Elever med autism och asperger i en liten undervisningsklass
En alternativ skolform för elever med neurologiska funktionshinder
Background:Life-cycle costing (LCC) is an investment calculation that takes intoaccount operating costs throughout the investee lifecycle. LCC calculations are mainly usedto evaluate investments that have no revenue side. Attempts to apply the LCC calculations forbuilding-related investments have occurred since the 1980s. Despite the advantages ofusing LCC calculations, use has not passed through in full. The main obstacles have beenidentified as a lack of relevant input data, and insufficient experience of workingwith LCC calculations. The results of calculations are perceived as being unreliable.Purpose: The purpose of this thesis is to investigate problems related to the input data of LCCcalculations and interpretation of their results and to propose measures that will reduce theextent of these problems.Method:The thesis is based on an abductive approach, where the interaction between theoryand empirical data was the starting point. Collected data have been qualitative, both primaryand secondary. Secondary data consisted of performed LCC calculations and input data, andprimary data consisted of semi-structured interviews with five respondents workingat constructors in the construction industry.Results, conclusions:The result of this thesis show large differences in how clients areworking with LCC calculations within the construction industry. The conceptof LCC calculation is not completely established or standardized, and many in theindustry lack knowledge of how the estimates should be presented and interpreted. There isa lack of knowledge on how the discount rate used in the calculations is determined. Inmany cases this includes those who perform the calculations. The conclusions include thatthe use of default values for input in the LCC calculations do not sufficiently take intoaccount the complexity of the input data. To improve the performance calculation must bebased on actual conditions in each case, such as energy prices and energy priceincreases. Analysis of results in the form of sensitivity analysis, today performed in manydifferent ways, can be significantly improved.