Controlling of Robot Movements by On-Board Camera

Tato studentská práce pojednává o základním zpracování obrazu a jeho následném využití automatickými systémy, zejména pro využití při orientaci v prostoru a detekci překážek v robotice. Dále je v této práci navržena implementace základního rozpoznávání překážek a popis implementace pro konkrétní aplikaci na robotu Surveyor SRV-1.This student paper discusses the basic image processing and it's use in automatic systems, particularly for use in space orientation and obstacle detection for robots. Additionally, the work show  concept implementation of the basic obstacles recognition and description of actual implementation for specific application an the robot Surveyor SRV-1.

D NUMBERS – FUCOM – FUZZY RAFSI MODEL FOR SELECTING THE GROUP OF CONSTRUCTION MACHINES FOR ENABLING MOBILITY

The paper presents a hybrid model for decision-making support based on D numbers, the FUCOM method and fuzzified RAFSI method, used for solving the selection of the group of construction machines for enabling mobility. By applying D numbers, the input parameters for the calculation of the weight coefficients of the criteria were provided. The calculation of the weight coefficients of the criteria was performed using the FUCOM method. The best alternative was selected using the fuzzified method, which was conditioned by the specificity of the issue so that in this case, the selection of the best alternative was made using the fuzzified RAFSI method

A novel vehicle routing algorithm for route optimization using best-worst method and ranking alternatives for similarity to ideal solution

The Vehicle Routing Problem (VRP) is important in supply chain management as it optimizes goods and services delivery to customers, resulting in improved organizational productivity. This study introduces an innovative hybrid methodology integrating the Multi-Criteria Decision Making (MCDM) approach with Clarke and Wright’s savings algorithm to tackle the capacitated vehicle routing problem. In addition to the conventional aim of optimizing truck routes, this strategy considers customer satisfaction. The initial step involves clustering all customers through the utilization of Clarke and Wright’s savings algorithm, which efficiently organizes customers into groups based on their geographical closeness. Following this, the hybrid Best-Worst Method (BWM) and Ranking Alternatives For Similarity to Ideal Solution (RAFSI) method are utilized to allocate the best routes and establish customer prioritization. The major objective of this study is to reduce overall transportation expenses while ensuring compliance with vehicle capacity limitations, aiming to improve customer satisfaction. The proposed approach seeks to balance cost-efficiency and customer-centricity in vehicle routing by including customer prioritizing and Clarke and Wright’s savings algorithm. The effectiveness and practical application of the proposed methodology are demonstrated through a case in the food industry. The obtained results using the proposed methodology give a more precise platform for decision-making and highlight its relevance for enhancing supply chain performance and addressing the intricate challenges associated with the capacitated vehicle routing problem. The hybrid technique presented in this study provides a comprehensive framework for effectively tackling the intricate challenges associated with the capacitated vehicle routing problem

Unveiling the implementation barriers to the digital Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method

Digital transformation has been regarded as a primary styrategy to promote transitions in diverse fields, but industry pioneers believe that the existing barriers may hamper the speed of digital transformation. Hence, this paper presents a synthetical decision model integrating the weighted Heronian mean aggregation (WHMA) operator, the Level-Based Weight Assessment (LBWA) model, the CRITIC (criteria importance through intercriteria correlation) method, and the Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI) model with Fermatean cubic fuzzy sets to evaluate the barriers to digital transformation implementation in energy transitions with unknown weights of experts and criteria. In this framework, an extended WHMA operator with the deviation-based method is established to fuse experts' preference information. The LBWA model and CRITIC method with FCF setting are combined to derive the weights of barriers. Next, these methods are incorporated into the RAFSI model to analyze these barriers. A numerical example of evaluating barriers to digital transformation implementation in the power sector displays the application of the RAFSI model-based decision method. The result reveals that “Equipment manufacturer” (0.7063) has the highest barrier level, and “Consumers of smart power electronic” (0.4391) have the lowest barrier level. After that, sensitivity and comparative explorations are applied to examine the feasibility and reliability of the synthetical model. The results show that the proposed model can provide a more practical and stable evaluation result for supporting the decision of stakeholders associated with ET

Evaluation of the Alternatives of Introducing Electric Vehicles in developing countries using Type-2 neutrosophic numbers based RAFSI model

This study focuses on implementing electric vehicles (EVs) in developing countries where energy production is mainly based on fossil fuels. Although for these countries the environmental short-run benefits of the EVs cannot offset the short-run costs, it may still be the best option to implement the EVs as soon as possible. Hence, it is necessary to evaluate the alternatives to introducing EVs to the market due to the environmental concerns that created an opportunity for some developing countries to catch up with the international competition. Therefore, we develop a case scenario to explore the decision-making process in implementing the EVs with three alternatives and twelve criteria. We solve the decision-making problem by using Type-2 neutrosophic numbers (T2NNs) based on the RAFSI (Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval) method. The proposed model combines the advantages of the RAFSI technique, and it applies T2NNs to address the uncertainties. The results show that the alternatives that may suspend the implementation of the EVs are inferior. Direct implementation of EVs is prioritized. The policy implications of the results are discussed in the study

Safeguarding Sovereignty: Indonesia\u27s Solution to the Raw Materials Case in WTO

Indonesia’s export restriction on raw materials was based upon Law No. 4 of 2009 on Mineral and Coal Mining as amended with Law No. 3 of 2020. January 1st of 2020 marks nickel to be the first mineral to be affected by the raw mineral export ban policy. This measure has sparked a controversy in the international community, as the European Union deemed that this measure is against the principles of the World Trade Organization of nonrestrictive trade policies. This phenomenon was brought to the Dispute Settlement Body of the WTO as DS592 – Indonesia Measures Relating to Raw Materials. Although the Indonesian government has lost the case against the European Union, the Indonesian government is adamant on proceeding with this measure to further develop the downstream industry of raw minerals in Indonesia. Since then, Indonesia has filed the appeal for the panel report of the DS592 case and shows no sign of stopping the nationwide export ban on raw minerals, with bauxite, copper, and tin on the horizon. Therefore, the invocation of Article XXI GATT could be used as a strategy to avoid scrutiny from the international community, by invoking a national security exception to implement measures inconsistent to the principles of the WTO. Thus, the Indonesian government is able to protect and secure their nation’s fundamental principal as a sovereign nation with control over its raw materials

Aircraft type selection using fuzzy trigonometric based OPA and RAFSI model

The availability of numerous types of aircraft and their technical capabilities are offering a wide range of alternatives. As customers have different expectations, aircraft type selection is a business strategy for the airline companies. The choice on carriers should be made in accordance with disparate dimensions such as customers' expectations, profit of the company, capacity limitations and market conditions. This study formulates aircraft type selection as a Multi Criteria Decision Making (MCDM) problem and proposes a novel model that incorporates fuzzy trigonometric norms to solve. Being differentiated from the existing models in the literature, a two-stage model is identified. In the first stage, a fuzzy trigonometric-based Ordinal Priority Approach (OPA) determines the criteria weights. In the second stage, RAFSI (Ranking of Alternatives through Functional Mapping of Criteria Subintervals into Single Intervals) is integrated to determine the optimal aircraft type. The model simulated for a case of Turkish Airline company. Sensitivity tests justify robustness of the model. Results show that among the four options, medium-scale highqualified but not luxury aircraft is the best option

A NEW LOGARITHM METHODOLOGY OF ADDITIVE WEIGHTS (LMAW) FOR MULTI-CRITERIA DECISION-MAKING: APPLICATION IN LOGISTICS

Logistics management has been playing a significant role in ensuring competitive growth of industries and nations. This study proposes a new Multi-Criteria Decision-making (MCDM) framework for evaluating operational efficiency of logistics service provider (LSP). We present a case study of comparative analysis of six leading LSPs in India using our proposed framework. We consider three operational metrics such as annual overhead expense (OE), annual fuel consumption (FC) and cost of delay (CoD, two qualitative indicators such as innovativeness (IN) which basically indicates process innovation and average customer rating (CR)and one outcome variable such as turnover (TO) as the criteria for comparative analysis. The result shows that the final ranking is a combined effect of all criteria. However, it is evident that IN largely influences the ranking. We carry out a comparative analysis of the results obtained from our proposed method with that derived by using existing established frameworks. We find that our method provides consistent results; it is more stable and does not suffer from rank reversal problem