831 resultados para Customer


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Apteekkien yksilöllinen tupakoinninvieroituspalvelu on tupakoinnin lopettamiseen motivoituneille asiakkaille tarkoitettu maksullinen erikoispalvelu, joka sisältää 4–6 tapaamista vieroitusohjaajana toimivan farmaseutin tai proviisorin kanssa. Palvelu sisältää asiakkaalle räätälöityä neuvontaa, henkilökohtaisen vieroitussuunnitelman sekä seurantajakson. Apteekkien yksilöllinen tupakoinninvieroituspalvelu perustuu Isossa-Britanniassa kehitettyyn palvelumalliin, ja sitä on tarjottu suomalaisissa apteekeissa vuodesta 2006. Tämä pro gradu -tutkielma käsittelee apteekkien yksilöllisen tupakoinninvieroituspalvelun pilottitutkimusta, joka toteutettiin Suomen Apteekkariliiton ja Helsingin yliopiston farmasian tiedekunnan sosiaalifarmasian osaston yhteistyönä ja se kuului osana Hengitysliitto Heli ry:n koordinoimaa tupakasta vieroituksen hankekokonaisuutta. Tässä pro gradu -tutkielmassa tarkastellaan pilottitutkimuksessa saadun asiakasaineiston avulla apteekkien yksilöllisen tupakoinninvieroituspalvelumallin toimivuutta, asiakkaiden kokemuksia palvelusta, asiakkaiden onnistumista tupaakoinnin lopettamisessa sekä asiakkaiden kyvykkyyden tunteen kehittymistä palvelun aikana. Tässä interventiotutkimuksessa oli mukana 14 apteekkia, jotka rekrytoivat yhteensä 36 palveluasiakasta. Ennen asiakkaiden rekrytointia apteekit perehdytettiin palvelun tarjoamiseen. Apteekit tiedottivat pilottitutkimuksesta paikallisen terveydenhuollon lääkäreitä ja muita terveydenhuollon ammattilaisia, jotka voivat ohjata asiakkaita palveluun. Sosiaali- ja terveysministeriön pilottitutkimukselle myöntämä rahoitus mahdollisti asiantuntijapalkkion maksamisen apteekeille ja palvelun tarjoamisen asiakkaille ilmaiseksi tai pientä omakustannusosuutta vastaan. Asiakkaiden tupakoimattomana pysymistä sekä kokemuksia tupakoinninvieroituspalvelusta kartoitettiin kyselylomakkeilla, jotka asiakkaat saivat täytettäväkseen palvelun alussa sekä noin 3 kuukauden kohdalla palvelun alkamisesta. Asiakkaiden taustatiedot kerättiin ensimmäisen tapaamisen yhteydessä erillisille taustatietolomakkeille ja palvelun aikana tehtyjä huomioita niille tarkoitetuille kaavakkeille. Ensimmäisen kyselylomakkeen palauttaneista 28 henkilöstä 20 ja toisen kyselylomakkeen palauttaneista 17 henkilöstä 13 oli pysynyt tupakoimattomana (55,6 % ja 36,1 % kaikista asiakkaista). Kaikki tupakoinnin lopettaneet käyttivät jotakin tupakasta vieroituslääkettä. Tupakoinnin lopettaneilla asiakkailla kyvykkyyden tunne oli keskimääräistä parempi sekä palvelun alussa että koko palvelun ajan. Asiakkaat pitivät palvelua tarpeellisena ja apteekin vieroitusohjaajalta saatua tukea tärkeänä. Asiakkaat kokivat myös palvelun saamisen apteekista tärkeäksi. Noin 32 % ensimmäiseen kyselyyn vastanneista ja 41 % toiseen kyselyyn vastanneista oli valmis maksamaan palvelusta. Heidän ilmoittamansa maksuvalmius oli keskimäärin noin 45 euroa (10–100 euroa). Muusta terveydenhuollosta lähetettiin palveluun vain vähän tai ei lainkaan asiakkaita. Tästä syystä apteekit rekrytoivat asiakkaita myös ilman kontaktia muuhun terveydenhuoltoon. Palvelun 36 asiakkaasta noin 36 % oli pysynyt tupakoimattomana 3 kuukauden kohdalla. Verrokkiryhmä jouduttiin jättämään tutkimuksesta pois verrokkihenkilöiden rekrytoinnin epäonnistuttua. Tulos on kuitenkin vertailukelpoinen kansainvälisiin tutkimuksiin, joissa on saatu vastaavanlaisia tuloksia. Apteekkien yksilöllisestä tupakoinninvieroituspalvelusta saattaa olla hyötyä tupakoinnin lopettamisessa siihen motivoituneille henkilöille ja erityisesti henkilöille, jotka käyttävät lisäksi tupakasta vieroituslääkettä. Asiakkaat kokivat palvelun tärkeäksi ja tarpeelliseksi, mutta heikko maksuvalmius asettaa haasteita palvelun tarjoamiselle apteekeissa. Yhteistyömallia muun terveydenhuollon kanssa tulisi kehittää.

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Researchers and developers in academia and industry would benefit from a facility that enables them to easily locate, licence and use the kind of empirical data they need for testing and refining their hypotheses and to deposit and disseminate their data e.g. to support replication and validation of reported scientific experiments. To answer these needs initially in Finland, there is an ongoing project at University of Helsinki and its collaborators to create a user-friendly web service for researchers and developers in Finland and other countries. In our talk, we describe ongoing work to create a palette of extensive but easily available Finnish language resources and technologies for the research community, including lexical resources, wordnets, morphologically tagged corpora, dependency syntactic treebanks and parsebanks, open-source finite state toolkits and libraries and language models to support text analysis and processing at customer site. Also first publicly available results are presented.

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Owing to the increased customer demands for make-to-order products and smaller product life-cycles, today assembly lines are designed to ensure a quick switch-over from one product model to another for companies' survival in market place. The complexity associated with the decisions pertaining to the type of training and number of workers and their exposition to the different tasks especially in the current era of customized production is a serious problem that the managers and the HRD gurus are facing in industry. This paper aims to determine the amount of cross-training and dynamic deployment policy caused by workforce flexibility for a make-to-order assembly. The aforementioned issues have been dealt with by adopting the concept of evolutionary fuzzy system because of the linguistic nature of the attributes associated with product variety and task complexity. A fuzzy system-based methodology is proposed to determine the amount of cross-training and dynamic deployment policy. The proposed methodology is tested on 10 sample products of varying complexities and the results obtained are in line with the conclusions drawn by previous researchers.

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Bid optimization is now becoming quite popular in sponsored search auctions on the Web. Given a keyword and the maximum willingness to pay of each advertiser interested in the keyword, the bid optimizer generates a profile of bids for the advertisers with the objective of maximizing customer retention without compromising the revenue of the search engine. In this paper, we present a bid optimization algorithm that is based on a Nash bargaining model where the first player is the search engine and the second player is a virtual agent representing all the bidders. We make the realistic assumption that each bidder specifies a maximum willingness to pay values and a discrete, finite set of bid values. We show that the Nash bargaining solution for this problem always lies on a certain edge of the convex hull such that one end point of the edge is the vector of maximum willingness to pay of all the bidders. We show that the other endpoint of this edge can be computed as a solution of a linear programming problem. We also show how the solution can be transformed to a bid profile of the advertisers.

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A customer reported problem (or Trouble Ticket) in software maintenance is typically solved by one or more maintenance engineers. The decision of allocating the ticket to one or more engineers is generally taken by the lead, based on customer delivery deadlines and a guided complexity assessment from each maintenance engineer. The key challenge in such a scenario is two folds, un-truthful (hiked up) elicitation of ticket complexity by each engineer to the lead and the decision of allocating the ticket to a group of engineers who will solve the ticket with in customer deadline. The decision of allocation should ensure Individual and Coalitional Rationality along with Coalitional Stability. In this paper we use game theory to examine the issue of truthful elicitation of ticket complexities by engineers for solving ticket as a group given a specific customer delivery deadline. We formulate this problem as strategic form game and propose two mechanisms, (1) Division of Labor (DOL) and (2) Extended Second Price (ESP). In the proposed mechanisms we show that truth telling by each engineer constitutes a Dominant Strategy Nash Equilibrium of the underlying game. Also we analyze the existence of Individual Rationality (IR) and Coalitional Rationality (CR) properties to motivate voluntary and group participation. We use Core, solution concept from co-operative game theory to analyze the stability of the proposed group based on the allocation and payments.

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TNCs having their production bases in developing countries provide increasing opportunity for local SMEs to have subcontracting relationships with these TNCs.Even though some theoretical and a few empirical studies throw light on the nature of assistance provided by TNCs to local SMEs through subcontracting relationships,none of the studies so far analysed the diversity of assistance that subcontracting SMEs of India would be able to obtain from a TNC using quantitative measurement.This paper probes the extent of linkages and diversity of assistance that Indian subcontracting SMEs would be able to obtain from a TNC customer based on primary data from SME subcontractors of a major TNC automobile manufacturer. Statistical analysis of direct assistance revealed that SMEs receive more of product and purchase process assistance. The extent of assistance for their process related,marketing, human resource and financial requirements is low whereas the assistance for their organisational know-how requirements is moderate. The major indirect benefits these SMEs could achieve are knowledge transfer, business volume, superior work culture, reputation and quality improvement.

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India has been witnessing an economic boom which fuelling a huge growth in the financial sector especially the banks. The spending power and consumerism has been increasing along with the growth in GDP. The numbers of banks are around 3000 (data according to Reserve Bank of India). With a population base of close to 1.1 billion and a diverse culture that has been dictating the mindset and lifestyle of the population, it has been a challenge for the banks to understand the customer better and hence a the need of the hour is a proper psychographic study of retail banking customers.

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This study examines the thermal efficiency of the operation of arc furnace and the effects of harmonics and voltage dips of a factory located near Bangkok. It also attempts to find ways to improve the performance of the arc furnace operation and minimize the effects of both harmonics and voltage dips. A dynamic model of the arc furnace has been developed incorporating both electrical and thermal characteristics. The model can be used to identify potential areas for improvement of the furnace and its operation. Snapshots of waveforms and measurement of RMS values of voltage, current and power at the furnace, at other feeders and at the point of common coupling were recorded. Harmonic simulation program and electromagnetic transient simulation program were used in the study to model the effects of harmonics and voltage dips and to identify appropriate static and dynamic filters to minimize their effects within the factory. The effects of harmonics and voltage dips were identified in records taken at the point of common coupling of another factory supplied by another feeder of the same substation. Simulation studies were made to examine the results on the second feeder when dynamic filters were used in the factory which operated the arc furnace. The methodology used and the mitigation strategy identified in the study are applicable to general situation in a power distribution system where an arc furnace is a part of the load of a customer

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There are many applications such as software for processing customer records in telecom, patient records in hospitals, email processing software accessing a single email in a mailbox etc. which require to access a single record in a database consisting of millions of records. A basic feature of these applications is that they need to access data sets which are very large but simple. Cloud computing provides computing requirements for these kinds of new generation of applications involving very large data sets which cannot possibly be handled efficiently using traditional computing infrastructure. In this paper, we describe storage services provided by three well-known cloud service providers and give a comparison of their features with a view to characterize storage requirements of very large data sets as examples and we hope that it would act as a catalyst for the design of storage services for very large data set requirements in future. We also give a brief overview of other kinds of storage that have come up in the recent past for cloud computing.

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In this paper we present a combination of technologies to provide an Energy-on-Demand (EoD) service to enable low cost innovation suitable for microgrid networks. The system is designed around the low cost and simple Rural Energy Device (RED) Box which in combination with Short Message Service (SMS) communication methodology serves as an elementary proxy for Smart meters which are typically used in urban settings. Further, customer behavior and familiarity in using such devices based on mobile experience has been incorporated into the design philosophy. Customers are incentivized to interact with the system thus providing valuable behavioral and usage data to the Utility Service Provider (USP). Data that is collected over time can be used by the USP for analytics envisioned by using remote computing services known as cloud computing service. Cloud computing allows for a sharing of computational resources at the virtual level across several networks. The customer-system interaction is facilitated by a third party Telecom Service provider (TSP). The approximate cost of the RED Box is envisaged to be under USD 10 on production scale.

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The performance of prediction models is often based on ``abstract metrics'' that estimate the model's ability to limit residual errors between the observed and predicted values. However, meaningful evaluation and selection of prediction models for end-user domains requires holistic and application-sensitive performance measures. Inspired by energy consumption prediction models used in the emerging ``big data'' domain of Smart Power Grids, we propose a suite of performance measures to rationally compare models along the dimensions of scale independence, reliability, volatility and cost. We include both application independent and dependent measures, the latter parameterized to allow customization by domain experts to fit their scenario. While our measures are generalizable to other domains, we offer an empirical analysis using real energy use data for three Smart Grid applications: planning, customer education and demand response, which are relevant for energy sustainability. Our results underscore the value of the proposed measures to offer a deeper insight into models' behavior and their impact on real applications, which benefit both data mining researchers and practitioners.

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This paper describes the development and evolution of research themes in the Design Theory and Methodology (DTM) conference. Essays containing reflections on the history of DTM, supported by an analysis of session titles and papers winning the ``best paper award'', describe the development of the research themes. A second set of essays describes the evolution of several key research themes. Two broad trends in research themes are evident, with a third one emerging. The topics of the papers in the first decade or so reflect an underlying aim to apply artificial intelligence toward developing systems that could `design'. To do so required understanding how human designers behave, formalizing design processes so that they could be computed, and formalizing representations of design knowledge. The themes in the first DTM conference and the recollections of the DTM founders reflect this underlying aim. The second decade of DTM saw the emergence of product development as an underlying concern and included a growth in a systems view of design. More recently, there appears to be a trend toward design-led innovation, which entails both executing the design process more efficiently and understanding the characteristics of market-leading designs so as to produce engineered products and systems of exceptional levels of quality and customer satisfaction.

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Low-power electronic devices used in digital telecom exchanges are vulnerable to surge voltages and currents primarily originating from natural lightning or due to the direct interactions between electric power and telecommunication lines, etc., causing the earth/ground potential rise, neutral potential rise, and faults in the system. The fault currents may flow directly to telecom lines or through the equipment to the customer's premises, causing adequate damage to the equipment and personnel safety. In wireline applications, analog or digital, central office, exchanges, and subscriber sides have to be protected. Decisive protection and protective methods have to be employed for proper functioning of the equipment under overvoltage/overcurrent conditions. Current investigation reports some interesting results obtained on the recently developed high-voltage high-current protection cards used in digital telecom exchanges. The performances of protection cards both for the ring wave and hybrid wave surges are evaluated and presented. The surge generators required for the investigation are developed and fabricated in house as per the relevant telecom standards.

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Liquid crystal on silicon (LCOS) for phase-only holography is ideally made to better optical tolerance than that for conventional amplitude modulating applications. Die-level assembly is suited to custom devices and pre-production prototypes because of its flexibility and efficiency in conserving the silicon backplane. Combined with automated assembly, it will allow high reproducibility and fast turnaround time, paving the way for pre-production testing and customer sampling before mass production. Pre-assembly optical testing is the key element in the process. By taking into account the flatness of both the backplane and the front glass plate, we have assembled high quality LCOS devices. We have reached our aim of less than one quarter wavelength phase distortion across the active area. © 2011 IEEE.

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Cell culture and growth in space is crucial to understand the cellular responses under microgravity. The effects of microgravity were coupled with such environment restrictions as medium perfusion, in which the underlying mechanism has been poorly understood. In the present work, a customer-made counter sheet-flow sandwich cell culture device was developed upon a biomechanical concept from fish gill breathing. The sandwich culture unit consists of two side chambers where the medium flow is counter-directional, a central chamber where the cells are cultured, and two porous polycarbonate membranes between side and central chambers. Flow dynamics analysis revealed the symmetrical velocity profile and uniform low shear rate distribution of flowing medium inside the central culture chamber, which promotes sufficient mass transport and nutrient supply for mammalian cell growth. An on-orbit experiment performed on a recovery satellite was used to validate the availability of the device.