Research on the CAD / CAM Collaborative Mode Based on the IOT

2011 ◽  
Vol 335-336 ◽  
pp. 583-586
Author(s):  
Li Jun Cao

The Internet of Things need new business mode to developing. Under the booming manufacturing industry, modern IT technology is applied in traditional mechanical processing and manufacturing industry to relieve the talents shortage, and to improve production efficiency. According to the characteristics of CNC machinery, proposed an idea that to establish a CAD/CAM integrating services platform by equipment manufacturing enterprises. By taking full advantage of technology and human resources, offer services to equipment users to meet market demand. The mode uses advanced computer network technology, providing a new business model to the development of the internet of things, also, offering a new way for the upgrading of enterprise products.

2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.


2017 ◽  
Vol 117 (9) ◽  
pp. 1842-1865 ◽  
Author(s):  
Bo Yan ◽  
Xiao-hua Wu ◽  
Bing Ye ◽  
Yong-wang Zhang

Purpose The Internet of Things (IoT) is used in the fresh agricultural product (FAP) supply chain, which can be coordinated through a revenue-sharing contract. The purpose of this paper is to make the three-level supply chain coordinate in IoT by considering the influence of FAP on market demand and costs of controlling freshness on the road. Design/methodology/approach A three-level FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT is regarded as the research object. This study improves the revenue-sharing contract, determines the optimal solution when the supply chain achieves maximum profit in three types of decision-making situations, and develops the profit distribution model based on the improved revenue-sharing contract to coordinate the supply chain. Findings The improved revenue-sharing contract can coordinate the FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT, as well as benefit all enterprises in the supply chain. Practical implications Resource utilization rate can be improved after coordinating the entire supply chain. Moreover, loss in the circulation process is reduced, and the circulation efficiency of FAPs is improved because of the application of IoT. The validity of the model is verified through a case analysis. Originality/value This study is different from other research in terms of the combination of supply chain coordination, FAPs, and radio frequency identification application in IoT.


2019 ◽  
Vol 13 (1) ◽  
pp. 1192-1203
Author(s):  
Dragos Tohanean ◽  
Anca Vasilescu

Abstract Information technology has massively transformed the world of business over the past fifty years - first individual functional areas within companies (“first wave”), later increasingly also cross-divisional value-added processes and trade (“second wave”). Those companies that recognized the tremendous economic potential of these upheavals and consistently adapted, profited enormously - many others, however, fell dramatically. At the same time, innovative startups emerged that successfully created and occupied new markets. With the Internet of Things (IoT), the third digital wave is currently rolling up. Their impact will be enormous - both for our everyday lives and for many industries that have so far been largely spared the disruptive power of digital transformation. Accordingly, the challenges facing most companies today are: understanding more complex competition, acquiring new digital technologies, making existing offerings smart, developing new services, networking production, efficiently analyzing vast amounts of data, and building viable organizations to push all this forward. The IoT is a driver for digitization. By analyzing machine data, the use of sensors and the intelligent real-time processing of huge amounts of data in the cloud, new business models are created. With the information gained, companies are able to improve their value chain. However, one of the most difficult issues in this context for many companies is how they can further develop their existing business model or establish successful new business models that will be based on new technologies and IoT. To investigate resulting impacts, we draw on the existing business models and deduct specifics for the Internet of Things. Building on this, in order to reach the aims of the paper the authors will use a descriptive research method and a case study in order to present how new business models work with the IoT.


Author(s):  
In Lee

As the Internet of Things (IoT) opens up new business opportunities, firms are trying to understand the impacts of the IoT revolution on their supply chain. Despite the tremendous interest by supply chain managers to leverage the IoT, there are still a paucity of studies that integrate the management side of supply chain with the technical side of the IoT. This chapter attempts to fill the current gap in research. This chapter discusses capabilities of the IoT-based supply chain applications. Then, it presents a conceptual framework of the IoT applications essential for smart supply chain. Finally, this chapter discusses technical and managerial challenges faced by supply chain managers in implementing the IoT.


2020 ◽  
pp. 1557-1574
Author(s):  
In Lee

As the Internet of Things (IoT) opens up new business opportunities, firms are trying to understand the impacts of the IoT revolution on their supply chain. Despite the tremendous interest by supply chain managers to leverage the IoT, there are still a paucity of studies that integrate the management side of supply chain with the technical side of the IoT. This chapter attempts to fill the current gap in research. This chapter discusses capabilities of the IoT-based supply chain applications. Then, it presents a conceptual framework of the IoT applications essential for smart supply chain. Finally, this chapter discusses technical and managerial challenges faced by supply chain managers in implementing the IoT.


Author(s):  
Bozidar Radenkovic ◽  
Petar Kocovic

The Internet that most of us knows as the World Wide Web is expanding beyond PCs and mobile devices. Called the “Internet of things”, this movement will link consumer devices, enterprise assets, media and everyday items, such as packaged goods, to the Internet at an increasing rate. Why the push? New business models and new ways of interacting with customers, employees and suppliers are possible when physical items are linked to the Internet. In theory, the Internet of things will make it possible for a connected refrigerator to automatically order milk. However, history has shown that, even though a technology can be transformational, it takes a series of many small evolutions before the consumer and business world are ready for transformational models like this. We believe that, at first, the sweet spot for the Internet of things will be to use it in simple ways that extend or enhance an existing process. For example, a washing machine that has a 2D bar code can enable a smartphone user to view the instruction manual, or a service person to view the service history and parts list. In contrast, using the Internet of things technologies to make a washing machine that can auto-detect clothes by reading the RFID tags on the garments' labels, and consequently run at the right settings, is less likely to gain adoption.


Throughout this book, the authors have discussed the implications of the rise of artificial intelligence, Industry 4.0, the internet of things, and new business models that do not have any known precedents. While discussing the skills needed to survive in the modern economy, they have yet to address the issue of what will become of our jobs. Will our children dream of the same jobs we dreamed once before? Will they require the same studies we had to follow to reach our actual positions? Will our jobs still exist by the time we reach the pension, or will we need to reinvent everything that we know of? The authors do not have an answer to these questions; what they can do is only make educated guesses about what is about to come and be ready for it. In this last chapter, the authors see what experts think our future will look like and give their educated opinion in what to invest in our lifelong learning journey to be on top of this unprecedented disruption of the economy.


Author(s):  
Kamalendu Pal

The internet of things (IoT) is ushering a new age of technology-driven automation of information systems into the manufacturing industry. One of the main concerns with IoT systems is the lack of privacy and security preserving schemes for controlling access and ensuring the safety of the data. Many security issues arise because of the centralized architecture of IoT-based information systems. Another concern is the lack of appropriate authentication and access control schemes to moderate the access to information generated by the IoT devices in the manufacturing industry. Hence, the question that arises is how to ensure the identity of the manufacturing machinery or the communication nodes. This chapter presents the advantages of blockchain technology to secure the operation of the modern manufacturing industry in a trustless environment with IoT applications. The chapter reviews the challenges and threats in IoT applications and how integration with blockchain can resolve some of the manufacturing enterprise information systems (EIS).


2020 ◽  
Vol 79 (4) ◽  
pp. 343-352
Author(s):  
M. Ilchenko ◽  
T. M. Narytnyk ◽  
V. Prisyazhny ◽  
Sergii Kapshtyk ◽  
S. Matvienko

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