TY  - THES
A1  - Hauser, Matthias
T1  - Smart Store Applications in Fashion Retail
T1  - IoT-Lösungen für Smart Stores
N2  - Traditional fashion retailers are increasingly hard-pressed to keep up with their digital competitors. In this context, the re-invention of brick-and-mortar stores as smart retail environments is being touted as a crucial step towards regaining a competitive edge. This thesis describes a design-oriented research project that deals with automated product tracking on the sales floor and presents three smart fashion store applications that are tied to such localization information: (i) an electronic article surveillance (EAS) system that distinguishes between theft and non-theft events, (ii) an automated checkout system that detects customers’ purchases when they are leaving the store and associates them with individual shopping baskets to automatically initiate payment processes, and (iii) a smart fitting room that detects the items customers bring into individual cabins and identifies the items they are currently most interested in to offer additional customer services (e.g., product recommendations or omnichannel services). The implementation of such cyberphysical systems in established retail environments is challenging, as architectural constraints, well-established customer processes, and customer expectations regarding privacy and convenience pose challenges to system design. To overcome these challenges, this thesis leverages Radio Frequency Identification (RFID) technology and machine learning techniques to address the different detection tasks. To optimally configure the systems and draw robust conclusions regarding their economic value contribution, beyond technological performance criteria, this thesis furthermore introduces a service operations model that allows mapping the systems’ technical detection characteristics to business relevant metrics such as service quality and profitability. This analytical model reveals that the same system component for the detection of object transitions is well suited for the EAS application but does not have the necessary high detection accuracy to be used as a component of an automated checkout system.
N2  - Das fortschreitende Wachstum des Online-Handels setzt traditionelle Modehändler zunehmend unter Druck. Als entscheidender Schritt zur Rückgewinnung von Kunden wird die Transformation traditioneller Ladengeschäfte hin zu intelligenten Ladenumgebungen gesehen. Die vorliegende gestaltungsorientierte Arbeit beschäftigt sich mit der automatischen Verfolgung von Produkten auf der Verkaufsfläche und stellt drei intelligente Anwendungen vor, die auf derartige Informationen angewiesen sind: (i) ein Diebstahlsicherungssystem, (ii) ein System zur Automatisierung des Kassiervorgangs und (iii) eine intelligente Umkleidekabine. Das erste System erkennt Produkte mit denen Kunden die Verkaufsfläche verlassen; das zweite System ordnet diese zusätzlich den richtigen Warenkörben zu. Das dritte System erkennt die Produkte, die ein Kunde in eine Umkleidekabine bringt und identifiziert, basierend auf der Interaktion des Kunden mit den Produkten, an welchem Produkt er aktuell am meisten Interesse hat. Zu diesem sollen anschließend maßgeschneiderte Dienste angeboten werden (z.B. Produktempfehlungen). Die Einbettung derartiger cyber-physischer Systeme in bestehende Einzelhandelsumgebungen ist aufgrund architektonischer Einschränkungen, etablierten Kundenprozessen und Kundenerwartungen hinsichtlich Datenschutz und Einkaufskomfort mit zahlreichen Herausforderungen verbunden. Zur Lösung der einzelnen Erkennungsaufgaben untersucht die Arbeit den Einsatz von RFID-Technologie und maschinellen Lernverfahren. Um die Systeme zudem optimal zu konfigurieren und belastbare Aussagen über den Wertbeitrag dieser zu treffen, wird zudem ein analytisches Modell vorgestellt, welches es ermöglicht die technischen Erkennungsmerkmale der Systeme auf geschäftsrelevante Kennzahlen wie Servicequalität und Rentabilität abzubilden. Die Bewertung der Systeme mit diesem Modell zeigt, dass die gleiche Systemkomponente zur Erkennung von Objektübergängen als Komponente eines Diebstahlsicherungssystems geeignet ist, jedoch nicht die erforderliche Erkennungsgenauigkeit aufweist, um als Komponente eines Systems zu Automatisierung des Kassiervorgangs verwendet werden zu können.
KW  - Laden
KW  - Internet der Dinge
KW  - Textileinzelhandel
KW  - Automated Checkout
KW  - Smart Fitting Room
KW  - Electronic Article Surveillance
KW  - Maschinelles Lernen
KW  - Operations Management
KW  - Wirtschaftsinformatik
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-193017
ER  - 
TY  - JOUR
A1  - Nemes, Karolina
A1  - Johann, Pascal D.
A1  - Steinbügl, Mona
A1  - Gruhle, Miriam
A1  - Bens, Susanne
A1  - Kachanov, Denis
A1  - Teleshova, Margarita
A1  - Hauser, Peter
A1  - Simon, Thorsten
A1  - Tippelt, Stephan
A1  - Eberl, Wolfgang
A1  - Chada, Martin
A1  - Lopez, Vicente Santa-Maria
A1  - Grigull, Lorenz
A1  - Hernáiz-Driever, Pablo
A1  - Eyrich, Matthias
A1  - Pears, Jane
A1  - Milde, Till
A1  - Reinhard, Harald
A1  - Leipold, Alfred
A1  - van de Wetering, Marianne
A1  - Gil-da-Costa, Maria João
A1  - Ebetsberger-Dachs, Georg
A1  - Kerl, Kornelius
A1  - Lemmer, Andreas
A1  - Boztug, Heidrun
A1  - Furtwängler, Rhoikos
A1  - Kordes, Uwe
A1  - Vokuhl, Christian
A1  - Hasselblatt, Martin
A1  - Bison, Brigitte
A1  - Kröncke, Thomas
A1  - Melchior, Patrick
A1  - Timmermann, Beate
A1  - Gerss, Joachim
A1  - Siebert, Reiner
A1  - Frühwald, Michael C.
T1  - Infants and newborns with atypical teratoid rhabdoid tumors (ATRT) and extracranial malignant rhabdoid tumors (eMRT) in the EU-RHAB registry: a unique and challenging population
JF  - Cancers
N2  - Introduction: Malignant rhabdoid tumors (MRT) predominantly affect infants and young children. Patients below six months of age represent a particularly therapeutically challenging group. Toxicity to developing organ sites limits intensity of treatment. Information on prognostic factors, genetics, toxicity of treatment and long-term outcomes is sparse. Methods: Clinical, genetic, and treatment data of 100 patients (aged below 6 months at diagnosis) from 13 European countries were analyzed (2005–2020). Tumors and matching blood samples were examined for SMARCB1 mutations using FISH, MLPA and Sanger sequencing. DNA methylation subgroups (ATRT-TYR, ATRT-SHH, and ATRT-MYC) were determined using 450 k / 850 k-profiling. Results: A total of 45 patients presented with ATRT, 29 with extracranial, extrarenal (eMRT) and 9 with renal rhabdoid tumors (RTK). Seventeen patients demonstrated synchronous tumors (SYN). Metastases (M+) were present in 27% (26/97) at diagnosis. A germline mutation (GLM) was detected in 55% (47/86). DNA methylation subgrouping was available in 50% (31 / 62) with ATRT or SYN; for eMRT, methylation-based subgrouping was not performed. The 5-year overall (OS) and event free survival (EFS) rates were 23.5 ± 4.6% and 19 ± 4.1%, respectively. Male sex (11 ± 5% vs. 35.8 ± 7.4%), M+ stage (6.1 ± 5.4% vs. 36.2 ± 7.4%), presence of SYN (7.1 ± 6.9% vs. 26.6 ± 5.3%) and GLM (7.7 ± 4.2% vs. 45.7 ± 8.6%) were significant prognostic factors for 5-year OS. Molecular subgrouping and survival analyses confirm a previously described survival advantage for ATRT-TYR. In an adjusted multivariate model, clinical factors that favorably influence the prognosis were female sex, localized stage, absence of a GLM and maintenance therapy. Conclusions: In this cohort of homogenously treated infants with MRT, significant predictors of outcome were sex, M-stage, GLM and maintenance therapy. We confirm the need to stratify which patient groups benefit from multimodal treatment, and which need novel therapeutic strategies. Biomarker-driven tailored trials may be a key option.
KW  - atypical teratoid rhabdoid tumors
KW  - extracranial malignant rhabdoid tumor
KW  - RTPS1
KW  - RTPS2
KW  - germline mutation
KW  - EU-RHAB registry
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-270730
SN  - 2072-6694
VL  - 14
IS  - 9
ER  -