Expert Choice Research Articles

Analysis of the Selection of Suppliers of Loading and Transportation Equipment in Mining SMEs

Small- and medium-sized enterprise (SME) mining firms contribute to Chile’s economy. However, more support is needed to improve decision-making, mainly in a context where it is necessary for mining to operate sustainably. Loading and transportation are essential unit operations in mining. Solution-focused supplier companies are joining the market, making selection more difficult. This study suggests a hierarchical analytical process-based multi-criteria analysis. Among what stands out are its simplicity and clarity. The Analytic Hierarchy Process (AHP), used in several fields, is a flexible multi-criteria analysis system for complex decision-making. Its development used Expert Choice® software. The results show that the most crucial criterion for selecting loading and transportation equipment suppliers is related to occupational safety and health. The most relevant components are the mortality, accident frequency, and severity rates. Operational indicators are the second most relevant criterion, enabling companies to be more productive and efficient in achieving their objectives. Sensitivity analysis demonstrates that, even with variations in the criterion preferences, the fatality rate remains at the top of the hierarchy, showing the robustness of the model used. Contrary to what might be expected, criteria such as the supplier profile do not stand out among the critical factors for the sector.

Assessing and Prioritizing Perceived Service Quality in Healthcare Settings in Nepal: A Multi-Criteria Decision Analysis Using Analytical Hierarchy Process (AHP)

This study uses the Analytical Hierarchy Process (AHP) to compare and assess different private healthcare facilities in Nepal according to perceived service quality. For methodology, first, the criteria for the study were established and rated. Then sensitivity analysis was carried out to evaluate the decision using AHP to rank healthcare according to the characteristics of service quality and the relative positions. The data were collected from eleven hospitals in Kathmandu, Nepal. SERVQUAL dimensions were used in order to comprehend the Perceived Service Quality. The analytical procedure was carried out using Expert Choice software. The study shows that Private Teaching Hospitals have the highest Perceived Service Quality among patients, followed by Public Teaching Hospitals and that patients value tangibility over other service aspects. The study provides insights into the characteristics of service quality in Nepalese hospitals. The findings help healthcare managers to understand the factors that patients consider important to improve service quality.

COVID-19 pandemic and food security: Strategic agricultural budget allocation in Indonesia

The COVID-19 pandemic has exposed significant vulnerabilities in Indonesia's food security, highlighting the need for more strategic agricultural budget allocation. This study addresses the issue of inadequate budgeting techniques that fail to effectively support food production and distribution during crises. The primary objective is to develop a tailored framework that optimises budget allocations to strengthen Indonesia's food security in the face of socio-economic and geographical challenges. Using a multi-dimensional research approach, the study involves key stakeholders from the Ministry of Agriculture, the Ministry of Finance, and the Ministry of National Development Planning, employing methods such as in-depth interviews, focus group discussions, and data collection from primary and secondary sources. The research utilises the Analytical Hierarchy Process (AHP) with the Expert Choice 2000 program to systematically evaluate decision-making options. Findings reveal the necessity of a resilient framework that balances short-term emergency responses with long-term strategies, focusing on increasing production capacity, improving seed quality, expanding land availability, and adopting advanced agricultural technologies. The study contributes to the policy landscape by offering a structured agricultural budgeting framework and policy recommendations aimed at mitigating disruptions, enhancing productivity, and supporting sustainable agricultural practices. It also emphasizes the importance of sensitivity analysis in budget planning to inform strategic decisions. The study recommended targeted investments in production capacity, a reevaluation of rice import regulations, and the adoption of innovative technologies to ensure a resilient and sustainable food system in Indonesia.

Investigating dominant factors of coliform contamination in shallow groundwater: A logistic regression and AHP approach

Shallow groundwater is a crucial source of clean water in developing countries like Indonesia. However, population growth has led to declining water quality due to inadequate infrastructure. This study aimed to identify dominant factors contributing to coliform contamination in shallow groundwater, addressing the lack of detailed statistical and multicriteria analyses in previous large-scale studies. The study was conducted in a densely populated urban area in Yogyakarta, Indonesia, and total coliform measurements from 42 groundwater samples were used as the independent variable. There are 14 dependent variables, categorized into three aspects: infrastructure (e.g., well type, well depth, wall of well, DEWATS type, well distance to the septic tank, latrine, and other contaminant sources); specific (e.g., population density and land use); and intrinsic (e.g., groundwater level, rainfall, soil type, and slope). Those parameters were statistically analyzed using logistic regression with IBM SPSS 26 software, and supported by the Analytical Hierarchy Process (AHP) that was employed using Expert Choice software to prioritize the factors. The results showed that 83.3% of the shallow groundwater samples exceeded the acceptable limits for total coliform, with key factors including well's proximity to other contamination sources, slope, distance from septic tanks, groundwater level, and population density. These findings highlight the importance of considering complex environmental factors in managing groundwater quality, particularly in developing countries. It is recommended that local authorities implement stricter regulations and infrastructure improvements to mitigate contamination risks.

Determining the Suitable Location of Constructed Wetland for the Polluted River Water Treatment Based on Analytical Hierarchy Process and Geographic Information System Analysis

The Tukad Badung River is a vital raw water source in Denpasar City and Badung Regency. Concerning the water pollution of the river, water treatment is necessary to manage the water quality. Constructed wetlands are a water treatment technology used for water purification. In this regard, information is essential regarding the appropriate location for the placement of the constructed wetland based on criteria related to the water treatment plant. The research was conducted to determine the suitability level of water treatment locations in the watershed using the Analytic Hierarchy Process method in integration with a Geographic Information System. The Geographic Information System analysis included overlaying steps of the processed and classified data from each criterion: land use, slope, and water pollution index. The Analytic Hierarchy Process method was carried out to obtain the weight of each criterion down to the sub-criteria, which were compiled through interviews with three informants from academic, government, and community representatives. Weight calculations were performed using Expert Choice 11 software to obtain weight values with a consistency ratio of < 0.1. Geographic Information System analysis using the Analytic Hierarchy Process method produces three suitable land types according to the level of suitability for water treatment locations, with constructed wetlands located in the upstream, middle, and downstream parts of the river. Information regarding suitable land is useful for planning the technical design of water treatment plants with constructed wetlands.

Application of Geographic Information System (GIS), for Crisis Management

Natural disasters have always existed as a natural phenomenon throughout the life of the earth. The occurrence of natural disasters such as floods, earthquakes, storms, etc. in most cases have destructive effects on human settlements and heavy casualties on their residents. It has destroyed the buildings and infrastructures of such areas and imposed unfortunate economic and social consequences on cities and countries. Despite many scientific advances, mankind is still not able to prevent and resist these natural events. Natural disaster management and sustainable development are considered an integrated issue today. Due to limited resources, real development will not be possible without integration with disaster reduction programs. Earthquakes as a natural phenomenon do not have adverse results by themselves. What makes this phenomenon a disaster is the lack of prevention and lack of preparation to deal with its consequences. Therefore, one of the most necessary measures is to apply "principles of crisis management". Crisis management measures can be summarized in three parts: 1. Prevention, 2. Response, and 3. Reconstruction. Therefore, the title is the most important discussion in the strategy of reducing the effects of earthquakes. In this research, we seek to find the best location for crisis management support bases in Malair City, which first identified the effective factors and criteria in the location of relief centers during a crisis. Then, the AHP model was used to determine the importance and value of each criterion and effective elements in the decision, and a questionnaire was designed and distributed among experts and specialists. In the next step, the weight of each of the decision criteria and elements was determined using the hierarchical analysis process method and Expert Choice software. Then, using the field method, figures of the studied area were updated and prepared. In the next step, all information layers were converted to raster in the geographic information system (GIS). Finally, using the Index overlay method, the layers were combined. Three locations were suggested as the best locations for crisis management support bases in Malayer City. Among them, two options, one in the eastern part of the city on Molvi Street, and the other in the southern part of the city on Motahari Street, have been proposed as the best options. In terms of accessibility, they are in a good position. An option, that has a lower score, is located in the southeastern part of the city on Sheikh Kilini Street.

The Development ofanAssessment Tool forSuccessful Product Development Based On DFMA andAHP Approach: Automotive Industry Case Study

Successful product development is critical in the automotive industry, offering benefits such as optimisedmanufacturing, reduced costs, and faster market entry. Despite available tools, the complexity of design resources makes the process challenging. This study aimed to develop an assessment tool for evaluating successful product design in the automotive sector, starting with identifying success criteria from reputable research. Expert Choice software was employed to analysethe significance and weightage of the identified criteria. As a result, there are 19 criteria were prioritisedacross four key categories. The requirements such as product design, cost-effectiveness, safety, and environment. Notably, the most crucial criteria identified were recyclable materials (0.139), end-of-lifecycle considerations (0.118), and sustainable manufacturing (0.108984), while the least important were standardisation(0.0155), cabin ergonomics (0.022), and fire safety (0.0158). The resulting assessment tool, validated by four industry and academic experts, showed promise in helping practitioners self-evaluate successful product design within the automotive industry.

Evaluating Large Language Models for Material Selection

Abstract Material selection is a crucial step in conceptual design due to its significant impact on the functionality, aesthetics, manufacturability, and sustainability impact of the final product. This study investigates the use of Large Language Models (LLMs) for material selection in the product design process and compares the performance of LLMs against expert choices for various design scenarios. By collecting a dataset of expert material preferences, the study provides a basis for evaluating how well LLMs can align with expert recommendations through prompt engineering and hyperparameter tuning. The divergence between LLM and expert recommendations is measured across different model configurations, prompt strategies, and temperature settings. This approach allows for a detailed analysis of factors influencing the LLMs' effectiveness in recommending materials. The results from this study highlight two failure modes, and identify parallel prompting as a useful prompt-engineering method when using LLMs for material selection. The findings further suggest that, while LLMs can provide valuable assistance, their recommendations often vary significantly from those of human experts. This discrepancy underscores the need for further research into how LLMs can be better tailored to replicate expert decision-making in material selection. This work contributes to the growing body of knowledge on how LLMs can be integrated into the design process, offering insights into their current limitations and potential for future improvements.

IMPLEMENTASI PERANCANGAN INTEGRASI SWOT BALANCED SCORECARD DALAM PENILAIAN KINERJA BISNIS PAKAN KELINCI PADA RABBIT BROTHERS DI KABUPATEN BANDUNG

Rabbit Brothers is one of the rabbit breeders established in 2017 located in West Java, West Bandung Regency. Rabbit Brothers rabbit feed sales in 2023 fluctuated. The tighter the competition, the company needs to determine strategies in business management to determine the company's current performance. The purpose of this study is to describe the strategy based on SWOT analysis, design a Rabbit Brothers rabbit feed strategy map based on SWOT Balanced Scorecard integration, performance measurement and performance assessment of Rabbit Brothers rabbit feed based on SWOT Balanced Scorecard integration, and improve Rabbit Brothers rabbit feed business performance based on SWOT Balanced Scorecard integration. The methods in this research are SWOT Analysis, Balanced Scorecard, Analytical Hierarchy Process Software Expert Choice, and Key Performance Indicator Lead Indicator. Rabbit Brothers rabbit feed strategy and strategy map, one of which is increasing profits, Rabbit Brothers rabbit feed performance is 93.04%, meaning that the company's performance is in a very healthy condition with the category (AAA). The performance of the four performance perspectives that are not optimal is improved on strategic initiatives, one of which is the content creation program.

ANALISIS KINERJA RANTAI PASOK PADA PROSES SOURCE, TRANSFORM, DAN FULFILL DENGAN METODE SCOR DAN AHP PADA TELKOM WITEL BANDUNG

Telkom Witel Bandung is a telecommunications and networking service provider serving the Telkom Bandung area. The company has experienced staff reductions and organizational changes following the transformation to B2B services, which have impacted the execution of High Speed Internet (HSI) projects. Performance measurement of the supply chain was conducted using the Supply Chain Operation Reference (SCOR) and Analytical Hierarchy Process (AHP) methods. The evaluation focused on three core processes: source, transform, and fulfill. Performance indicators were derived from KPI validation by employees and managers at Telkom Witel Bandung, resulting in 26 selected indicators with attributes including reliability, responsiveness, agility, cost, profit, and environmental. Indicator weighting was performed using AHP with Expert Choice 11. Analysis of normalized actual data revealed that five indicators with scores below 90 (Excellent) require improvement. The total performance score of 117.461 indicates that Telkom Witel Bandung’s performance is classified as very good.

Pengukuran Kinerja Industri Kelapa Sawit Menggunakan Metode Balanced Scorecard dan Proses Hirarki Analitis

<p><strong>Palm oil plantations are one of the agricultural commodities in Indonesia that play a crucial role in food availability and the economy. This research employs the Balanced Scorecard (BSC) model as an integrated performance measurement system. The BSC measures company performance from both financial and non-financial perspectives. The study aims to measure the performance of the palm oil industry at PT. KMP Masamba, and covers four perspectives</strong><strong> </strong><strong>namely</strong><strong> financial, customer, internal business, and learning and growth. The weighting of performance measurement elements is done using the analytical hierarchy process with the assistance of Expert Choice software. The results are expected to assist PT. KMP Masamba in determining necessary improvement priorities. The performance measurements from each perspective, ranked from highest to lowest, are as follows: customer perspective (0.148), internal business perspective (0.048), learning and growth perspective (0.047), and financial perspective (0.030). The overall company performance score is 0.543, indicating satisfactory performance and approaching high targets. Based on these conclusions, recommendations for this research include periodic performance measurement by the company to assess its comprehensive condition and improve functional activities with low performance, to improve their performance indicators.</strong></p><p><strong><em>Keywords</em></strong> - <em>Analytical Hierarchy Process, Balance Scorecard,</em> <em>The Performance Measurements. </em><em></em></p>

Determining and Prioritizing the Technical Needs of New Graduates with Bachelor of Science in Anesthesia: Analytical Hierarchy Process (AHP)

Introduction: Determining and analyzing educational needs is a crucial aspect of curriculum development, especially when planning is based on duties and competencies. This study aims to identify and prioritize the technical needs of new graduates with Bachelor of Science in Anesthesia program at Paramedical School of Kashan University of Medical Sciences in 2022. Methods: This cross-sectional study was conducted based on needs assessment in two stages. The first stage involves identifying and prioritizing skill needs across six areas: professional communication, preparation and use of drugs, preparation and use of equipment, patient control and evaluation, safety and risk prevention, and management and patient care. This assessment was carried out with a focus group comprising two groups of faculty anesthesiologists and anesthesia faculty members and a group bachelor of science in anesthesia graduates from teaching hospitals in Kashan city. The Analytical Hierarchy Process (AHP) technique was utilized, and a researcher-designed questionnaire was employed to collect data. In the second stage, this questionnaire was distributed to 29 selected anesthesiology graduates, who were chosen using a purposeful sampling method. The data were then analyzed using SPSS (version 26). First, the mean and standardized mean of each item within the six domains were calculated. Next, the desired needs were prioritized based on the suggested scores from each of the three studied groups. The importance of each domain under study was determined using the AHP technique and Expert Choice software. Results: According to the final results of the AHP, the priority of technical needs has been established based on the opinions of the three studied groups. The domains are ranked as follows: 1) management and patient care, 2) preparation and use of drugs, 3) patient control and evaluation, 4) preparation and use of equipment, and 5) professional communication. The domain of safety and risk prevention received the lowest priority, coming in at sixth place. Conclusion: The domains of management and patient care, and the preparation and use of drugs were identified as having the highest priority based on the findings of the needs assessment. Recognizing that the determination and analysis of educational needs can enhance the performance of graduates and improve the quality of anesthesia care and patient services, it is essential to focus more on implementing educational programs related to these domains.

Developing an analytic hierarchical process-based tool for assessing sustainability in public schools: a developing country context

ABSTRACT Sustainability and the seventeen sustainable development goals (17SDGs) are gaining increasing importance in different contexts in the globe. Among them are SGD 4 (Quality Education), SDG 6 (Clean Water and Sanitation), SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action) and SDG 15 (Life on Land). To promote these goals, this study aims to develop a reliable tool to assess the economic, environmental and social sustainability in public schools in Palestine, based on the analytic hierarchical process (AHP) approach. To this end, primary data were collected from a random sample of 70 schools via personally administered questionnaires answered by school principals. A school sustainably assessment tool (SSA-tool) was developed based on the analytic hierarchical process (AHP) results using Expert Choice 11 software. The AHP results revealed that environmental, economic and social sustainability weights are 30.3%, 36.5% and 33.2%, respectively. Also, a comparison of the SSA-tool’s weights with other international rating systems, namely, LEED, CASBEE, BREEAM and GP-tool was conducted. To facilitate the use of the SSA-tool, an Excel template of the SSA-tool was developed and validated. The study concludes with recommending specific implementable actions in each sustainability dimension.

Human–computer interaction using artificial intelligence-based expert prioritization and neuro quantum fuzzy picture rough sets for identity management choices of non-fungible tokens in the Metaverse

Necessary improvements should be made to increase the effectiveness of non-fungible tokens on the Metaverse platform without having extra costs. For the purpose of handing this process more efficiently, there is a need to determine the most important factors for a more successful integration of non-fungible tokens into this platform. Accordingly, this study aims to determine the appropriate the identity management choices of non-fungible tokens in the Metaverse. There are three different stages in the proposed novel fuzzy decision-making model. The first stage includes prioritizing the expert choices with artificial intelligence-based decision-making methodology. Secondly, the criteria sets for managing non-fungible tokens are weighted by using Quantum picture fuzzy rough sets-based M-SWARA methodology. Finally, the identity management choices regarding non-fungible tokens in the Metaverse are ranked with Quantum picture fuzzy rough sets oriented VIKOR. The main contribution of this study is that artificial intelligence methodology is integrated to the fuzzy decision-making modelling to differentiate the experts. With the help of this situation, it can be possible to create clusters for the experts. Hence, the opinions of experts outside this group may be excluded from the scope. It has been determined that security must be ensured first to increase the use of non-fungible tokens on the Metaverse platform. Similarly, technological infrastructure must also be sufficient to achieve this objective. Moreover, biometrics for unique identification has the best ranking performance among the alternatives. Privacy with authentication plays also critical role for the effectiveness of this process.

Application of the analytical hierarchy process model in developing a decision support model for the selection of smart parking investors in the form of a public-private partnership in Da Nang city

This study develops a decision support model for the selection of smart parking investors in the form of public-private partnerships in Da Nang City based on an analysis hierarchy process model. The proposed model for selecting smart parking investors consists of three main criteria and 15 secondary criteria. The main criteria include ability-experience, technology, and finance-commerce. The proposed model was used to arrange the priority orders of four investors. The priority orders of four smart parking investors were also determined using Expert Choice software. The results from the Expert Choice software were consistent with those obtained by the proposed model. The proposed model and calculated results of the priority orders of smart parking investors are a scientific and reliable basis for owners to choose the best investor for smart parking in the form of public-private partnerships (PPP).

Pengukuran Kinerja Supply Chain Otak-Otak Bandeng Menggunakan Supply Chain Operation Reference (SCOR) dan Analytical Hierarchy Process (AHP)

The supply chain is one of the things that plays a role in business continuity. Not only in large-scale industries, a small and medium SME also needs to pay attention to the supply chain so that the business can develop and be sustainable. Supply chain performance measurement needs to be done to measure and evaluate supply chain performance that is currently ongoing. Supply chain operation reference and Analytical Hierarchy Process are used in creating performance measurement models. There are 29 validated Key peformance Indicators to create hierarchical models which are then normalized snorm de boer and AHP in determining weights with Expert choice 11. The measurement of supply chain performance in milkfish SMEs bu afifah obtained 64 meaning average or average with an indicator range between 50-70. In addition, the attribute that has the greatest influence weight is plan with a value of 0.302, then source with a value of 0.246, make with a value of 0.168, deliver with a value of 0.119, return with a value of 0.084 and enable with a value of 0.080

The Application of AHP on Selected 100 Islamic Economics and Finance Research

This study tries to review the application of research using the Analytic Network Process method in the theme of Islamic economics and finance. It uses descriptive statistical analysis based on selected 100 article publications. The entire sample publications have been published from 2008 to 2019. The results show that research using the AHP method is still dominated by discussing themes related to Islamic banks, the Halal industry, and Islamic social finance such as waqf, zakat, and Islamic microfinance. The countries with the most AHP case studies are Indonesia and Malaysia. Aam Slamet Rusydiana and Nurul Huda is the author who the most researched about AHP. The software most often used in the AHP method is expert choice. Islamic Bank Selection Criteria in Malaysia, An AHP Approach is the research that most often becomes a source of reference by other researchers.

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

Vendor selection techniques are very important to maintain supply chain services, optimal service creates strong consistency in maintaining the continuity of supply chain business processes. The aim of this research is to provide an objective and consistent understanding of the best techniques in vendor selection which are implemented openly through the collaboration of multi-criteria decision making-analytic hierarchy process (MCDM-AHP) and ELECTRE. Empirical studies show how this approach is able to provide optimal decision-making support for the vendor selection process. Eight criteria are required which have contradictory meanings in their apps. These criteria include quality of goods (QG), payment methods (PMs), payment terms (PTs), minimum transactions (MTs), discounts (DS), delivery times (DTs), inventory (IN), and service (SV). The comparison importance value of the criteria is used as a measure of weighting the criteria through two testing approaches, namely mathematical algebra matrices and expert choice apps, through accurately assessing the optimal eigenvector from the two test approaches. Decision making support was carried out by comparison using 342 preference matrices which were developed into concordance and discordance matrices, the elimination process with threshold matrices found that the ranking results of four vendors were ranked first as worthy of being a selection priority and fifteen other vendors were ranked below.

Downstream strategies of liquid smoke products as a preservative and smoke aroma in fishery products

Smoked fish is a fishery product that meets the nutritional needs of the population. The traditional smoking method leads to the production of H2S, which reduces the aroma and is carcinogenic. The liquid smoke technology offers a solution to the challenges associated with the application of traditional smoking methods. However, the use of the liquid smoke method remains limited in smoked fish businesses. This study aimed to evaluate and develop a downstream strategy for producing and distributing liquid smoke to facilitate its implementation by smoked fish businesses based on SWOT analysis. This study employed a quantitative descriptive methodology utilizing the strengths, weaknesses, opportunities, and threats (SWOT) analytical framework. The data were collected through interviews and questionnaires. The obtained data were subjected to weight calculations using the Expert Choice tool. The research findings indicate that the optimal approach for developing downstream liquid smoke products is to create a novel product in the form of liquid smoked fish. Liquid-smoked fish are immersed in or coated with liquid smoke to achieve an extended shelf life and smoky aroma, without traditional smoking methods. In addition, it establishes a strategic alliance between scholars, entrepreneurs, and the government. Strategic relationships can be established by developing a shared agenda focusing on fostering a sustainable blue economy. The blue economy refers to the use of hygienic, healthy, and non-carcinogenic fishing products such as smoked fish to promote sustainable economic growth and enhance community welfare.

Implementation Of Value Engineering Using Analytical Hierarchy Process (Ahp) (Case Study: Flyover Construction Project Of Jpl 64 Km 38+897 Across Surabaya – Solo)

The development of infrastructure development in Indonesia is being intensively carried out by the government to meet the needs of the community. Infrastructure development is often faced with various obstacles that can disrupt the project. To ensure the sustainability of the project, it is necessary to apply Value Engineering to identify opportunities for cost savings and solve problems so as to get maximum value without reducing project quality. The purpose of the research is to analyze the structure, determine the alternative, types and construction methods chosen to make the project cost efficient. Value Engineering is applied to the foundation and deck slab work of the Fly Over Replacement Construction Project JPL 64 Km 38-897 Lintas Surabaya-Solo using the AHP method with the help of expert choice. Based on the results of the Value Engineering analysis, an alternative bore pile d-120 foundation was obtained in the foundation work and a change in the cantilever elbow support method in the deck slab work. The cost efficiency results obtained after Value Engineering amounted to Rp15,108,214,225 or 10%.