包含六个策略。这一发现表明,“管理层的参与、支持和承诺”以及“为循环经济制定愿景和目标”是重要的战略。本研究将有助于管理者制定实施循环实践的行动计划,以转向循环经济。
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引用次数: 26
A Study of Big Data-Based Employees’ Public Opinion System Construction 基于大数据的员工舆情系统建设研究
IF 9 Q2 MANAGEMENT Pub Date : 2020-05-29 DOI: 10.1142/s2424862220500062
Jin Li, Xiaobo Xu
With the rapid development of the Internet and big data, social self-media such as Weibo, WeChat, Tiktok, and QQ space has directly contributed to the speed and the channel of employees’ public opinions. The convergence and the impact of emotion are getting faster and faster. Timely and effective understanding and grasping the changes and development of employees’ public opinion has become an important topic. The development of big data technology makes it possible and necessary to construct an employees’ public opinion system. Based on big data and theories of public opinion generation and dissemination, this paper built a big data-based employees’ public opinion system and its main functions, including big data collection, data processing, data storage, data analysis, data visualization, and early warning of employees’ public opinion. Finally, we also defined the rich connotation of employees’ public opinion index.
随着互联网和大数据的快速发展,微博、微信、抖音、QQ空间等社交自媒体直接促进了员工舆论的传播速度和渠道。情感的趋同和影响越来越快。及时有效地了解和把握员工舆论的变化和发展,已成为一个重要的课题。大数据技术的发展使得构建员工舆情系统成为可能和必要。本文基于大数据和舆情生成与传播理论,构建了基于大数据的员工舆情系统及其主要功能,包括大数据采集、数据处理、数据存储、数据分析、数据可视化、员工舆情预警等。最后,对员工民意指数的丰富内涵进行了界定。
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引用次数: 14
Business Analytics in E-Commerce: A Literature Review 电子商务中的商业分析:文献综述
IF 9 Q2 MANAGEMENT Pub Date : 2019-12-16 DOI: 10.1142/s2424862219500180
Xuemei Li
This paper attempts to identify the value and the use of business analytics (BA) in E-commerce, and challenges and trends associated with BA in E-commerce. It systematically examines the literature about BA, with a particular focus on E-commerce. BA has critical value in E-commerce. BA has been used in customer analysis and website usage analysis. The most important factor for the value of E-commerce BA is customer. This paper also suggests an E-commerce BA research model which describes the BA iterative process from data to analysis, to decision, to estimation, and separates BA analysis results as functional-level and competitive-level results. Challenges identified in this paper hold theoretical and practical implications. Future studies could seek an enhanced understanding of BA through quantitative analysis.
本文试图确定商业分析(BA)在电子商务中的价值和使用,以及与电子商务中BA相关的挑战和趋势。它系统地考察了有关BA的文献,特别关注电子商务。BA在电子商务中具有重要的价值。BA已用于客户分析和网站使用分析。影响电子商务BA价值的最重要因素是客户。本文还提出了一个电子商务BA研究模型,该模型描述了从数据到分析、到决策、到估计的BA迭代过程,并将BA分析结果分为功能级和竞争级结果。本文确定的挑战具有理论和实践意义。未来的研究可以通过定量分析来加强对BA的理解。
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引用次数: 3
Application of Nature Inspired Algorithms to Optimize Multi-objective Two-Dimensional Rectangle Packing Problem 应用自然启发算法优化多目标二维矩形布局问题
IF 9 Q2 MANAGEMENT Pub Date : 2019-12-01 DOI: 10.1142/s2424862219500106
A. Virk, Kawaljeet Singh
This paper considers two-dimensional non-guillotine rectangular bin packing problem with multiple objectives in which small rectangular parts are to be arranged optimally on a large rectangular sheet. The optimization of rectangular parts is attained with respect to three objectives involving maximization of (1) utilization factor, minimization of (2) due dates of rectangles and (3) number of cuts. Three nature based metaheuristic algorithms — Cuckoo Search, Bat Algorithm and Flower Pollination Algorithm — have been used to solve the multi-objective packing problem. The purpose of this work is to consider multiple industrial objectives for improving the overall production process and to explore the potential of the recent metaheuristic techniques. Benchmark test data compare the performance of recent approaches with the popular approaches and also of the different objectives used. Different performance metrics analyze the behavior/performance of the proposed technique. Experimental results obtained in this work prove the effectiveness of the recent metaheuristic techniques used. Also, it was observed that considering multiple and independent factors as objectives for the production process does not degrade the overall performance and they do not necessarily conflict with each other.
本文研究二维多目标非切台矩形装箱问题,该问题要求在大矩形薄板上对小矩形零件进行优化布置。矩形零件的优化是相对于涉及(1)利用率最大化、(2)矩形到期日期最小化和(3)切割次数的三个目标而实现的。基于自然的三种元启发式算法——布谷鸟搜索算法、蝙蝠算法和花授粉算法——被用于解决多目标包装问题。这项工作的目的是考虑改善整体生产过程的多个工业目标,并探索最近的元启发式技术的潜力。基准测试数据比较了最新方法与流行方法的性能,以及所使用的不同目标。不同的性能指标分析所建议技术的行为/性能。实验结果证明了最近使用的元启发式技术的有效性。此外,我们观察到,考虑多个和独立的因素作为生产过程的目标并不会降低整体性能,它们之间也不一定相互冲突。
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引用次数: 2
The Construction of Monitoring and Analysis System of China Worker's Public Opinions in the Era of Big Data 大数据时代中国职工舆情监测分析系统的构建
IF 9 Q2 MANAGEMENT Pub Date : 2019-11-12 DOI: 10.1142/s2424862219500155
Jin Li
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引用次数: 0
Additive Manufacturing Applications in Industry 4.0: A Review 增材制造在工业4.0中的应用综述
IF 9 Q2 MANAGEMENT Pub Date : 2019-10-04 DOI: 10.1142/s2424862219300011
Abid Haleem, M. Javaid
Additive manufacturing (AM) is a set of technologies and are vital to fulfilling different requirements of Industry 4.0. So, there is a need to study different additive manufacturing applications toward its achievement. From the Scopus database, different research articles on “Industry 4.0” and “additive manufacturing applications in Industry 4.0” are identified and studied through a bibliometric analysis. It shows that there is an increasing trend of publications in this new area. Industry 4.0 has entered new markets which focus on customer delight by adding values in product and services. It supports automation, interoperability, actionable insights and information transparency. There are different components vital to implement Industry 4.0 requirements. Through this extensive literature review based work, we identified different components of Industry 4.0 and explained the critical ones briefly. Finally, 13 important AM applications in Industry 4.0 are identified. The main limitation of the AM manufactured part is of comparable low strength and associated quality, coupled with a high cost of the printing machine system. In this upcoming industrial revolution, AM is a crucial technology which has become the main component of product innovation and development. This disruptive technology can fulfil different challenges in the future manufacturing system and help the industry to produce innovative products. For this futuristic manufacturing system, additive manufacturing is an upcoming paradigm, and Industry 4.0 will use its potential to achieve required goals.
增材制造(AM)是一套技术,对于满足工业4.0的不同要求至关重要。因此,有必要研究不同的增材制造应用。从Scopus数据库中,通过文献计量分析,确定并研究了关于“工业4.0”和“增材制造在工业4.0中的应用”的不同研究文章。这表明,在这一新领域的出版物有增加的趋势。工业4.0已经进入了新的市场,通过增加产品和服务的价值来关注客户的满意度。它支持自动化、互操作性、可操作的洞察力和信息透明度。实现工业4.0要求有不同的关键组件。通过广泛的文献综述,我们确定了工业4.0的不同组成部分,并简要解释了关键组成部分。最后,确定了工业4.0中13个重要的增材制造应用。增材制造部件的主要限制是相对较低的强度和相关质量,加上印刷机系统的高成本。在即将到来的工业革命中,增材制造是一项关键技术,已成为产品创新和发展的主要组成部分。这种颠覆性技术可以应对未来制造系统中的不同挑战,并帮助行业生产创新产品。对于这个未来的制造系统,增材制造是一个即将到来的范例,工业4.0将利用其潜力实现所需的目标。
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引用次数: 190
期刊
Journal of Industrial Integration and Management-Innovation and Entrepreneurship
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