The aim of this project is to optimise the sawing patterns used for sawing Scots pine at Säters Ångsåg AB. The thesis has a theoretical approach and does not claim to be fully applicable in a practical point of view. The input used in this project is last year?s sales volumes and prices of sawn products. The input of the timber is collected from the database ?VIOL?.

This thesis describes an Optimising compiler for translating from SMV to CLP(B). The optimisation is aimed at reducing the number of required variables in order to decrease the size of the resulting BDDs. Also a partitioning of the transition relation is performed. The compiler uses an internal representation of a FSM that is built up from the SMV description. A number of rewrite steps are performed on the problem description such as encoding to a Boolean domain and performing the optimisations.

The management of assets in organisations today can be a challenging task and Optimising their usage is critical to ensure maximum profit. For rental businesses offering tangible products efficient management of movable assets are an essential part of the business strategy. The main purpose of this study is to investigate how asset management and asset information management can be carried out in rental businesses and in what ways information technology can support it. By doing a literature review combined with a case study where three rental businesses and their use of information technology were examined we could identify several important aspects regarding asset information management. The results we have found is that rental businesses with a high degree of digitization in existing asset information management systems are able to rationalize existing work processes, which in some ways changes the roles of employees.

Title:Comparison of databases ? Is the law an obstacle?Authors:Alexander Ankarberg, Applied Information Science.Tutors:Lars- Eric LjungProblem: Cross running databases is getting more and more significant during the development of the information flow. There are huge benefits if we start to use the technique that already exists. The law is today an obstacle, so what would happen if the law wasn?t so stern.

Wood pellets are an upgraded product of residuals from several wood processing industries, for example saw mills and pulp industries. The pellets are produced by pressing the milled and dried sawdust to cylindrical units with a higher density than the initial raw material. Pellets have great benefits compared to the raw material: high energy per volume, good transport and storage properties and homogeneity. Several parameters collaborate in the whole process, which makes it complex. Wood is a heterogeneous material, chemically and structurally dependent on wood parts, habitat and storage procedures.

During the last decade, the construction industry has focused on improving and Optimising its production process. The construction industry is now facing larger changes regarding efficiency in their supply chain for the next decade. Many companies are now trying to optimise its supply chain together with its supplier. JM AB, which is one of the biggest construction companies in Sweden, is looking at different options to improve its own logistics together with their suppliers. One option is to use a terminal between JM and the suppliers to solve problems such as quality, custom service and inventory for the in production.

The aim of the study was to investigate if the Grazemore Decision Support System (DSS) is able to provide a grazing management strategy that gives a high utilisation of grazed grass in milk production in the north of Scandinavia. To do this, a grazing experiment was planed and performed during the summer 2005. Simulations in the DSS were run to get a suggestion of how the cows should graze, grazing calendar 1. Deviations and updates during the season resulted in the simulated grazing calendar 2. During the experiment, the actual milk yield was recorded twice weekly. The difference between actual and predicted milk yield by Grazemore DSS was analysed statistically with regression analysis and the mean square prediction error (MSPE) was estimated.

Growth models are very useful tools for forestry to predict growth and yield. With growth models and Optimising tools you can manage forest stands in a way that maximize benefit and income. There are three major types of growth models. Stand models; stage structured models and single-tree models. The most advanced models give the most accurate forecasts.