Managing Rentals with Usage-Based Loss

Motivated by new and innovative rental business models, this paper develops a novel discrete-time model of a rental operation with random loss of inventory due to customer use. The inventory level is chosen before the start of a finite rental season, and customers not immediately served are lost. Our analysis framework uses stochastic comparisons of sample paths to derive structural results that hold under good generality for demands, rental durations, and rental unit lifetimes. Considering different \recirculation" rules | i.e., which rental unit to choose to meet each demand | we prove the concavity of the expected profit function and identify the optimal recirculation rule. A numerical study clarifies when considering rental unit loss and recirculation rules matters most for the inventory decision: Accounting for rental unit loss can increase the expected profit by 7% for a single season and becomes even more important as the time horizon lengthens. We also observe that the optimal inventory level in response to increasing loss probability is non-monotonic. Finally, we show that choosing the optimal recirculation rule over another simple policy allows more rental units to be profitably added, and the profit-maximizing service level increases by up to 6 percentage points.

The Views of Young People about an Intervention Programme Designed to Support Them with Exam Related Anxiety and Stress

Both preparing for and sitting exams can be extremely stressful for children and young people. Whilst the research within the area of exam anxiety acknowledges the detrimental impact that it can have on individuals, much of the research has been completed with university students. Limited research has been carried out with children and young people. In addition to this, there is also little research that has been completed in order to understand which interventions are helpful in reducing exam anxiety in young people. The systematic literature review highlighted that much of the research employed quantitative techniques. This means young people’s views and experiences of exam anxiety has largely been unexplored. The EPS service in which the TEP currently works is a partially traded service. Some of the schools that had bought a service level agreement requested support for certain pupils that were experiencing exam anxiety. The EPS service therefore delivered an intervention called ‘beating exam anxiety together’ (further details of this intervention can be found within chapter 1). Seven semi-structured interviews were carried out with GCSE students who took part in the ‘beating exam anxiety together’ intervention. The purpose of the interviews was to understand more about young people’s views on exam anxiety, and also their experiences of the intervention in which they took part. The research highlighted the possible detrimental impact of exam anxiety on young people in terms of their mental health, and also how able they feel to prepare for their exams. The results of the research interestingly showed that young people experience high levels of pressure from school teachers and also their parents. Furthermore, students reported that they didn't know how to revise. The results revealed that young people feel that the way in which exams are spoken about in schools is largely negative. As a result of this, the researcher suggested that it may be helpful to shift the narrative around the way in which exams are currently spoken about. In addition to this, the results indicate that the intervention was largely helpful in improving young people’s well being and their ability to be able to manage exam anxiety.

Pico Cell Integration to Operator’s Incident Management Process

Mobile network coverage is traditionally provided by outdoor macro base stations, which have a long range and serve several of customers. Due to modern passive houses and tightening construction legislation, mobile network service is deteriorated in many indoor locations. Typically, solutions for indoor coverage problem are expensive and demand actions from the mobile operator. Due to these, superior solutions are constantly researched. The solution presented in this thesis is based on Small Cell technology. Small Cells are low power access nodes designed to provide voice and data services.. This thesis concentrates on a specific Small Cell solution, which is called a Pico Cell. The problem regarding Pico Cells and Small Cells in general is that they are a new technological solution for the mobile operator, and the possible problem sources and incidents are not properly mapped. The purpose of this thesis is to figure out the possible problems in the Pico Cell deployment and how they could be solved within the operator’s incident management process. The research in the thesis is carried out with a literature research and a case study. The possible problems are investigated through lab testing. Pico Cell automated deployment process was tested in the lab environment and its proper functionality is confirmed. The related network elements were also tested and examined, and the emerged problems are resolvable. Operators existing incident management process can be used for Pico Cell troubleshooting with minor updates. Certain pre-requirements have to be met before Pico Cell deployment can be considered. The main contribution of this thesis is the Pico Cell integrated incident management process. The presented solution works in theory and solves the problems found during the lab testing. The limitations in the customer service level were solved by adding the necessary tools and by designing a working question pattern. Process structures for automated network discovery and pico specific radio parameter planning were also added for the mobile network management layer..

Stratégie de gestion de stocks dans un réseau collaboratif

Le contenu de ce mémoire traite du problème de gestion des stocks dans un réseau constitué de plusieurs sites de stockage de produits. Chaque site i gère son stock de manière autonome pour satisfaire une demande déterministe sur un horizon donné. Un stock maximum Si est tenu à chaque site i. Lorsque le point de commande si est atteint, une commande de taille Qi est placée au centre de distribution qui alimente tous les sites. Qi est telle que Qi = Si - si. La quantité Qi est livrée dans un délai connu Li. Si, à un instant donné, la demande Di au site i excède la quantité en main, le site i fait appel à un ou à plusieurs autres sites du réseau pour le transfert d’une quantité Xji (j = 1, 2, …, n). Ce transfert s’effectue selon un certain nombre de règles de jeu qui tiennent compte des coûts de transfert, de stockage, d’approvisionnement et de pénurie. Ce mémoire examine six principales contributions publiées dans la littérature pour évaluer les contributions d’un modèle collaboratif aux performances, en termes de coûts et de niveau de service, de chaque site du réseau. Cette investigation se limite à une configuration du réseau à deux échelons : un entrepôt central et n (n > 2) sites de stockage. Le cas des pièces de rechange, caractérisé par une demande aléatoire, est examiné dans trois chapitres de ce mémoire. Une autre application de ces stratégies à la collaboration entre n centres hospitaliers (n > 2) est également examinée dans ce travail.

Carrier Selection for Multi-commodity Flow Optimization in Cooperative Environments

Part 18: Optimization in Collaborative Networks

Improving Resource Management in Virtualized Data Centers using Application Performance Models

The rapid growth of virtualized data centers and cloud hosting services is making the management of physical resources such as CPU, memory, and I/O bandwidth in data center servers increasingly important. Server management now involves dealing with multiple dissimilar applications with varying Service-Level-Agreements (SLAs) and multiple resource dimensions. The multiplicity and diversity of resources and applications are rendering administrative tasks more complex and challenging. This thesis aimed to develop a framework and techniques that would help substantially reduce data center management complexity. We specifically addressed two crucial data center operations. First, we precisely estimated capacity requirements of client virtual machines (VMs) while renting server space in cloud environment. Second, we proposed a systematic process to efficiently allocate physical resources to hosted VMs in a data center. To realize these dual objectives, accurately capturing the effects of resource allocations on application performance is vital. The benefits of accurate application performance modeling are multifold. Cloud users can size their VMs appropriately and pay only for the resources that they need; service providers can also offer a new charging model based on the VMs performance instead of their configured sizes. As a result, clients will pay exactly for the performance they are actually experiencing; on the other hand, administrators will be able to maximize their total revenue by utilizing application performance models and SLAs. This thesis made the following contributions. First, we identified resource control parameters crucial for distributing physical resources and characterizing contention for virtualized applications in a shared hosting environment. Second, we explored several modeling techniques and confirmed the suitability of two machine learning tools, Artificial Neural Network and Support Vector Machine, to accurately model the performance of virtualized applications. Moreover, we suggested and evaluated modeling optimizations necessary to improve prediction accuracy when using these modeling tools. Third, we presented an approach to optimal VM sizing by employing the performance models we created. Finally, we proposed a revenue-driven resource allocation algorithm which maximizes the SLA-generated revenue for a data center.

Asociaciones público privadas para la infraestructura social en salud: hacia la identificación de pautas para la definición de un modelo colombiano

Las asociaciones público privadas "APP" han sido utilizadas para distribuir riesgos y fomentar el desarrollo de los países a través de la provisión de infraestructura. Así, se implementan para proveer bienes y servicios públicos tanto en los sectores de infraestructura productiva (carreteras, puertos, aeropuertos, trenes), como en el sector de infraestructura social (escuelas, universidades, hospitales, edificaciones públicas, etc.). En Colombia, ante la escasez de recursos públicos y la necesidad de formular posiibles soluciones a la crisis del sector salud, surge como una posible solución el modelo de APP consagrado en la Ley 1508 de 2008.

Radio frequency communication and fault detection for railway signalling

The continuous and swift progression of both wireless and wired communication technologies in today's world owes its success to the foundational systems established earlier. These systems serve as the building blocks that enable the enhancement of services to cater to evolving requirements. Studying the vulnerabilities of previously designed systems and their current usage leads to the development of new communication technologies replacing the old ones such as GSM-R in the railway field. The current industrial research has a specific focus on finding an appropriate telecommunication solution for railway communications that will replace the GSM-R standard which will be switched off in the next years. Various standardization organizations are currently exploring and designing a radiofrequency technology based standard solution to serve railway communications in the form of FRMCS (Future Railway Mobile Communication System) to substitute the current GSM-R. Bearing on this topic, the primary strategic objective of the research is to assess the feasibility to leverage on the current public network technologies such as LTE to cater to mission and safety critical communication for low density lines. The research aims to identify the constraints, define a service level agreement with telecom operators, and establish the necessary implementations to make the system as reliable as possible over an open and public network, while considering safety and cybersecurity aspects. The LTE infrastructure would be utilized to transmit the vital data for the communication of a railway system and to gather and transmit all the field measurements to the control room for maintenance purposes. Given the significance of maintenance activities in the railway sector, the ongoing research includes the implementation of a machine learning algorithm to detect railway equipment faults, reducing time and human analysis errors due to the large volume of measurements from the field.

Service quality of frontline employees:a profile deviation analysis

Using a configuration theory approach, this paper conducts a comparative study between frontline employees in phone and face-to-face service encounters for a retail bank. The study compares the top performers in service quality in relation to three components of organizational commitment and their demographics by applying a profile deviation analysis. The results show that the profile deviation for face-to-face employees is significantly negative, while for call center employees nonsignificant. Although the study finds no significant differences in the three components of commitment, significant differences exist in the total experience and age of the best performers. Also, affective commitment dominates the profile of high performers, while poor service providers seem to exhibit a higher level of continuance commitment. This study demonstrates the utility of profile deviation approaches in designing internal marketing strategies.

Characterization of cleaners accidents in the Portuguese service sector

This paper characterizes work accidents at Portuguese industrial cleaning companies, operating in the service sector, through the application of ESAW methodology. Data was codified based on the analysis of 748 accident claims to insurance companies (number of days lost 1 working day) in 3 large industrial cleaning companies for the period 2001-2003. Slipping and falling in the same level was the main deviation from the normal working process in the moment of the accident (in 25% of the accidents); uncoordinated movements was the second cause of accidents (14%); falls of persons to a lower level was the third cause of accidents (~10%), including falls from stairs (~7%) and falls from ladders and mobile ladders (~2%); globally, body movement under or with physical stress, including lifting, carrying, putting down, bending down, twisting, turning, trading badly, twisting leg or ankle and slipping without falling, were the cause in 17% of the accidents. Lower limbs were injured in ~25% of the accidents, hand and fingers in ~14%, the eye in ~4% and the back in ~9% of the accidents. An incidence rate of 3,580 accidents/100,000 employees was found to the sector (2003 data).

Weigh2go: A Peripatetic Level 1 Weight Management Service

The aim of this intervention is to increase the accessibility of appropriate evidence based support to people who are clinically obese to enable them to make lifestyle changes that will lead to weight loss. Objectives1. Identify patients whose lifestyle put them at risk of obesity and poor health outcomes and provide them with advice and support along with signposting to specific services and activities. 2. Identify patients who are overweight or obese and offer them a structured multi-component programme of support for them to loose weight. 3. Through the use of software collect data to monitor outcomes at individual and practice levels.

A Public Service Gap: Capturing Contexts in a Comparative Approach of Street-Level Bureaucracy

Studies of street-level bureaucracy have introduced a variety of conceptualizations, research approaches, and causal inferences. While this research has produced several insights, the impact of variety in the institutional context has not been adequately explored. We present the construct of a public service gap as a way to incorporate contextual factors and facilitate comparison. This construct addresses the differences between what is asked of and what is offered to public servants working at the street level. The heuristic enables the systematic capture of macro- and meso-contextual influences, thus enhancing comparative research on street-level bureaucracy.

Deviation from the sech2 superradiant emission law in a two-level atomic system

The atomic superradiant emission is treated in the single-particle mean-field approximation. A single-particle Hamiltonian, which represents a dressed two-level atom in a radiation field, can be obtained and it is verified that it describes the transient regime of the emission process. While the line-shape emission for a bare atom follows the sech2 law, for the dressed atom the line shape deviates appreciably from this law and it is verified that the deviation depends crucially on the ratio of the dynamic frequency shift to the transition frequency. This kind of deviation is observed in experimental results. © 1990 The American Physical Society.

Estimating and quantifying uncertainties on level sets using the Vorob'ev expectation and deviation with Gaussian process models

Several methods based on Kriging have recently been proposed for calculating a probability of failure involving costly-to-evaluate functions. A closely related problem is to estimate the set of inputs leading to a response exceeding a given threshold. Now, estimating such a level set—and not solely its volume—and quantifying uncertainties on it are not straightforward. Here we use notions from random set theory to obtain an estimate of the level set, together with a quantification of estimation uncertainty. We give explicit formulae in the Gaussian process set-up and provide a consistency result. We then illustrate how space-filling versus adaptive design strategies may sequentially reduce level set estimation uncertainty.