Logistic Solutions of Imported Renovation Materials

Tämän diplomityön tavoitteena oli tutkia saneeraus- ja remontoimistuotteiden osalta maahantuontia Suomeen ja transitoliikennettä Suomen kautta Venäjälle. Lähtökohtana oli Suomen logistinen asema ja mahdolliset kilpailukykyyn vaikuttavat tekijät, joista on luotu potentiaalisia tulevaisuuden kuvia. Kaikki tulokset johdettiin LOADER/CLIENT –tutkimusprojektin yhteyksistä. Tutkimuksen tavoitteisiin päästiin empiiristä tutkimusta varten kootun teorian kautta, joka koostuu toimitusketjun hallinnasta ja tämänhetkisestä parhaimmasta käytännöstä eli ns. kolmen A:n menetelmästä. Lisäksi teoriaosuudessa tarkasteltiin toimitusketjun yritysten välisiä suhteita, kansainväliseen toimitusketjuun liittyviä tekijöitä sekä tulevaisuuden haasteita. Työn empiiristä tutkimustietoa kerättiin pääasiassa haastattelujen, mutta myös muiden tutkimuksen tuloksien kautta. Tutkimusmenetelmä oli laadullinen puolistrukturoitu teemahaastattelu, jota varten ryhmä remontoimiseen ja saneeraukseen liittyviä yrityksiä ja heidän käyttämiä logistisia operaattoreita sekä projektin johtoryhmää haastateltiin. Tutkimuksen tulosten mukaan suurin osa haastatelluista yrityksistä näkee Suomen logistisen aseman hyvänä tällä hetkellä ja lähivuosina. Etenkin arvotavaroiden transito- kuljetuksissa Suomen asema nähdään vahvana vuosien kokemuksen ansiosta. Tällä hetkellä arvotavaroiden toimitusaika ja kokonaiskustannukset varastoimisineen ja käsittelyineen ovat vastaavia tai jopa edullisempia verrattuna esimerkiksi reitteihin Baltian maiden kautta. Baltian maiden kehitys voi heikentää Suomen kilpailukykyä hetkellisesti, mutta todennäköisesti ei pidemmällä aikavälillä. Haastateltujen henkilöiden mielestä Suomen logistiseen kilpailukykyyn tulevaisuudessa vaikuttaa eniten kaksi kriittistä tekijää. Suomen tulisi ensinnäkin keskittyä ja kehittää arvotavaran transitokuljetuksia. Toiseksi, säilyttääkseen kilpailukykynsä, Suomen satamien palveluiden kuten tullin ja ahtaajien tulisi olla joustavasti käytettävissä 24 tuntia vuorokaudessa vuoden jokaisena päivänä.

Opportunities for imported Pick and Mix candy concept in Korea

The aim of this thesis is to allocate business opportunities for the imported Pick and Mix candy concept in Korea. The approach of the study is descriptive-analytical and normative. The aim is firstly define a small theoretical background for firm's internationalization and topics related to this research such as marketing mix concepts. Secondly describe the new marketing area, where the company is aiming and finding the obstacles of entry and defining shortly the four P's concept what is used by this research. This research found that Korea is a potential market for imported Pick and Mix candy concept. Research proves that Korean consumers are having enough money to spent for items, which increase the quality of life. This research determined that Korean economy will have positive trend in the near future. It is also found in the study that operation costs of running a business in Korea is less than in western world.

Comparative lifecycle assessment on organic and conventional carrots – case: Carrots from South-Savo and imported carrots from Italy

Organic farming is perceived to be an environmental friendly method of food production, thus assumed to be an alternative means of minimizing food-based environmental footprints. However, lower yield and unproductive years in organic crop rotation raise questions of whether it is really an environmentally friendly farming practice. Thus, the aim of this thesis was to examine the carbon footprint and energy demands of organic carrots cultivated and sold in South-Savo, Finland and compare them with those of local and imported conventional carrots using lifecycle assessment (LCA) as a method. From the investigation, it was found that organic carrots produced in South-Savo have the lowest GHG emissions and energy demand. The GHG emissions of local organic, local conventional and imported conventional carrots were found to be 4g CO2 eq. kgcarrots-1, 142g CO2 eq. kgcarrots-1 and 280 g CO2 eq. kgcarrots-1, respectively. On the other hand, energy demand for those carrots was found to be 1,33 MJ, 1,88 MJ and 3,68 MJ kgcarrots-1. Furthermore, it was also found that local organic carrots would have approximately similar GHG emissions as conventional counterpart if soil carbon stock change was excluded from the study.

Mathematical modeling and optimal control of malaria

Malaria continues to infect millions and kill hundreds of thousands of people worldwide each year, despite over a century of research and attempts to control and eliminate this infectious disease. Challenges such as the development and spread of drug resistant malaria parasites, insecticide resistance to mosquitoes, climate change, the presence of individuals with subpatent malaria infections which normally are asymptomatic and behavioral plasticity in the mosquito hinder the prospects of malaria control and elimination. In this thesis, mathematical models of malaria transmission and control that address the role of drug resistance, immunity, iron supplementation and anemia, immigration and visitation, and the presence of asymptomatic carriers in malaria transmission are developed. A within-host mathematical model of severe Plasmodium falciparum malaria is also developed. First, a deterministic mathematical model for transmission of antimalarial drug resistance parasites with superinfection is developed and analyzed. The possibility of increase in the risk of superinfection due to iron supplementation and fortification in malaria endemic areas is discussed. The model results calls upon stakeholders to weigh the pros and cons of iron supplementation to individuals living in malaria endemic regions. Second, a deterministic model of transmission of drug resistant malaria parasites, including the inflow of infective immigrants, is presented and analyzed. The optimal control theory is applied to this model to study the impact of various malaria and vector control strategies, such as screening of immigrants, treatment of drug-sensitive infections, treatment of drug-resistant infections, and the use of insecticide-treated bed nets and indoor spraying of mosquitoes. The results of the model emphasize the importance of using a combination of all four controls tools for effective malaria intervention. Next, a two-age-class mathematical model for malaria transmission with asymptomatic carriers is developed and analyzed. In development of this model, four possible control measures are analyzed: the use of long-lasting treated mosquito nets, indoor residual spraying, screening and treatment of symptomatic, and screening and treatment of asymptomatic individuals. The numerical results show that a disease-free equilibrium can be attained if all four control measures are used. A common pitfall for most epidemiological models is the absence of real data; model-based conclusions have to be drawn based on uncertain parameter values. In this thesis, an approach to study the robustness of optimal control solutions under such parameter uncertainty is presented. Numerical analysis of the optimal control problem in the presence of parameter uncertainty demonstrate the robustness of the optimal control approach that: when a comprehensive control strategy is used the main conclusions of the optimal control remain unchanged, even if inevitable variability remains in the control profiles. The results provide a promising framework for the design of cost-effective strategies for disease control with multiple interventions, even under considerable uncertainty of model parameters. Finally, a separate work modeling the within-host Plasmodium falciparum infection in humans is presented. The developed model allows re-infection of already-infected red blood cells. The model hypothesizes that in severe malaria due to parasite quest for survival and rapid multiplication, the Plasmodium falciparum can be absorbed in the already-infected red blood cells which accelerates the rupture rate and consequently cause anemia. Analysis of the model and parameter identifiability using Markov chain Monte Carlo methods is presented.