Abstract
In the course of the digitization of production facilities, tracking and tracing of assets in the supply chain is becoming increasingly relevant for the manufacturing industry. The collection and use of real-time position data of logistics, tools and load carriers are already standard procedure in entire branches of the industry today. In addition to asset tracking, the technologies used also offer new possibilities for collecting and evaluating position and biometric data of employees. Thus, these technologies can be used for monitoring performance or for tracking worker behaviour, which can lead to additional burdens and stress for employees. In this context, the collection and evaluation of employee data can influence the workplace of the affected employee in the company to his or her disadvantage. The approach of Privacy by Design can help to benefit from all the advantages of these systems, while ensuring that the impact on employee privacy is kept to a minimum. Currently, there is no survey available that reviews tracking and tracing systems supporting this important and emerging field. This work provides a systematic overview from the perspective of the impact on employee privacy. Additionally, this paper identifies and evaluates the techniques used with regard to employee privacy in industrial tracking and tracing systems. This helps to reveal new privacy preserving techniques that are currently underrepresented, therefore enabling new research opportunities in the industrial community.
Highlights
The tracking and tracing of objects has found widespread use in transport and for logistic purposes over the past twenty years
We looked for ATTS which implemented privacy features and had a strong emphasis on this
We collected all arguments from the authors as to why privacy features were implemented in those ATTS and generated the following categories: (1) Information Leakage or Modification (2) Law Compliance (3) Sensitive
Summary
The tracking and tracing of objects has found widespread use in transport and for logistic purposes over the past twenty years. Detailed information about the position and status of an object allows for better planning and scheduling, enabling leaner and more flexible processes, stock reductions and even new business models. Real-time load tracking services have been successfully implemented and provide a clear benefit for logistics companies [1]. The concept of tracking and using this information headstart to optimize processes and to create services is of interest for various fields apart from logistics. In addition to outdoor solutions, indoor positioning systems are rapidly gaining importance in the industry. With the rise of tracking and tracing systems, issues other than the economic benefit have to be taken into account. One of the issues that arise within the industrial use context is the exposure of personal data to a technical system via a (potentially insecure) communication channel
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