## 1 Introduction  
In modern technical systems, it is hard not to notice the dynamic development of new technologies along with the development of science in the field of modern engineering solutions. This leads to a continuous increase in the complexity of systems in which integrated manufacturing, service-related or business processes are implemented. For these processes, it is necessary to make key decisions based on imperfect knowledge, which is quite often burdened with the uncertainty of data, ambiguity and incompleteness of information available. Such complex engineering systems also comprise supply chains that perform specific functions consisting of the movement of goods in space and time under conditions of an ever-changing and uncertain environment and the occurrence of probable disturbances. The challenge facing the current supply chains is ensuring the continuity of supply reliability based on available information. Maintaining the continuity of the supply chain can be achieved by proper management of logistic processes within the operation of the engineering system [1]. One of the basic goals of supply chain management should be risk management and continuity of supply, with particular attention paid to the security and resilience of the supply chain to hazards [1]. Based on the information received, various decisions are taken, and whether the logistics process will be carried out, and in some cases, even whether the security within this process will be ensured is fully dependent on the said information. The correctness and completeness of the information are necessary to perform the tasks and sometimes to guarantee security in logistics processes. Problems with conveying information can end up in interruption or termination of the process, and in some cases, even a disaster. In modern technical systems, one can notice the dynamic development of new technologies, along with the development of science in the field of modern technical solutions. This results in a continuous increase in the complexity of systems in which integrated production, service or business processes are implemented. For these processes, it is necessary to make key decisions based on imperfect knowledge, which is quite often burdened with data uncertainty, ambiguity and incompleteness of available information [2]. Such complex technical systems also include supply chains that perform specific functions involving the movement of goods in space and time in conditions of a changing and uncertain environment and possible disruptions. The challenge faced by modern supply chains is to ensure continuity of supply reliability based on available information [3]. Maintaining the continuity of the supply chain can be achieved by proper management of logistics processes as part of the operation of the technical system [4]. If we assume that the logistic flow is the interconnected flow of materials and accompanying information, then the general concept of logistic costs should also include the cost of information flow. This topic was addressed in the publication [5]. The cost of obtaining information was the motivation to write the article [6]. When considering logistic flows, in the vast amount of information that surrounds us, we need to reject those that can distract us or lead to incorrect operation of processes [7; 8]. Another interesting example is presented in [9], where information is a key element of the logistics process. With regard to the flagship examples of logistics, we can find works embedded in the area of supply logistics [10]. It should be noted that well-chosen information can lead to the success of the process, but disruptions both in the process of informing and poorly selected ways of its transmission will generate costs, see, e.g., [11; 12]. In the practice of enterprises, one can often encounter a situation where the unreliability of a process is not a physical or technical issue but results from insufficient reliability of the information.