Blekinge Institute of Technology

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    1855 research outputs found

    Agent-based simulation of freight transport between geographical zones

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    We present TAPAS-Z, which is an agent-based freight transport analysis model for simulation of decision-making and transport activities. TAPAS-Z is a further development of a simulation model called TAPAS, and it has improved support for simulation of transport in large geographical regions. It is based on the principles that shipments are simulated for chosen supplier-consumer relations in a geographic region, and that the geographic locations of suppliers and consumers are randomly varied for each shipment. In TAPAS-Z, one supplier represents all real-world suppliers in a geographic zone, and one consumer represents all real-world consumers in a zone. In that way, TAPAS-Z is able to capture some of the diversity in freight transport that is caused by the varying geographic locations of senders and receivers, and which is important when assessing the impact of transport policy and infrastructural measures

    Multi-Strategy Based Train Re-Scheduling During Railway Traffic Disturbances

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    Disruptions and delays in railway traffic networks due to different types of disturbances is a frequent problem in many countries. When disruptions occur, the train traffic dispatchers may need to re-schedule the traffic and this is often a very demanding and complicated task. To support the train traffic dispatchers, we propose to use a parallelized multi-strategy based greedy algorithm. This paper presents three different parallelization approaches: (i) Single Strategy with a Partitioned List (i.e. the parallel processes originate from different starting points), (ii) Multiple Strategies with a Non-Partitioned List, and (iii) Multiple Strategies with a Partitioned List. We present an evaluation for a busy part of the Swedish railway network based on performance metrics such as the sum of all train delays at their final destinations and the number of delayed trains. The results show that parallelization helps to improve the solution quality. The parallel approach (iii) that combines all re-scheduling strategies with a partitioned list performs best among the three parallel approaches when minimizing the total final delay. The main conclusion is that the multi-strategy based parallel approach significantly improves the solution for 11 out of 20 disturbance scenarios, as compared to the sequential re-scheduling algorithm. The approach also provides an increased stability since it always delivers a feasible solution in short time

    Decision Support Approach for Modeling Sustainability Consequences in an Aerospace Value Chain

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    Next generation jet engine technologies are typically driven by performance, value and environmental challenges, and appropriate technologies are developed in international research programs. One on-going engine component technology project at an aerospace component manufacturer aims to develop an engine with less fuel consumption. A likely consequence is higher pressure in the core engine, which leads to higher temperature. One way to handle the higher temperature is using a more advanced Ti-alloy for the product component, which will render a different sustainability profile. One weakness in current decision situations is the inability to clarify and understand the “value” and “sustainability” implications compared to e.g. performance features of concepts. Both “value” and “sustainability” include a rich set of features important for successful introduction of new products and product-service solutions to the market. The purpose with this research is to provide decision support for companies in early development phases for assessment of value and sustainability consequences over product-service system lifecycles. A workshop was held with the aerospace component manufacturer and a value chain partner focusing on material handling, to: i) get a better understanding of activities, flows and ownership related to the studied materials at the two companies, ii) to understand the companies’ perspective at new suggested scenarios with regard to these materials, and iii) define relevant scenarios to look into more in depth from asustainability and value perspective. Three different scenarios were developed with differences in ownership, responsibilities and value streams. It is therefore essential to be able to quickly assess and optimize consequences of such alternative scenarios. Based on the workshop experiences and scenarios, a modeling and simulation approach to assess sustainability and value consequences for the scenarios is proposed. The sustainability consequences are based on a sustainability life cycle assessment and a risk assessment. Key features of the proposed tool include: consideration of the time dimension, societal sustainability consequences, risk assessment, company value assessment, and cost/revenue perspectives

    Trouser tear tests of two thin polymer films

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    Trouser tear testing has been concerned in this research work. A polypropylene film and a low density polyethylene film used in the packaging industry are considered. The experimental trouser tear tests showed different results for both materials when they were subjected to load in different material directions. Therefore the hypothesis was verified, that the in-plane material orientation/alignment induced during manufacturing, hence creating anisotropic in-plane mechanical properties, also affects the tearing behavior. A brittle-like failure was shown in the polypropylene film while the low density polyethylene presented a highly ductile behavior. The two polymer films can be classified as one low-extensible and one high-extensible material according to the test method utilized. Material parameters in the principal material directions i.e. manufacturing direction and cross direction were extracted from the experimental tests for further numerical studies. Scanning electron microscope was used for micromechanical and fractographical analysis of the crack tip and crack surfaces created during the tests. The methods discussed will help classify different groups of materials and can be used as a predictive tool for the crack initiation and crack propagation path in packaging material, especially thin polymer films

    Conservation laws and exact solutions for nonlinear diffusion in anisotropic media

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    Conservation laws and exact solutions of nonlinear differential equations describing diffusion phenomena in anisotropic media with external sources are constructed. The construction is based on the method of nonlinear self-adjointness. Numerous exact solutions are obtained by using the recent method of conservation laws. These solutions are different from group invariant solutions and can be useful for investigating diffusion phenomena in complex media, e.g. in oil industry

    Towards Guidelines for Conducting Software Process Simulation in Industry

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    Background: Since the 1950s explicit software process models have been used for planning, executing and controlling software development activities. To overcome the limitation of static models at capturing the inherent dynamism in software development, Software Process Simulation Modelling (SPSM) was introduced in the late 1970s. SPSM has been used to address various challenges, e.g. estimation, planning and process assessment. The simulation models developed over the years have varied in their scope, purpose, approach and the application domain. However, there is a need to aggregate the evidence regarding the usefulness of SPSM for achieving its intended purposes. Objective: This thesis aims to facilitate adoption of SPSM in industrial practice by exploring two directions. Firstly it aims to establish the usefulness of SPSM for its intended purposes, e.g. for planning, training and as an alternative to study the real world software (industrial and open source) development. Secondly to define and evaluate a process for conducting SPSM studies in industry. Method: Two systematic literature reviews (SLR), a literature review, a case study and an action research study were conducted. A literature review of existing SLRs was done to identify the strategies for selecting studies. The resulting process for study selection was utilized in an SLR to capture and aggregate evidence regarding the usefulness of SPSM. Another SLR was used to identify existing process descriptions of how to conduct an SPSM study. The consolidated process and associated guidelines identified in this review were used in an action research study to develop a simulation model of the testing process in a large telecommunication vendor. The action research was preceded by a case study to understand the testing process at the company. Results: A study selection process based on the strategies identified from literature was proposed. It was found to systemize selection and to support inclusiveness with reasonable additional effort in an SLR of the SPSM literature. The SPSM studies identified in literature scored poorly on the rigor and relevance criteria and lacked evaluation of SPSM for the intended purposes. Lastly, based on literature, a six-step process to conduct an SPSM study was used to develop a System Dynamics model of the testing process for training purposes in the company. Conclusion: The findings identify two potential directions for facilitating SPSM adoption. First, by learning from other disciplines having done simulation for a longer time. It was evident how similar the consolidated process for conducting an SPSM study was to the process used in simulation in general. Second the existing work on SPSM can at best be classified as strong ``proof-of-concept’’ that SPSM can be useful in the real world software development. Thus, there is a need to evaluate and report the usefulness of SPSM for the intended purposes with scientific rigor

    Towards a Prediction Model for People Movements in Urban Areas

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    The aim of this work is to develop a new type of service for predicting and communicating urban activity. This service provides short-term predictions (hours to days), which can be used as a basis for different types of resource allocation and planning, e.g. concerning public transport, personnel, or marketing. The core of the service consists of a forecasting engine that based on a prediction model processes data on different levels of detail and from various providers. This paper explores the requirements and features of the forecast engine. We conclude that agent-based modeling seems as the most promising approach to meet these requirements. Finally, some examples of potential applications are described along with analyses of scientific and engineering issues that need to be addressed

    Monitoring Infrastructure Affordances

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    Computing has made its way into most of our lives as a key processor of vast quantities of information. This has happened directly in terms of gadgets and devices that assists us in everyday life, but also indirectly, through the critical infrastructures that enables these devices to function. A key issue with critical infrastructures such as transportation, communication, power-grids and finance, is increasingly circular interdependencies. Because of this issue, a disruption in either one can cascade and have a global effect on the others. To manage these complexities, we are depending on a number of monitoring systems that allow operators and other stakeholders to, within their respective expert domains, discover disruptions as early as possible and then take appropriate actions. These monitoring systems are not without challenges of their own. In addition to having evolved organically alongside their respective infrastructures, there is a considerable legacy to account for, with both hardware and software components spanning decades of computing history. This puts heavy restrictions on the kinds of interventions that can be performed safely, implying that these systems are ill fit for handling the software and software security landscapes of today, where updates and adjustments need to be applied on a daily basis in order to stand a fighting chance. The work presented herein address some of the major challenges in securing these monitoring systems against current and future threats posed by antagonistic actors, dormant software defects and changes imposed by technological advances and academic discoveries. This is approached on several fronts in parallel: by embedding resilience in order to allow for controlled experimentation and evaluation of new protection mechanisms in incrementally sensitive settings; by developing laboratory facilities for resilient smart power-grids; and by developing tools and training scenarios for operators of adaptive and reconfigurable monitoring systems

    Vetenskapligt skrivande - filosofi, psykologi och pedagogik

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    Det här bidragets ”nyttovärde” består av en argumentation mot en ofta överdriven och obefogad tilltro till den vetenskapliga textens möjligheter. Man kan definiera en text som ett erbjudande om tolkning av sändarsens avsikt, situation och känslor. En skriftlig diskurs å andra sidan uppstår när utbyte av idéer och erfarenheter kommer till stånd mellan parterna. Textdiskurser innehåller instrumentella och sociala dimensioner som tillsammans överför parternas mål och avsikter. Vid ansökningar om forskningsanslag kommunicerar vi med vetenskapligt språk. Med dialogism som mål finns det förutsättningar för interaktivt utbyte av information, förslag och idéer mellan sökande och myndighter. Med andra förutsättningar skulle de senare kunna erbjuda informations- och idéstöd, diskustera ansökningstextens utformning, ange innehållskriterier, specificera omfattning, föreslå referenser m.

    Discharge planning: Narrated by nursing staff in primary healthcare and their concerns about using video conferencing in the planning session – An interview study

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    Background/Objective: This paper sets out to describe experience-based reflections on discharge planning as narrated by nursing staff in primary healthcare, along with their concerns about how the introduction of video conferencing might influence the discharge planning situation. Methods: Interviews were conducted with nursing staff working at a primary healthcare centre in South East Sweden. Each interview took place was conducted on a one-to-one basis in dialogue form, using open questions and supported by an interview guide. It was then analysed using a phenomenological hermeneutic method. Participants were eligible for the study if they had given their informed consent and if they worked with discharge planning and home-based healthcare provision. In total, 10 of the 30 persons working at the primary healthcare centre participated in the study. Results: It was found that nursing staff in primary healthcare regarded the planning session as stressful, time-consuming and characterised by a lack of respect between nursing staff at the hospital and nursing staff in primary healthcare. They also described uncertainty and hesitation about using video conferences where patients might probably be the losers and nursing staff the winners. Conclusions: It is suggested that there is a need for improvement in communication and understanding between nursing staff at the hospital and nursing staff in primary healthcare in order to develop discharge planning. There is also a need for the nursing staff in primary healthcare to obtain more information about how Information Technology (IT) solutions could support their work and help them to find ways to collaborate

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