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This paper focuses on the implementation of Multi-Criteria Decision Making (MCDM) methods to evaluate the workforce competence in apparel industry. In this study, the Analytic Hierarchy Process (AHP), the Weighted Sum Model (WSM) and the Weighted Product Model (WPM) are suggested to solve workforce selection problem. The use of these methods is exp...
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... the MCDM, a complex decision problem is structured as a tree of interrelated decision elements (decision, criteria and alternatives) ( Figure 2). The objective, criteria and alternatives are arranged in a hierarchical structure similar to a family tree. ...
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... In this study, the Weighted Aggregated Sum Product Assessment (WASPA) approach, which encompasses both the Weighted Sum Model (WSM) and Weighted Product Model (WPM), is applied for drug ranking [49]. WSM and WPM are multi-criteria decision-making methods that allow for evaluation based on various criteria, each with its assigned weight. ...
Multiple sclerosis (MS) is a complex autoimmune disease of the central nervous system with an unknown etiology. While disease-modifying therapies can slow progression, there is a need for more effective treatments. Quantitative structure-activity relationship (QSAR) modeling using topological indices derived from chemical graph theory is a promising approach to rationally design new drugs for MS. Using a linear regression approach, we create models for Quantitative Structure-Property Relations (QSPR), detecting correlations between properties such as enthalpy of vaporization, flash point, molar weight, polarizability, molar volume, and complexity with certain degree related topological indices. We used a dataset related to drugs for MS with known properties for training the model and also for validation. To prioritize the most promising drug candidates, we used multi-criteria decision making based on the predicted properties and topological indices, allowing for more informed decisions. The 12 drug candidates were prioritized using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and two Weighted Aggregated Sum Product Assessment (WASPAS) methods. The rankings obtained using TOPSIS, WASPAS methods showed a high level of agreement among the results. This framework can be broadly applied to rationally design new therapeutics for complex diseases.
... Some other studies compare the use of AHP and WSM with other methods or compare their combination with other pairs of methods. Chourabi et al. (2019) used AHP, WSM and weighted product model (WPM) methods for workforce selection. Based on three criteria, each worker was evaluated in each work activity performed. ...
... The Weighted Sum Model (WSM) is a commonly employed approach, particularly in singledimensional problems [17]. It is grounded in the assumption of additive utility [18]. ...
The study aims to enhance the efficiency and effectiveness of Indian Railways (IR), a public sector infrastructural organization, through a performance analysis using various Multi-Criteria Decision-Making (MCDM) methods. Analyzing the Indian Railway’s open data, the study optimizes and ranks the zones of IR, offering insights for targeted investments to boost future performance. This research holds value by furnishing managerial perspectives, formulating strategies, and elevating the performance of different zones within Indian Railways. Through the identification of improvement areas, the analysis empowers decision-making, facilitating overall enhanced performance. MCDM, Indian Railways, Supply and demand, Data analysis.
... , System Redesigning to Creating Shared Value (SYRCS) [11], Weighted Sum Model (WSM) and Weighted Product Model (WPM) [12]. Additionally, the Analytical Hierarchy Process (AHP), which is sometimes integrated mathematically to be more developed-complicated technique and called Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) [13], is one of the most common methods of the MCDM processes used to look for the best solution for the complex problems mathematically with enough simplicity and sturdiness to get very reasonable results in comparison with the other methods [14]. ...
Al-Zubair district is located in the southwestern part of Basrah governorate and is considered the largest region administratively. Due to the rapid urbanization, rapid population growth, high waste productivity, and inexistence of landfills in Al-Zubair district, a sanitary landfill is needed to accommodate the produced solid waste and avoid any potential environmental problems. Hence, this study has been conducted to propose the best location for the sanitary landfill in Al-Zubair district and solve the waste problem scientifically, thus, a total of nine influencing criteria were adopted (water surface, agricultural lands, residential area, soil types, slope, roads, railways, power lines, and the oil fields) then processed using the Geographical Information System (GIS) to generate the map of suitability index and find the most candidate sites for the landfill based on the weights of criteria that derived from the Analytical Hierarchy Process (AHP) method. This study expected that the cumulative volume of solid waste through (2025-2050) would be about 18658259 m3, requiring a landfill’s area of at least 9.33 km2 to accommodate this volume. The most suitable candidate site for landfill was identified in the middle of Al-Zubair district with an area of 124.63 km2 in a way safe enough from the restricted zones of all criteria reducing the aesthetic destruction, physical pollution, travel time, construction cost and demonstrating the ability to accommodate the cumulative solid waste even after 2050 sustainably. The prior advantages
... The WSM method, as highlighted by Chourabi et al. [77], stands as one of the oldest and most extensively used models, particularly in situations where actual criterion values necessitate calculation, specifically in single-dimensional scenarios. In scenarios involving X options and Y factors, the first stage includes the creation of a decision matrix, which is then followed by the calculation of a normalized matrix with assigned weights considering the decision matrix in its normalized format. ...
... The WPM, as described by Chourabi et al. [77], shares similarities with the WSM, but it deviates in the computation of the weighted normalized matrix. Instead of using multiplication, the WPM method involves exponentiating the base (which is the normalized decision matrix) to a power equal to the relative weight assigned to the respective factor. ...
Roller-compacted concrete pavement (RCCP) is a brittle material with low tensile strength that does not contain steel or dowel bars. This, in addition to the rigidity of the RCCP, causes degradation or cracking before the RCCP reaches its service life. To improve the performance of the RCCP, crumb rubber (CR) can be used as an aggregate. Hence, in this study, CR was used to replace 0, 10, 20, and 30% of the fine aggregate in the RCCP. To mitigate the adverse effect of the CR on the properties of the RCCP, nano-silica (NS) was added by weight of cement in proportions of 0, 1, 2, and 3%. To select an optimal mix based on various performance criteria, multicriteria-based optimization was carried out using techniques such as order of preference by similarity to ideal solution, evaluation based on distance from average solution, weighted sum model, and weighted product model techniques. During experimentation, CR improved the consistency and reduced the mechanical and durability properties of the RCCP, while NS reduced the consistency and improved the mechanical and durability performance of the RCCP. The M2 mix (mix containing 0% CR and 1% NS) is consistently ranked as the best choice for multi-criteria decision-making techniques and sensitivity analyses due to its exceptional physical, mechanical, and durability attributes, ensuring reliability across various decision-making scenarios. This study provides insights into the decision-making process for the choice of appropriate RCCP mix produced with CR and NS for improved performance in pavement applications and the importance of utilizing waste tire rubber in concrete pavements to promote sustainability.
... Because of the problem's multi-criteria nature, Multi-Factor Decision Making (MCDM) approaches a potential solution because they take into account multiple criteria simultaneously, with varying thresholds and weights, and have the potential to produce a very satisfactory result, [13]. The step-by-step procedure of MCDM allows a group of decision-makers to reach a consensus. ...
... The step-by-step procedure of MCDM allows a group of decision-makers to reach a consensus. According to Chourabi et al. [13], decision science studies how people find and weigh options based on their personal preferences and goals. ...
p> Recruitment of workers must be done selectively to match the industry's needs for skills and competencies. How ever in Karawang area with the existing capacity performance capacity of the workforce; only 2.5 percent of total job seekers were successfully placed. This study aims to determine the selection criteria for industrial sector workers and provide recommendations for decision-making models for the selection process. To determine the priority criteria, the AHP method was used, followed by the TOPSIS method to calculate preferences. 3 respondents from the Employers' Association of Indonesia (APINDO), HRD-GA Association, and Dinas Tenaga Kerja & Transmigrasi Karawang were requested to act as the experts on employment matters for this study. It was found from this study that Educational, discipline, and skills are three of the fifteen priority criteria with the highest scores in succession. Individual Factors are also being recommended as a priority factor in selecting workers for the industrial sector.
Keywords – AHP, TOPSIS, MCDM, Industrial Sector, Workforce Selection. </p
... Recent work by Panda et al. [44] successfully used WSM and WPM to select the optimal mixture of various waste to produce concrete, which affirms that the MCDM techniques like WSM and WPM can be utilized in construction industry. WSM is one of the widely used method for determining the real values of the criterion in one dimensional scenario [45]. In this approach, the ranking of alternatives is determined by the highest sum of weighted normalized values obtained from the decision matrix, comprising "A" alternatives and "C" criteria, as depicted in Fig. 5. Fig. 4. Process of selecting an alternative using EDAS. ...
... The process of selecting an alternative using WPM is illustrated in Fig. 6. WPM is similar to WSM except in the way weighted normalized matrix is calculated [45]. The weighted normalized decision matrix is generated by exponentiating the weights of respective criteria by the performance values, resulting in the weighted normalized decision matrix. ...
... Chourabi et al. [48] used the 'Analytic Hierarchy Process (AHP)', WSM, and WPM for solving the workforce selection problem. Their experimental results showed that for all three methods, the same workforce classification was obtained. ...
The component’s measurement is a step in the manufacturing process where the product’s quality is significantly impacted by measurement uncertainty factors like operator skill, the number of measuring points, and the number of samples. To minimize the effects of measurement uncertainties, proper training, measuring instrument calibration, and standardized procedures are important. This work introduces a novel methodology ‘ANN-Regression-WASPAS’ used for estimating the uncertainty in hole diameter measurements. To measure the hole diameters, an experiment was designed using a Taguchi L27 orthogonal array. The ANN model was used for predicting the variations in hole diameter measurement. Further to this, a regression model was used to define the relationships between predicted values, actual values, and input factors. To mitigate measurement uncertainty, an estimated matrix was constructed by identifying the minimum values between the actual hole diameters and predicted hole diameters. The WASPAS method was used to optimize the obtained estimated matrix, and its Taguchi analysis was utilized for further confirmation. The experimental findings showed that the ‘ANN-Regression-WASPAS' method performed better than the traditional WASPAS approach using actual measured data, leading to a reduction of about − 1.67% in the uncertainty of hole diameters. Furthermore, the ANN-Regression approach decreased the percentage uncertainty of the actual measured data by − 5.62%. Finally, using the proposed approach, the uncertainty in hole diameter measurements was estimated to be 0.74%, which was regarded as satisfactory. The proposed methodology offers benefits to metrology researchers, quality control engineers, manufacturing engineers, design engineers, and optimization experts.
... Multi-criteria decision making is a framework utilized to evaluate and rank multiple alternatives based on multiple criteria or factors. Three commonly used MCDM are TOPSIS, VIKOR, and, FAHP used by many studies for decision-making processes [32][33][34][35][36]. In this research, the MCDMs, which includes TOPSIS, VIKOR, and FAHP, will be employed to evaluate and determine the best bamboo species for construction practice among the alternatives: Bullet, Deluxe, Choti Khunti, Premium, and Kanaat as per Fig. 12. ...
Bamboo, recognized as a versatile and eco-friendly construction material, has garnered substantial interest in recent times. This study undertakes a comprehensive assessment of five bamboo species—Bullet, Deluxe, Choti Khunti, Premium, and Kanaat. The primary objective is to evaluate their suitability for construction practices. The investigation initiates with an analysis of the bamboo species density and moisture content, shedding light on their physical properties and durability. The results reveal notable variations, with Choti Khunti bamboo boasting the highest density and the lowest moisture content, signifying its potential resilience. Additionally, the study scrutinizes the shrinkage behavior of these bamboo species concerning changes in thickness, diameter, and length under varying temperatures. Deluxe bamboo shows compressive and tensile strengths of 82.64 N/mm2 and 151.95 N/mm2, respectively. In the term of bending strength, Kanaat bamboo exhibits the highest bending strength of 319.26 N/mm2. To facilitate decision-making, three multi-criteria decision-making (MCDM) methods—TOPSIS, AHP, and VIKOR—are employed to rank these bamboo species based on their overall laboratory performance. The consensus among these methods places deluxe bamboo in the top position, followed by bullet, thus positioning deluxe as the most promising bamboo species for construction applications.
... Then, the multi-criteria decision-making methods such as Weighted Sum Method (WSM), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Combined Compromise Solution (CoCoSo)were chosen to classify the students given their ease of application. We chose these four multi-criteria decision-making methods as they are widely applied in several fields (Bagi et al., 2020 ;Hadikurniawati et al., 2019 ;Nayak, 2018 ;Rakotoarivelo, 2018 ;Rasoanaivo, 2020) as well as their ability to resolve several cases of multi-criteria problems (Choudhary et Mishra, 2021 ;Chourabi et al., 2018 ;Fomba, 2018 ;Irfan et al., 2022 ;Mojaver et al., 2022 ;Safrizal et al., 2019 ;Tscheikner-Gratl et al., 2017 ;Ulutaş et al., 2021). To study rank correlation, we used Kendall's rank correlation coefficient. ...
This article aims to analyse the management of student housing allocation within a university. The research consists of allocating university rooms to students. As many requests for accommodation are received by the university accommodation officer each year, it will be impossible to satisfy all the requests by housing all the students in the university. Thus, a technique for ranking students is essential to select them. We propose a decision support system based on multi-criteria decision support methods. For this purpose, we apply the three methods AHP, WSM and PROMETHEE. First, AHP to rank the weights of the criteria, then AHP, WSM and PROMETHEE to rank the students. The objective is to find out how each method ranks the students. Then to compare the ranking results obtained by these three methods. Finally, we choose the most appropriate method for this case. As a result, we find that each method can rank the students. Subsequently, AHP compared to WSM gives a very different ranking result and AHP compared to PROMETHEE has an equal half ranking. However, WSM compared to PROMETHEE has only a slight equality in ranking. From an application point of view, we observe that AHP is not very practical for multiple alternatives.
