List of Abstracts 2022: SESSION C - DISTRIBUTION LOGISTICS, TRANSPORT
Date: June 15, 2022
The publication is focused on solving the model of selection of transport modes in the logistics system. The individual modes of transport are evaluated in terms of their specific properties to find the optimal solution variant. The analysis of technical and economic parameters of existing and forecasted connected transport networks is closely related to this model.
Economic criteria are essential when drafting a specific route. Therefore, there is also a model of economic costs for transport for each edge, where the prices for transport in the section given by individual edges of the graph are corrected by criteria for the parameters of the section of the route (capacity, reliability, speed, safety, transshipment, etc.). The use of multicriteria analysis in the selection of transport modes and solutions using the economic model is also presented here.
When designing a combination of individual transport modes, it is necessary to evaluate the optimal route and thus also information about possible changes in development and orientation. When evaluating the optimal route, it is necessary to process information concerning railway corridors, road networks, seaports, and air transport. The economic stability of the countries concerned must also be considered.
The paper is focused on interchange nodes between trains and regional buses. Sometimes it is necessary to use railway station and bus terminal located at different positions in the municipality. The issue is how to improve operational stability and reliability for passengers walking between these stops. State-of-art effort by organizing public transport is to minimize transfer time. This is contrast with possible delays of individual public transport services and the operational reliability. Interchanges may be affected in a negative way. Need to walk between stations can amplify passengers’ discomfort. Simulation model designed as result of this research will provide possibility to check time schedules of both public transport modes and to indicate connections (pairs of trains and buses) with not so good operational stability (high risk to lose connected service). The benefit of the model is the fact that it combines microscopic with macroscopic into mesoscopic point of view. The case study is focused on interchange node of Přelouč located in the city agglomeration of Hradec Králové and Pardubice in the Czech Republic. There 2 bus terminals in this municipality, the first in front of the railway station, the second in distance of ca. 600 m from the railway station. This allows assessment of impact of this distance on operational reliability. The model allows transport planners to identify which interchanges are unstable. Possible modifications of time schedule can be considered by this model as well to protect worsening of stability at different interchanges.
The issue of distribution logistics including all sub-processes is very topical. E-commerce experiencing a great expansion every year, which has been exacerbated by the ongoing pandemic. As a result, there is increasing pressure to streamline distribution logistics processes within last mile logistics. One possible solution is to reduce the time of the shipment consolidation process by using automatic identification technologies (e.g., using radio frequency identification technology), as logistic service providers mostly use barcodes or 2D code technology for automatic data processing. The article focuses on the effectiveness of automatic identification technologies in shipment consolidation process. The aim of the paper is to find out what time savings the implementation of radio frequency identification technology can bring compared to barcode technology in the process of shipment consolidation. The analyzed automatic identification technologies are compared experimentally using the Laboratory of Automatic Identification at the University of Pardubice, Faculty of Transport Engineering. Subsequently, a shipment consolidation model is created in Witness Horizon software using a dynamic simulation that simulates the duration of the shipment consolidation process for different inputs and the automatic identification technology used. The main monitored parameter is the total duration of the shipment consolidation process for different model input parameters. The experimental and dynamic simulation results are compared in the context of other studies.
The relationship between logistics and transport is very close, as transport ensures the physical movement of the product from the place of production to the place of consumption. Transport is a significant factor of time, it is the bearer of the speed and reliability of product relocation, it is one of the most important elements of the logistics system. It forms a very important and irreplaceable place in the logistics chain from the material supplier to the customer. In passenger rail transport, logistics deals mainly with the planning, organization, management and control of all activities between entities entering the transport process, and thus creates the conditions for ensuring safe, reliable, sufficiently fast and convenient passenger transport at optimal prices in cooperation with other modes of transport. The basic strategic goal is to ensure maximum fast, high-quality and convenient transport services in the area with a positive impact on the optimal interconnection of individual regions and their economic development. The ideal solution is to introduce an integrated transport system, in which transport and tariff conditions are unified. The larger the integrated transport system in place, the better for the traveling public, and at the same time the logistics of public passenger transport operate at a higher level. The article focuses on the relationship and functions of city logistics and the subsequent application of some logistics technologies to transport services in passenger transport, as well as the comparison of transport chains in passenger transport.
The weather can easily affect human activities. Therefore, it is very important to plan our activities so that the weather does not affect the safety of it. Transport is one of those human activities where information on current and predicted weather conditions is very important. All modes of transport are dependent on information of current and predicted weather especially in the period of transportation process. Precise weather information is of vital importance for air transport. This paper deals with dangerous weather phenomena that affect air transportation in a very negative way and could also lead to termination of air transport services. More specifically, the paper deals with thunderstorm phenomena that often occur at Slovak airports in the summer season.
Increasing the efficiency of processes in warehouse facilities is now required in every industry. One of the important decision-making problems is the proper utilization of storage space. The paper presents research results on the application of architecture for storage location occupancy detection based on computer vision methods and deep learning models. The paper contains a detailed description of the developed solution and an estimation of the solution performance.
The purpose of the paper is to conduct the customer segmentation based on online shopping motives and their preferences for last mile deliveries in rural areas in Poland. On-line customer segments were identified on the basis of the motives for making purchases using fuzzy cluster analysis. This approach is more flexible and provides more information as it allows customers to partially belong to segments. Segments were profiled due to preferences for last mile deliveries in rural areas.
The paper deals with the quality and logistics of transport services provided during a two-year pandemic period. It sets out key evaluation indicators when choosing delivery transport services. Part of the paper deals with theories about the logical evaluation of criteria for transport services due to the occurrence of many negative phenomena caused by the global pandemic situation, which is still receiving relatively much attention. This issue is analyzed in several ways in the paper and illustrated on the model situation of a particular delivery service company. The method of outsourcing is used in the paper.
Road bypasses of cities are built primarily for the purpose of detouring transit traffic from cities to their periphery. Urban roads are then released and used primarily by traffic flows with origin or destination in the city and inner-city individual and public transport. The use of urban roads depends, among other features, on the usability of the bypass in context of achievability of the surrounding municipalities. Several factors influence the demand for bypass, such as the distance of the bypass from the city, the access options from bypass to the destination. The aim of the article is to find and evaluate these factors using the possibilities of transport modelling. This analysis will be carried out for several categories of cities depending on their size and regional importance. Individual and public transport (road) will be monitored. The analysis using a transport model will be used.
The demand model is an essential element in any decision support model in the field of transport and logistics. The adequacy of the applied demand model and the data used to develop it assure correct simulation results of logistics systems. Modeling of demand for transport services is a particularly complex problem due to a large number of stochastic factors forming demand and limited access to sources of up-to-date demand parameters.
We propose to describe the demand for cargo deliveries based on a model of the requests flow, which generates respective informational, material and financial flows in a transport system. Such an abstraction corresponds to the used principles of communication between the transportation market entities.
The paper introduces some numeric results of the demand simulations with the use of the developed software: simulations of demand for forwarding services, demand for services of a public transport line, and demand for services of a parking lot.
The proposed approach allows researchers and transport managers to consider the stochastic nature of demand for transport services. The developed software for modeling demand for transport services is a tool for estimations of numerical parameters of the requests flow as random variables, which also considers the distribution of demand concerning geographic regions (if it is relevant). The proposed class library for modeling interactions between transport market entities is an effective tool for modeling demand for transport services, as evidenced by the results of the simulation experiments.
The demand model based on the presented approach could be used as a subsystem of other more sophisticated simulation models to solve several problems in the area of transportation systems management, for example: defining the strategies of companies in the transport market, developing effective variants of the customer service processes, improving the vehicles fleet structure, etc.
In Europe, intermodal transport is an indispensable element of transport policy, mainly because of the reduction of the negative effects of road transport on the environment, fuel and energy consumption, highway and road maintenance costs, land take and road safety. The geographic location of the Slovak Republic predetermines and accentuates the importance of transit transport in the west-east and north-south directions. Intermodal transport in the Slovak Republic has very good conditions in the road-rail system, because the Slovak Republic has a well-developed rail and road network within its transport infrastructure. The aim of the article will be the comparison of different types of intermodal transport units transported by rail freight transport together with the selected type of goods.