Cost estimation framework for modular product

Cost estimation is an important, but challenging process when designing a new product or a feature of it, verifying the product prices given by suppliers or planning a cost saving actions of existing products. It is even more challenging when the product is highly modular, not a bulk product. In general, cost estimation techniques can be divided into two main groups - qualitative and quantitative techniques - which can further be classified into more detailed methods. Generally, qualitative techniques are preferable when comparing alternatives and quantitative techniques when cost relationships can be found. The main objective of this thesis was to develop a method on how to estimate costs of internally manufactured and commercial elevator landing doors. Because of the challenging product structure, the proposed cost estimation framework is developed under three different levels based on past cost information available. The framework consists of features from both qualitative and quantitative cost estimation techniques. The starting point for the whole cost estimation process is an unambiguous, hierarchical product structure so that the product can be classified into controllable parts and is then easier to handle. Those controllable parts can then be compared to existing past cost knowledge of similar parts and create as accurate cost estimates as possible by that way.

Analyzing the cost-efficiency and performance of a payroll department by benchmarking

Tämän diplomityön tavoitteena oli analysoida Stora Enson palkkakeskuksen ja sen henkilöstöhallinnon järjestelmän, SAP HR:n, kustannustehokkuutta ja suorituskykyä. Tutkimuksessa käytettiin apuna benchmarkingia. Viisi suurta suomalaisyritystä osallistui benchmarkingiin. Benchmarkingin pääkohteena oli yritysten välinen kustannusvertailu. Kyselyssä perehdyttiin myös yritysten järjestelmien suorituskykyyn. Tuloksien perusteella Stora Enson palkkakeskus tarjoaa kustannustehokkaan ja kilpailukykyisen ratkaisun, joka menestyy hyvin vertailussa muihin suomalaisiin yrityksiin.

Analysis of patterns in mining time series using Qlucore

Raw measurement data does not always immediately convey useful information, but applying mathematical statistical analysis tools into measurement data can improve the situation. Data analysis can offer benefits like acquiring meaningful insight from the dataset, basing critical decisions on the findings, and ruling out human bias through proper statistical treatment. In this thesis we analyze data from an industrial mineral processing plant with the aim of studying the possibility of forecasting the quality of the final product, given by one variable, with a model based on the other variables. For the study mathematical tools like Qlucore Omics Explorer (QOE) and Sparse Bayesian regression (SB) are used. Later on, linear regression is used to build a model based on a subset of variables that seem to have most significant weights in the SB model. The results obtained from QOE show that the variable representing the desired final product does not correlate with other variables. For SB and linear regression, the results show that both SB and linear regression models built on 1-day averaged data seriously underestimate the variance of true data, whereas the two models built on 1-month averaged data are reliable and able to explain a larger proportion of variability in the available data, making them suitable for prediction purposes. However, it is concluded that no single model can fit well the whole available dataset and therefore, it is proposed for future work to make piecewise non linear regression models if the same available dataset is used, or the plant to provide another dataset that should be collected in a more systematic fashion than the present data for further analysis.

Corporate Social Responsibility in Global Mining Industry

Corporate Social Responsibility is company’s interest and actions towards its environment and the society that the company takes from its free will, to give back to the community and environment. Corporate Social Responsibility is current topic as companies are challenged to take responsibility for their action, due to the constant tightening environmental legislations and raising pressure for transparency from the public. The objective of this Master’s Thesis research is to study if Corporate Social Responsibility affects suppliers’ brand image and mining companies’ buying decisions within global mining industry. The research method is qualitative and the research is conducted with secondary and primary research methods. The research aims to find out what are the implications of the research for the case company Larox. The objective is to answer to the question; how should case company Larox start to develop Corporate Social Responsibility (CSR) program of its own, and how the case company could benefit from CSR as a competitive advantage and what actions could be taken in the company marketing. Conclusions are drawn based on both the secondary and primary research results. Both of the researches imply that CSR is well present in the global mining industry, and that suppliers’ CSR policy has positive effect on company image, which positively affects company’s brand, and furthermore brand has a positive effect on mining companies buying decision. It can be concluded that indirectly CSR has an effect on buying decisions, and case company should consider developing a CSR program of its own.

Total Cost of Ownership - Elinkaarilaskennan sovellus

Ostotapahtumassa kiinnitetään usein huomiota hintaan, mutta hankintapäätökseen vaikuttavat myös muutkin kustannukset. Ongelman asiassa aiheuttaa kokonaiskustannusvaikutuksien arvioinnin ja mittauksen haasteellisuus, sekä kunnollisen raportointijärjestelmän puuttuminen. Hankinnan kokonaiskustannusten selvittäminen pitkällä aikavälillä on kuitenkin tärkeää, koska hankintojen osuus yritysten liikevaihdoista on jatkuvassa kasvussa. Työn tarkoituksena oli tarkastella Total cost of ownershipia, eli TCO:ta, elinkaarilaskennan sovellusta. Tarkastelun aluksi työlle luotiin teoreettinen pohja käyttäen hyväksi kirjallisuutta, artikkeleita sekä www-dokumentteja. Teoriaosuus rakentui kustannuslaskennan osalta kustannusten tunnistamisesta, jakamisesta ja kohdistamisesta. TCO:sta luotiin mahdollisimman laaja-alainen teoreettinen kuvaus. Seuraavaksi työssä käsiteltiin TCO:n soveltamista sen perinteisimpiin käyttökohteisiin: taloudellisesti merkittäviin hankintoihin, ulkoistamispäätöksiin, hinnoitteluun sekä toimittajien suorituskyvyn seurantaan ja analysointiin. TCO:n soveltamista käsittelevä osuus päätettiin kotimaisilla esimerkeillä TCO:n soveltamisesta IT-hankintojen apuvälineenä. Työ päätettiin käymällä läpi työtä tehdessä kypsyneet ajatukset sekä johtopäätökset.

Mining in Developing Countries: A Case Study of Sustainability Challenges

Mining has severe impacts on its surrounding. Particularly in the developing countries it has degraded the environment and signigicantly altered the socio-economical dynamics of the hosts. Especially relocation disrupts people from their homes, livelihoods, cultures and social activities. Mining industry has failed to develop the local host and streghten its governance structures; instead it has further degraded the development of mineral rich third world countries, which are among the world poorest ones. Cash flows derived from mining companies have not benefitted the crass-root level that however, bears most of the detrimental impacts. Especially if the governance structure of the host is weak, the sudden wealth is likely to accelerate disparities, corruption and even fuel wars. Environmental degradation, miscommunication, mistrust and disputes over land use have created conflicts between the communities and a mining company in Obuasi, Ghana; a case study of this thesis. The disputes are deeply rooted and further fuelled by unrealistic expectations and broken promises. The relations with artisanal and illegal miners have been especially troublesome. Illegal activities, mainly encroachment of the land and assets of the mine, such as vandalising tailings pipes have resulted in profits losses, environmental degradation and security hazards. All challenges mentioned above have to be addressed locally with site-specific solutions. It is vital to increase two-way communication, initiate collaboration and build capacity of the stakeholders such as local communities, NGOs and governance authorities. The locals must be engaged to create livelihood opportunities that are designed with and for them. Capacity can also be strengthened through education and skills training, such as women’s literacy programs. In order to diminish the overdependence of locals to the mine, the activities have to be self -sufficient and able to survive without external financial and managerial inputs. Additionally adequate and fair compensation practises and dispute resolution methods that are understood and accepted by all parties have to be agreed on as early as possible.

Supply chain cost saving potential analysis

Target of this study was to examine the current supply chain with focus on external part and identify the cost potential areas which lie there. The goal was to evaluate the cost save potential and give estimate what would be required in order to realise it. Base data related to study was searched and examined with using company’s enterprise resource planning system. In case feasible two types of scenarios were built in order to describe the scale of save potential. First scenario was theoretical and achieving it would require further investments and second scenario was realistic approach where more limitations were taken into account. The results clearly show that there is high save potential in supply chain costs linked to balance between internal and external operations. Realising of it would require at least minor investments as current internal capacity is not on a level to fully absorb the additional volumes which are needed in order to realise the potential. This study can be used as a basis when starting new projects related to investment needs.

Cost evaluation process for competitors' products

A company’s capability to map out its cost position compared to other market players is important for competitive decision making. One aspect of cost position is direct product cost that illustrates the cost efficiency of a company’s product designs. If a company can evaluate and compare its own and other market players’ direct product costs, it can implement better decisions in product development and management, manufacturing, sourcing, etc. The main objective of this thesis was to develop a cost evaluation process for competitors’ products. This objective includes a process description and an analysis tool for cost evaluations. Additionally, process implementation is discussed as well. The main result of this thesis was a process description consisting of a sixteen steps process and an Excel based analysis tool. Since literature was quite limited in this field, the solution proposal was combined from many different theoretical concepts. It includes influences from reverse engineering, product cost assessment, benchmarking and cost based decision making. This solution proposal will lead to more systematic and standardized cost position analyses and result in better cost transparency in decision making.

Evaluating multidimensional visualization techniques in data mining tasks

Visual data mining (VDM) tools employ information visualization techniques in order to represent large amounts of high-dimensional data graphically and to involve the user in exploring data at different levels of detail. The users are looking for outliers, patterns and models – in the form of clusters, classes, trends, and relationships – in different categories of data, i.e., financial, business information, etc. The focus of this thesis is the evaluation of multidimensional visualization techniques, especially from the business user’s perspective. We address three research problems. The first problem is the evaluation of projection-based visualizations with respect to their effectiveness in preserving the original distances between data points and the clustering structure of the data. In this respect, we propose the use of existing clustering validity measures. We illustrate their usefulness in evaluating five visualization techniques: Principal Components Analysis (PCA), Sammon’s Mapping, Self-Organizing Map (SOM), Radial Coordinate Visualization and Star Coordinates. The second problem is concerned with evaluating different visualization techniques as to their effectiveness in visual data mining of business data. For this purpose, we propose an inquiry evaluation technique and conduct the evaluation of nine visualization techniques. The visualizations under evaluation are Multiple Line Graphs, Permutation Matrix, Survey Plot, Scatter Plot Matrix, Parallel Coordinates, Treemap, PCA, Sammon’s Mapping and the SOM. The third problem is the evaluation of quality of use of VDM tools. We provide a conceptual framework for evaluating the quality of use of VDM tools and apply it to the evaluation of the SOM. In the evaluation, we use an inquiry technique for which we developed a questionnaire based on the proposed framework. The contributions of the thesis consist of three new evaluation techniques and the results obtained by applying these evaluation techniques. The thesis provides a systematic approach to evaluation of various visualization techniques. In this respect, first, we performed and described the evaluations in a systematic way, highlighting the evaluation activities, and their inputs and outputs. Secondly, we integrated the evaluation studies in the broad framework of usability evaluation. The results of the evaluations are intended to help developers and researchers of visualization systems to select appropriate visualization techniques in specific situations. The results of the evaluations also contribute to the understanding of the strengths and limitations of the visualization techniques evaluated and further to the improvement of these techniques.