Reactive power support pricing of distributed generators with primary energy source uncertainty

In this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing based on the Loss of Opportunity Costs (LOC) calculation. An algorithm is proposed to reduce the uncertainty present in these generators using Multiobjective Power Flows (MOPFs) implemented in multiple probabilistic scenarios through Monte Carlo Simulations (MCS), and modeling the time series associated with the generation of active power from DGs through Markov Chains (MC). © 2011 IEEE.

Edellytykset asiakaspalvelun muuttamiseksi maksulliseksi asiantuntijatyöksi

Tämän tutkimuksen tavoite on kuvata tietoliikenneoperaattorin yritysliiketoiminnan asiakaspalvelun maksullisuuden nykytilaa sekä kartoittaa edellytyksiä asiakaspalvelun muuttamiseksi maksulliseksi asiantuntijatyöksi. Tutkimuksessa tuodaan esiin kirjallisuudessa esiintyvää, aihetta taustoittavaa ja määrittelevää teoriaa palveluihin ja palveluliiketoimintaan liittyen. Sen pohjalta kartoitettiin asiakaspalvelun maksullisuuden nykytilaa yrityksen sisäisen materiaalin ja haastattelujen kautta, tarkastellen asiaa niin yrityksen sisäisen näkökulman kuin myös asiakas- ja kilpailijanäkökulman kautta. Tutkimuksen lopputuloksena voidaan todeta, että nykymuodossa asiakaspalvelu on pääosin ei-maksullisen palvelu, jota ei nykytilanteessa mielletä tai käsitellä samankaltaisena tuotteistettuna palveluna kuin yrityksen ns. ydinpalveluita. Edellytykset maksullisuuden toteutumiselle ovat asiakaspalvelun tuotteistaminen asiakkaille arvoa tuottavaksi asiantuntijatyöksi, tavoitteellinen hinnoittelu, soveltuvat tietojärjestelmät sekä maksullisuuteen tähtäävän muutosprosessin asiakaslähtöinen suunnittelu ja toteutus.

Adoção de novos modelos de precificação em telecomunicações : estudo exploratório sobre os direcionadores e barreiras no mercado brasileiro

O mercado brasileiro de Telecomunicações e Tecnologia da Informação (TIC) tem importância significativa para o desenvolvimento do Brasil, haja vista a evolução do mercado de telefonia móvel, que cresceu 600% nos últimos dez anos. A indústria de telecomunicações, que representa 4,7 % do PIB brasileiro (TELEBRASIL, 2013), passou a ter uma nova dinâmica a partir da elaboração da Lei Geral de Telecomunicações em 1997 e, posteriormente, com a privatização do setor. Esta rápida transformação da cadeia de valor do setor foi também impulsionada pela evolução das tecnologias e de novas arquiteturas de redes. Ademais, a utilização de tecnologias digitais, como aplicativos/APPs e a própria internet, tornou a cadeia de telecomunicações mais complexa, possibilitando o surgimento de novos atores e o desenvolvimento de novos serviços, modelos de negócios e precificação (SCHAPIRO e VARIAN, 2003). Este estudo tem como objetivo analisar os direcionadores e barreiras na adoção de novos modelos de precificação de serviços no mercado brasileiro de telecomunicações, considerando a transformação e evolução do setor. O estudo foi elaborado por meio de uma estratégia de pesquisa qualitativo-exploratória e construtivista baseando-se na abordagem Multinível (POZZEBON e DINIZ, 2012), que trabalha o contexto, o processo e as interações entre os grupos sociais relevantes. A partir desta análise, foi possível compreender os critérios, direcionadores e barreiras no processo de adoção de novos modelos de precificação, as quais destacam-se as demandas dos usuários, a alta concorrência e a necessidade de aumento do retorno do investimento como os direcionadores mais relevantes, enquanto que a qualidade das redes, a falta de sistemas, a situação financeira das operadoras, a complexidade da regulamentação e o surgimento de grupos sociais distintos dentro da empresa são apontados como as barreiras mais críticas neste processo. Dentro deste contexto, os modelos de precificação emergentes abrangem o empacotamento de serviços, ofertas por tempo limitado, modelos de patrocínio/gratuidade, em conjunto com exploração de novas áreas de negócios. Este estudo proporciona uma contribuição prática e acadêmica na medida em que permite uma melhor compreensão do dinamismo do mercado e suporte para as áreas de marketing estratégico e tático das operadoras, bem como na formulação de políticas e regulamentação do setor.

Semantic scheduling of virtualized infrastructures for scientific workflows

Virtualized Infrastructures are a promising way for providing flexible and dynamic computing solutions for resourceconsuming tasks. Scientific Workflows are one of these kind of tasks, as they need a large amount of computational resources during certain periods of time. To provide the best infrastructure configuration for a workflow it is necessary to explore as many providers as possible taking into account different criteria like Quality of Service, pricing, response time, network latency, etc. Moreover, each one of these new resources must be tuned to provide the tools and dependencies required by each of the steps of the workflow. Working with different infrastructure providers, either public or private using their own concepts and terms, and with a set of heterogeneous applications requires a framework for integrating all the information about these elements. This work proposes semantic technologies for describing and integrating all the information about the different components of the overall system and a set of policies created by the user. Based on this information a scheduling process will be performed to generate an infrastructure configuration defining the set of virtual machines that must be run and the tools that must be deployed on them.

Static Pricing for a Network Service Provider

This article studies the static pricing problem of a network service provider who has a fixed capacity and faces different types of customers (classes). Each type of customers can have its own capacity constraint but it is assumed that all classes have the same resource requirement. The provider must decide a static price for each class. The customer types are characterized by their arrival process, with a price-dependant arrival rate, and the random time they remain in the system. Many real-life situations could fit in this framework, for example an Internet provider or a call center, but originally this problem was thought for a company that sells phone-cards and needs to set the price-per-minute for each destination. Our goal is to characterize the optimal static prices in order to maximize the provider's revenue. We note that the model here presented, with some slight modifications and additional assumptions can be used in those cases when the objective is to maximize social welfare.

The pricing of local telephone service /

Mode of access: Internet.

Global Pricing Strategy for a Quick-Service Restaurant Chain

The purpose of this paper is to compare prices for a popular quick-service restaurant chain (i.e. McDonalds’) across countries throughout the world using the “Big Mac Index” published by “The Economist.” The index was originally developed to measure the valuation of international currencies against the U.S. dollar. The analysis in this study examines the relationship between the price of a Big Mac and other variables such as the cost of beef, price elasticity, and income. Finally, these relationships are reviewed to draw inferences concerning the use of demand, costs, and competition in setting prices.

Essays in Empirical Operations Management: Bayesian Learning of Service Quality and Structural Estimation of Complementary Product Pricing and Inventory Management

This dissertation contributes to the rapidly growing empirical research area in the field of operations management. It contains two essays, tackling two different sets of operations management questions which are motivated by and built on field data sets from two very different industries --- air cargo logistics and retailing.

The first essay, based on the data set obtained from a world leading third-party logistics company, develops a novel and general Bayesian hierarchical learning framework for estimating customers' spillover learning, that is, customers' learning about the quality of a service (or product) from their previous experiences with similar yet not identical services. We then apply our model to the data set to study how customers' experiences from shipping on a particular route affect their future decisions about shipping not only on that route, but also on other routes serviced by the same logistics company. We find that customers indeed borrow experiences from similar but different services to update their quality beliefs that determine future purchase decisions. Also, service quality beliefs have a significant impact on their future purchasing decisions. Moreover, customers are risk averse; they are averse to not only experience variability but also belief uncertainty (i.e., customer's uncertainty about their beliefs). Finally, belief uncertainty affects customers' utilities more compared to experience variability.

The second essay is based on a data set obtained from a large Chinese supermarket chain, which contains sales as well as both wholesale and retail prices of un-packaged perishable vegetables. Recognizing the special characteristics of this particularly product category, we develop a structural estimation model in a discrete-continuous choice model framework. Building on this framework, we then study an optimization model for joint pricing and inventory management strategies of multiple products, which aims at improving the company's profit from direct sales and at the same time reducing food waste and thus improving social welfare.

Collectively, the studies in this dissertation provide useful modeling ideas, decision tools, insights, and guidance for firms to utilize vast sales and operations data to devise more effective business strategies.

Hedonic analysis of cell phones sold with post-paid service plans in Brazil

The aim of this paper is to analyze the determining factors for the pricing of handsets sold with service plans, using the hedonic price method. This was undertaken by building a database comprising 48 handset models, under nine different service plans, over a period of 53 weeks in 2008, and resulted in 27 different attributes and a total number of nearly 300,000 data registers. The results suggest that the value of monthly subscriptions and calling minutes are important to explain the prices of handsets. Furthermore, both the physical volume and number of megapixels of a camera had an effect on the prices. The bigger the handset, the cheaper it becomes, and the more megapixels a camera phone has, the more expensive it becomes. Additionally, it was found that in 2008 Brazilian phone companies were subsidizing enabled data connection handsets.

Partial utility-driven scheduling for flexible SLA and pricing arbitration in clouds

Cloud SLAs compensate customers with credits when average availability drops below certain levels. This is too inflexible because consumers lose non-measurable amounts of performance being only compensated later, in next charging cycles. We propose to schedule virtual machines (VMs), driven by range-based non-linear reductions of utility, different for classes of users and across different ranges of resource allocations: partial utility. This customer-defined metric, allows providers transferring resources between VMs in meaningful and economically efficient ways. We define a comprehensive cost model incorporating partial utility given by clients to a certain level of degradation, when VMs are allocated in overcommitted environments (Public, Private, Community Clouds). CloudSim was extended to support our scheduling model. Several simulation scenarios with synthetic and real workloads are presented, using datacenters with different dimensions regarding the number of servers and computational capacity. We show the partial utility-driven driven scheduling allows more VMs to be allocated. It brings benefits to providers, regarding revenue and resource utilization, allowing for more revenue per resource allocated and scaling well with the size of datacenters when comparing with an utility-oblivious redistribution of resources. Regarding clients, their workloads’ execution time is also improved, by incorporating an SLA-based redistribution of their VM’s computational power.

Pricing strategies of the supermarket sector

The food retail industry is a very competitive market. Supermarkets use a combination of price, quality of products and service to lure consumers and increase their profit. This work project draws upon both empirical and theoretical literatures to understand the different pricing strategies that the supermarket sector uses. Everyday Low Price, Promotional, Zone Pricing and Loyalty Programs are the most common pricing strategies in this industry. By using data from the Portuguese supermarket leader – Pingo Doce - , this work project conclude that Pingo Doce uses a combination of Loyalty Program and Promotion to attain the desired outcomes

Report of the Independent Body on Pharmacy Contract Pricing

Report of the Independent Body on Pharmacy Contract Pricing On 18 February 2008 the Minister for Health and Children announced the appointment of an Independent Body to recommend a new, interim community pharmacy dispensing fee for the General Medical Service (GMS), Drugs Payment Scheme (DPS) and other community drug schemes.The Terms of Reference for the Independent Body on Pharmacy Contract Pricing are as follows: â?oTo advise the Minister for Health and Children on the appropriate level of dispensing fee to be paid to community pharmacists for existing services provided under the GMS and community drug schemes having regard to: Click here to download PDF: 110kb

The impact of generic reference pricing interventions in the statin market

The objective of this study was to evaluate the intended and unintended impact on pharmaceutical use and sales of three public financing reforms applied to the prescription of statins: a Spanish generic reference pricing (RP) system for lovastatin and simvastatin, and two competing policies introduced by the Andalusian Public Health Service (APHS) for all statins, first a maximum consumer price (MCP) and then a so called quality prescribing incentive for general practitioners (MCP plus PI).This study is designed as an observational, retrospective, interrupted time series analysis with comparison series (APHS and the rest of Spain) of 46 monthly drug use and sales ratios from January 2001 to October 2004 for each active ingredient in the group of statins.RP has been effective at reducing the volume of sales growth of the off-patent statins, yet its overall impact on sales of all statins has been relatively modest. The quantity and volume of sales impact heavily depends on regulatory RP details such as when the system is introduced, how often it is updated, and how the reference price is calculated.

Marketing strategy for a GSM phone service. Target market, St. Petersburg Russia. Case MegaFon

Tämä pro gradu tutkielma esittää markkinointistrategian digitaaliselle matkapuhelinpalvelulle penetroiduttaessa uusille markkinoille. MegaFon on uuden sukupolven mobiilioperaattori, jolla on lukuisia teknlogiaan perustuvia etuisuuksia puolellaan. Markkinointistrategian perusteena asiakkaat on määritelty, paikallistettu ja analysoitu. Tämän lisäksi, palvelun positiointi, hinnoittelu- ja jakelukanavavaihtoehdot on myöskin analysoitu ja määritelty. Menestystekijöihin liittyvät kysymykset, myynnin jälkeiseen toimintaan liittyvät asiat on myös tutkittu. Teoreettiset aspektit liittyvät pääsääntöisesti uuden palvelun ja palveluiden lanseeramiseen (palvelu, palvelun elinkaariajattelu), niiden markkinointistrategioihin lanseerausvaiheessa ja markkinointikanavien päättämiseen. Tutkimuksessa on selitetty MegaFonin ennustamis- ja lähestymistavat, joilla on valotettu todellista markkinatilannetta. Tämän tutkielman informaatio on kerätty useista lähteistä, kuten: yleistä aiheeseen liittyvää kirjallisuutta, sisäisiä raportteja ja Megafonin materiaalia, yhteistyökumppaneiden aineistoa, Internettia ja muuta saatavilla olevaa materiaalia. Tuloksena on määritelty päätöksenteon avainkohdat ja osaltaan perinteiset lähestymistavat on kyseenalaistettu.