912 resultados para sales forecasting
Resumo:
In January 1987, when it became apparent that the Legislature did not intend to further debate the merits of retail liquor store privatization, the Iowa Alcoholic Beverages Division had only from mid-January to March 1st, to plan for the conversion fro state liquor stores to private licensed liquor retailers. A longer lead time would have effected a much smoother transition, with fewer errors. It also would have been more successful had the Alcoholic Beverages Division been able to provide input in the writing of the legislation. Many problems could have been avoided. However, any statements made by the Alcoholic Beverages Division were treated only as being self-serving and were largely ignored. Overall, privatization was a good idea and has been a financial success as well.
Resumo:
Selostus: Suomen ruokaperunamarkkinoiden toimivuus
Resumo:
A network of 25 sonic stage sensors were deployed in the Squaw Creek basin upstream from Ames Iowa to determine if the state-of-the-art distributed hydrological model CUENCAS can produce reliable information for all road crossings including those that cross small creeks draining basins as small as 1 sq. mile. A hydraulic model was implemented for the major tributaries of the Squaw Creek where IFC sonic instruments were deployed and it was coupled to CUENCAS to validate the predictions made at small tributaries in the basin. This study demonstrates that the predictions made by the hydrological model at internal locations in the basins are as accurate as the predictions made at the outlet of the basin. Final rating curves based on surveyed cross sections were developed for the 22 IFC-bridge sites that are currently operating, and routine forecast is provided at those locations (see IFIS). Rating curves were developed for 60 additional bridge locations in the basin, however, we do not use those rating curves for routine forecast because the lack of accuracy of LiDAR derived cross sections is not optimal. The results of our work form the basis for two papers that have been submitted for publication to the Journal of Hydrological Engineering. Peer review of our work will gives a strong footing to our ability to expand our results from the pilot Squaw Creek basin to all basins in Iowa.
Resumo:
During the 2010 legislative session, Senate File 2375, or Streamlined Sales and Use Tax Administration Act, was approved by the general assembly. The act modified the Iowa sales use tax law to keep the state in compliance with the National Streamlines Sales and Use Tax Agreement. This issue review provides a brief update on the status of the agreement and its impact on Iowa.
Resumo:
High-energy charged particles in the van Allen radiation belts and in solar energetic particle events can damage satellites on orbit leading to malfunctions and loss of satellite service. Here we describe some recent results from the SPACECAST project on modelling and forecasting the radiation belts, and modelling solar energetic particle events. We describe the SPACECAST forecasting system that uses physical models that include wave-particle interactions to forecast the electron radiation belts up to 3 h ahead. We show that the forecasts were able to reproduce the >2 MeV electron flux at GOES 13 during the moderate storm of 7-8 October 2012, and the period following a fast solar wind stream on 25-26 October 2012 to within a factor of 5 or so. At lower energies of 10- a few 100 keV we show that the electron flux at geostationary orbit depends sensitively on the high-energy tail of the source distribution near 10 RE on the nightside of the Earth, and that the source is best represented by a kappa distribution. We present a new model of whistler mode chorus determined from multiple satellite measurements which shows that the effects of wave-particle interactions beyond geostationary orbit are likely to be very significant. We also present radial diffusion coefficients calculated from satellite data at geostationary orbit which vary with Kp by over four orders of magnitude. We describe a new automated method to determine the position at the shock that is magnetically connected to the Earth for modelling solar energetic particle events and which takes into account entropy, and predict the form of the mean free path in the foreshock, and particle injection efficiency at the shock from analytical theory which can be tested in simulations.
Resumo:
What is the trend in service station sales and how does a change in the traffic pattern affect this trend? This report is a study of service station sales in eight Iowa cities that are experiencing changes in traffic patterns. The cities are: 1. Albia 2. Boone 3. Chariton 4. Decorah 5. Grinnell 6. Jefferson 7. Newton 8. Stuart. The Interstate Highway by-passes Newton, Grinnell and Stuart. Primary highways are being relocated around Boone, Decorah, and Albia. Primary highway relocations have been completed around Chariton and Jefferson.
Resumo:
High-energy charged particles in the van Allen radiation belts and in solar energetic particle events can damage satellites on orbit leading to malfunctions and loss of satellite service. Here we describe some recent results from the SPACECAST project on modelling and forecasting the radiation belts, and modelling solar energetic particle events. We describe the SPACECAST forecasting system that uses physical models that include wave-particle interactions to forecast the electron radiation belts up to 3 h ahead. We show that the forecasts were able to reproduce the >2 MeV electron flux at GOES 13 during the moderate storm of 7-8 October 2012, and the period following a fast solar wind stream on 25-26 October 2012 to within a factor of 5 or so. At lower energies of 10- a few 100 keV we show that the electron flux at geostationary orbit depends sensitively on the high-energy tail of the source distribution near 10 RE on the nightside of the Earth, and that the source is best represented by a kappa distribution. We present a new model of whistler mode chorus determined from multiple satellite measurements which shows that the effects of wave-particle interactions beyond geostationary orbit are likely to be very significant. We also present radial diffusion coefficients calculated from satellite data at geostationary orbit which vary with Kp by over four orders of magnitude. We describe a new automated method to determine the position at the shock that is magnetically connected to the Earth for modelling solar energetic particle events and which takes into account entropy, and predict the form of the mean free path in the foreshock, and particle injection efficiency at the shock from analytical theory which can be tested in simulations.
Resumo:
Elektroniikan alihankintapalveluiden (EMS) liiketoimintaympäristössä yritykset toimivat pääasiassa asiakkaiden projektien ja ulkoistamispäätösten keskellä. Tämän tyyppisessä liiketoimintaympäristössä on asiakas keskeisessä roolissa, kuten liiketoiminnassa yleensäkin. Termi EMS sisältää koko tuotteen elinkaaren aina suunnittelusta myynnin jälkeisiin palveluihin. Asiakkaan olessa erittäin tärkeä yritykselle, on myös selvitettävä mitkä asiakkaat ovat yrityksen kannalta arvokkaimmat. Tämän tutkimuksen tavoitteena oli selvittää myyntijohdon tietotarpeet sekä löytää selkeä ja helppokäyttöinen tapa tuoda tarvittava informaatio heidän käyttöönsä. Tietotarpeet selvitettiin haastatteluilla ja kyselytutkimuksella ja sopivan järjestelmän löytämisessä käytettiin prototyyppi-lähestymistä, jotta saataisiin selville täyttääkö valittu järjestelmä myyntijohdon tarpeet. Nk. dashboard-mittaristot ovat hyvä tapa tuoda asiakasinformaatiota päätöksenteontueksi. Tälläisillä mittaristoilla voidaan myös yhdistellä eri lähteistä olevaa tietoa ja tuoda se ymmärrettävässä muodossa esiin. Tässä tutkimuksessa kuvataan mittariston suunnittelu myyntijohdon tarpeisiin. Ensimmäisenä tutkitaan kyselyn avulla myyntijohtajien tiedon tarpeet ja tämän jälkeen etsitään sopiva tekninen sovellus ja ratkaistaan tiedon siirtoihin liittyvät ongelmat. Kun ensimmäinen versio on valmis, esitellään se myyntijohdolle, jotta saadaan kerättyä kommentit seuraavaan versioon.
Resumo:
This master's thesis coversthe concepts of knowledge discovery, data mining and technology forecasting methods in telecommunications. It covers the various aspects of knowledge discoveryin data bases and discusses in detail the methods of data mining and technologyforecasting methods that are used in telecommunications. Main concern in the overall process of this thesis is to emphasize the methods that are being used in technology forecasting for telecommunications and data mining. It tries to answer to some extent to the question of do forecasts create a future? It also describes few difficulties that arise in technology forecasting. This thesis was done as part of my master's studies in Lappeenranta University of Technology.
Resumo:
The increasing interest aroused by more advanced forecasting techniques, together with the requirement for more accurate forecasts of tourismdemand at the destination level due to the constant growth of world tourism, has lead us to evaluate the forecasting performance of neural modelling relative to that of time seriesmethods at a regional level. Seasonality and volatility are important features of tourism data, which makes it a particularly favourable context in which to compare the forecasting performance of linear models to that of nonlinear alternative approaches. Pre-processed official statistical data of overnight stays and tourist arrivals fromall the different countries of origin to Catalonia from 2001 to 2009 is used in the study. When comparing the forecasting accuracy of the different techniques for different time horizons, autoregressive integrated moving average models outperform self-exciting threshold autoregressions and artificial neural network models, especially for shorter horizons. These results suggest that the there is a trade-off between the degree of pre-processing and the accuracy of the forecasts obtained with neural networks, which are more suitable in the presence of nonlinearity in the data. In spite of the significant differences between countries, which can be explained by different patterns of consumer behaviour,we also find that forecasts of tourist arrivals aremore accurate than forecasts of overnight stays.
Resumo:
Digitaalinen tulostus osana informaatiologistiikan toimialaa elää murroskautta kovankilpailun ja palveluiden kehittymisen myötä. Moderni teknologia mahdollistaa uudenlaisia älykkäitä palveluita, jotka antavat lisäarvoa niin yritysasiakkaille kuin kuluttajillekin. Siten myös myyntiprosesseja kehitetään tukemaan arvon luontia. Tutkimuksen teoreettisessa osuudessa sovellettiin arvon luomiseen ja myymiseen liittyviä keskeisiä teorioita, sekä organisaation ostokäyttäytymisen ja suhdemarkkinoinnin asioita. Empiirinen tutkimus toteutettiin asiakas- ja asiantuntijahaastatteluiden sekä kansainvälisten koulutuspäivien avulla. Työn tavoitteena oli luoda teoreettisen ja empiirisen tutkimuksen tulosten pohjalta ohjeistus digitaalisen tulostuksen palveluiden arvomyyntiin. Lisäksi työssä käsiteltiin myyntiprosessiin liittyviä kysymyksiä alan ominaispiirteet huomioon ottaen.
Resumo:
Forecasting coal resources and reserves is critical for coal mine development. Thickness maps are commonly used for assessing coal resources and reserves; however they are limited for capturing coal splitting effects in thick and heterogeneous coal zones. As an alternative, three-dimensional geostatistical methods are used to populate facies distributionwithin a densely drilled heterogeneous coal zone in the As Pontes Basin (NWSpain). Coal distribution in this zone is mainly characterized by coal-dominated areas in the central parts of the basin interfingering with terrigenous-dominated alluvial fan zones at the margins. The three-dimensional models obtained are applied to forecast coal resources and reserves. Predictions using subsets of the entire dataset are also generated to understand the performance of methods under limited data constraints. Three-dimensional facies interpolation methods tend to overestimate coal resources and reserves due to interpolation smoothing. Facies simulation methods yield similar resource predictions than conventional thickness map approximations. Reserves predicted by facies simulation methods are mainly influenced by: a) the specific coal proportion threshold used to determine if a block can be recovered or not, and b) the capability of the modelling strategy to reproduce areal trends in coal proportions and splitting between coal-dominated and terrigenousdominated areas of the basin. Reserves predictions differ between the simulation methods, even with dense conditioning datasets. Simulation methods can be ranked according to the correlation of their outputs with predictions from the directly interpolated coal proportion maps: a) with low-density datasets sequential indicator simulation with trends yields the best correlation, b) with high-density datasets sequential indicator simulation with post-processing yields the best correlation, because the areal trends are provided implicitly by the dense conditioning data.