Warehouses are essential for any logistical operation, and Forklifts are efficient tools for moving products and pallets inside warehouses. Forklifts are also heavy machines that are prone to inflict damage on pallets and goods. The demand for forklift operators increases with the demand for forklifts. Inexperienced forklift operators must be equipped with the right tools to carry out everyday tasks with minimum damage. This thesis focuses on investigating the damages that occur by forklifts in warehouse settings, and what measures that can be taken to reduce the damages. Contrary to existing literature that explores damages from the perspective of packaging technology, this study explores how damages happen and how they can be mitigated from the forklift's point of view. The investigation took part in a warehouse that carry out operations for a large furniture manufacturer. A case study was conducted and two major damage types were identified: puncture damages and impact damages, and the most common cause for the occurrence of these damages is the lack of visibility. The case study was followed by a design process to find a solution that fits the end users. The final concept takes form as a system solution, consisting of a sensor-based system that assists the forklift operator during loading and unloading. Along with this, a bumper was developed to mitigate the damage inflicted on goods during handling of goods. / Varulager är avgörande för all logistisk verksamhet. Gaffeltruckar är effektiva verktyg för att flytta produkter och pallar inuti varulager. Gaffeltruckar är dock tunga maskiner som är benägna att orsaka skador på både pallar och gods. Efterfrågan på gaffeltruckförare ökar tillsammans med efterfrågan på gaffeltruckar. Oerfarna truckförare måste vara utrustade med rätt verktyg för att utföra dagliga uppgifter med minimala skador. Detta examensarbete fokuserar på att undersöka de skador som sker på grund av gaffeltruckar i lagermiljöer, och vilka åtgärder som kan vidtas för att minska skadorna. Till skillnad från befintlig litteratur som utforskar skador ur förpackningsteknologins perspektiv, undersöker denna studie hur skador uppstår och hur de kan minskas från en gaffeltrucks synvinkel. Utredningen tog plats i ett lager som bedriver verksamhet åt en stor möbeltillverkare. En fallstudie genomfördes och två primära skadetyper identifierades: punkteringsskador och slagskador, och den vanligaste orsaken till att dessa skador uppstår är bristen på sikt. Fallstudien följdes av en designprocess för att hitta en lösning som passar slutanvändarna. En produktutvecklingsprocess resulterade i en systemlösning, bestående av ett sensorbaserat system som hjälper truckföraren vid lastning och lossning. Tillsammans med detta utvecklades en stötfångare för att mildra skadorna på gods vid godshantering.

This dissertation is comprised of three different studies researching user perception of comfort when using wearable technology. The first study investigated the use of altered smart glasses to study comfort, preference, and performance while executing common logistical order picking and shipment putting tasks. The impact of design type (weighted front, side, or back) was investigated using comfort rating scales (CRS). There was no significant difference in device preference regardless of task type. Despite the side weighted arrangement being the most comfortable, the participants still felt uncomfortable. The second study explored modifying the weights to the six dimensions of the CRS to create a comfort score. There was a strong correlation between the weighted and unweighted comfort score. Participants identified Harm as the most important dimension. The results suggest that the participants valued importance did not make a difference in the comfort score. The final study examined the use of a wand scanner and two wearable devices to study comfort and performance while executing common logistical shipment putting tasks. The impact of the wearables was investigated using the CRS. Participants identified the ring and wand scanner to be the most comfortable and the glasses as the least comfortable device. The CRS scores showed that participants became more uncomfortable using the smart glasses over time during the completion of the putting task. These three studies provided insight for industry from a comfort perspective that will be helpful when trying to incorporate wearable technology in the work place.

This thesis is an exploration of how small independent residential units added one at a time can offer old buildings and the cities they are in the opportunity to gradually grow and change – in a way that isn’t presented by the typical double-loaded corridor build-out. The first component of this exploration is a modular unit that can be brought into existing buildings and assembled in a flexible layout. This House acts as a ‘Core’ that provides basic shelter, warmth, and a place to sleep and prepare food; the density of this unit allows the surrounding square footage to be used for other activities: kids playing, welding a project, or setting up easels for painting. The second part of this exploration is a pattern-based approach to the interaction of these units within the building: given certain rules that govern arrangement what are some possible spatial outcomes?

The importance of Clinical Data Warehouses (CDW) has increased significantly in recent years as they support or enable many applications such as clinical trials, data mining, and decision making. CDWs integrate Electronic Health Records which still contain a large amount of text data, such as discharge letters or reports on diagnostic findings in addition to structured and coded data like ICD-codes of diagnoses. Existing CDWs hardly support features to gain information covered in texts. Information extraction methods offer a solution for this problem but they have a high and long development effort, which can only be carried out by computer scientists. Moreover, such systems only exist for a few medical domains. This paper presents a method empowering clinicians to extract information from texts on their own. Medical concepts can be extracted ad hoc from e.g. discharge letters, thus physicians can work promptly and autonomously. The proposed system achieves these improvements by efficient data storage, preprocessing, and with powerful query features. Negations in texts are recognized and automatically excluded, as well as the context of information is determined and undesired facts are filtered, such as historical events or references to other persons (family history). Context-sensitive queries ensure the semantic integrity of the concepts to be extracted. A new feature not available in other CDWs is to query numerical concepts in texts and even filter them (e.g. BMI > 25). The retrieved values can be extracted and exported for further analysis. This technique is implemented within the efficient architecture of the PaDaWaN CDW and evaluated with comprehensive and complex tests. The results outperform similar approaches reported in the literature. Ad hoc IE determines the results in a few (milli-) seconds and a user friendly GUI enables interactive working, allowing flexible adaptation of the extraction. In addition, the applicability of this system is demonstrated in three real-world applications at the Würzburg University Hospital (UKW). Several drug trend studies are replicated: Findings of five studies on high blood pressure, atrial fibrillation and chronic renal failure can be partially or completely confirmed in the UKW. Another case study evaluates the prevalence of heart failure in inpatient hospitals using an algorithm that extracts information with ad hoc IE from discharge letters and echocardiogram report (e.g. LVEF < 45 ) and other sources of the hospital information system. This study reveals that the use of ICD codes leads to a significant underestimation (31%) of the true prevalence of heart failure. The third case study evaluates the consistency of diagnoses by comparing structured ICD-10-coded diagnoses with the diagnoses described in the diagnostic section of the discharge letter. These diagnoses are extracted from texts with ad hoc IE, using synonyms generated with a novel method. The developed approach can extract diagnoses from the discharge letter with a high accuracy and furthermore it can prove the degree of consistency between the coded and reported diagnoses. / Die Bedeutung von Clinical Data Warehouses (CDW) hat in den letzten Jahren stark zugenommen, da sie viele Anwendungen wie klinische Studien, Data Mining und Entscheidungsfindung unterstützen oder ermöglichen. CDWs integrieren elektronische Patientenakten, die neben strukturierten und kodierten Daten wie ICD-Codes von Diagnosen immer noch sehr vielen Textdaten enthalten, sowie Arztbriefe oder Befundberichte. Bestehende CDWs unterstützen kaum Funktionen, um die in den Texten enthaltenen Informationen zu nutzen. Informationsextraktionsmethoden bieten zwar eine Lösung für dieses Problem, erfordern aber einen hohen und langen Entwicklungsaufwand, der nur von Informatikern durchgeführt werden kann. Außerdem gibt es solche Systeme nur für wenige medizinische Bereiche. Diese Arbeit stellt eine Methode vor, die es Ärzten ermöglicht, Informationen aus Texten selbstständig zu extrahieren. Medizinische Konzepte können ad hoc aus Texten (z. B. Arztbriefen) extrahiert werden, so dass Ärzte unverzüglich und autonom arbeiten können. Das vorgestellte System erreicht diese Verbesserungen durch effiziente Datenspeicherung, Vorverarbeitung und leistungsstarke Abfragefunktionen. Negationen in Texten werden erkannt und automatisch ausgeschlossen, ebenso wird der Kontext von Informationen bestimmt und unerwünschte Fakten gefiltert, wie z. B. historische Ereignisse oder ein Bezug zu anderen Personen (Familiengeschichte). Kontextsensitive Abfragen gewährleisten die semantische Integrität der zu extrahierenden Konzepte. Eine neue Funktion, die in anderen CDWs nicht verfügbar ist, ist die Abfrage numerischer Konzepte in Texten und sogar deren Filterung (z. B. BMI > 25). Die abgerufenen Werte können extrahiert und zur weiteren Analyse exportiert werden. Diese Technik wird innerhalb der effizienten Architektur des PaDaWaN-CDW implementiert und mit umfangreichen und aufwendigen Tests evaluiert. Die Ergebnisse übertreffen ähnliche Ansätze, die in der Literatur beschrieben werden. Ad hoc IE ermittelt die Ergebnisse in wenigen (Milli-)Sekunden und die benutzerfreundliche Oberfläche ermöglicht interaktives Arbeiten und eine flexible Anpassung der Extraktion. Darüber hinaus wird die Anwendbarkeit dieses Systems in drei realen Anwendungen am Universitätsklinikum Würzburg (UKW) demonstriert: Mehrere Medikationstrendstudien werden repliziert: Die Ergebnisse aus fünf Studien zu Bluthochdruck, Vorhofflimmern und chronischem Nierenversagen können in dem UKW teilweise oder vollständig bestätigt werden. Eine weitere Fallstudie bewertet die Prävalenz von Herzinsuffizienz in stationären Patienten in Krankenhäusern mit einem Algorithmus, der Informationen mit Ad-hoc-IE aus Arztbriefen, Echokardiogrammbericht und aus anderen Quellen des Krankenhausinformationssystems extrahiert (z. B. LVEF < 45). Diese Studie zeigt, dass die Verwendung von ICD-Codes zu einer signifikanten Unterschätzung (31%) der tatsächlichen Prävalenz von Herzinsuffizienz führt. Die dritte Fallstudie bewertet die Konsistenz von Diagnosen, indem sie strukturierte ICD-10-codierte Diagnosen mit den Diagnosen, die im Diagnoseabschnitt des Arztbriefes beschriebenen, vergleicht. Diese Diagnosen werden mit Ad-hoc-IE aus den Texten gewonnen, dabei werden Synonyme verwendet, die mit einer neuartigen Methode generiert werden. Der verwendete Ansatz kann Diagnosen mit hoher Genauigkeit aus Arztbriefen extrahieren und darüber hinaus den Grad der Übereinstimmung zwischen den kodierten und beschriebenen Diagnosen bestimmen.

The primary objective of this study was to quantitatively analyze compressive static stress distributions across pallet deck surfaces supporting flexible and rigid packaging in simulated warehouse storage systems. Three different densities of polyolefin foams (2, 4, and 6 lb/ft3, pcf) simulated a variety of flexible and rigid packaging with a range of stiffness properties. A layer of single wall C-flute corrugated fiberboard acted as a sensing medium and also simulated the bottom of a corrugated box. Pressure sensitive films were used to detect compressive static stresses at the interface between the polyolefin foams and the pallet deckboard. Image analysis computer software program was developed to quantitatively characterize stress distributions left on pressure sensitive film. 280 lbs of compression load were applied to a Plexiglas® pallet section (40 x 3.5 inches, L x W) with ¾ inch deck thickness, as well as to a steel pallet section (40 x 3.5 inches, L x W) with ½ inch deck thickness. In both cases, the pallet sections were used in a simulated pallet storage rack. 700 lbs of compression load were applied to the same steel pallet section that was used in the racking simulation and the Plexiglas® pallet sections (40 x 3.5 inches, L x W) with ½ and ¾ inch deck thicknesses were used in simulated block (floor) stack storage to measure the stress distributions and deflections of deckboards. Applying the final models of resultant non-uniform stress distributions enabled the development of finite element analysis (FEA) models of pallet deckboard deflections. The predicted FEA models of the deckboard deflections were validated through comparison with experimentally measured deflections in the simulated warehouse storage systems. In the final models, the resultant three foams' stress distributions across pallet deck surfaces in both rack and floor stack storage simulations were non-uniform. The changes in the degree of stress concentrations and maximum stress levels along the deckboards varied, depending on the stiffness of the foams and deckboards and the support conditions in the simulated warehouse storage models. Qualified test indicates that the 2pcf and 4pcf foams represent non-rigid sack products and the 6pcf foam represents rigid packaging and contents. All tests were conducted within a few minutes; hence, all test data were assumed to be initially resulted compressive stresses. The compressive stresses may change over time. The measure of stress concentrations is the stress intensity factor, which is the ratio of initial maximum resultant compressive stress to the applied stress. The initial maximum resultant compressive stresses were adjusted for rate of loading which varied due to the difference in the stiffness of the foams. The table below shows the adjusted initial maximum resultant compressive stress intensity factors. The product of the calculation uniformly distributed compressive stress and the stress intensity factor is the appropriate criteria for designing packaging of product with adequate compressive strength. These factors will be useful when designing pallets, packaging, and unit loads.In simulated block stack storage, the foam stiffness (package and product stiffness) had a more significant effect on the stress distributions and concentrations along the deckboards than did the pallet deck stiffness. As a result, the stiffer foam presented a greater change in stress levels along the deckboard under the compression load. The quantified and evaluated stress concentrations and stress distributions will be useful in understanding the interactions between pallets and packaging, reducing product damage and improving the safety of the work place during the long-term storage of the unit loads. The predicted FEA models will allow the industry to better optimize pallets, packaging, and unit load designs. / Master of Science

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