Operational Competitiveness Rating Research Articles

Implementasi Kombinasi LOPCOW dan Operational Competitiveness Rating Analysis Dalam Rekomendasi Tempat Wisata Indoor

Indoor attractions offer an exciting and comfortable holiday experience, especially for those who want to avoid extreme weather or want indoor comfort. The selection of indoor attractions is often faced with various problems involving distance, price, rating, and cleanliness. All these factors must be carefully considered to ensure that the chosen indoor attraction can provide a satisfying and enjoyable experience. The application of a combination of Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW) and Operational Competitiveness Rating Analysis (OCRA) in the performance evaluation of business alternatives offers an innovative and robust approach to decision making. LOPCOW allows objective determination of criteria weighting based on logarithmic percentage changes, emphasizing the dynamics of relative performance changes between criteria. Integration with OCRA, which evaluates operational competitiveness through efficient ratio analysis. The ranking results showed that the first best rank was obtained by Puncak Mas with a final value of 1.2596, the second-best rank was obtained by Wira Garden with a final value of 1.1607, the third best rank was obtained by Lampung Walk with a final value of 1.0289. The combination of these two methods increases the accuracy and reliability of ranking results, assisting decision makers in choosing truly superior alternatives based on relevant and up-to-date data. By utilizing data-driven analysis and robust methodologies, the decision-making process becomes more efficient and can be done faster, saving time and resources.

Sistem Pendukung Keputusan Pemilihan Kafe Terbaik Dengan Menggunakan Metode OCRA

Currently, the development of the culinary business in Indonesia is increasingly rapid. One of them is the cafe business. A cafe is a place to tell stories with friends, friends and family while enjoying dishes such as drinks and food that have been provided by the management according to the menu list available. In North Nias district there are several cafes which are gathering places for visitors who want to tell stories or want to enjoy the dishes available at the cafe. One of the cafes that the tourism department hopes is a cafe that can be enjoyed by all ages, from parents, adults, teenagers and even children. So that visitors who want to go to a cafe with their family can get comfort from each other in the same place. To determine the best cafe, the cafe must meet predetermined criteria, namely taste, price, service, facilities and cleanliness. However, the deciding party in this case is the Tourism Department in choosing the best cafe. So we need a decision making system that can help determine which cafe is the best cafe chosen by the North Nias district tourism office. The method used for the decision support system is the OCRA (Operational Competitiveness Rating Analysis) method. In this research the author applies the OCRA method with ROC weighting. The author will rank this method in order to find out the best alternative in determining the best cafe in North Nias Regency because this method is related to determining the value weight of each existing criterion and is equally used for the value ranking process. So a decision support system (DSS) is needed to solve this problem. SPK can be interpreted as an information system that is used to support decision making in a company or organization. In this research, the Operational Competitiveness Rating Analysis (OCRA) method is used, which is a method that can produce data in selecting the best cafe. The research carried out this by collecting data on selecting the best cafes, then sorting the data according to the criteria and carrying out calculations. And determine the best alternative that deserves to be the best cafe. It is hoped that the results of this research can process the selection of the best cafe in North Nias Regency, this research can make it easier for the tourism office to select the best cafe based on the OCRA method in selecting the best cafe in North Nias Regency. Based on the test results, the best alternative results were obtained, namely Cafe Saito Coffee (A5) which obtained a score of 2.309

An integrated picture fuzzy operational competitiveness ratings group decision approach for evaluating the enterprise digital transformation capability

An integrated picture fuzzy operational competitiveness ratings group decision approach for evaluating the enterprise digital transformation capability

Fermatean Fuzzy Distance ORCA Methodology for Analysis Solar Water Heating Systems

This study presents an in-depth exploration and evaluation of solar water heating systems, focusing on their technological advancements, economic viability, environmental impact, and practical applications. Solar water heating systems stand as innovative solutions, utilizing solar thermal energy to provide a sustainable and renewable source of hot water. The assessment encompasses an analysis of various collector designs, materials, and efficiency metrics, showcasing the evolution and effectiveness of these systems across different climates and settings. Economic evaluations reveal the cost-effectiveness and potential savings associated with solar water heating, emphasizing reduced energy bills and lower carbon footprints. Environmental assessments highlight the systems' significant contribution to mitigating greenhouse gas emissions and reducing reliance on non-renewable energy sources. Furthermore, real-world applications across residential, commercial, and industrial sectors underscore the versatility and scalability of solar water heating systems. Despite their numerous benefits, challenges persist regarding upfront costs, system integration, and technological limitations. However, strategic research, development, and policy interventions present opportunities to overcome these barriers and promote wider adoption. The findings from this comprehensive assessment provide valuable insights into the significance, challenges, and potential pathways for optimizing solar water heating systems towards a sustainable and energy-efficient future. This study used the Fermantean fuzzy sets with the Operational Competitiveness Rating (ORCA) model for analysis of the criteria and alternatives in solar water heating. We used the 12 criteria and 15 options in this study. The sensitivity analysis is conducted to show the stability of the results.

Decision Support System Analysis of School Promotion Media Selection using MABAC, OCRA And CODAS Methods

School promotion is an activity to communicate educational products to consumers or prospective students. Promotional activities require strategic policies in order to maximize promotional results, therefore analysis of the selection of appropriate promotional media needs to be done. Multi-Attributive Border Approximation area Comparison, Operational Competitiveness Rating Analysis, COmbinative Distance-based Assessment in decision support system with case study at SMK Airlangga Balikpapan. MABAC, OCRA and CODAS are used in the calculation process that produces output in the form of promotional media ranking to be recommended to the school promotion team as a consideration for selecting the right promotional media. Alternative promotional media used in this research are brochures, posters, billboards, banners and newspaper advertisements. Based on the results of the research, the MABAC, OCRA and CODAS methods can be applied to the school promotion media selection decision support system and can produce output in the form of a priority ranking of school promotion media

Evaluation of intelligent transportation system implementation alternatives in metaverse using a Fermatean fuzzy distance measure-based OCRA model

The concept of the Metaverse, an immersive simulated world with parallels to reality, has gained significant prominence in recent times. Initially popularized through gaming, the Metaverse is now poised to infiltrate various aspects of human life. Intelligent transportation systems represent a promising yet challenging domain for Metaverse integration. Alternative implementations can create challenges in different dimensions. A comprehensive evaluation that takes challenges and opportunities for the different dimensions into account is required in decision making process of choosing the best implementation method. This study presents the development of a novel evaluation model, the Fermatean Fuzzy Operational Competitiveness Rating (OCRA) model, which incorporates the Fermatean Fuzzy Distance Measure (FF-DM) and Relative Closeness Coefficient (FF-RCC) techniques. The model is tested in a case to rank three alternative approaches, considering criteria of four key dimensions: managerial, safety, user, and urban mobility. In the first stage, the FF-DM and FF-RCC-based tool is employed to determine the criteria weights. In the second stage, an enhanced version of the Fermatean Fuzzy OCRA model, utilizing FF-DM and FF-RCC, is employed to rank the alternatives. The findings indicate that policymakers' decisions in traffic management hold the potential to shape the trajectory of the Metaverse movement, representing an unparalleled opportunity with implications that extend beyond our current comprehension.

Interval-valued Pythagorean fuzzy operational competitiveness rating model for assessing the metaverse integration options of sharing economy in transportation sector

The rise of the sharing economy (SE) has enabled new forms of urban mobility and had a substantial impact on the transportation sector. The applications of SE transportation lessen vehicle ownership and single-occupancy vehicles, which contributes to the sustainability of a region. Metaverse is a digital ecosystem that integrates SE applications with transportation sector and improves the sustainability of SE applications. The aim of this work is to assess and prioritize the Metaverse integration options of sharing economy from multiple criteria and uncertainty perspectives. In this regard, the proposed study develops a four stage decision-making method on interval-valued Pythagorean fuzzy (IVPF) setting. First, new score function is proposed to compare the interval-valued Pythagorean fuzzy numbers (IVPFNs) and further used to derive the weights of decision experts in the proposed method. Second, some IVPF interaction aggregation operators are proposed to aggregate the individual’s information in group decision-making. Third, an integrated weighting process is presented to obtain the objective weights of criteria using cross entropy-based formula and subjective weights by relative closeness coefficient-based model with IVPF information. For this purpose, a cross entropy is introduced for interval-valued Pythagorean fuzzy sets. Fourth, a hybrid operational competitiveness ratings assessment (OCRA) model is developed to rank the alternatives with IVPF information. Moreover, a case study of Metaverse integration options of sharing economy in transportation sector is taken to express the practicability and effectiveness of the presented method. Sensitivity analysis with respect to various values of parameter is discussed to reveal the stability of outcomes. It is also compared with some extant models to validate the superiority of developed method.

Implementation of Operational Competitiveness Rating Analysis (OCRA) and Rank Order Centroid (ROC) to Determination of Minimarket Location

Minimarket location placement is one of the main capital for the business to progress and develop. In determining the location of the minimarket, various considerations must be taken so that nothing is fatal to the sustainability of the business. The problem that occurs in the company in choosing the placement of minmarket locations, namely the various locations that are chosen, each location has its advantages and disadvantages, each of which can affect the analysis of results and takes a long time to make a decision. So that requires a system that can provide a solution to this problem. In this case the resulting system is a system that is useful for determining location placement for minimarkets using the ROC method as its weighting and the OCRA method as a decision generator. This system can provide a solution in determining the location of minimarkets, from various existing locations. The results of each alternative are more objective and definitive in determining the location of minimarkets in a computerized way. For this reason, it is necessary to have supporting criteria for using a decision support system. Determination of importance weight values on conflicting criteria is generated through a weighting method, namely ROC or Rank Order centroid. The OCRA method or Operational Competitiveness Rating Analysis is a method that can calculate and produce rankings efficiently so that the resulting decisions are accurate. The results obtained from the utilization of this system determine the location of minimarkets using the OCRA method and ROC weighting as well as various conflicting criteria determined by the company and development management in Lubuk Pakam resulting in the highest preference value of 0.673 as a location that is suitable for use as a minimarket

Kombinasi Metode Rank Order Centroid (ROC) dan Operational Competitiveness Rating Analysis (OCRA) pada Sistem Pendukung Keputusan Penerimaan Kasir

A cashier is someone who, in carrying out his work, is responsible for processing payment transactions made by customers. In addition, cashiers can also serve cash and non-cash payments. The role of the cashier is needed in improving the quality of a company institution. In accepting the Cashier must meet several criteria such as Knowledge, Work Experience, Responsibility, Education, Loyalty, Status, and Age. So that in this problem requires a system that can provide the right solution such as Decision Support (SPK) to provide the solution found by using the Operational Competitiveness Rating Analysis or OCRA method in the process requiring data and cashier acceptance criteria. As for the results in the research on choosing the best cashier, the A5 alternative with a value of 1.9134 is Abdul Gani's name

An Integrated Intuitionistic Fuzzy Closeness Coefficient-Based OCRA Method for Sustainable Urban Transportation Options Selection

Transportation systems play a key role in urban development by providing access for people to markets and education, employment, health care, recreation, and other key services. However, uncontrolled urban population and fast growth of vehicle mobility inevitably lead to unsustainable urban transportation systems in terms of economic, technical, social, and geographical aspects of sustainability. Thus, there is a need to select suitable sustainable urban transportation (SUT) alternatives, which can contributed to the technological advancement of a city and changes in societal necessities, mitigating the climate change impact from transport and transforming living habits, in the context of high urban population growth. Therefore, this paper aims to introduce an integrated multi-attribute decision analysis (MADA) framework for assessing and ranking the sustainable urban transportation (SUT) options under an intuitionistic fuzzy sets (IFSs) context. In this regard, firstly IF-distance measures and their properties are developed to obtain the criteria weight. Second, an IF-relative closeness coefficient-based model is presented to find the criteria weights. Third, the operational competitiveness rating (OCRA) model is introduced with the IF-score function-RS-based decision experts’ weighing model and the relative closeness coefficient-based criteria weight determination model under the IFSs environment. To exemplify the utility and effectiveness of the developed IF-relative closeness coefficient-based OCRA methodology, a case study ranking the different SUT bus options is presented from an intuitionistic fuzzy perspective. A comparison with different models is made to prove the superiority and solidity of the obtained outcome. Moreover, the comparative analysis outperforms the other extant MADA models, as it can provide more sound outcomes than others, and thus it is more suitable and efficient to elucidate uncertain information in handling practical MADA problems. In this study, we analyze and determine the most suitable and sustainable SUT by considering the economic, technical, environmental, and social dimensions of sustainability and also make a significant contribution to the current scientific knowledge by providing a novel decision support system from an uncertainty perspective.

Hybrid Approach to Supply Chain Project Manager Selection Problem

Supply chain management covers the management of all processes, from determining the material needs of manufacturing companies to delivering value-added products to customers. Theoretical approaches and practical applications for supply chain management processes are presented in the literature. However, there is no project-based supply chain manager selection for the improvement of supply chain processes yet. In this research, the supply chain project manager selection problem is discussed. In this context, multi criteria decision making techniques used for project manager selection problem applications were used. According to the literature review and interviews with the manufacturing executive jury, seven criteria were determined. The criterion weights were determined by the fuzzy the stepwise weight assessment ratio analysis (F-SWARA) method. The grey operational competitiveness rating method (OCRA-G) method was applied to select the most suitable candidate among the four candidates. According to the research findings, the experience criterion was determined as the most important criterion in the selection of the supply chain project manager. The second candidate was found to be the most suitable candidate. In this research, an alternative hybrid model method for the project selection problem has been presented to the literature by using fuzzy and gray based approaches in a hybrid way. In addition, suggestions have been developed for manufacturing companies, supply chain project manager candidates and researchers.

Analisa Penerapan Metode OCRA Pada Pertukaran Mahasiswa Dalam Mendukung Kampus Merdeka Dengan Pembobotan ROC

The independent campus is one of the programs from the policy of the ministry of education and culture that has been approved by the president to motivate students to improve their abilities by participating in learning activities carried out for one or up to three semesters according to interests outside the study program or college, where students follow the lesson. However, in the selection of student exchanges in support of independent campuses, there are often problems, namely the student section is confused in determining it because of the large amount of data that does not meet the criteria but has already registered. So in this study, a decision support system is needed as a system for determining eligible students in an independent campus exchange. As for the selection of student exchanges in supporting an independent campus, there are five criteria including GPA, non-academic achievements, skills, ethics and academic sanctions. So with this, a decision support system is urgently needed to solve problems using the ROC (Rank Order Centroid) and OCRA (Operational Competitiveness Rating Analysis) methods which will produce weight values ​​for each criterion and preference values ​​from the first ranking alternative. So that the chosen one in the selection of the independent campus student exchange is Alternative A1, namely Tasya Salsabilla with a value of 1,071.

Locating temporary waste treatment facilities in the cities to handle the explosive growth of HCWs during pandemics: A novel Grey-AHP-OCRA hybrid approach.

The COVID-19 outbreak has not only put the community health at stake but, also the environmental health. Usually, the healthcare wastes (HCWs) are composed of 15-20% of the infectious wastes and the rest of the non-infectious wastes. But, during any communicable health outbreak like COVID-19, the whole HCWs coming from the infected people become contagious. During the COVID-19 outbreak, the infectious waste is not only limited to the hospitals’ premises, but also comes from the households, where COVID19 infected people are under home quarantine. Hence, keeping in mind the explosive growth in generation rates of infectious HCWs, the present study targets to expand the treatment and disposal capacity by installing temporary healthcare waste treatment facilities (HCWTFs). The study identifies ten criteria from the literature review and in consultation with the field experts, to evaluate the potential candidates for setting up temporary HCWTF during the health outbreaks. The study proposes a hybrid methodology based on grey analytical hierarchy process (G-AHP) and grey operational competitiveness rating analysis (grey-OCRA) for prioritizing the evaluation criteria and selecting the optimal temporary HCWTF location by considering the experts’ inputs, respectively. The stakeholders consider the ‘proximity to the inhabitation’, ‘infrastructure availability’, and ‘transportation distance’ are the most important criteria for selecting the temporary HCWTF location. The proposed methodology is applied to select the temporary HCWTF location in Sundargarh District, Odisha, India. The study identifies the four locations by using geographical information system (GIS) tools and sequences them as per the preferences given by the stakeholders on various identified criteria. The study may be useful for the administration to set up the temporary facilities to quickly dispose of the extra HCWs during the pandemics. However, the future studies can be targeted to coordinate the collection, storage and transportation activities with the temporary HCWTFs.

Sistem Pendukung Keputusan Penentuan Kerani Timbang Lapangan Terbaik Menerapkan Metode Operational Competitiveness Rating Analysis (OCRA)

The weighing clerk is part of the BUMN employees whose job is to calculate incoming and outgoing income from the results of the company's raw material scales. Of course, every company engaged in this field requires quality weighing machines that can improve the quality of a company. In selecting the best field weigh-in, several criteria can be used as references, such as performance, responsibility, age, level, and number of dependents. And due to the large amount of data that is not suitable for field weighing clerks but has registered to be field team assistants, the head of the company is confused and it takes a long time to select suitable field weighing clerks to be employed. In order to assist in the selection of candidates for the weigh-in election, a decision support system is needed. The Operational Competitiveness Rating Analysis (OCRA) method is one of the supporting methods in determining the priority criteria for the selection of field weigh-in candidates. As for the results in the research on the selection of the best field weighing clerk, alternative A2 with a value of 0.583 on behalf of the Libra Purba.

Penerapan Metode OCRA dalam Menentukan Media Pembelajaran Online Terbaik di Masa Pandemi Covid-19 dengan Pembobotan ROC

Right now the Covid-19 pandemic is very troubling where people must comply with regulations that have been made by the government, namely reducing non-essential activities outside the home so that there are no crowds, at this time many educational institutions are closed for face-to-face learning activities and then online or online learning is applied. online. In this online learning there are many media that can be used so that it makes teachers and students confused to determine which media is the most appropriate to use. This study uses a Decision Support System as a system in selecting which online learning media is the best. In determining the best online learning media, it must meet criteria such as User Capacity, Visual Interaction, Friendly Features, Application Features and Internet Data Usage. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the ROC (Rank Order Centroid) and OCRA (Operational Competitiveness Rating Analysis) methods that can generate weight values and preference values from the first ranked alternative. So that the best online learning media during the Covid-19 pandemic lies in the A3 alternative, namely Moodle with a value of 2,296.

Penerapan Metode AHP dan OCRA dalam Pengambilan Keputusan Menentukan Santri Berprestasi

The selection of outstanding students is an appreciation given by the boarding school to the students who have the highest scores. However, the election is usually still done subjectively and manually, and there is no support system in creating decisions, which make the selection process long and inaccurate. This study aims to implement a decision support system in determining outstanding students at Mamba'ussholihin Islamic Boarding School predetermined with criteria. The process of selecting uses the method Analytical Hierarchy Process (AHP) for weighting criteria and Operational Competitiveness Rating Analysis (OCRA) for ranking. The OCRA value obtained is in the form of Pi, which is ranked to get the best students. The findings show that the error consistency level is less than 10% and the consistency index value is accepted, so that it can be used as an initial weight with a relative number = 1. After calculating the OCRA method from the initial 75 alternative data, the top 10 alternative data obtained are in the form of the value of Pi will be entitled to an award as an outstanding student, so by applying these two methods it can speed up the results of the decision, it does not take a long time and the results obtained are also precise.

Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC)

For companies, employees are an important aspect that must be supported by quality human resources. In the selection of permanent employees, usually the leadership in a company conducts an objective selection process in accordance with predetermined criteria. However, leaders often face several problems in this process, such as the selection is carried out in stages so that it takes a long time and the assessment of prospective employees is still done manually, making mistakes often occur. Therefore, a decision support system is needed as a solution to these problems by applying a comparison of the Operational Competitiveness Rating Analysis (OCRA) method and the Multi Attribute Utility Theory (MAUT) method and the weighting obtained by the Rank Order Centroid (ROC) method. The test results obtained the best alternative that is considered feasible as a permanent employee is in the same alternative, namely A5 on behalf of Risa Sabrani. The OCRA method produces the best preference value of 1.56 while the MAUT method produces the best preference value of 0.456 as the first rank

Optimizing construction and demolition waste transportation for sustainable construction projects

PurposeThere have been numerous efforts to tackle the problem of accumulated construction and demolition wastes worldwide. In this regard, this study develops a model for identifying the optimum fleet required for waste transportation. The proposed model is validated through a case study from the construction sector in New Cairo, Egypt.Design/methodology/approachVarious fleet combinations are assessed against the time, cost, energy and emissions generated from waste transportation. Genetic algorithm optimization is performed to select the near-optimum solutions. Complex proportional assessment and operational competitiveness rating analysis decision-making techniques are applied to rank Pareto frontier solutions. These rankings are aggregated using an ensemble approach based on the half-quadratic theory. Finally, a sensitivity analysis is implemented to determine the most sensitive attribute.FindingsThe results reveal that the optimum fleet required for construction and demolition wastes (CDW) transportation consists of one wheel loader of bucket capacity 2.5 cubic meters and nine trucks of capacity 22 cubic meters. Furthermore, consensus index and trust level of 0.999 are obtained for the final ranking. This indicates that there is a high level of agreement between the rankings. Moreover, the most sensitive criterion (i.e. energy) is identified using a sensitivity analysis.Originality/valueThis study proposes an efficient and effective construction and demolition waste transportation strategy that will lead to economic gains and protect the environment. It aims to select the optimum fleet required for waste transportation based on economic, social and environmental aspects. The usefulness of this study is establishing a consensual decision through the aggregation of conflicting decision makers' preferences in waste transportation and management.

Efficiency and performance analysis of economics research using hesitant fuzzy AHP and OCRA methods

Countries allocate some of their GDP as research and development shares for the sustainability of R&D activities. From time to time, it was aimed to measure how effectively these allocated shares are used by different disciplines. In this study, the efficiency and performance of economics researches in 15 OECD member countries is ranked and evaluated by using bibliometric elements for the period of 2010–2017. 7 different criteria, which are thought to affect the efficiency and performance of economics research, have been determined. By taking the opinions of 5 different experts, criterion weights were calculated with Hesitant Fuzzy Analytic Hierarchy Process (Hesitant Fuzzy AHP) method and sequences were obtained by Operational Competitiveness Rating Analysis Method method. The top five countries with the highest performance are England, Germany, Italy, Australia and France and the lowest is Hungary. The results show that if the economics research performance is high in a country, the number of documents indexed in Web of Science, the number of citations and the percentage of documents cited are also high, and the quality of the produced scientific output is also independent of the number of researchers and the allocated research budgets.

Supplier Selection by Using a Fuzzy Integrated Model for a Textile Company

Supply chain management determining the competitive position of corporations in a rival and fast-changing environment is one of the favourite topics in engineering economics. Since the performance of suppliers affects the performance of the whole supply chain, the selection of a supplier is a significant problem in supply chain management. When solving a supplier selection problem, there are many criteria needed to be considered. Therefore, the supplier selection problem is a multi-criteria decision making (MCDM) problem. In the supplier selection process, most of the time, expert data is involved, and the judgement of experts includes ambiguous, imprecise and uncertain data. Thus, there are many methods to solve supplier selection issues by utilising fuzzy set theory, grey theory and rough theory to handle vagueness of a problem. This study also proposes a fuzzy model to solve this problem. In this study, an integrated fuzzy MCDM model including the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Operational Competitiveness RAting (Fuzzy OCRA) will be proposed to solve supplier selection problem for a Turkish textile company. The FAHP is utilised to determine the weights of considered eight criteria and the fuzzy OCRA is used to rank five fabric suppliers concerning their performances on eight measures. This study is original and it contributes to the literature in two ways: first, this study proposes a fuzzy extension of the OCRA method and second, this study offers a new integrated fuzzy MCDM model consisting of the FAHP and the Fuzzy OCRA. By using a real case study of supplier selection problem, it is attempted to indicate the applicability of the new integrated fuzzy MCDM model for actual circumstances.