The paper presents problems of decision-making for planning and implementation of vehicle service system supplies with spare parts under incomplete information. The lack of effective supply planning models using artificial intelligence principles contributes to widening the gap in the problem. The analyses confirm that information uncertainty is one of the main factors in supply failures leading to financial losses for both vehicle service stations and supply companies. Authors structured national vehicle service system by classifying its three different segments. This allowed the identification of risks of making incorrect logistics decisions in each of defined segments. It has been shown that the supply planning process in each of segments is carried out according to different rules. Authorial decision models for each of segments are then presented. The models can be used as a tool to support and improve supplying vehicle service stations in conditions of information uncertainty. In the application part, a proprietary algorithm has been developed to solve proposed models.
The article concerns on a methodological approach to design Rest and Service Areas. Because there is recorded steady growth in food cargo that require specific temperatures its resulting in an increase in demand for specialized transport. Transportation of food is usually done using vehicles equipped with refrigeration or heating. The article presents the design requirements for Rest and Service Areas (RSA), which is one of the most important elements of the road network, that condition affects the safety of drivers and cargo. Based on growth assumptions of effectiveness a functional model of RSA consisting five data bases and nine research tasks has been proposed. As a primary parameter studied in the model was the RSA effectiveness assessed by the rate of parking spaces utilization. The values of this index were estimated according to the share of traffic cars leave the motorway to the traffic flow of cars on the motorway. Evaluation of test results was based on the indicative comparative analysis of the existing and forecasted traffic flows of trucks with loads sensitive to the conditions and the time of their carriage. In the article pointed out that decisions taken in the course of modernization of the national RSA network should be reviewed and assessed through simulation studies of the transport process taking into account different boundary conditions, a risk analysis of transport depending on the type of transported cargo and analyze the efficiency and profitability of the national network creation of parking places adapted to specialized service of trucks carrying food cargo.
Industrial companies are linked with affiliated firms, suppliers and customers through the supply chains. Such chains operate within large-scale networks directly related to distribution and warehousing. In order to meet the market demands and customer new expectations, the various components of the supply chains have to be developed i.a. through implementation of the innovative vehicles, green and blue technologies. Moreover, modernization processes of transport and logistics system need to be resistant to crucial mistakes related to innovative solutions implementation in order to exclude domino effect occurrence. The authors attempt to build topology-based approach to the modernization of transport and logistics systems. It is assumed that each innovation application is the independent element-based coalition, possessing linked object structure. The results of multi-year researches demonstrate the offered approach as a useful tool to analyze innovative changes for obsolete transport and logistics system as hybrid structure. The ways of system structure transformation, as well as possible innovative effects are considered. The preliminary results have been obtained for compositions on meso-level for the case of marine propulsion modernisation. The paper is illustrated by various examples.
The article presents the problem of planning effective modular supply chains to resist adverse events. The lack of effective models for planning such supply chains based on the synergy of individual links widens the knowledge gap in this area. The analyses confirm the legitimacy of forming effective and reliable supply chains ready for fitting supplies to specific orders, adaptation to flexible and innovative transformations, and minimization of time losses and costs of restoring supply capacity in case of a threat. The authors provide a theoretical analysis of the problem and present a proprietary approach to constructing reliable modular supply chains in the automotive industry. It has been shown that the synergy effect can measure the effectiveness of the design of such chains. A proprietary synthesis model was presented. The model can serve as a tool to support the planning of modular supply chains that are resistant to adverse events.
This article presents the methodology of information analysis, required for planning safe road transport of sensitive cargoes. Based on the literature studies we found that the traditional approaches applied to analyze traffic information are insufficient to ensure safe transport of sensitive loads as they fail to take into account several threatening factors. In addition, the need was noted to develop the procedures that may allow to choose a transport route considering appearance of so-called high-risk zones within road infrastructure, analyze the interdependence of such zones with errors made during the design or operation of road infrastructure and investigate the impact of road traffic on the frequency of road accidents involving Heavy Goods Vehicle. Therefore, article aims to present an integrated approach to traffic information analysis. Thus a multiple stage data ordering procedures were proposed, based on grouping information on accident rates and inclusion of audit results of selected route sections. Considering that transport infrastructure plays an important role in transport safety, the proposed methodology includes the analysis of errors in infrastructure and a merger in the sections the detected risk zones within the road infrastructure in any location. Application of this methodology can improve the planning of road transport of sensitive cargoes. Its verification was carried out on the example of a selected route running through Poland. During the audit of the route, it was found that a number of incorrect design solutions were applied on its separate sections, which may lead to high values of the severity factor for potential collisions and indicator of possible post-accidental losses. As a result of the research, the areas of the route were identified, where high-risk zones are located that threaten the safety of road traffic of vehicles, including those carrying sensitive loads. Research results may be of interest for those, who are involved in planning and organization of sensitive cargo transport, both in domestic and in international relations.
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