Ohjelmistoyrityksen tuoteliiketoiminnan ohjaaminen elinkaarimallin avulla

Nopeasti muuttuvissa kilpailutilanteissa varsinkin pienet ja keskisuuret ohjelmistoyritykset joutuvat kilpailuetuja saavuttaakseen tekemään strategisia päätöksiä, joiden vaikutukset voidaan todeta vasta pitkän ajan kuluttua. Sen vuoksi yritysjohto tarvitsee päätöksentekoa varten tukijärjestelmiä, jotka sekä tuottavat informaatiota päätöksenteon tueksi että auttavat vähentämään päätöksistä aiheutuneita riskejä. Tämän työn tavoitteena oli kehittää ohjelmistoyritysten ohjelmistotuoteliiketoimintaa varten elinkaarikustannusmalli, jonka avulla yritysjohto voi arvioida ohjelmistotuotteiden koko-naiskustannuksia koko elinkaaren ajalta. Elinkaarikustannusmallia tutkittiin sekä elinkaarikustannusten että ohjelmistotuotantoprosessien teoreettisissa viitekehyksissä. Empiirinen tieto kerättiin tutkimukseen osallistuneen ohjelmistoyrityksen avulla. Tutkimuksessa kehitetty elinkaarikustannusmalli eroaa monista muista tutkituista kustannusmalleista siinä, että se lähestyy elinkaarikustannusten problematiikkaa strategisesta näkökulmasta, kun taas monet muut mallit toteuttavat tietoteknistä lähestymistapaa. Siten ohjelmistoyrityksen johto voi ohjata tuoteliiketoimintaa osana strategista päätöksentekoa sekä tuotteen elinkaaren kokonaiskustannusten avulla että elinkaarikustannusmallin epäsuorien vaikutusten kautta

Offshoring and outsourcing under demand uncertainty -a supply chain management analysis

Outsourcing and offshoring or any combinations of these have not just become a popular phenomenon, but are viewed as one of the most important management strategies due to the new possibilities from globalization. They have been seen as a possibility to save costs and improve customer service. Executing offshoring and offshore outsourcing successfully can be more complex than initially expected. Potential cost savings resulting from of offshoring and offshore outsourcing are often based on lower manufacturing costs. However, these benefits might be conflicted by a more complex supply chain with service level challenges that can respectively increase costs. Therefore analyzing the total cost effects of offshoring and outsourcing is necessary. The aim of this Master´s Thesis was to to construct a total cost model using academic literature to calculate the total costs and analyze the reasonability of offshoring and offshore outsourcing production of a case company compared to insourcing production. The research data was mainly quantitative and collected mainly from the case company past sales and production records. In addition management level interviews from the case company were conducted. The information from these interviews was used for the qualification of the necessary quantitative data and adding supportive information that could not be gathered from the quantitative data. Both data collection and analysis were guided by a theoretical frame of reference that was based on academic literature concerning offshoring and outsourcing, statistical calculation of demand and total costs. The results confirm the theories that offshoring and offshore outsourcing would reduce total costs as both offshoring and offshore outsourcing options result in lower total annual costs than insourcing mainly due to lower manufacturing costs. However, increased demand uncertainty would make the alternative of offshore outsourcing more risky and difficult to manage. Therefore when assessing the overall impact of the alternatives, offshoring is the most preferable option. As the main cost savings in offshore outsourcing came from lower manufacturing costs, more specifically labour costs, the logistics costs in this case company did not have an essential effect in total costs. The management should therefore pay attention initially to manufacturing costs and then logistics costs when choosing the best production sourcing option for the company.

Teollisuuden palveluliiketoiminta: Kustannuslaskennan soveltaminen ja erityispiirteet

Palveluiden liiketoiminnallinen merkitys on kasvanut viimeisten vuosien aikana ja ilmiö koskee yhä enemmän myös teollisuutta. Tämän tutkielman tarkoituksena on selvittää palvelutuotannon vaikutuksia kustannuslaskennan toteuttamiseen teollisuusyritysten näkökulmasta. Tutkimuksen avulla pyritään hahmottamaan niitä erityispiirteitä ja soveltamistarpeita, joita palveluistuminen asettaa teollisuusyritysten kustannuslaskentaprosesseille. Tutkimus toteutettiin laadullisen tutkimuksen menetelmin yhteen yritykseen keskittyvän tapaustutkimuksen avulla. Aineistoa on kerätty kohdeyrityksen sisäisten dokumenttien ja prosessikaavioiden, toiminnanohjausjärstelmän tietojen, haastattelun sekä tutkijan oman osallistumisen avulla. Tutkimuksessa havaittiin, että palveluistuminen korostaa asiakasnäkökulmaa ja vaikuttaa laajasti koko organisaation toimintaan. Nämä vaikutukset tulisi ottaa huomioon mahdollisimman kattavasti päätöksenteossa ja toiminnan suunnittelussa, jotta palveluiden liiketoimintapotentiaalista voidaan hyötyä. Kustannuslaskennan kannalta haasteena ovat erityisesti eri palvelutuotteiden toisistaan poikkeavat vaatimukset ja prosessit sekä asiakaskohtainen räätälöinti. Kustannuslaskennan kannalta on tärkeää, että yrityksessä tunnistetaan palvelutuotteiden kustannusrakenteet, jotta kustannuslaskenta voidaan toteuttaa tarkoituksenmukaisella tavalla. Palveluistuminen vaikuttaa yrityksen toimintaan ja prosesseihin, jolloin myös kustannuslaskentaa tulee muokata vastaamaan uusia olosuhteita. Palveluistumisen vaikutuksen vaihtelevat organisaatioittain, joten tiettyä palvelutuotantoon sopivaa kustannuslaskentamallia ei voida esitttää, vaan laskentamalli tulee harkita tapauskohtaisesti.

The Macroeconomic Effects of Infrequent Information with Adjustment Costs

In the last decade, the potential macroeconomic effects of intermittent large adjustments in microeconomic decision variables such as prices, investment, consumption of durables or employment – a behavior which may be justified by the presence of kinked adjustment costs – have been studied in models where economic agents continuously observe the optimal level of their decision variable. In this paper, we develop a simple model which introduces infrequent information in a kinked adjustment cost model by assuming that agents do not observe continuously the frictionless optimal level of the control variable. Periodic releases of macroeconomic statistics or dividend announcements are examples of such infrequent information arrivals. We first solve for the optimal individual decision rule, that is found to be both state and time dependent. We then develop an aggregation framework to study the macroeconomic implications of such optimal individual decision rules. Our model has the distinct characteristic that a vast number of agents tend to act together, and more so when uncertainty is large. The average effect of an aggregate shock is inversely related to its size and to aggregate uncertainty. We show that these results differ substantially from the ones obtained with full information adjustment cost models.

Análisis de los procesos de internacionalización en el sector petrolero : Ecopetrol, Petrobras Y Exxonmobil

El presente trabajo se centra en el fenómeno de la internacionalización dentro del sector petrolero. Para esto, se escogió a tres empresas: Ecopetrol, por ser la empresa colombiana más grande; Petrobras, el mayor representante de Latinoamérica; y Exxon Mobil, un gigante del petróleo a nivel mundial. Estas empresas, que se encuentran en diferentes etapas dentro de su proceso de la internacionalización, muestran comportamientos estratégicos similares. Son precisamente estas similitudes las que permitieron proponer un modelo de internacionalización generalizado para las diferentes empresas que componen dicho sector económico. Para alcanzar dicho modelo, se recurrió a diferentes teorías de internacionalización desarrolladas por varias escuelas de negocios en el mundo, tales como el Modelo Ecléctico, el de Uppsala o la Teoría de Redes. Cabe destacar que dicho modelo propuesto es una aproximación teórica a la realidad empresarial de las compañías petroleras, usando como marco de referencia una muestra pequeña de este tipo de organizaciones. Dentro de este modelo, los altos matices de complejidad propios del fenómeno de la internacionalización se ven reducidos de manera considerable, como parte del ejercicio académico propuesto en el presente estudio.

The macroeconomic effects of infrequent information with adjustment costs

We extend the macroeconomic literature on Sstype rules by introducing infrequent information in a kinked ad justment cost model. We first show that optimal individual decision rules are both state-and -time dependent. We then develop an aggregation framework to study the macroeconomic implications of such optimal individual decision rules. In our model, a vast number of agents act together, and more so when uncertainty is large.The average effect of an aggregate shock is inversely related to its size and to aggregate uncertainty. These results are in contrast with those obtained with full information ad justment cost models.

Economic-statistical design of the (X)over-bar chart used to control a wandering process mean using genetic algorithm

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Economic design of (X)over-bar and R charts under Weibull shock models

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Joint conomic design of (x)over-bar and R charts under Weibull shock models

This paper deals with the joint economic design of (x) over bar and R charts when the occurrence times of assignable causes follow Weibull distributions with increasing failure rates. The variable quality characteristic is assumed to be normally distributed and the process is subject to two independent assignable causes (such as tool wear-out, overheating, or vibration). One cause changes the process mean and the other changes the process variance. However, the occurrence of one kind of assignable cause does not preclude the occurrence of the other. A cost model is developed and a non-uniform sampling interval scheme is adopted. A two-step search procedure is employed to determine the optimum design parameters. Finally, a sensitivity analysis of the model is conducted, and the cost savings associated with the use of non-uniform sampling intervals instead of constant sampling intervals are evaluated.

Economic design of (X)over-bar charts with variable parameters: the Markov chain approach

This paper presents an economic design of (X) over bar control charts with variable sample sizes, variable sampling intervals, and variable control limits. The sample size n, the sampling interval h, and the control limit coefficient k vary between minimum and maximum values, tightening or relaxing the control. The control is relaxed when an (X) over bar value falls close to the target and is tightened when an (X) over bar value falls far from the target. A cost model is constructed that involves the cost of false alarms, the cost of finding and eliminating the assignable cause, the cost associated with production in an out-of-control state, and the cost of sampling and testing. The assumption of an exponential distribution to describe the length of time the process remains in control allows the application of the Markov chain approach for developing the cost function. A comprehensive study is performed to examine the economic advantages of varying the (X) over bar chart parameters.

Joint conomic design of x̄ and R charts under Weibull shock models

This paper deals with the joint economic design of x̄ and R charts when the occurrence times of assignable causes follow Weibull distributions with increasing failure rates. The variable quality characteristic is assumed to be normally distributed and the process is subject to two independent assignable causes (such as tool wear-out, overheating, or vibration). One cause changes the process mean and the other changes the process variance. However, the occurrence of one kind of assignable cause does not preclude the occurrence of the other. A cost model is developed and a non-uniform sampling interval scheme is adopted. A two-step search procedure is employed to determine the optimum design parameters. Finally, a sensitivity analysis of the model is conducted, and the cost savings associated with the use of non-uniform sampling intervals instead of constant sampling intervals are evaluated.

O impacto da qualificação da mão-de-obra no desempenho comercial do Brasil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Planejamento econômico de gráficos de controle X para monitoramento de processos autocorrelacionados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estimating outcomes in newborn infants using fuzzy logic

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Proteo : lenguaje para la especificación de lenguajes específicos de dominio

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)