Uncertainty of Preferences in the Assessment of Supply Chain Management Systems Using the PROMETHEE Method

Self Cite

In recent years, the share of PV (photovoltaic) panels in the generation of renewable energy has been dynamically growing. During this time, the Polish government introduced numerous programs to assist households in switching to PV panels as the primary source of energy. Therefore, the aim of the article is to indicate the PV panels that are best suited to work for individual users in households in Poland. PV panels were assessed using the PROSA multi-criteria decision analysis method, supported by a stochastic approach, based on the Monte Carlo method. This approach made it possible to choose the most balanced solutions, in terms of individual criteria, and to take into account the uncertainty and imprecision of the weights of the assessment criteria. In particular, the use of reliable weight ranges in the Monte Carlo simulations allowed the construction of a whole spectrum of evaluation and ranking models. These models indicate the PV panels that best meet the requirements and have the best balance between the individual assessment criteria. As a result of the research, it was found that the requirements of PV installations in households in Poland are best met by panels produced in China and in the Chinese–Polish cooperation. Panels of Polish production ranked further down, which means that Polish producers do not offer products that are tailored to the needs of PV installations for households in Poland.

“…The value of the compensation (balance) coefficient for each criterion was s j = 0.3. True criterion and pre-criterion are described by Formulas ( 9) and (10), respectively [65]:…”

Section: Resultsmentioning

confidence: 99%

Selection of Photovoltaic Panels Based on Ranges of Criteria Weights and Balanced Assessment Criteria

Ziemba

2023

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“…The second stage of the proposed research approach is based on the PROMETHEE II method [33,34] in the variant using the single criterion net flow. Four steps are performed in this stage.…”

Section: Promethee II Methodsmentioning

confidence: 99%

Compromise Multi-Criteria Selection of E-Scooters for the Vehicle Sharing System in Poland

Ziemba

Gago

2022

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In Poland, there is a high ratio of private transport and unfavorable patterns of daily commuting. These patterns can be changed by introducing comfortable and eco-friendly vehicles, such as e-scooters and e-bikes. At the same time, the development of the e-micromobility-based vehicle sharing services market is developing. The aim of the article is to analyze selected e-scooters available on the Polish market and to identify the most useful vehicles from two opposing perspectives, i.e., the potential customer and owner of the vehicle sharing system. The PROSA GDSS (PROMETHEE for Sustainability Assessment—Group Decision Support System) method and the graphical representation of GAIA (Geometrical Analysis for Interactive Assistance) were used to search for a compromise and balance between the needs of the indicated stakeholders. The results of the methods used were compared with the results of the PROMETHEE GDSS method, which does not take into account the balance between the stakeholders and allows for a strong compensation of the assessments of decision makers. The conducted research allowed indicating the optimal e-scooter to meet the needs of both decision makers, and it is the JEEP 2xe Urban Camou. Both the sensitivity analysis and the solution obtained with the use of the PROMETHEE GDSS method confirmed that it is the optimal alternative, the least sensitive to changes in criteria weights and changes in the decision makers’ compensation coefficients.

“…The preference threshold for this function was each time twice the population standard deviation calculated on the basis of the values of all alternatives for a given criterion in the examined period. The PROMETHEE II method was used o aggregate preferences in each period, the steps of which are identical to the initial steps of the PROSA method, up to the moment of calculating global net flows φ net [51,54]. For each analyzed period, separate values of the φ net (a i ) assessment and country rankings were obtained, showing the degree of advancement of the energy transformation in a given year compared to other EU countries.…”

Section: Temporal Study Of Individual Periodsmentioning

confidence: 99%

Temporal Analysis of Energy Transformation in EU Countries

Ziemba,

Zair

2023

Self Cite

Due to the environmental policy adopted by the European Union (EU), EU countries are obliged to reduce greenhouse gas emissions. They reduce emissions largely through the energy transformation and switching to renewable energy sources (RES). Therefore, it is important to assess the progress of the energy transformation of individual EU countries. This is related to the aim of the article, which is a temporal analysis of the energy transformation process towards the transition to RES and reducing the use of fossil fuels in energy production. To achieve this goal, a new Temporal/Dynamic Multi-Criteria Decision-Making (T/DMCDM) method called Temporal PROSA was developed, based on the PROMETHEE and PROSA family of methods. The Temporal PROSA method, unlike many other T/DMCDM methods, enables the aggregation of data from many periods into a single final assessment, as well as the direct transfer of information from the examined periods to the overall result. As a result of the research, EU countries that dominated in terms of progress in energy transformation towards RES in the years 2004–2021were identified. Based on the data and methodology used, it was indicated that these countries are primarily Sweden and Portugal, and recently also Denmark and Finland. On the other hand, countries such as Belgium, Bulgaria, Cyprus, Luxembourg, and Poland made the least progress between 2004 and 2021.