Weighted Product Method Research Articles

Optimizing Material Selection Using a Hybridized Multi-attribute Decision Making Model

Material selection is a very entangled and decisive stage in the design and development of products. There are large numbers of on hand and newly developed materials available in the market. In addition, inability to select the correct materials adversely affects the reputation and profitability of the company. Thus, designers need to study and trace the performance of available materials with appropriate functionalities. Thus, this research aims at establishing an efficient and systematic platform for the optimum selection of materials while accommodating the designated conflicting performance requirements. The developed model encompasses designing a hybrid decision support system in an attempt to circumvent the shortcomings of single multi-criteria decision making-based (MCDM) models. First, the objective relative importance weights of attributes are interpreted capitalizing on Shannon entropy algorithm. Then, an integrated model that encompasses the utilization of six different types of multi-criteria decision making algorithms is designed to create a reliable selection of material alternatives. The utilized MCDM algorithms comprise weighted product method (WPM), simple additive weighting (SAW), additive ratio assessment (ARAS), new combinative distance-based assessment (CODAS), complex proportional assessment (COPRAS) and technique for order of preference by similarity to ideal solution (TOPSIS). Afterwards, COPELAND algorithm is exploited to generate a consensus and distinct ranking of material alternatives. Eventually, Spearman’s rank correlation analysis is used to evaluate the rankings obtained from the MCDM algorithms. Five numerical examples in diverse fields of material selection are tackled to examine the features and efficiency of the developed integrated model. Results illustrated that the developed model was able to solve the five material selection problems efficiently. On the other hand, no individual MCDM algorithm was able to solve all the assigned material selection problems. For instance, CODAS and TOPSIS only succeeded in solving one and two material selection problems, respectively. It was also inferred that notable differences and perturbations are encountered between the rankings of MCDM algorithms in the first, third, fourth and fifth numerical examples, which necessitates the implementation of COPELAND algorithm. It was also revealed that the highest correlation lied between COPRAS and WPM with an average Spearman’s rank correlation coefficient of 92.67%. On the other hand, the correlation between TOPSIS and CODAS attained the lowest rank with an average Spearman’s rank correlation coefficient of 18.95%. Results also demonstrated that COPRAS accomplished the highest Spearman’s rank correlation coefficient with 59.54%. Hence, it is the most efficient MCDM algorithm among the five algorithms which can serve as a reference for solving material selection problems. It can be also deduced that CODAS and TOPSIS are not advised to be implemented in solving similar material selection problems.

Earthquake-induced damage scenario simulation

This study estimates the consequences of a scenario earthquake to a city or region using the formulated mathematical model based on multi-criteria decision-making methods like Simple Additive Weighting (SAW) and Weighted Product Method (WPM). A customized tool was developed using MATLAB to calculate, map and display the damage scenarios corresponding to various earthquake parameters and graphical user interface (GUI) was designed. The tool can be used to generate different damage scenarios by changing the earthquake parameters. The most unfavorable site-conditions, areas and the most vulnerable building, can be identified from the outputs. It allows for actions before an earthquake occurs, for example, the retrofitting of buildings and long-term urban planning. The formulated mathematical model was validated by comparing the damage scenario generated using the developed tool for 2001 Bhuj earthquake parameters and actual damage map prepared using the available pre- and post-earthquake satellite data (Landsat-7). The results showed the tool's potential to generate earthquake scenarios that help develop post-event response and recovery strategies.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN HANDPHONE DENGAN MENGGUNAKAN METODE WEIGHT PRODUCT

Handphone sebagai perangkat telekomunikasi yang menjadi kebutuhan utama saat ini, dilengkapi dengan banyak fitur yang dimiliki setiap handphone. Banyaknya keluaran jenis handphone membuat konsumen harus pintar memilih handphone yang dapat digunakan setiap harinya. Tidak mengertinya kelebihan dan kekurangan handphone yang dipilih tidak tepat dapat menyebabkan kerugian bagi konsumen dengan berdasarkan tingkat kepentingan pengguna. Pada penelitian ini akan dilakukan analisis perhitungan dengan beberapa data alternatife handphone berdasarkan kriteria-kriteria yang sudah ditetapkan menggunakan metode weighted product, dapat menyelesaian masalah dengan cara perkalian untuk menghubungkan rating attribute dengan atribut bobot yang bersangkutan. Diharapkan dari konsep analisis perhitungan ini dapat menjadi pengetahuan mengenai metode weighted product dalam pemilihan handphone yang direkomendasikan, sebagai dasar gambaran untuk pengembangan implementasi metode weighted product ke dalam penelitian selanjutnya. 
 

Implementation of The Weighted Product Method for The Distribution of Bidik Misi Scholarships for Vacation High School Taruna Persada Dumai

Scholarship is one the factors that can increase student motivation. This scholarship is given to high achieving students and underprivileged students to continue to achieve their dreams. However, the low capacity of the scholarship means that this scholarship is very limited and is only for students who are eligible to receive it. However, it is not uncommon for errors to occur in distributing scholarships because there is no real calculation in the selection of scholarship acceptance so that the scholarships are not on target. Based on these problems, a decision support system that is able to solve the problem is needed so that the awarding of scholarships becomes more precise and efficient so that the authors conduct research using the Weighted Product method which can solve the problem by multiplying to connect the attribute value, where the attribute value must first be ranked by weight. attribute in question. As for the criteria for providing scholarships, namely achievements, parents' income, number of siblings, social status, and place of residence. The result of this research is a system that is able to rank the best alternatives as a recommendation in giving scholarships so that the scholarships can be distributed appropriately.

Analisis Wsm Dan Wp Dalam Menentukan Pupuk Terbaik Dengan Pendekatan Wsm-Score Dan Vector

Fertilizer is a material that is given to the soil or plants to meet the nutritional needs of the plant. Fertilization needs to be done rationally according to plant needs. In the supply of fertilizer, farmers have difficulty in determining the best fertilizer for their crops, making it difficult to choose which fertilizers are good for their crops. In determining the best fertilizer, a decision support system can be used as an alternative to help someone make decisions more effectively and efficiently by utilizing certain data and models. To solve the existing problems, it is necessary to conduct research in decision making using the Weighted Sum Model (WSM) and Weight Product (WP) Methods which can produce decisions based on the best fertilizer criteria that will be purchased by customers. The Weighted Sum Model (WSM) method is one of the simplest and easiest methods to understand its application, this method is also part of the MCDM (Multi-Criteria Decision Making) method in evaluating the value of each alternative. The Weight Product (WP) method is a method using multiplication to relate the attribute rating, where the rating of each attribute must be ranked with the attribute weight in question. From the results of the implementation of this system, it can be concluded that using the Weighted Sum Model and Weight Product method can help customers in the decision-making process for choosing the best fertilizer to use on their plants.

Web-Based Lecturer Performance Selection Information System Using Weighted Product (WP) Method

Academic Informatics Management (AMIK) Bogor is a college in Bogor, where the performance appraisal process uses a questionnaire distributed to students for lecturer performance appraisal, the assessment set at the Informatics Management Academic is done by simple calculations looking for the highest score. it is still quite difficult and not accountable in concluding the performance results of a lecturer because the assessment is only done by students. So from these problems the calculation using the weight product method is able to calculate the performance of lecturers with precise accuracy

Multi-criteria decision analysis methods for energy sector's sustainability assessment: Robustness analysis through criteria weight change

Well-optimized decision-making is a prerequisite for effective energy planning, and this requires several criteria to be considered. The multi-criteria decision analysis (MCDA) methods underpin this decision-making process through different techniques. A MCDA method can provide a reliable methodology that helps to organize the most optimized result in the presence of many different opportunities, parameters, and constraints. The selection of an effective MCDA method in the energy sector is challenging. Particularly, sustainability assessment of the electricity generation sector using a MCDA method is difficult as it is necessary to consider at least three different criteria (economic, environmental, and social) with many indicators. This work compares the robustness, with respect to criteria weight change, of seven MCDA methods that are employed to assess the sustainability of electricity generation technologies through a case study. This case study underpins conducting an effective comparison between the employed methods and conclusions drawn. Robustness is defined cumulatively, counting the number of ranking changes while varying the criteria weights by 5%, 15% and 50%. The methods considered are Weighted Sum Method (WSM), Weighted Product Method (WPM), VIKOR, Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS), Performance Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), Analytical Hierarchy Process (AHP), and COmplex PRoportional ASsessment (COPRAS). The analysis revealed that COPRAS is the most robust MCDA method, followed by WPM. The least robust one is found to be TOPSIS. Both AHP and WSM ranked third in the robustness measure.

PENERAPAN METODE WEIGHTED PRODUCT UNTUK PENENTUAN PENERIMA BANSOS KEPADA MASYARAKAT TERDAMPAK COVID-19

Since Covid 19 attacked Indonesia, almost all sectors have been affected. In the education sector, which requires students to study from home (online), in the economic sector the poverty rate is getting higher, many workers have been laid off and some are sent home. The face of the Indonesian economy has become a mess. One of the ways for the government to reduce the impact of the COVID-19 pandemic is to provide social assistance to the community. However, in distributing aid, the distributors are often constrained in prioritizing the recipient community. The mechanisms for distributing aid are complicated and often not well targeted due to inappropriate criteria for beneficiaries and inaccurate / inaccurate data. So that not a few people protested because they did not receive assistance even though they were also affected by the Covid 19 pandemic. The decision support system using the weighted product method was considered capable of finding the highest priority for beneficiaries based on predetermined criteria, namely employment status, home status, domicile, dependents. and income per month. The final result is a rating of vactor V where the alternative which has the highest value has the highest priority to receive assistance.

Kombinasi Metode Simple Additive Weigthing dan Weigthed Product Untuk Seleksi Proposal Program Kreatifitas Mahasiswa

This Research aims to develop a decision support system that can facilitate the proposal selection process and provide an alternative ranking for the selection results of student creativity program proposal selection. This decision support system uses a combination calculation of the Simple Additive Weighting and Weigthted Product methods, hereinafter referred to as Modified SAW. The criteria used in this assessment refer to the 2020 Student Creativity Program Guidebook. The data used in this decision support system uses proposal selection data in the Student Creativity Development Unit of Muhammadiyah University of North Sumatra in 2019 for 2020. This system was developed by determining criteria and weight determination using the Simple Additive Weighting method and then make improvements to the weight and determine the preference value using the Weighted Product method. Each of the SAW and WP methods certainly has advantages and disadvantages. The advantages of SAW with a simple and simple ranking process, can be applied to decision-making cases such as in the recommendation of selecting proposals with various attributes. While the use of Weighted Product (WP) is often used because the weight is calculated based on the level of importance and can evaluate the set of attributes by multiplying all criteria with alternative results as well as the power between weights and alternative multiplication results. This WP method can also be used in assisting in recommendation of proposal selection based on what is needed by the University. By utilizing the advantages and disadvantages of each method, this combination is able to produce an accuracy of 91% for the SAW method, 97% for the accuracy using the WP and 99% for the accuracy value for the combination of the SAW and WP methods. This decision support system using MOD SAW can help facilitate the proposal selection process and provide alternative ranking results. Further research is suggested for the development of a decision support system for proposal selection using a combination of different methods between SAW and other methods.

Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component.

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

Decision support system for determining the location of Iwang restaurant branches using weight product method

Restaurant Iwang is a business in the field of food originating from Betawi (Tanah Abang), currently, the satay Betawi business is growing rapidly, because of this development, more and more people are making similar businesses. However, despite many similar businesses, Mr. Iwang's satay stall continues to get a good response from the community so that it has 2 branches with 1 center at Mas M1 Airport. because he saw a huge opportunity, Mr. Iwang was increasingly determined to build a bigger branch so he could continue to expand his business. But his determination could not be realized due to a lack of resources. Therefore, this research was conducted to make a good decision on where the branch will be built with a franchise system. With a Decision Support System to determine the appropriate place as the location of the franchise using the Weight Products (WP) method, the results of the decision will be used to assist Mr. Iwang in making a decision. The result will be information about the suitability of a location that will be provided by the franchise. This method is done by rating technique where the rating is raised with the weight of the rating attribute in question. The result shows that for the decision to open a new branch restaurant for restaurant Iwang has three rankings. The first ranking priority at location A1=” Ruko Malabar Market”, the second-ranking priority at location A3=” Ruko Cibodas, PAM”, and the third-ranking priority at location A2=” Ruko Pasar Lama”.

Potential vs prevalent vs popular vs proven biodiesel feedstocks: A critical 4P selection process

Due to severe geopolitical uncertainty, tensions between nations that produces fuel/oil, and trade sanctions, almost no nation can guarantee a consistent fuel supply and that can affect the progress or development of countries significantly as fuel is the backbone of the energy supply. Counties are exploring different alternative energy sources that can be sustainable and locally available. Waste-based biofuel, i.e., biodiesel, can be an excellent cheap alternative to diminish the fuel supply–demand conflict and can also play an important role in mitigating the adverse effects of greenhouse gas emissions in the environment. This study focuses on four biodiesel feedstocks that are classified as having the most potential (microalgae oil), being the most prevalent (palm oil), the most popular (soybean oil), and the most proven (coconut oil) identified by the current researchers. The Scopus research database recognises these biodiesel feedstocks. The ranking among these studied biodiesel feedstocks is focused on technical, economic, environmental, and social aspects with eighteen criteria. There are five weighting methods used in this study, namely EQUAL, Criteria importance through intercriteria correlation (CRITIC), ENTROPY, Analytical hierarchical process (AHP), and Fuzzy Analytical Hierarchical Process (FAHP). Five multiple criteria decision analysis processes, namely PROMETHEE, Weighted sum method (WSM), Weighted product method (WPM), Technique for order preference by similarity to ideal solution (TOPSIS), and VIse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) are applied for ranking these feedstocks. The results reveal that Coconut oil rated the best followed by Microalgae and Palm oil, whereas Soybean was considered to be the worst performer among those feedstocks. This ranking of biodiesel feedstocks is important for commercialisation purposes as well as providing a clear picture to the researchers, scientists, policymakers, and Government stakeholders.

A Median weighted product method for group decision support

When it comes to a multiple criteria and multiple actors decision making problem known as a group decision support problem, the literature generally mentions two ways to aggregate the preferences of decision-makers to achieve consensual outcomes. The first class of group decision support methods run a same multi-criteria method for each decision-maker and thereafter, based on the individual result obtained, find a consensual result. The second class of methods first find a consensus on the preferences of decision-makers and then apply a multi-criteria method based on these consensual preferences to finally have a consensual result. In this work we propose a new method, belonging to the second class of methods for solving group decision problem. This method, called Median Weighted Product Method forGroup Decision Support (MWPM-GDS) aims to achieve quickly and easily results that reflect as accurately as possible the choice of each decision-maker when solving group decision support problems. We applied the proposed method to two well-known examples in the literature and compared the results with those of two other group decision support methods to show its effectiveness.

Sistem Pakar pada Sistem Pembayaran Uang Kuliah Cicilan Menggunakan Metode Weighted Product (Studi Kasus Universitas Dharma Andalas)

Dharma Andalas University is a change in form from the Dharma Andalas Higher School of Economics (STIE). Dharma Andalas University is one of the private universities in the city of Padang which is under the auspices of the Andalas Dharma Education Foundation (YPDA) which is directly fostered by the Andalas University alumni association. Dharma Andalas University is a private university so operational costs come from student tuition fees. Payment of tuition fees is an obligation of every student, considering that tuition fees are quite expensive, Dharma Andalas University provides relief for students to make tuition payments in installments. The purpose of this study is to assist the leadership in making a decision to pay installments using the Weighted Product method. In this study, the data processed is the data of students who apply for installment tuition payments at Dharma Andalas University. The data processing is to determine the criteria for each alternative by multiplying for attribute match reting, then rank with the attribute weight value which results in the vector value V, then the vector value V is ranked from the highest value to the lowest value where the highest value will be prioritized. Furthermore compared to the manual calculation method with a system that has been made, the results are the same with an accuracy rate of 97%, so that it can be recommended to the leadership to help make decisions about the payment of tuition installments.

Multi-Criteria Optimization in Operations Scheduling Applying Selected Priority Rules

The utilization of a specific priority rule in scheduling operations in flexible job shop systems strongly influences production goals. In a context of production control in real practice, production performance indicators are evaluated always en bloc. This paper addresses the multi-criteria evaluating five selected conflicting production objectives via scalar simulation-based optimization related to applied priority rule. It is connected to the discrete-event simulation model of a flexible job shop system with partially interchangeable workplaces, and it investigates the impact of three selected priority rules—FIFO (First In First Out), EDD (Earliest Due Date), and STR (Slack Time Remaining). In the definition of the multi-criteria objective function, two scalarization methods—Weighted Sum Method and Weighted Product Method—are employed in the optimization model. According to the observations, EDD and STR priority rules outperformed the FIFO rule regardless of the type of applied multi-criteria method for the investigated flexible job shop system. The results of the optimization experiments also indicate that the evaluation via applying multi-criteria optimization is relevant for identifying effective solutions in the design space when the specific priority rule is applied in the scheduling operations.

Decision support system for neglected elderly social assistance recipients using the Weighted Product method

Among the people of Indonesia is an aging society, with an elderly population of around 20 million people, or 8% of the total population. The data is the governments concern to provide assistance proposals. In the process of proposing assistance, this is still done by checking one by one the documents of prospective beneficiaries and matching them with existing criteria. This method requires quite a long time and makes an error because of subjectivity. The purpose of this study was carried out to implement the Weighted Product (WP) method into a decision support system that can determine the priority proposals for recipients of neglected elderly social assistance. RUP (Rational Unified Process) used in the software development method. The final results of this study obtained a decision support system that can assist in the process of determining the ranking of recipients of abandoned social assistance proposals by using the WP method that gets an accuracy of 76.74%.

Decision Support System using WP Algorithm for Teacher Selection

Education is the most important thing done by every country. Going to higher education cannot be done briefly. There are several stages in implementing this education. One of them is Junior High School (SMP) education. This research took place in one school. This education requires teachers who are professional and have good performance. The decision support system with the Weighted Product (WP) method can be used to help select teachers who can join the school. The Weighted Product method works by calculating five criteria as the basis for selecting and seeking teachers. The results of this method are the teacher ranking scores from highest to lowest. The benefits obtained; the school can make acceptance based on the system implemented.

Sistem Pendukung Keputusan Penentuan Penerima Bantuan Bedah Rumah Menggunakan Metode Weighted Product Pada Kecamatan Borbor

In rural areas there are still many residents 'houses that are unfit for habitation and this is due to the factor of the standard of living of people who are still living simply and have below average income, these conditions make many residents' houses unfit for habitation that need to be repaired through assistance Home renovation. The Weighted Product method can help in making decisions, but the calculation using the Weighted Product method only produces the largest value which will be selected as the best alternative. The design of decision-making for housing renovation assistance recipients at the Housing and Settlement Areas is based on criteria, namely Indonesian citizens, below average income, belonging to a family, owning or controlling land, not having a house or owning and living in an uninhabitable house using the Weighted Product method. Application design using the programming language PHP and MySQL

SISTEM PENDUKUNG KEPUTUSAN PENJUALAN KELAPA BULAT DI INDRAGIRI MENGGUNAKAN METODE WEIGTED PRODUCT (WP)

Decision Support System (DSS) is a system that can assist a person in making accurate decisions and targeted. Many problems can be solved by using CMS, one of which is a decision support system round oil sales. There are several methods that can be used in building a Weigted Produck SPK them. Weighted product method is one of several methods MADM (Multi attribute Decision Making). MADM method is a method of decision-making that is based on multiple attributes. This study uses a product weighted in determining the feasibility of a decision support system round oil sales.And there are some criteria on which to base decisions, among others, price, distance, trannfortasi. To create a new system that mengefesienkan time in processing the sales data, Provide an overview of a suitable price for oil where the coconut farmers will be marketed. This research is beneficial to coconut seller. As the clouds or the community is able to sell the coconut with high prices and minimal costs.
 

Penerapan Metode Weight Product (WP) Untuk Menentukan Pengalokasian Pendistribusian Telur Terbaik Di Kecamatan Pantai Labu

Distribution is an important thing in business activities, especially for distribution companies or distributors. Delays in distribution will reduce customer service levels. The method used is WP (Weighted Product), because Weighted product is one of the right choice of method to solve complex problems and Weighted Product can produce structured calculations on problems that have sub-sub-criteria for the decision to be built. from this research is to determine the best egg distribution location in the pumpkin beach district using the Weighted Product (WP) method. The Weighted Product (WP) method is a multi-criteria analysis decision and is a multi-criteria decision-making method. WP is a set of alternative decisions described in terms of several criteria. In the WP method there is no need for matrix manipulation because this method multiplies the assessment results of each attribute. The results of the research are based on the results of the ranking using the Weighted Product (WP) method to determine the best distribution location in the pumpkin beach district, so the greatest value is Grosir 2 with a value of 0.2309 which can be chosen to be the best distribution location. weights so that they can be used with that method.