Reliability and Statistics in Transportation and Communication Selected Papers from the 18th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’18, 17–20 October 2018, Riga, Latvia
In this volume of “Lecture Notes in Networks and Systems”, we are pleased to present the proceedings of the 18th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat 2018), which took place in Riga in Latvia, from October 17 to October 20, 2018. This event belongs to a conference series started in 2001 and organized annually by the Transport and Telecommunication Institute (TTI) in Riga, Latvia. The mission of RelStat is to promote a more comprehensive approach supporting new ideas, theories, technologies, systems, tools, applications, as well as work in progress and activities on all theoretical and practical issues arising in transport, information, and communication technologies. Results of previous editions of RelStat were published by TTI Publishing House (RelStat 2001–2015) in the journal “Transport and Telecommunication” (ISSN 1407-6160), by Elsevier in the “Procedia Engineering” (RelStat 2016) and by Springer in “Lecture Notes in Networks and Systems”
volume no. 36 (RelStat 2017). Design, implementation, operation, and maintenance of contemporary complex systems have brought many new challenges to “classic” reliability theory. We define complex systems as integrated unities of assets: technical, information, organization, economical, software, and human (users, administrators, and management) ones. Their complexity comes not only from their technical and organizational internal structure, which is built upon diverse hardware and software resources, but also from the complexity of information processes (data processing, monitoring, management, etc.) that must be executed in their specific environment.
Rare demand is an important part of the inventory management, nevertheless there are no any appropriate analytical descriptions or numerical examples of it except separate papers where considered the possibility to describe rare demand with Poisson distribution. The divergence between forecasts and actual data could be explained by the following reasons: the first one—extreme values in preforecasting period, as well as not significant ‘length’ of the analyzed time period; the second one—taking data for the forecast from the period of conduction certain actions (sales, promo, etc.), consideration of these actions might be done with combined forecasting methods. The paper describes the approach to assessment of inventory consumption for rare demand based on Poisson distribution. Besides, the paper contains the numerical examples and analysis of the results.
To date, a diverse array of expert assessments for quantitative (tangible) and qualitative (intangible) objects based on the analytic hierarchy process (AHP) has been accumulated in various fields of knowledge. The systematization and analysis of the collected data made it possible to put forward the hypothesis that some of the indicators (the eigenvalue of the matrix, the consistency index, and the ration of consistency) can be considered in the form of aggregates of random variables representing an intellectual product and reflecting features of human thinking. The systematization and statistical processing of the results obtained by experts on the basis of the AHP showed that the distribution functions of the values of expert estimates for the consistency indices significantly differ from the similar functions of the generated matrices.
. In the article the logistics management and SCM organizational structures researchfindings that were conducted by the NRU HSE International Centre of Training in Logistics in 2014–2016 are considered. The sample of companies operating on Russian market accounted about 400 organizations. The form for the respondents of online survey was created. Each participant esti-mated the logistics management organizational structure (logistic and/or SCM department) individually. The assessment was conducted from the perspective of the correspondence between the organizational structure and corporate and logistics strategies, key business processes, organizational structure management efficiency, functional employees allocation and so on in the different aspects of supply chains and logistics controlling. The examples of typical logistics management structures of line and staff, matrix and project oriented structures are shown. Taking into consideration the importance of the SCM best practices and innovative technologies usage, the questions are highlighted in detail and a great variety of examples in SCM departments organizational planning are given.