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Senast publicerade

Design för ökad flexibilitet av betongpontoner i marinor
(2026) Lehti, Anton; Sander, William
Due to the current design of SF Marina’s concrete pontoons, maintenance of cables and water lines as well as changes to the configuration of pontoon accessories are cumbersome. Casting channels for cables and water lines, as well as customizing each pontoon for features such as the placement of mooring bollards, also leads to increased manufacturing costs. The goal of this thesis is to develop a product concept resulting in increased flexibility and user-friendliness of the pontoons, while simplifying their manufacturing process and maintaining essential functions. The work begins with a preliminary study, during which the use of the current product is observed, and boat owners and marina staff are interviewed. Calculations of critical load cases are made, and concept requirements are defined based on these calculations as well as insights from the preliminary study. Concept ideas are generated, partial solutions from different ideas are combined using a morphological matrix, and a concept is selected by filtering the resulting combinations using a PNI-method. The concept’s components are then further developed to increase their functionality and enable their manufacture. The final concept involves a solution consisting of an aluminum profile, mounted on the side of the pontoon. Cables and water lines run through an easily accessible space, while mooring bollards and mooring booms are clamped on and can be moved sideways independently of each other, enabling several different configurations. This solution thereby increases flexibility and reduces the effort required to modify the pontoon’s layout, while also simplifying manufacturing by eliminating the need for cast-in channels in the concrete.
Transforming Sales and Operations Planning in a Complex Defence Industry Environment
(2026) Punt, Erik; Stevrell, Jennifer
This master’s thesis investigates how Sales and Operations Planning (S&OP) can be further developed within a complex defence industry environment characterised by rapid growth and high product complexity. The empirical context is further characterised by hybrid production strategies, increasing geopolitical demand, long lead times, and engineering-intensive products. The purpose of the study was to analyse the current S&OP process, identify key weaknesses and maturity gaps, and evaluate how process development and digitalisation can improve decision support, cross-functional coordination, and business performance. The results show that Saab Surveillance has established an initial BA-level S&OP structure that has improved transparency and created a first framework for balancing demand and capacity. However, the process remains highly manual, fragmented, and dependent on extensive data aggregation. Twelve structural weaknesses were identified, including unclear governance structures, varying data quality, limited integration between organisational levels, insufficient performance measurement, and weak alignment between strategic, tactical, and operational planning. Based on the findings, a future-state S&OP framework was developed focusing on six central dimensions: strategic alignment, organisation, process, tools and data, performance management, and culture and leadership. The study also identifies several potential business values associated with a more mature S&OP process, including improved delivery precision, better resource utilisation, reduced operational instability, and enhanced decision support. The thesis contributes to the existing S&OP literature by examining planning transformation within a relatively underexplored defence industry context characterised by rapid growth, hybrid production strategies, and high organisational complexity.
Utveckling av en automatiserad SPA3testfixtur för UART- och JTAG-verifiering - Design och implementering av en hårdvaru- och mjukvaruplatt form för automatiserad verifiering av debug- och kommunikationsgränssnitt
(2026) Abughalioun, Fatma
Moderna fordonsplattformar innehåller ett ökande antal inbyggda elektroniksystem som kommunicerar via standardiserade debug- och kommunikationsgränssnitt [1]. I samband med Volvo Cars introduktion av SPA3-plattformen (Scalable Product Architecture 3) förändrades debugarkitekturen på de använda DUT-korten (Device Under Test) fundamentalt. De bussomkopplare och den gemensamma debugkontakt som använts i SPA2-plattformen togs bort och ersattes med individuella debugtestpunkter direkt på DUT-kortet per nod. Den befintliga testfixturen, designad för SPA2, var därför inte längre kompatibel med den nya plattformen. Detta examensarbete beskriver hur en ny automatiserad testfixtur designades och implementerades för SPA3-plattformens Sisyphos-DUT-kort. Den framtagna lösningen innefattar en komplett PCB-design i KiCad med en tvåstegs multiplexerarkitektur baserad på 74HC4051-kretsar [2], ett Teensy 4.1-baserat firmwaresystem med automatiserade verfieringstester, samt en 3D-utskriven mekanisk DUT-hållare för repeterbar och korrekt kontaktpositionering. Testfixturen verifierar automatiskt JTAG-kontinuitet och bryggdetektion för sex noder med upp till sex signaler vardera (TMS, TCK, TDI, TDO, RST, TRST) [3], UART RX-pogopinkontakt [4], fyra individuella VREF-spänningsrälser (1,8 V och 3,3 V), jorddetektering samt sju fjärrjumpers och en SGA-säkring. En fullständig korsmatristest identierar såväl öppna kretsar som kortslutningar mellan intilliggande signaler. Testning mot ett faktiskt SPA3-fordonssystem bekräftade korrekt funktion hos samtliga implementerade testprocedurer. En praktisk utmaning som uppstod under projektet var det extremt täta testpunkts mönster på SPA3-DUT-kortet, vilket krävde modifiering av pogo-pinnfotavtrycket i KiCad och manuell formning av pogo-pinnbasarna med hjälp av en bänkslipmaskin. Projektet demonstrerar att en kombination av tvåstegs multiplexertopologi, analog ADC-baserad signaldetektion och I2C-styrd LED-matris utgör en praktisk och kostnadseffektiv lösning för automatiserad verifiering av debug-gränssnitt på inbyggda fordonsystem.
Older Drivers’ Information Needs in Road Infrastructure to Prevent Wrong-Way Driving
(2026) Andersson, Klara; Mielcarek, Marcin
Wrong-way driving (WWD) occurs when a driver starts driving in the opposite direction on the motorway, for instance by entering the motorway from an exit ramp or by making a U-turn. Older drivers are overrepresented when it comes to WWD and even though this problem is rather uncommon, it often results in severe accidents. The topic has been researched in countries such as the US, Germany and Japan but in Sweden, the knowledge about this phenomenon is still limited. The aim of this project was to investigate older drivers and their information needs in road infrastructure to design solutions that can prevent WWD. Insights from a literature review and user studies were translated through a design process into solutions and guidelines. Cognitive and physical capabilities of older drivers as well as common reasons behind WWD were explored through a literature study. User studies were also conducted with the target group. The outcome of the project was a set of guidelines for road design with a focus on older drivers and WWD as well as 9 design concepts with different approaches to prevent WWD such as improved signage, improved road geometry and reduced cognitive load. The study found that WWD is a complex issue that cannot be solved in the same way in all locations and for every situation. The study also found that older adults generally are experienced and safe drivers. Although there are some general tendencies of aging, there can be large individual differences. However, making alterations such as providing clear and repeated information as well as minimising cognitive load and time pressure could make the road infrastructure more adapted to older drivers and thereby prevent the risk of WWD
Avkodning av ytkoder för kvantfelskorrektion med grafneurala nätverk
(2026) Granath, Noa; Johanson, Felicia; Larsson, Hugo; Peterson, Emanuel; Riveron, David; Shafiq Ahlgren, Simon
Kvantdatorer har potential att lösa beräkningsproblem som är svåra eller praktiskt omöjliga för klassiska datorer, men deras utveckling begränsas av att kvantbitar är mycket känsliga för brus och fel. För att möjliggöra storskalig kvantberäkning krävs därför effektiva metoder för kvantfelskorrektion. I detta arbete undersöks om grafneurala nätverk (GNN) kan användas som avkodare för ytkoder och prestera bättre än den etablerade metoden Minimum Weight Perfect Matching (MWPM). Projektet fokuserar på ytkoder med kodavstånd d ∈ 3, 5 implementerade på kvantdatorn IBM Miami med Nighthawk r1-processorn. Data genererades först från verkliga körningar, varefter data från en Detector Error Model (DEM) genererades utifrån den experimentella datan. Den utvecklade modellen består av en kombination av ett grafneuralt nätverk och ett rekurrent neuralt nätverk (GNN-RNN), där syndromdata representeras som grafer för att fånga både rumsliga och tidsmässiga samband mellan detektionshändelser. Modellen tränades på NAISS GPU-kluster Alvis, först på simulerad data och finjusterades därefter ytterligare med experimentell IBM-data. Resultaten visar att den färdigtränade GNN-RNN-avkodaren uppnår lägre logisk felfrekvens än MWPM för samtliga undersökta kombinationer av kodavstånd och antal rundor T ∈ 10, 20.