393 research outputs found

    Empirical Analysis of the User Needs and the Business Models in the Norwegian Charging Infrastructure Ecosystem

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    Figenbaum, E.; Wangsness, P.B.; Amundsen, A.H.; Milch, V. Empirical Analysis of the User Needs and the Business Models in the Norwegian Charging Infrastructure Ecosystem. World Electr. Veh. J. 2022, 13, 185. https://doi.org/10.3390/wevj13100185The Norwegian charging infrastructure ecosystem was investigated from a user perspective by (1) developing knowledge of end-user experiences with public charging, (2) mapping BEV owners and future owner’s user-friendliness needs and the extent to which these needs are met, (3) pointing at potential user-friendliness improvements, (4) mapping the charging infrastructure ecosystem and business models, and (5) developing scenarios for the future system development and the impact on charging infrastructure user-friendliness. The article draws on the literature, a BEV (battery electric vehicle) and ICEV (internal combustion engine vehicle) owner survey, 15 BEV owner interviews, 21 charging infrastructure actor interviews, and open information sources on the charger actors. The unregulated charging system evolved into a complex web of actors that developed their own charging networks following their individually sensible business models, which in sum led to serious user-friendliness issues. To gain access to all chargers, users need to interact with up to 20–30 apps and 13 payment systems, which comes on top of different plug types, power levels, and charger interfaces. Some actors support roaming, while others oppose it. OEMs want users to interface with chargers through the navigation system. In the future, the system will become even more complex and less user friendly as more actors join unless, e.g., consolidation, regulation, or independent network orchestrators reduce the complexity.publishedVersio

    Near Field Communication: From theory to practice

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    This book provides the technical essentials, state-of-the-art knowledge, business ecosystem and standards of Near Field Communication (NFC)by NFC Lab - Istanbul research centre which conducts intense research on NFC technology. In this book, the authors present the contemporary research on all aspects of NFC, addressing related security aspects as well as information on various business models. In addition, the book provides comprehensive information a designer needs to design an NFC project, an analyzer needs to analyze requirements of a new NFC based system, and a programmer needs to implement an application. Furthermore, the authors introduce the technical and administrative issues related to NFC technology, standards, and global stakeholders. It also offers comprehensive information as well as use case studies for each NFC operating mode to give the usage idea behind each operating mode thoroughly. Examples of NFC application development are provided using Java technology, and security considerations are discussed in detail. Key Features: Offers a complete understanding of the NFC technology, including standards, technical essentials, operating modes, application development with Java, security and privacy, business ecosystem analysis Provides analysis, design as well as development guidance for professionals from administrative and technical perspectives Discusses methods, techniques and modelling support including UML are demonstrated with real cases Contains case studies such as payment, ticketing, social networking and remote shopping This book will be an invaluable guide for business and ecosystem analysts, project managers, mobile commerce consultants, system and application developers, mobile developers and practitioners. It will also be of interest to researchers, software engineers, computer scientists, information technology specialists including students and graduates.Publisher's Versio

    The Technology Development and Management of Smart Manufacturing System: A Review On Theoretical and Technological Perspectives

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    This paper encompasses a state-of-the-art review on smart manufacturing system (SMS), focusing on theoretical relevance to technology development and technology management. The theoretical foundation of technology development has been reviewed based on the Rogers’ Diffusion of Innovation (DoI) theory and technology management has been focused on the basis of Technology Strategy Model (TSM) of Rieck and Dickson to shape the paper with theory of Management of Technology (MOT). A patent on SMS has been discussed to show how different technologies are integrated into this system. The characteristics of SMS have discussed the overall aspects of this future technological system. The the global textile complex has been depicted with a proposed SMS model of the apparel production unit. This study integrates the latest articles and technology on future manufacturing system perspectives, which gives a robust idea of mintegration have been identified as the major components of SMS. A brief model of SMS in the apparel production system demonstrated how SMS works in the industry level. The researchers on smart manufacturing can take away the above insights into their future research to take SMS research more forward.inimizing human interaction and maximizing the production efficiency in the manufacturing industry. The cyber-physical system, AI, ERP, digital twin, big data, additive manufacturing, cloud manufacturing, simulation, and vertical and horizontal&nbsp

    system dynamics simulation for investigating RFID potential in aircraft dis-assembly operations

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    One of the main issues in modern supply chain management is the recovery of value from the end of life (EOL) or defective products by re-manufacturing, reassembly, re-use and recycling. Despite the fact that reverse logistics would impose extra amount of complexity to the supply chain, it has captured a lot of attention as it is possible to recycle the materials where there are limited resources. Through reverse logistics companies will be able to minimize the overall production costs through reclaiming the unsold or defective products’ values which in turn may lead to more productivity and growth, and more importantly reverse logistics may improve the quality of end products by finding the faults of the system and the points which directly or indirectly affect the ultimate product. However, a number of challenges arise with reverse logistics; integration of the whole supply chain including both inbound activities and outbound activities, creating incentives for return and reuse, huge amount of inspections and imposed complexity to the supply chain as a whole since the number of partners may increase. On the other hand, technologies such as barcodes, radio frequency identification (RFID), global positioning system (GPS), etc, have made it easier to cope with the aforementioned challenges and complexities of reverse supply chains. In this thesis, our goal is to examine the potential of radio frequency identification (RFID) technology on dis-assembly operations of aircraft at the End of Life using system dynamics simulation. In particular, a case study on how RFID technology affects the time of dis-assembly of a single helicopter has been conducted in cooperation with Bell Helicopters. The proposed System dynamics simulation model is developed using “AnyLogic”. The results of our study show that employing RFID technology will lead to a reduction in total dis-assembly time of a helicopter. However, bringing motivations to the market to employ RFID technology in industries and developing trust in the promising benefits and results will require more challenging planning and managerial activities. Keywords: Reverse logistics (RL), RFID, aviation industry, end of life products (EOL), System Dynamics simulatio

    The future of the logistics industry in the European Union : an outlook to 2032 supported by current and upcoming market trends

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    This work project develops an outlook for the future of the logistics industry in the EU until 2032 and provides strategic recommendations for logistics managers. An analysis of the transactional and contextual environment is conducted based on primary and secondary research to generate future scenarios. The stability of the geopolitical and economic landscape and the density of the technology network are identified as critical uncertainties. Based on that, future scenarios are developed. Strategic short- and long-term options are recommended for different scenarios. Finally, early indicators are developed, helping industry stakeholders to monitor the environment and anticipate which scenario unfolds

    Design of RFID-enabled Aircraft Reverse Logistics Network Simulation

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    The reverse logistics (RL) of aircrafts pose a big challenge to its owners due to the complexity of its RL network, and the inherit problems of realizing a reliable system for efficiently monitoring and tracking the numerous parts of end-of-life (EOL) aircrafts in the RL network. Radio frequency identification (RFID) technology, through its automatic and wireless data capture capability, offers great potential for counteracting this problem. Although widespread and cost-effective, traditional barcode system, unlike RFID technology, requires manual scanning and line-of-sight for its use. In this research, thorough review of literature was conducted to identify the technological and economical impacts of RFID technology in both forward and RL network, and the knowledge acquired was employed to develop a scenario based approach for determining suitable RFID solutions for use in different sections of the EOL aircraft RL network. Process maps for case-level barcode tagging, item-level RFID tagging, case-level RFID tagging and pallet-level RFID tagging in EOL aircraft RL were developed and simulated in Arena simulation software in order to comparatively analyze the Return-On-Investment (ROI) of the different RFID technology levels. The results of our research, focusing on passive RFID technology, demonstrate that use of RFID technology in EOL aircraft RL network offers great potential compared to barcode system; however, the high initial investment cost of RFID technology deployment may necessitate proper planning, such as business process re-engineering (BPR), tag reuse and phased implementation, to achieve more positive ROI

    Measuring the Business Value of Cloud Computing

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    The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such as the ever-changing complex area of cloud computing present new challenges and opportunities for demonstrating how IT investments lead to business value. Recent reviews of extant literature highlights the need for multi-disciplinary research. This research should explore and further develops the conceptualization of value in cloud computing research. In addition, there is a need for research which investigates how IT value manifests itself across the chain of service provision and in inter-organizational scenarios. This open access book will review the state of the art from an IS, Computer Science and Accounting perspective, will introduce and discuss the main techniques for measuring business value for cloud computing in a variety of scenarios, and illustrate these with mini-case studies

    Internet-of-things enabled supply chain planning and coordination with big data services: certain theoretic implications

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    Recent advances in information technology have led to profound changes in global manufacturing. This study focuses on the theoretical and practical challenges and opportunities arising from the Internet of Things (IoT) as it enables new ways of supply-chain operations partially based on big-data analytics and changes in the nature of industries. We intend to reveal the acting principle of the IoT and its implications for big-data analytics on the supply chain operational performance, particularly with regard to dynamics of operational coordination and optimization for supply chains by leveraging big data obtained from smart connected products (SCPs), and the governance mechanism of big-data sharing. Building on literature closely related to our focal topic, we analyze and deduce the substantial influence of disruptive technologies and emerging business models including the IoT, big data analytics and SCPs on many aspects of supply chains, such as consumers value judgment, products development, resources allocation, operations optimization, revenue management and network governance. Furthermore, we propose several research directions and corresponding research schemes in the new situations. This study aims to promote future researches in the field of big data-driven supply chain management with the IoT, help firms improve data-driven operational decisions, and provide government a reference to advance and regulate the development of the IoT and big data industry.Published versio
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