The Digital Transformation of Logistics. Группа авторов

Чтение книги онлайн.

Читать онлайн книгу The Digital Transformation of Logistics - Группа авторов страница 28

The Digital Transformation of Logistics - Группа авторов

Скачать книгу

(accessed 7 May 2020).

      17 Serpanos, D. and Wolf, M. (2018). Industrial internet of things. In: Internet‐of‐Things (IoT) Systems, 37–54. Cham: Springer International Publishing https://doi.org/10.1007/978‐3‐319‐69715‐4_5.

      18 Shi, W., Cao, J., Zhang, Q. et al. (2016). Edge computing: vision and challenges. IEEE Internet of Things Journal 3 (5): 637–646. https://doi.org/10.1109/JIOT.2016.2579198.

      19 Strandhagen, J.O., Vallandingham, L.R., Fragapane, G. et al. (2017). Logistics 4.0 and emerging sustainable business models. Advances in Manufacturing 5 (4): 359–369. https://doi.org/10.1007/s40436‐017‐0198‐1.

      20 Vial, G. (2019). Understanding digital transformation: a review and a research agenda. Journal of Strategic Information Systems https://doi.org/10.1016/j.jsis.2019.01.003.

      21 Wang, L. (2018). Third‐party logistics development in China. In: Contemporary Logistics in China. Collaboration and Reciprocation (eds. J. Xiao, S. Lee, B. Liu and J. Liu), 71–93. Singapore: Springer SV ‐ 8.

      Notes

      1 1 Based on how wide the range of connected devices is defined, some talk about Industry 4.0 (in Germany), Smart Manufacturing (in US), Industrial Internet of Things (IIoT), or IoT. Whereas IoT encompasses in general all applications based on connected smart devices, the Industrial Internet of Things (IIoT) and Industry 4.0 focus on the industrial applications within the broad umbrella of IoT. To illustrate the difference we can think about a smart watch to monitor the health condition as an example of the wide range of IoT compared with a smart device monitoring the condition of a machine in a factory or a component on the transport as an example for the IIoT (Serpanos and Wolf 2018).

      2 2 To identify/localize Things several methods are available, ranging from labels (e.g. barcode, QR codes) via RFID up to GPS or other ways.

      3 3 See, for example, the Nexeed Track and Trace devices of Bosch Manufacturing Solutions (Robert Bosch Manufacturing Solutions 2020).

      4 4 This topic will be discussed Chapter 6 in this volume.

      5 5 With edge computing data produced by Internet of things (IoT), devices are processed decentralized closer to where it is created (the edge of the network, e.g. the machine) instead of sending all data to data centers or clouds (Shi et al. 2016).

      6 6 Cf. the chapter by Sun in this volume.

      7 7 Cf. the barriers to technology adoption discussed Chapter 25 in this volume.

       Johannes Kern

       Tongji University, Shanghai, China

      This chapter takes the form of six sections. First, the vision of the AM supply chain will be compared with a conventional supply chain. Then, the technology's advantages and remaining bottlenecks will be explained. This is followed by an overview of various AM technologies and materials. Typical application scenarios will be subsequently derived. Afterward, markets and trends will be accounted for. The chapter then ends with a conclusion that summarizes the status of the technology and its potential supply chain impact.

Скачать книгу