The topic of this paper is the description of the General Contractor Selection procedure using the AHP method. Another aim of this paper – within the scope of decision-making – is the determination of the potential General Contractor’s evaluation criteria and the selection of the best Bidder using the AHP method. We included the description of the conducted tender proceeding for the purpose of the procurement’s subject. As the decision-making options, we adopted four construction companies that submitted their bid. A key element of the studies was the paired comparison of all hierarchical structure elements. We estimated the local weighting coefficients and global priorities of particular decision-making options as well as analysed the vulnerabilities of the obtained results.
In the authors’ opinion, the issue of incorrectly functioning water insulation of foundation walls in the existing buildings in Poland is currently rather common. The paper includes a multicriteria analysis aimed at arranging the selected options of the foundation wall vertical water insulation technology in an existing model historic building using the weighted sum, entropy and AHP methods. Each of the studied solutions was evaluated in terms of the following criteria: costs of construction works, time of execution of construction works, popularity of using particular insulation options by other contractors, durability of the executed insulation and the degree of nuisance of the executed works
Renewable energy from solar power plants is becoming more and more popular due to the depletion of raw materials and reduction of dependence on oil and gas and is also harmless to the natural environment. The management and rational use of land resources is currently a pressing problem in the world, including in Ukraine. One of the solutions is the development of technologies for the use of these areas and the establishment of environmentally friendly technologies for reducing air pollution, namely electricity facilities – solar power plants based on the use of photovoltaic panels. Choosing the right location for obtaining solar energy depends on many factors and constraints. Optimal location of solar farms is important to maximize the beneficial features of projects while minimizing the negative. A method of finding places in the vicinity of large cities that could be suitable for installing power plants was developed. The proposed method uses an analytical hierarchical process, analytical network process, Boolean logic and weighted linear combination. It has been implemented in the QGIS program. The method was successfully used for the city of Zaporizhia, but it can be directly implemented in any other region. That is why the presented works constitute a scheme that can be easily used to estimate large areas in order to optimally choose a place for a solar park in the vicinity of large cities. Such a model can be very useful for investors to find potential locations for solar energy before conducting detailed field research.
The paper presents an approach for evaluation of the likelihood of damage to the transportation infrastructure in the context of the terrorist attacks on the example of a number of bridges located in Wrocław (Poland). Assuming that there will be only one bridge destroyed in a given area, in order to determine the probability of damage to one of the objects, there was one of multi-criteria optimi-zation methods used, i.e. the method of Analytical Hierarchy Process (AHP). The main advantage of the analysis carried out was that the accepted hierarchy of decision-making options could be easily explained in a scientifi c manner, not only with reference to personal knowledge, experience, and intuition.
The present study tries to quantify soil losses using Geographic Information Systems (GIS) and analytic hierarchy pro-cess (AHP) in the Medjerda watershed (Algerian-Tunisian border). The Analytic Hierarchy Process (AHP) method is used in the quantification of erosion qualitative characteristics, through its weighting. It is used for many problems requiring decision-making. This catchment area is characterized by moderately consistent lithology, irregular rainfall, medium slope and low vegetation cover, which makes it very sensitive to erosion. Therefore we claim to develop a spatialization map of vulnerable areas, based on analytic hierarchy process and GIS that define the combination of specific factors. The integration of the thematic maps of the various factors makes it possible to identify the impact of each factor in the erosion, to classify the sensitive zones, and to quantify the soil losses in the basin. This mapping will be an important tool for land use planning and risk management. From the distribution map of erosive hazards, we have identified four classes of vulnerabil-ity, areas with very high to high vulnerability are mainly in the northern part of the watershed (where the relief is very important).
A concern about the current state of relations between industry and the environment is
often neglected. However, it is important to underline that industry and sustainability are
not mutually exclusive. There are many industrial processes to blame when analyzing the
negative impact on current socio-ecological environment. The emerging question is whether
companies nowadays are ready to face challenges in the name of sustainability, the future
of the planet and generations to come. In addition, an assessment of industrial processes
may be very time-consuming and costly in financial terms. This fact allows developing sustainability
assessment approach and its measures for keeping track on to evaluate scale of
environmental, social and economic changes. The goal of the paper is to develop a multicriteria
decision-making approach for sustainability assessment of renewable energy technology.
A sustainability assessment approach combines life cycle-based methods integrated with
multi-criteria decision-making method based on analytical hierarchy process. The resulting
assessment method allows finding a compromise between industry and the environment and
identify potential intervention points for further research. As a result of decision-making
process, string ribbon technology was considered as the most sustainable. The applicability
of the proposed method is assessed based on photovoltaic panels.
This research provides a tool to select and prioritize new comers to work based on their preentry organizational commitment propensity through examining links between the big five personality factors: extroversion, agreeableness, conscientiousness, neuroticism, openness; and three component model of organizational commitment: affective commitment, continues commitment, normative commitment. Findings show that extroversion and openness respectively have positive and negative effects on all three components of organizational commitment. Results gained by Structured Equation Modelling (SEM) indicate neuroticism is negatively related to affective and continues commitment and positively to conscientiousness effects on continues commitment. In the second part of the study, the received results are applied to extract the general equations that enables to estimate new comer’s pre-entry organizational commitment and to rank them using TOPSIS and AHP. The AHP is used to determine the relative weights of commitment criteria and TOPSIS is employed for the final ranking of new comers based on these criteria’s.
This publication presents the research aimed at developing statistical models, on the basis of which it was possible to prepare credible forecasts of unit cost and coal net output for longwalls in 5 hard coal mines in P oland. The argument has been verified that there is a dependence between the level of nuisance and the level of costs, as well as longwall production results.
A research procedure has been developed for that purpose, which aimed at developing two statistical models connecting the nuisance due to geological and mining conditions with costs and longwall production results. The multiple linear regression technique has been used to develop statistical models. The set of data taken into account in the analyses comprised 120 longwalls mined in the years 2010–2019. Two models have been developed – one for forecasting unit costs, the other for forecasting coal net output. Subsequently, the models’ forecasting ability has been verified on a sample of historical data. A relative forecast error for 75% of observations has been in the range of (–25%; +37%). That result has been considered satisfactory. Subsequently, using those models, forecasts of unit costs and coal net output have been prepared for 220 longwalls planned for mining in the years 2020–2030. Those forecasts have been prepared in the stipulated ranges of geological and mining nuisance influencing mining process, by means of dedicated W Ue and W Ut factors. The nuisance models for forecasting purposes have been developed using the AHP (Analytic Hierarchy Process) method. The research hypothesis has been confirmed on the basis of the obtained results. An increase in the level of nuisance leads to an increase in the unit costs for longwalls and the deterioration of production results. Unit operating costs for longwalls in specific ranges of nuisance may differ by up to 30%, being in the range of 52.0–120.3 zł/Mg. Likewise, the coal daily output of longwalls may be even 22% lower, having the average level in the range of 1.89–3.61 thousand Mg/d.
The paper presents the application of the Analytic Hierarchy Process technique to evaluate and choose the best alternative for acquiring hard coal for energy purposes by a potential Investor operating in the mining and energy sector. Six different sources supposed to provide hard coal were analysed, each of which might ensure a secure and independent supply of the material to the newly built coal-fired power plant. When choosing the best decision alternative, the positive and negative impacts of alternatives were considered through the BOCR analysis: benefits (B), opportunities (O), costs (C) and risks (R) analysis. For this purpose, 4 independent hierarchical models were developed. Different models have the same decision alternatives assessed, but they differ in criteria used to develop the models. In each of the models, in accordance with the AHP rules, were calculated final, global weights for the alternatives being assessed. Showing the best alternative was possible by applying the multiplicative formula (B ź O)/(C ź R), which value was used to rank and choose the best alternative from all assessed ones. The best decision alternative is the alternative where the (B ź O)/(C ź R) ratio is the highest.
Poland is characterized by a number of factors which adversely affect the agricultural economy, so this paper will aim to present the possibilities of using multi-criteria decision-making methods of Analytical Hierarchy Process (AHP) in the analysis of the spatial structure of rural areas. AHP is a widely used tool for making complex decisions based on a large number of criteria, such as, for example, land consolidation works on fragmented agricultural land. The first step is to formulate the decision-making process, then the assessment criteria and the solution variants guided by expert knowledge are determined.
A ranking, according to which the order of land consolidation and land exchange works in the studied area should be determined, will be defined by using decision-making models of the AHP method. The basis for calculations will be the weights received for the factors/parameters defined for the five thematic groups. Calculations for individual villages will bemade, and then the obtained results will allow creating a ranking for the studied commune, allowing for the effective (in terms of economic and socio-economic) spending of funds for this purpose. The presented method can be successfully used to conduct analogous analyses for any area.
The article raised issues related to the design and execution of low-energy objects in Polish conditions. Based on the designed single-family house, adapted to the requirements of the National Fund for Environmental Protection and Water Management ("NF40" standard), the tools to assist investment decisions by investors were shown. An economic analysis and a multi-criteria analysis were performed using AHP method which had provided an answer to the question whether it is worthwhile to bear higher investment costs in order to adjust to the standards of energy-efficient buildings that fulfil a minimal energy consumption's requirements contained in Polish law. In addition, the variant of object that had optimal characteristics due to the different preferences of investors was indicated. This paper includes analysis and observations on the attempts to unify that part of the building sector, which so far is considered to be personalized, and objects in accordance with the corresponding idea are designed as "custom-made".
This article presents the use of a multi-criterion Analytic Hierarchy Process (AHP) method to assess
geological and mining condition nuisance in longwall mining operations in selected coal mines in Poland.
For this purpose, a methodology has been developed which was used to calculate the operational nuisance
indicator (WUe) in relation to the cost of mining coal in individual longwalls. Components of the aggregate
operational nuisance indicator include four sub-indicators: the natural hazards indicator (UZN), an
indicator describing the seam parameters (UPZ), an indicator describing the technical parameters (UT)
and an environmental impact indicator (UŚ). In total, the impact of 28 different criteria, which formed
particular components of the nuisance indicators were analysed. In total 471 longwalls in 11 coal mines
were analysed, including 277 longwalls that were mined in the period of 2011 to 2016 and 194 longwalls
scheduled for exploitation in the years 2017 to 2021.
Correlation analysis was used to evaluate the relationships between nuisance and the operating costs
of longwalls. The analysis revealed a strong correlation between the level of nuisance and the operating
costs of the longwalls under study. The design of the longwall schedule should therefore also take into
account the nuisance arising from the geological and mining conditions of the operations. Selective
operations management allows for the optimization of costs for mining in underground mines using the
longwall system. This knowledge can also be used to reduce the total operating costs of mines as a result
of abandoning the mining operations in entire longwalls or portions of longwalls that may be permanently
unprofitable. Currently, underground mines do not employ this optimization method, which even more
emphasizes the need for popularizing this approach.