Periodica Polytechnica (Budapest University of Technology and Economics)
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An Escalation System for Handling and Analyzing Production Disturbances
Get PDFIn a manufacturing environment the effectiveness of internal problem solving is a key success factor in the service level performance offered to the customers. Broken internal processes need to be fixed immediately or at least in a very short time, in order to fulfill the committed delivery dates. There are several methodologies applied for internal problem solving used by different companies. This article presents a solution worked out for a plant operating in a high-mix low-volume (HMLV) production environment prone to both internal and external disruptions and disturbances. Principles, architecture and information flow in our digitized disruption handling – so-called escalation – system will be shortly discussed. Lessons learned in a six-year’s period of using the system will also be summarized. The recorded data confirm that with the introduction of the escalation system the capability of the plant to adapt to changing circumstances and disruptions greatly improved
Demographic Analysis of Active Transport Mode Users in Urban Context
Get PDFActive transportation, such as walking, cycling, and micro-mobility modes, has received a lot of attention in recent years due to its potential benefits to urban residents, such as less traffic, better air quality, more opportunities to get exercise, and an overall higher quality of life. In this study, we used Classification and Regression Trees (CART) to compare and contrast three mobility options: shared micro-mobility, private micro-mobility, and walking. We surveyed 219 people living in Budapest, Hungary, to learn more about their travel habits and investigate the demographic elements that influence people's mode choice, such as age, gender, ownership of micro-mobility vehicles, education, job, and income. Results showed that ownership of personal micro-mobility vehicles, and age as important predictors of active travel mode choice. Men seem to consider cost and weather conditions when choosing shared micromobility modes, while women value safety and weather conditions. Our findings can guide policy decisions and urban planning initiatives by identifying the most significant predictors of mode choice and evaluating the possible benefits and drawbacks of each mode
Research on Special Phenomena of School Mobility, through the Example of Dunabogdány
Get PDFThe level of traffic safety is always a crucial issue for school-age children, as they represent one of the most vulnerable groups of road users. Problems related to school mobility primarily arise in larger urban areas, but due to the increasing motor vehicle traffic, they have also emerged in smaller communities. During the development of the mobility concept for Dunabogdány, a small settlement in the Danube Bend, we had the opportunity to assess school-related traffic behaviour. However, the results obtained did not always reflect established practices, prompting us to conduct further research to identify the underlying issues. This article presents the results of our additional research, which we compare with findings from other studies. Based on these comparisons, we formulate general suggestions, primarily aimed at enhancing the safety of active transportation for children
Secure Travel Planning Using a Heuristic Algorithm
Get PDFSecurity perception in the urban area has a significant effect on travel behaviour, preferences, and tour planning. The perceptions of security risks can vary depending on factors, such as age, gender, and previous experiences. This study aims to consider security risks when developing travel plans and schedules for various activities. An improved heuristic algorithm, based on the Travelling Salesman Problem with security parameter and flexibility aspects, is proposed. Public transport is considered in three situations: fixed, flexible, and flexible-security situations. The outcomes demonstrate that the flexible situation significantly decreases travel times by 21% compared to the basic (fixed) situation. At the same time, with a slightly increased travel time the security risk can be avoided in the flexible-security situation. Travelers can enjoy a higher quality of travelling and enhanced personal experience by minimizing the journey duration and the impact of security risks on the tour schedule. The proposed method provides significant benefits for transport operators by increasing the efficiency of the transportation system and higher customer satisfaction
Linear Parameter Varying and Reinforcement Learning Approaches for Trajectory Tracking Controller of Autonomous Vehicles
Get PDFThis research focuses on controlling the motion trajectory of autonomous vehicles by using a combination of two high-performance control methods: Linear Parameter Varying (LPV) and Reinforcement Learning (RL). First, a single-track motion model is researched and developed with coordinate systems to determine the car's motion trajectory through signals from GPS. Then, the LPV control method is used to design a controller to control the car's motion trajectory. Reinforcement learning method with detailed training procedures is used to combine with the advantages of LPV controller. Finally, the simulation results are evaluated in the time domain through the use of specialized CarSim software, which clearly demonstrates the superiority of the research method
Modelling the Performance Consequences of Coopetition in Business Relationships – a Quantitative Approach
Get PDFThe objective of the paper is to develop an analytical tool that is capable of modelling decision-making in coopetitive business relationships. Managers in the same industry differ in respect of their willingness to adopt coopetition. To better understand coopetitive decision-making, we need a model whereby such decisions can be experimented with and analysed. An important prerequisite of such a model would be its capacity to measure the performance consequences of coopetitive interactions at both firm and relationship levels. We show that existing operationalisation has limited capacity to do that. Based on existing game theoretical constructs, we propose a new operationalisation of a coopetitive decision-making episode in horizontal business relationships using a two-step sequential game. We suggest developing what we term a “coopetitive composite solution matrix” by summing up the payoff functions of the two steps of the game. The suggested operationalisation has the capacity to measure all the potential performance consequences of a complex piece of coopetitive decision-making in an episode. In this way, the decision problem’s cognitive representation becomes straightforward and analysis of the impact of the behavioural attributes of managers on the actual decision-making process is unambiguous
