905 resultados para pricing tool
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Tämän diplomityön päätavoitteena oli parantaa kehitetyn kustannusperusteisen siirtohinnoittelutyökalun ominaisuuksia osastokohtaisen kustannusarviointiprosessin käyttöön. Työ on vaikeutunut lähimenneisyyden heikosta hintakyselyiden vastauskyvystä. Työn pääongelmana oli kerätä luotettavaa tuotannonohjausjärjestelmän kustannusaineistoa osittain vanhentuneista vakioventtiilien koneistus- ja materiaalitiedosta. Tutkimuksessa käytetyt tärkeimmät tutkimusmenetelmät voidaan jakaa siirtohinnoittelu- ja kustannusarvioprosessien kirjallisuustutkimukseen, kenttäanalyysiin ja nykyisen Microsoft Excel –siirtohinnoittelutyökalun kehittämiseen eri osastojen rajapinnassa. Siirtohinnoittelumenetelmät ovat yleisesti jaettu kustannus-, markkina- ja neuvotteluperusteisiin malleihin, jotka harvoin sellaisenaan kohtaavat siirtohinnoittelulle asetetut tavoitteet. Tämä ratkaisutapa voi johtaa tilanteisiin, jossa kaksi erillistä menetelmää sulautuvat yhteen. Lisäksi varsinaiseen siirtohinnoittelujärjestelmään yleensä vaikuttavat useat sisäiset ja ulkoiset tekijät. Lopullinen siirtohinnoittelumenetelmä tulisi ehdottomasti tukea myös yrityksen visiota ja muita liiketoiminnalle asetettuja strategioita. Työn tuloksena saatiin laajennettu Microsoft Excel –sovellus, joka vaatii sekä vuosittaista että kuukausittaista erikoisventtiilimateriaalien hinta- ja toimitusaikatietojen päivittämistä. Tämä ratkaisutapa ehdottomasti parantaa kustannusarviointiprosessia, koska myös alihankkijatietoja joudutaan tutkimaan systemaattisesti. Tämän jälkeen koko siirtohinnoitteluprosessia voidaan kehittää muuntamalla kokoonpano- ja testaustyövaiheiden kustannusrakennetta toimintoperustaisen kustannuslaskentamallin mukaiseksi.
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Työn tavoitteena on kehittää rakennusteollisuudessa toimivalle liiketoimintayksikölle yksinkertainen ja nopeasti käytettävä hinnoittelutyökalu, jolla pystytään hinnoittelemaan useita erilaisia tuotevariaatioita. Hinnoittelutyökalun tarkoituksena on toimia kustannuslaskentatyökaluna, hinnoittelutyökaluna sekä projektien jälkiseurannan tukena analysoinnissa. Näiden toimintojen lisäksi hinnoittelutyökalun on kyettävä vertailemaan sekä budjetoituja eli laskettuja kustannuksia että syntyneitä kustannuksia toisiinsa. Työ toteutetaan excel –taulukkolaskentapohjaisena, jonka etuina on muunneltavuus sekä kustannustehokkuus. Työssä käsitellään hinnoittelun teoriaa sekä tuotekustannuslaskentaa joka on onnistuneen hinnoitteluprosessin perusta. Hinnoittelu ei perustu yksin tuotekohtaisiin kustannuksiin, vaan hinnoittelussa on otettava huomioon myös vallitseva markkinatilanne sekä asiakkaiden hintaherkkyys.Työssä käydään läpi hinnoittelutyökalun rakentaminen sekä sen toiminnan eri vaiheet. Työn tuloksena saadaan toimiva, yrityksen tarpeisiin räätälöity hinnoittelu- ja analysointityökalu. Työ on tuonut yritykselle hinnoittelutyökalun lisäksi oheishyötyjä kuten toimintojen järkeistymistä ja asioiden syvällisempää miettimistä. Toimenpide ehdotuksena yritystä kannustetaan jatkamaan hyvin alkanutta kehittymistä kohti rationalisoituneempaa yritystä.
Kuljetusvirtojen yhdistely kannattavaksi kuljetussuoritteeksi maatalouteen liittyvissä tuoteryhmissä
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Diplomityön tavoitteena on arvioida kuljetusvirtojen yhdistämisen kannattavuutta. Kannattavuuden arvioimiseksi määritetään kuljetusvirtojen yhdistämisestä syntyneiden kuljetusreittien hinnat, jotka perustuvat reitillä käytettävien ajoneuvojen kuljetuskustannuksiin. Työssä kuvataan reitin hinnan määrittämiseksi rakennetun hinnoittelutyökalun ominaisuuksia ja käyttöä. Kova kilpailu ja huomattava kuljetuskustannusten osuus kaikista logistiikkakustannuksista haastavat yritykset kehittämään toimituspalveluistaan yhä tehokkaampia. Jotta niin asiakkaiden, toimittajien kuin kuljetusyritystenkin tarpeet voidaan mahdollisimman hyvin huomioida, on ensisijaisesti tarkasteltava yrityksen omaa toimintaa ja sen kehittymisvalmiuksia kuljetusten hallinnassa. Kuljetuskustannusten muodostumisen havainnollistamiseksi työssä perehdytään raskaan kuljetuskaluston kustannuslaskelmiin eri tekijöineen. Perusteluja kuljetusten yhdistämisen kannattavuudelle haetaan yritysmaailmassa jo toteutetuista esimerkeistä ja kuljetusten yhdistämisen rajoituksista. Kuljetusvirtojen yhdistelyn avulla yrityksen on mahdollista tehostaa logistisia palveluitaan kuljetusten osalta. Taulukkolaskentapohjainen työkalu auttaa tyhjänä ajettavien reittiosuuksien minimoinnissa. Tyhjänä ajon vähentymisen vaikutus näkyy kuljetuskustannusten alenemisena, jonka hyötyjä voidaan pitkällä aikavälillä jakaa useamman sidosryhmän kesken.
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"FHWA-PL-92-012."
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The increasing importance given by environmental policies to the dissemination and use of wind power has led to its fast and large integration in power systems. In most cases, this integration has been done in an intensive way, causing several impacts and challenges in current and future power systems operation and planning. One of these challenges is dealing with the system conditions in which the available wind power is higher than the system demand. This is one of the possible applications of demand response, which is a very promising resource in the context of competitive environments that integrates even more amounts of distributed energy resources, as well as new players. The methodology proposed aims the maximization of the social welfare in a smart grid operated by a virtual power player that manages the available energy resources. When facing excessive wind power generation availability, real time pricing is applied in order to induce the increase of consumption so that wind curtailment is minimized. The proposed method is especially useful when actual and day-ahead wind forecast differ significantly. The proposed method has been computationally implemented in GAMS optimization tool and its application is illustrated in this paper using a real 937-bus distribution network with 20310 consumers and 548 distributed generators, some of them with must take contracts.
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The main objective of this study is to analyze the role and potential of transfer pricing as a means of management control in large organizations. The special emphasis is on analyzing the potential of transfer pricing when we are motivating the profit center managers. The research approach is theoretical and literature reviews include studies about profit center organizations, performance measurement and analysis, incentive systems, transfer pricing techniques and agency theory. Based on the analysis, it seems that transfer pricing is a suitable tool for controlling, motivating and managing profit center managers. This requires that the performance measurement can be done fairly and transfer prices are set using fair assumptions. The motivating effects of transfer pricing can be enhanced if the reward system is connected to performance measurement system. In synthesis there is presented effects of transfer pricing to profit center managers behavior. There is also presented opinion about fair transfer pricing policy.
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This paper develops a general stochastic framework and an equilibrium asset pricing model that make clear how attitudes towards intertemporal substitution and risk matter for option pricing. In particular, we show under which statistical conditions option pricing formulas are not preference-free, in other words, when preferences are not hidden in the stock and bond prices as they are in the standard Black and Scholes (BS) or Hull and White (HW) pricing formulas. The dependence of option prices on preference parameters comes from several instantaneous causality effects such as the so-called leverage effect. We also emphasize that the most standard asset pricing models (CAPM for the stock and BS or HW preference-free option pricing) are valid under the same stochastic setting (typically the absence of leverage effect), regardless of preference parameter values. Even though we propose a general non-preference-free option pricing formula, we always keep in mind that the BS formula is dominant both as a theoretical reference model and as a tool for practitioners. Another contribution of the paper is to characterize why the BS formula is such a benchmark. We show that, as soon as we are ready to accept a basic property of option prices, namely their homogeneity of degree one with respect to the pair formed by the underlying stock price and the strike price, the necessary statistical hypotheses for homogeneity provide BS-shaped option prices in equilibrium. This BS-shaped option-pricing formula allows us to derive interesting characterizations of the volatility smile, that is, the pattern of BS implicit volatilities as a function of the option moneyness. First, the asymmetry of the smile is shown to be equivalent to a particular form of asymmetry of the equivalent martingale measure. Second, this asymmetry appears precisely when there is either a premium on an instantaneous interest rate risk or on a generalized leverage effect or both, in other words, whenever the option pricing formula is not preference-free. Therefore, the main conclusion of our analysis for practitioners should be that an asymmetric smile is indicative of the relevance of preference parameters to price options.
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A study focusing on the identification of return generating factors and to the extent of their influence on share prices the outcome will be a tool for investment analysis in the hands of investors portfolio managers and mutual funds who are mostly concerned with changing share prices. Since the study takes into account the influence of macroeconomic variables on variations in share returns by using the outcome the government can frame out suitable policies on long term basis and that will help in nurturing a healthy economy and resultant stock market. As every company management tries to maximize the wealth of the share holders a clear idea about the return generating variables and their influence will help the management to frame various policies to maximize the wealth of the shareholders.
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Duas classes de modelos buscam explicar o padrão de ajustamento de preço das firmas: modelos tempo-dependente e estado-dependente. O objetivo deste trabalho é levantar algumas evidencias empíricas de modo a distinguir os modelos, ou seja, identificar de que maneira as firmas realmente precificam. Para isso, escolheu-se a grande desvalorização cambial de 1999 como principal ferramenta e ambiente de análise. A hipótese fundamental é que o choque cambial impacta significativamente o custo de algumas indústrias, em alguns casos induzindo-as a alterarem seus preço após o choque. A partir de uma imensa base de micro dados formada por preços que compõem o CPI, algumas estimações importantes como a probabilidade e a magnitude média das trocas foram levantadas. A magnitude é dada por uma média simples, enquanto a probabilidade é estimada pelo método da máxima verossimilhança. Os resultados indicam um comportamento de precificação similar ao proposto por modelos estado-dependente.
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In this paper, we address the problem of dynamic pricing to optimize the revenue coming from the sales of a limited inventory in a finite time-horizon. A priori, the demand is assumed to be unknown. The seller must learn on the fly. We first deal with the simplest case, involving only one class of product for sale. Furthermore the general situation is considered with a finite number of product classes for sale. In particular, a case in point is the sale of tickets for events related to culture and leisure; in this case, typically the tickets are sold months before the event, thus, uncertainty over actual demand levels is a very a common occurrence. We propose a heuristic strategy of adaptive dynamic pricing, based on experience gained from the past, taking into account, for each time period, the available inventory, the time remaining to reach the horizon, and the profit made in previous periods. In the computational simulations performed, the demand is updated dynamically based on the prices being offered, as well as on the remaining time and inventory. The simulations show a significant profit over the fixed-price strategy, confirming the practical usefulness of the proposed strategy. We develop a tool allowing us to test different dynamic pricing strategies designed to fit market conditions and seller s objectives, which will facilitate data analysis and decision-making in the face of the problem of dynamic pricing.
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Smart grid technologies have given rise to a liberalised and decentralised electricity market, enabling energy providers and retailers to have a better understanding of the demand side and its response to pricing signals. This paper puts forward a reinforcement-learning-powered tool aiding an electricity retailer to define the tariff prices it offers, in a bid to optimise its retail strategy. In a competitive market, an energy retailer aims to simultaneously increase the number of contracted customers and its profit margin. We have abstracted the problem of deciding on a tariff price as faced by a retailer, as a semi-Markov decision problem (SMDP). A hierarchical reinforcement learning approach, MaxQ value function decomposition, is applied to solve the SMDP through interactions with the market. To evaluate our trading strategy, we developed a retailer agent (termed AstonTAC) that uses the proposed SMDP framework to act in an open multi-agent simulation environment, the Power Trading Agent Competition (Power TAC). An evaluation and analysis of the 2013 Power TAC finals show that AstonTAC successfully selects sell prices that attract as many customers as necessary to maximise the profit margin. Moreover, during the competition, AstonTAC was the only retailer agent performing well across all retail market settings.
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This report describes a tool for global optimization that implements the Differential Evolution optimization algorithm as a new Excel add-in. The tool takes a step beyond Excel’s Solver add-in, because Solver often returns a local minimum, that is, a minimum that is less than or equal to nearby points, while Differential Evolution solves for the global minimum, which includes all feasible points. Despite complex underlying mathematics, the tool is relatively easy to use, and can be applied to practical optimization problems, such as establishing pricing and awards in a hotel loyalty program. The report demonstrates an example of how to develop an optimum approach to that problem.
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Chemical cross-linking has emerged as a powerful approach for the structural characterization of proteins and protein complexes. However, the correct identification of covalently linked (cross-linked or XL) peptides analyzed by tandem mass spectrometry is still an open challenge. Here we present SIM-XL, a software tool that can analyze data generated through commonly used cross-linkers (e.g., BS3/DSS). Our software introduces a new paradigm for search-space reduction, which ultimately accounts for its increase in speed and sensitivity. Moreover, our search engine is the first to capitalize on reporter ions for selecting tandem mass spectra derived from cross-linked peptides. It also makes available a 2D interaction map and a spectrum-annotation tool unmatched by any of its kind. We show SIM-XL to be more sensitive and faster than a competing tool when analyzing a data set obtained from the human HSP90. The software is freely available for academic use at http://patternlabforproteomics.org/sim-xl. A video demonstrating the tool is available at http://patternlabforproteomics.org/sim-xl/video. SIM-XL is the first tool to support XL data in the mzIdentML format; all data are thus available from the ProteomeXchange consortium (identifier PXD001677).
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The present study evaluates the possibility of eliminating the purification steps involved in the characterization of HA by capillary zone electrophoresis (CZE). The HAs of various sources were analyzed, showing different electropherograms by CZE, which depend on the charge and size of HA. The data suggest that the purification of the sample is not necessary to characterize HAs. Based on the results, CZE showed to be a promising tool to characterize HA of different origins without the purification step of the sample.
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The transmetalation between boron and zinc is of great importance for application in organic synthesis, since it allows the formation of new carbon-carbon bonds between organometallic units and electrophiles. The direct arylation of aldehydes or more scarcely ketones, in a catalytic, enantioselective manner using chiral catalysts has been described recently. The enantiomerically enriched diarylmethanols obtained in these reactions are valuable precursors for important bioactive molecules. This review provides a synopsis of this ever-growing field and highlights some of the challenges that still remain.