Weighted Decision Matrix Research Articles

Design and Analysis of Structural Members of the Jib Crane

This study has been undertaken to investigate and estimate design needs and propose optimum solution for lifting facility, and detailed calculation for lifting facility at Water Treatment Plant. Prior to decide optimum solution for the problem, evaluation of design concept has been done through various steps. Function decomposition and identification of individual function of the each subsystem, internal and external search for creating solution domain, next, best optimum solution has been selected via logical approach which was pairwise comparison and weighted decision matrix, and detailed calculation is performed as final step of the research.

Multi-criteria decision-making method for evaluation of investment in enhanced geothermal systems projects

Deep geothermal energy presents large untapped renewable energy potential could significantly contribute to global energy needs. However, developing geothermal projects involves uncertainties regarding adequate geothermal brine extraction and huge costs related to preparation phases and consequently drilling and stimulation activities. Therefore, evaluating utilization alternatives of such projects is a complex decision-making problem effectively addressed using multi-criteria decision-making (MCDM) methods. This study introduces the MCDM method utilizing analytic hierarchy process (AHP) and weighted decision matrix (WDM) to assess different utilization alternatives (electricity generation, direct heat use and cogeneration). The AHP method determines the weight of each criterion and sub-criterion, while the WDM calculates the final project grade. Five criteria groups - technological, geological, economic, societal and environmental – comprising twenty-eight influencing factors were selected and used for the assessment of investment in Enhanced Geothermal Systems (EGS) projects. The AHP-WDM method was used by 38 experts from six categories: industry, educational institution, research and technology organization (RTO), small- and medium-sized enterprises (SME), local community and other. These diverse expert inputs aimed to capture varying perspectives and knowledge influence investment decisions in geothermal energy. The results were analysed accordingly. The results underscore the importance of incorporating different viewpoints to develop robust, credible, and effective investment strategies for EGS projects. Therefore, this method will contribute to more efficient EGS project development, enabling thus a greater penetration of the EGS into the market. Additionally, the proposed AHP-WDM method was implemented for a case study examining two locations. Locations were assessed and compared on scenario-based evaluation. The results confirmed the method's adequacy for assessing various end uses and comparing project feasibility across different locations.

A Framework of Hybrid Method for Developing Optimal Sustainable Product Strategies and Sustainable Product Roadmap

The success of sustainable product strategies is widely recognized as pivotal to the successful development of sustainable products. Despite some existing research on sustainable product strategies, there is a notable lack of investigation into the tools necessary for their effective development. To address this gap, our study aims to (1) introduce a methodological framework that systematically shapes sustainable product strategy, incorporating key technologies like a Sustainable Product Strategies Focus Group (SPSFG), Brainstorming, Weighted Decision Matrix (WDM), and Genetic Algorithm (GA); (2) demonstrate the practical application of this framework through the example of 3C products; and (3) contribute theoretically by proposing a tool for creating sustainable product strategies that integrates management principles, providing a practical guide for the development of control systems and tools. This study also maps out implications for the future of sustainable 3C products. The development of optimal sustainable product strategies across various sectors requires a comprehensive hybrid approach. This method combines diverse methodologies to create a robust framework addressing unique challenges in health systems, education, environment, industry, agriculture, energy, and resource management. Leveraging quantitative analysis, qualitative assessment, and systems thinking, the hybrid approach provides a nuanced understanding of interdependencies within these sectors. Integrating data-driven insights and qualitative considerations facilitates sustainable strategies, optimizing resource utilization for long-term environmental, social, and economic benefits. This holistic methodology enables a more effective response to interconnected challenges in health systems, education, environmental preservation, industry, agriculture, energy, and resource management, promoting a more sustainable future.

Adaptation and Creation of Psycho-Opera Scripts Based on Emotional Calculation - An Example from Verdi’s Opera Macbeth

Abstract This study effectively associates the evaluation object tree with attribute nodes by constructing an innovative tree-structured emotion dictionary. Utilizing the TF-IDF algorithm, this paper meticulously classifies the emotional features in opera librettos and adds a list of inspirational word nodes. Further, a basic framework of weighted decision matrix is designed, and the data in the emotion score matrix is normalized by Softmax method, to derive the weight allocation coefficients, according to which the results of weight coefficient allocation of the opera libretto are calculated. In particular, for the adaptation of the famous opera Macbeth, this paper proposes three significant principles to ensure that the emotional Expression of the libretto matches the creative intent. The adapted libretto was subjected to emotion calculation and effect analysis, and the empirical study showed that in the first six minutes of the adaptation, there were two periods characterized by extremely significant emotional tension, in which the emotional tension exceeded 7.5 points in both cases. In the specific dynamic analysis, about 60% of the probability emotional value of clip 2 is located in the first quadrant, which coincides with the expected creative goal. In the correlation analysis of the script adaptation, the correlation between emotional attachment and the audience’s willingness to watch the play is as high as 0.8963, indicating that the adaptation is effective. This study not only innovates the method of emotion analysis of opera libretto in theory, but also provides practical guidance for opera libretto adaptation in practice, which helps to enhance the artistic infectivity of opera works and the audience’s viewing experience.

Flow Simulation Study on Bed Bath for Bedridden Patient

Easy tasks such as showering or bathing independently are impossible for a bedridden individual. This paper presents a comprehensive study on designing an easy shower specifically tailored for bedridden patients. The challenges bedridden individuals face in maintaining personal hygiene are highlighted, emphasizing the importance of a suitable bathing system to enhance their quality of life. The proposed design aims to address these challenges and improve caregiving efficiency. The chosen methodology involves a weighted decision matrix to select the optimal design, followed by flow simulation using SolidWorks Flow Simulation software to evaluate its performance. The paper's objectives include designing an efficient easy shower model, assessing its performance via simulation, and analyzing the impact of various velocity settings on its functionality. Three design concepts were proposed, with Design A selected as the optimal choice due to its lightweight, high water capacity, ease of handling, and low production cost. Modifications were made to enhance its water pressure efficiency. The simulation encompassed different velocity settings, with flow trajectories analyzed within the tank and at the water outlet. These boundary conditions included analysis type (internal), fluids (water), default wall thermal condition (adiabatic wall), pressure (101325 Pa), temperature (293.2 K), and velocity in the Y direction (5 m/s for water inlet and 0.5 m/s for water outlet). In the first simulation, all the results obtained were within the specified velocity range of 0.5 m/s, 2 m/s, and 5 m/s. The analysis of flow trajectories revealed distinct flow patterns and velocities for different velocity values, indicating stable and controlled environments within the tank and efficient water discharge through the outlet in Design A. However, errors were observed in the water outlet simulation due to the presence of vortices, which impacted the results. Recommendations were made to address these challenges, such as modifying the design to eliminate or minimize vortex effects. In conclusion, this study contributes to the well-being of bedridden patients by proposing an improved bathing mechanism, enhancing caregiving efficiency, and offering insights into design optimization and simulation challenges. The proposed design could have a significant positive impact on the lives of bedridden patients and caregivers.

DECISION ANALYSIS FOR OPTIMAL CONCEPTUAL DESIGN OF CONCURRENT BRAKE ACTUATOR

Enhanced capabilities and customization in designs demand a thorough conceptual design phase for products or equipment. To ensure favorable outcomes, a comprehensive analysis of multiple design concepts is vital. This paper aims to conduct a decision analysis to determine the most suitable design for a concurrent brake actuator (CBA) among a range of alternative design concepts. It presents the development of the conceptual design of the CBA mechanism, which serves as a foundational mechanism design for future CBA development. Four mechanism design concepts were generated by utilizing the expanding curvature contour design, linear contour design, tilted position linear slope, and the nonlinear radius profile of the cam roller. The assessment of potential failures in the CBA concept design was performed by employing the risk priority number (RPN) within the framework of Design Failure Mode and Effects Analysis (DFMEA). The data obtained from DFMEA was utilized to conduct thorough analyses of motion and stress performance for each conceptual design using commercial software. Subsequently, the most optimal concept design for the CBA was chosen. This decision was reached by selecting the CBA concept design that achieved the highest score during the evaluation process, which employed a weighted decision matrix. According to the findings, the optimal CBA concept design was determined to be CBA Design B with the highest total score of 102 based on an RPN score is 32 and maximum stress of 3.647 x 104 N/m2. Its expanding linear contour design effectively distributes nonlinear brake force while minimizing failure risk, forming the foundational framework for future CBA development.

Rocket launching site selection in Ethiopia using Weight Decision Matrix analysis

The term rocket launch site is used in any facility from which rockets are launched and contains one or more launch pads. Development in Space Science and Technology is a critical issue for any country it is a guarantee for security and sustainable development. Research is taking place on sounding rockets, micro, nano and can-type satellite technologies that require huge foreign currencies to launch overseas. The purpose of this research paper is to determine specific rocket launching sites in Ethiopia. The weighted decision matrix is used as a tool to analyze valued criteria and to rank the alternatives. In the first phase, the whole regions are analyzed and three regions are selected, which are located at 6 o Latitude North and 41 o Longitude East. Similarly, in the second phase, the weighted decision matrix tool is applied to three selected regions at Woreda (Districts) and Kebele (Cluster) level. The selected sites are from Somali Warder Zone, identified as Boh 1 and 2 with a value of 231. In Oromia identified as Borena-1 with a value of 195 and the rest with lower value are rejected. A site map is prepared for the best sites selected. A spaceport is an important source of income for launching companies. There are opportunities of leasing to international launching operators for launching rockets and research rockets. It can also benefit African countries for rocket research related issues since no country in east Africa has their own functional launch site. Keywords : Economy, launching site, map of Ethiopia, rocket, selection criteria, WDM

Built On-orbit Robotically assembled Gigatruss (BORG): A mixed assembly architecture trade study.

This paper explores a mixed assembly architecture trade study for a Built On-orbit Robotically assembled Gigatruss (BORG). Robotic in-space assembly (ISA) and servicing is a crucial field to expand endeavors in space. Currently, large structures in space are commonly only deployable and must be efficiently folded and packed into a launch vehicle (LV) and then deployed perfectly for operational status to be achieved. To actualize being able to build increasingly large structures in space, this scheme becomes less feasible, being constrained by LV volume and mass requirements. ISA allows the use of multiple launches to create even larger structures. The common ISA proposals consist of either strut-by-strut or multiple deployable module construction methodologies. In this paper, a mixed assembly scheme is explored and a trade study is conducted on its possible advantages with respect to many phases of a mission: 1) manufacturing, 2) stowage and transport, 3) ISA, and 4) servicing. Finally, a weighted decision matrix was created to help compare the various advantages and disadvantages of different architectural schemes.

Tourism development in South Asia region: Challenges and opportunities

Tourism development in the South Asian region has gained a significant attention in recent years due to its potential to contribute in economic growth, poverty reduction and regional integration. However, this region faces several challenges including political instability, security concerns, insufficient infrastructure and limited coordination among stakeholders. The aim of this paper is to deliver an in-depth assessment of the challenges and opportunities for the progress of tourism industry in South Asia. This paper uses the SWOT model and a derived matrix for sustainable growth in the South Asia tourism industry. The data sources for the study are related literature reviews, field observations, interviews with professionals and questionnaires distributed to 100 international travelers. The internal strengths and weaknesses as well as external opportunities and threats of the country's tourism industry were identified , followed by strategic planning based on the SWOT matrix and weighted decision matrix. The findings concern the use of the SWOT technique as a research method and an evaluation of South Asia's tourism potential. The findings of the analysis reveal that, tourism development strategies have to implement includes promoting travel as a driver of economic expansion and job creation, establishing public-private partnerships and integrated marketing campaigns , collaborating on human resource development, improving the quality of facilities and infrastructure, promoting places of interest on a continuous national and international scale, as well as developing various tourist attraction products with the participation of independent contractors, small-scale tourism service providers. Overall, this study can provide valuable insights into the region's potential for growth and collaboration, helping to promote economic development and cultural exchange across the region.

Hybrid Outlier Detection Strategy and Weighted Decision Matrix Ordinal Classifier for CKD Severity Prediction

Hybrid Outlier Detection Strategy and Weighted Decision Matrix Ordinal Classifier for CKD Severity Prediction

AN AUTONOMOUS BRAKING CONTROL SYSTEM FOR A 2017 YAMAHA GRIZZLY 700

Weed control is an important issue for environmental protection all around the world. Traditional hand weed control is laborious whereas chemical control is costly and a threat to the atmosphere. A chemical patch weed control system is an optimized system but lacks cheap technical equipment. This research outlines a design process and test of a braking system that can be applied during the designing of an autonomous braking system for a 2017 Yamaha Grizzly 700. The system is intended to be used as an autonomous weed chemical spraying. A bolt-on approach that did not require any manipulation of the stock, an internal braking system was followed to reduce the complexity and installation time of multiple systems. Three different types of autonomous braking system solutions were initially investigated, with the linear actuator solution being decided on through the assistance of a weighted decision matrix. The system was designed around a 30 kg hand force; however, a spare actuator of approximately 20 kg of force was repurposed and used instead. Finite element analysis concluded that all major components within the proposed system were suitable for a lifetime of at least 1,000,000 cycles with a mild steel yield stress failure criterion of 370 MPa. A stationary test for the system was conducted to determine the success of the system, which pushed the brake lever approximately 25% of its disengaged handlebar to lever length. The resulting system met the requirements of the expectation and could be used to apply the ATV’s brakes autonomously while retracting the gear interlocking mechanism enough to change gears.

Improving the Computational Process for Identifying Optimal Design Using Fuzzified Decision Models

Concept selection in design is an important aspect of design process that must be done properly with the right tools. The identification of optimal design is presented in this article by integrating three Multicriteria decision making models which are fuzzified pairwise comparison matrices, fuzzified weighted decision matrix and fuzzy VIKOR. Rather than depending solely on design expert’s view to determine weights of the design features, the pairwise comparison matrices determines the weights of design features and sub features in the decision process. The weighted decision matrix aggregates scores for the alternative designs considering the availability of sub features in them. The aggregated scores form the elements of the main decision matrix together with the weights of the design features and the Fuzzy VIKOR model determines the performance index of the design concepts. The hybridized model was validated using four conceptual designs of liquid spraying machines and the results obtained shows that the model provides computational integrity in decision making process.

Ranking the ontology development methodologies using the weighted decision matrix

PurposeThe current work provides a framework for the ranking of ontology development methodologies (ODMs).Design/methodology/approachThe framework is a step-by-step approach reinforced by an array of ranking features and a quantitative tool, weighted decision matrix. An extensive literature investigation revealed a set of aspects that regulate ODMs. The aspects and existing state-of-the-art estimates facilitated in extracting the features. To determine weight to each of the features, an online survey was implemented to secure evidence from the Semantic Web community. To demonstrate the framework, the authors perform a pilot study, where a collection of domain ODMs, reported in 2000–2019, is used.FindingsState-of-the-art research revealed that ODMs have been accumulated, surveyed and assessed to prescribe the best probable ODM for ontology development. But none of the prevailing studies provide a ranking mechanism for ODMs. The recommended framework overcomes this limitation and gives a systematic and uniform way of ranking the ODMs. The pilot study yielded NeOn as the top-ranked ODM in the recent two decades.Originality/valueThere is no work in the literature that has investigated ranking the ODMs. Hence, this is a first of its kind work in the area of ODM research. The framework supports identifying the topmost ODMs from the literature possessing a substantial amount of features for ontology development. It also enables the selection of the best possible ODM for the ontology development.

Quantitative evaluation of landscape architecture environmental benefits based on multi-criteria decision-making

Aiming at the problems of large spatial accuracy error and long evaluation time in the quantitative evaluation of environmental benefits of landscape architecture, a new research method for quantitative evaluation of environmental benefits of landscape architecture is proposed. The grey relational analysis method is used to calculate the weights of environmental benefit evaluation indexes and establish an evaluation index system. The multi-dimensional decision-making method is applied to the construction of the environmental benefit decision matrix. After the index weights are clarified, the weighted decision matrix is established to calculate the distance of the standard solutions of different environmental benefit evaluation indexes to obtain the quantitative assessment results of environmental benefits. Comparative experiments show that the spatial accuracy error is no more than 4%, the change curve of the environmental benefit evaluation index is relatively close to the average change curve, and the benefit evaluation time is less than 2 s.

Decision-making method based on game theory and grey theory in a single-value neutrosophic environment and its application to typhoon disaster assessment

PurposeThe Chinese believe that “man will conquer the sky” and “fighting with the sky brings endless joy”. Considering that disaster assessment can be regarded as a two-person, zero-sum game problem between nature and human beings, this paper proposes a multi-attribute decision-making method based on game theory and grey theory in a single-value neutrosophic set environment. Due to the complexity and uncertainty of the decision-making environment, the method builds a decision matrix based on single-valued neutrosophic numbers.Design/methodology/approachFirst, the authors use the single-value neutrosophic information entropy to calculate the attribute weights and the weighted decision matrix. Second, the optimal mixed strategy method based on linear programming solves the optimal mixed strategy for both sides of the game so that the expected payoff matrix can be obtained. Finally, grey correlation analysis is used to obtain the closeness coefficient of each alternative based on the expectation payoff matrix to identify the ranking result of the alternative.FindingsAn example is used to verify the effectiveness of the proposed method, and its rationality is verified through a comprehensive comparison and analysis of the various aspects.Practical implicationsThe proposed decision-making method can be applied to typhoon disaster assessment. Such assessment results can provide intelligent decision support to the relevant disaster management departments, thereby reducing the negative impact of typhoon disasters on society, stabilizing society and improving people's happiness. Further, the method can be used for decision-making, recommendation and evaluation in other fields.Originality/valueThe proposed method uses single-value neutrosophic numbers to solve the information representation problem of decision-making in a complex environment. Under a new perspective, game theory is used to handle the decision matrix, while grey relational analysis converts inexact numbers to exact numbers for comparison and sorting. Thus, the proposed method can be used to make reasonable decisions while preserving information to the extent possible.

Conceptual Design of a Bike Towing Trailer with Smart Towing Trailer

The roads in the rural places are narrow and bumpy. Hence, big vehicle such as a car, truck, and lorry have no access to the narrow roads. Therefore, most of the villagers choose light vehicles such as bicycles and motorcycles as the primary transportation method to deliver goods using a towing trailer. The towing trailer found in the many of the rural areas are very traditional and inconvenient. This paper focuses on the conceptual design of a smart bike towing trailer equipped with the multipurpose towing based on customer requirements. A total of 5 conceptual design is produced. The Pugh selection chart and weighted decision matrix is used and it is found that the conceptual concept 4 has the best design. A 3D detailed modelling of the concept 4 is developed for future testing and analysis of the design prior to fabrication.

Conceptual design for smart organic waste recycling system

Composting can reduce the disposition of food waste, but it is a complex and time-consuming process. In order to shorten the processing time of composting, designing a machine that can provide the optimum condition for the decomposition of food material is needed. This paper presents the development of conceptual design for a smart organic waste recycling system. Customer requirements is identified and translated as engineering characteristics. A total of 5 conceptual design is generated. From the Pugh selection chart and weighted decision matrix, the conceptual concept 1 is selected.

Conceptual design of a solar powered agriculture irrigation system for rural farming

Based on the geographical profile of Wang Kelian, Perlis, farmers are having trouble is distributing resources due to land elevation. In the present work, an automated solar powered agriculture irrigation system is proposed as a solution for the farmers to manage their farms efficiently. To provide a viable solution in designing the proposed system, a series of procedures have been employed. A survey was conducted in order to identify the customer requirement. The respondent requirements data were extracted to match with the scientific view to design the system. The data from the respondent was then linked to respond to the product characteristic by decomposing the function of the irrigation system. Herein, four conceptual designs were finalised by cross-linking the part selection through the morphological chart. Among these designs, the final agriculture irrigation system was being selected by evaluating and scoring the weight factor by using a weighted-decision matrix. As a result, a fully automated conceptual design (Concept 1) was selected as the best design as the highest score of 3.96 was recorded.

Optimum and Sustainable Cooling Technology Selection for Different Climatic Conditions

Global warming has led to rising electricity demands due to soaring cooling load, resulting in different technologies being implemented with renewable energy options. Renewable energy has been used to partially or fully operate these cooing systems through different technology routes in both conventional and hybrid modes. The feasibility of a particular cooling process is influenced by several technological, economic, environmental and other related factors. Selection of the appropriate route also requires consideration of external factors such as local weather, cooling load requirements and the potential of possible renewable energy. Multi-criteria decision analysis is a useful tool to systematically arrive at the right option from several possible options. This tool is used to assess the feasibility of eight technology routes for three different climatic conditions. Other than the direct cooling processes, two routes of renewable energy utilization, namely, the solar photovoltaic system and solar thermal system, are considered. The normalized decision matrix is established and weighted decision matrix is estimated, and the best solution and the worst solution values are obtained by using equations. This study is performed for three climatic zones under the Koppen classification, namely, the tropical maritime arid condition with average midday temperature from 40 to 45 °C, with two different relative humidity ranges, namely, dry area and maritime area. Additionally, the temperate continental climatic zone is analyzed for comparison. The results of this study will help decision makers to judiciously implement air conditioning systems in the above climatic zones. The distance of each waste treatment strategy from the overall best alternative treatment strategy and the overall worst alternative treatment strategy is obtained. Finally, the cooling strategies are ranked for the best option for the cooling mechanism to be adopted for the three climatic conditions.

Evaluation method of path selection for smart supply chain innovation

The smart supply chain innovation (SSCI) has become the key way for enterprises to enhance their competitiveness. Therefore, it is very important for the current supply chain enterprises to choose a reasonable innovation path. Through the literature review method, this paper summarizes the four main evaluation indicators of path selection for smart supply chain innovation, which are technical indicators, organizational environment indicators, operational efficiency indicators, risk prevention and control indicators. According to the characteristics of evaluation index, the improved Fuzzy Entropy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is proposed. This method considers the situation that the original data contains both interval value and fixed value data. Firstly, the standardized decision matrix is constructed, and then the optimal index weight is established by Fuzzy Entropy method. Secondly, this paper calculates the weighted decision matrix by using the method of sub item weighting of hierarchical indicators. Finally, the improved TOPSIS method is used to determine the relative closeness of each scheme. According to the weighted decision matrix, the innovation path index of the smart supply chain (SSC) is further calculated. We use the actual case of a company to analyze the evaluation method for three different SSCI paths. This paper provides a reference for the path selection of SSCI from the aspects of theory and practice.