Sum Of Products Research Articles

An integrated multi-criteria decision-making framework for the selection of sustainable biodegradable polymer for food packaging applications.

Manifold aspects, such as the booming market for superior quality food items with increased shelf life and the escalating concern to mitigate plastic trash due to plastic packaging have motivated researchers and food industrialists to explore sustainable eco-friendly packaging solutions extensively. Biodegradable polymers are being rigorously investigated to replace conventional plastics that are toxic, non-biodegradable, and detrimental to the marine ecosystem. The scientific methodology for the prudent selection of biodegradable polymer among the frequently used biopolymers for food packaging is being reported here. The data were extracted from the available literature. A hybrid multi-criteria decision-making framework has been developed to address the problem of material selection owing to the multiple conflicting criteria involved. Assignment of equal weights to primary criteria was selected to establish the criteria weights. Different decision-making techniques (weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment method (WASPAS), and technique for order of preference by similarity to ideal solution (TOPSIS)) were used for the comparative analysis. Thereon, the different ranks obtained for each alternative were aggregated using the degree of membership technique. The robustness of the solution was checked using sensitivity analysis which was conducted by varying weights of importance using the entropy method, the CRITIC method, and the equal weights to secondary criteria. The analysis reported polylactic acid (PLA) as the most reliable polymer for food packaging applications. The sensitivity analysis concluded that the solution was without prejudice, and water vapor permeation rating was the most critical decision criterion in deciding the optimal polymer.

Strategic Assessment of Sustainable Aviation Fuel Production Technologies Using WASPAS Method

In the last 25 years, the amount of international passenger air traffic has tripled, and it is anticipated that this rapid growth will continue in the upcoming 25 years. Although it has significant economic advantages, the expansion of the aviation sector may also have more negative social and environmental effects. “Sustainable aviation policy" is created as a "balanced plan" to address this. While highlighting the financial advantages of the aviation industry, it seeks to address the significant environmental effects of its expansion. This definition of "sustainable aviation" is contested by other organizations, because there is little consensus among nongovernmental Organizations and the aviation sector. “Standard aviation policy" is therefore in dispute, and several parties attempt to change it to suit their own objectives. In order to build policies for sustainable aviation, competing environmental discourses were identified and examined through a classification exercise assisted by rhetorical, stylistic, and thematic analysis. An approach for making judgments involving multiple attributes, which ensures the consistency requirements of each reciprocal matrix, is the Analytical Hierarchy Process (AHP). Recently, a new method called the Weighted Aggregates Sum Product Assessment System (WASPAS) has been introduced in the literature. WASPAS combines the principles of the weighted product sum and basic aggregate weighting techniques. Linguistic assessments are typically chosen as in decision-making matrix when there is uncertainty and ambiguity. As a result, the purpose of this study is to synthesis WASPAS approaches and adds to the literature. The challenge of outsourcing producer evaluation and selection is resolved using the suggested approach. The options available are HEFA_SO, HEFA_YG, VB_Stover, VB_Pine, ATJ_Stover, ATJ_Pine, DSHC_Stover, DSHC_Pine, FP_Stover, FP_Pine, GFT_Stover, and GFT_Pine. The criteria used for evaluation are TCI (Total Capital Investment in MM$), OPEX (Operating Expenses in MM$), MFSP ($ L− 1) (Minimum Fuel Selling Price in dollars per liter), and MFSP ($ Mg− 1) (Minimum Fuel Selling Price in dollars per mega gram).

An integrated intuitionistic dense fuzzy Entropy-COPRAS-WASPAS approach for manufacturing robot selection

Manufacturing robots are used for industrial purposes. Robots used for manufacturing purpose have the power to create products from raw materials and are capable of operating endlessly even in lights-out situations for continuous production. Manufacturing robots can be used in applications like arc welding, spot welding, materials handling, machine tending, painting, machine cutting and so on. Selecting a robot for a given application is complex. However, robot selection is used in selecting a suitable robot for the preferred output with specific application ability. In recent years, many authors used multi-criteria decision-making methods to select a robot that meets the need. This study presents a hybrid model by integrating complex proportional assessment (COPRAS) with the weighted aggregates sum product assessment (WASPAS) methods in intuitionistic dense fuzzy set to select a manufacturing robot for a particular application. Intuitionistic dense fuzzy entropy is used in calculating the weights for the criteria and intuitionistic dense fuzzy COPRAS and WASPAS are used in ranking the best alternatives where in the optimum types of robots are obtained. Here, intuitionistic dense fuzzy sets are used as it is capable of dealing with the intangible factors while selecting a robot. On the basis of the manufacturing robot selection, two comparisons are given. First, the results are compared with various [Formula: see text] values between 0 and 1 and second the results are compared with the fuzzy set, intuitionistic fuzzy set and the dense fuzzy set to show the effectiveness of the proposed methodology with the intuitionistic dense fuzzy set.

Biofuel Production Plant Location Selection Using Integrated Picture Fuzzy Weighted Aggregated Sum Product Assessment Framework

As an alternative for sustainable transportation and economic development, biofuels are being promoted as renewable and climate-friendly resources of energy which can help to reduce the consumption of fossil fuels, some pollutant emissions and mitigate the climate change impact from transport. With the successful development of the biofuel industry, the location selection for biofuel production plant is one of the major concerns for the governments and policymakers. Finding locations for the construction of new biofuel production plants includes several dimensions of sustainability, including economic, social and environmental; therefore, this selection process can be considered a complex multi-criteria decision-making problem with uncertainty. As an advanced version of fuzzy set, picture fuzzy set (PiFS) is one of the comprehensive tools to handle the uncertainty with the account of truth, abstinence and falsity membership degrees. Thus, this work proposes a new decision-making methodology based on the weighted aggregated sum product assessment (WASPAS) approach and similarity measure with picture fuzzy information. By using picture fuzzy numbers, the proposed methodology can effectively address the uncertain information and qualitative data that often occurs in practical applications. In this methodology, a picture fuzzy similarity measure-based weighting model is proposed to find the criteria weights under picture fuzzy environment. For this purpose, a new similarity measure is introduced to measure the degree of similarity between picture fuzzy numbers. Moreover, the rank of the options is determined based on an integrated WASPAS approach under a PiFS context. To illustrate the effectiveness of the proposed framework, a case study of biofuel production plant location selection is presented from the picture fuzzy perspective. Further, a comparison with existing methods is conducted to test the validity and applicability of the obtained results. The sensitivity analysis is performed with respect to different values of decision parameter, which proves the stability, robustness, and practicality of the proposed approach. The presented picture fuzzy WASPAS approach feasibly enables the policymakers to identify the most desirable location for a biofuel production plant by considering the social, environmental and economic aspects of sustainability.

Application of weighted aggregated sum product assessment and geographical information system for urban development zoning

Application of weighted aggregated sum product assessment and geographical information system for urban development zoning

Circular supply chain implementation performance measurement framework: a comparative case analysis

Circular supply chain (CSC) has gained traction amongst academicians, practitioners, and policymakers across the world due to its wide range of sustainable benefits to business organizations. CSC amalgamates the circular economy (CE) thinking into supply chain operations of industry and improves the three sustainability dimensions of the organizational performance. However, manufacturing organizations in developing economies are finding difficult to measure the impact of CSC adoption on organizational performance. Therefore, this research aims to explore the CSC performance measures and to develop a performance measurement framework for assessing the impact of CSC implementation on business organizational performance. This research proposes a modified balanced scorecard (BSC) based hybrid framework of Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy weighted aggregated sum product assessment (PF-WASPAS) methods. The effectiveness of the proposed framework is validated through an empirical case study of an Indian manufacturing company. Further, the proposed framework is tested with other three Indian manufacturing companies and their results are compared with the case company. The finding reveals that the overall performance of empirical case company is 62.88% based on define set of performance measures and performance of other three companies are 64.51, 56.47, and 52.43%, respectively. The outcomes of this study shows that the proposed research framework is more reliable, consistent, and robust with circular perspectives and it also offers an effective way to measure and benchmark the impact of CSC adoption on organizational performance. This research contributes to the knowledge of CSC management for achieving sustainability in the business environment.

Improvement Ranking Accuracy of Weighted Aggregated Sum Product Assessment With Lambda Variable

Improvement Ranking Accuracy of Weighted Aggregated Sum Product Assessment With Lambda Variable

Analyzing Healthcare and Wellness Products’ Quality Embedded in Online Customer Reviews: Assessment with a Hybrid Fuzzy LMAW and Fermatean Fuzzy WASPAS Method

With the high impetus in global digitization, online shopping (OS) is anticipated to increase further in the near future. Contrary to this anticipation, however, recent studies have emphasized a certain amount of drop in a considerable number of online purchasing transactions in 2022. One of the reasons might be customer dissatisfaction. To analyze online customer reviews, manual sentiment analysis was conducted to detect which quality criteria cause the dissatisfaction of online shoppers. The quality parameters are categorized into product, delivery service, and aftersales service quality (SQ). These main quality criteria are then divided into sub-factors. Eight health category products, including personal care products, wellness products, and household cleaners, were ranked to the importance of the sub-quality parameters using the multi-criteria decision-making (MCDM) method. In this study, a new hybrid MCDM method was also proposed, which combines the triangular fuzzy logarithm methodology of additive weights (F-LMAW) and the Fermatean fuzzy weighted aggregated sum product assessment method (FF-WASPAS). The study reveals that the most important criteria were products’ performance, as well as their side effects, pay-back, and change possibility, while the products’ reasonable price was the least important criterion. Aftersales service was more significant than delivery service. Furthermore, moisturizing creams and medical pillows were the most popular products bought in OS compared with hair conditioners and washing liquids. The study’s multifold contributions and managerial implications were elaborately discussed.

Prioritizing the Solutions to Overcome Lean Six Sigma 4.0 Challenges in SMEs: A Contemporary Research Framework to Enhance Business Operations

The research aims to prioritize the solutions to overcome the challenges of Lean Six Sigma 4.0 (LSS 4.0). It is an integrated approach with lean, six sigma, and Industry 4.0 attributes. This integrated approach helps to achieve organizational excellence and sustainable development goals. Fuzzy stepwise weight assessment ratio analysis (fuzzy-SWARA) was used to estimate the weights of LSS 4.0 challenges. Furthermore, fuzzy-weighted aggregated sum product assessment (fuzzy-WASPAS) was used to prioritize the LSS 4.0 solutions. In this study, 23 challenges and 23 solutions of LSS 4.0 implementation were identified with the help of an extensive literature review and discussion with the area experts having vast experience. Management participation in LSS 4.0 implementation and planning for long-term vision were found to be the topmost solutions to overcome LSS 4.0 challenges. To the best of our knowledge, to date, the prioritization of solutions to overcome the challenges of LSS 4.0 have not yet been investigated in the developing economic context.

On the degree of approximation of Fourier series based on a certain class of product deferred summability means

In this article, we first introduce and study the basic concepts of deferred Euler and deferred Nörlund product summability means of Fourier series of arbitrary periodic functions. We then estimate the degree of approximation of Fourier series of an arbitrary periodic function in the generalized Zygmund class based upon our proposed product deferred summability means. Moreover, we discuss some important concluding remarks in connection with our findings. Finally, we suggest a direction for future studies on this subject, which are based upon the basic notion of statistical product deferred summability means of Fourier series of arbitrary periodic functions in the generalized Zygmund class.

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse

Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online. Integrating public transportation into the metaverse could improve services and collect user data. This article introduces a hybrid decision-making framework for prioritizing sustainable public transportation in Metaverse under q-rung orthopair fuzzy set (q-ROFS) context. In this regard, first, q-rung orthopair fuzzy (q-ROF) generalized Dombi weighted aggregation operators and their characteristics are developed to aggregate the q-ROF information. Second, a q-ROF information-based method using the removal effects of criteria and stepwise weight assessment ratio analysis models are proposed to find the objective and subjective weights of criteria, respectively. Then, a combined weighting model is taken to determine the final weights of the criteria. Third, the weighted sum product method is extended to q-ROFS context by considering the double normalization procedures, the proposed operators and integrated weighting model. This method has taken the advantages of two normalization processes and four utility measures that approve the effect of benefit and cost criteria by using weighted sum and weighted product models. Next, to demonstrate the practicality and effectiveness of the presented method, a case study of sustainable public transportation in metaverse is presented in the context of q-ROFSs. The findings of this article confirms that the proposed model can recommend more feasible performance while facing numerous influencing factors and input uncertainties, and thus, provides a wider range of applications.

Penerapan Metode Metode Weighted Aggregated Sum Product Assesment (WASPAS) dalam Pemilihan Supplier

The most important activity carried out by companies is to make a profit. Very subjective decision making can lead to errors in supplier selection. In supplier selection, the purchasing department often experiences difficulties in determining the selection of suppliers to be given orders because of the large number of suppliers and the criteria used in the assessment. Therefore, a supplier selection decision support system is needed so that the purchasing department can determine the best supplier. This decision support system uses the Weighted Aggregated Sum Product Assessment (WASPAS) method where this method can be used to overcome existing problems, because there are many alternatives and criteria that must be considered in selecting suppliers such as: price, quality, availability of goods and others. This research will raise a case that is looking for the best alternative based on predetermined criteria. In order to find the weight of each attribute, then a ranking process is carried out which will determine the optimal alternative, namely the best supplier.

Application of Fuzzy TRUST CRADIS Method for Selection of Sustainable Suppliers in Agribusiness

This study deals with the selection of a sustainable supplier on the example of the agribusiness company Mamex from Bosnia and Herzegovina. The main problem of this research is the selection of a sustainable supplier as a part of the sustainable strategy of the Mamex company. One of the prerequisites is that suppliers must present sustainability principles in business by having an appropriate certificate. The results of the selection of sustainable suppliers are completed using a new hybrid fuzzy approach with the methods IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) and fuzzy TRUST (multi-normalization multi-distance assessment) CRADIS (compromise ranking of alternatives from distance to ideal solution) methods. The innovative approach is reflected in the use of a combination of these methods, especially by combining the TRUST and CRADIS methods into one method. The IMF SWARA method shows that the most important main criterion is the economic criterion, while the least important is the social criterion. By applying the fuzzy TRUST CRADIS method, it is found that out of the observed six suppliers, the second supplier has the best indicators. These results are confirmed by other fuzzy methods: MABAC (multi-attributive border approximation area comparison), WASPAS (weighted aggregated sum product assessment), fuzzy SAW (simple additive weighting), MARCOS (measurement of alternatives and ranking according to compromise solution), ARAS (a new additive ratio assessment), and TOPSIS (technique for order preference by similarity to an ideal solution). This research shows that applying more normalization when ranking alternatives reduces the influence of individual normalizations, and this approach should be used in future research.

GIS-based multi-criteria decision making under Silica Saturation Index (SSI) for selecting the best direct use scenarios for geothermal resources in Central and Southern Rift Valley, Kenya

Direct use (DU) of geothermal energy is site-specific and majorly dictated by economics. Even with the availability of high enthalpy geothermal fluids, DU could still be curtailed by fluid pH, salinity, and silica content. Selecting economically viable best direct use (DU) scenarios for a given geothermal resource needs meticulous matching of geothermal resource characteristics to the nearby economic activities and local infrastructure. Silica saturation index (SSI) analysis should also be factored in to avoid silica scaling of DU facilities and reinjection well. There is a lack of a visual framework for incorporating all the necessary criteria for selecting the best DU scenarios, hence the motivation of this research. The current study employed a GIS-based multi-criteria decision making (MCDM) method: a hybrid of the analytical hierarchy process (AHP) method with the weighted aggregated sum product assessment (WASPAS) method. The model analyzed nine utilization scenarios against eleven criteria to select the best DU scenarios for six high-enthalpy quaternary volcanoes in the central and southern Kenyan rift: Menengai, Elementaita, Eburru, Olkaria, Longonot, and Suswa. The best typical DU schemes identified were horticultural greenhouse warming, spa, and crop drying. The model was validated with existing DU case studies to gauge its ability to predict suitable utilization methods. There was a good matching between the model's selection and existing case studies implicating the synergistic merger of GIS-based MCDM methods and SSI as a robust tool for planning and carrying out the feasibility study for DU of geothermal energy.

A comparative assessment of Conventional and Rough-Based Multi-Criteria methods for failure mode and effects analysis of Root canal treatment

This paper presents failure mode and effects analysis (FMEA) of a dentistry procedure i.e. root canal treatment (RCT) The aims of the present study are as follows: (i) to identify the potential failure modes (FMs) associated with RCT and (ii) to determine the ranks of the identified FMs to represent their degree of severity for the failure of the RCT procedure. Sixteen potential FMs of RCT are identified with the help of five members of the FMEA team. The FMs are evaluated with respect to three risk factors (RFs) i.e. severity (S), occurrence (O), and detection (D). Opinions regarding the importance of RFs on a scale of 1-9 and importance of each RF for each FM on a scale of 1-10 are gathered from FMEA team members. Subsequently, the obtained information is transformed into rough numbers in order to take care of the vagueness and inconsistency present in the human judgement. Further, weights of the RFs, in terms of rough numbers, are determined. Subsequently, four rough-based multi-criteria decision making (MCDM) methods i.e. rough weighted aggregated sum product assessment (R-WASPAS), rough additive ratio assessment (R-ARAS), rough TOPSIS (R-TOPSIS), and rough VIKOR (R-VIKOR) are used to rank the FMs. The final ranking of the FMs is derived using the grade average integrated ranking method. The results reveal that “Missed canal” and “Root canal under fillings” are the most and the least critical FMs, respectively. Further, the top 20%, the next 30%, and the last 50% FMs are categorized into highly, fairly, and the least critical groups. A few important suggestions are proposed to reduce the risks of the top 20% FMs. The results of the study may be useful for the professionals involved in the RCT and may help them in properly planning and successfully executing the RCT procedure.

Evaluation of Open and Distance Education Websites: A Hybrid Multi-Criteria Decision-Making Approach

Higher education institutions and organizations have new opportunities thanks to digital technologies. Universities worldwide seek to provide the most outstanding available student services, particularly those that promote student achievements in their program objectives. The World Wide Web, in particular, has advanced Internet-based information technology, dramatically impacting all types of education delivery. Therefore, it has rapidly expanded the Open and Distance Education (ODE) system. This study aims to evaluate the performance of the higher institutions’ ODE websites within 5 main criteria (Navigation, Accessibility, Design, Content Readability, and Announcements) and 20 sub-criteria. The case study has taken place in Türkiye, and the institutions available for the study were Anadolu University ODE; Ankara University ODE; Ataturk University ODE; Istanbul University ODE. This paper utilized two Multi-criteria Decision Making (MCDM) techniques: Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (Fuzzy WASPAS). The criteria were determined with the help of the literature, which was searched, then categorized and weighted with Fuzzy AHP. The evaluation step in the process was conducted with Fuzzy WASPAS to select the best-performed alternative ODE websites. According to research findings, Design is the essential criterion, followed by Accessibility, Content Readability, Announcement, and Navigation criteria. Our research identified and recommended the development areas for further research and proposed theoretical and practical implications as well as managerial decisions to be considered for the ODE website improvements.

A Novel Hybrid Approach for Evaluation of Resilient 4PL Provider for E-Commerce

Today, e-commerce allows consumers access to a wide range of products on the global market, quick and convenient selection, purchase, ordering, and payment of products. Consumers expect to receive the products they bought online, very quickly, at favorable prices and delivery conditions. However, it is often not possible, because global supply chains are realized over large geographical distances, with a whole range of disruptions and challenges that need to be successfully overcome. With the aim of efficiently delivering products and meeting consumer expectations, retailers often leave this job to specialized and resilient logistics companies better known as fourth-party logistics (4PL) providers. On this occasion, it is necessary to conduct a very thorough evaluation of the logistics provider based on appropriate scientific approaches and models. In this paper, a new hybrid approach for the evaluation of resilient 4PLs was proposed, with the aim of providing appropriate support for the decision-making system on product delivery in e-commerce. The hybrid approach is based on the fuzzy full consistency method (FUCOM), evidence theory (ET), rule-based transformation (RBT), and weighted aggregated sum product assessment (WASPAS) methods. The proposed model was tested and applied to an example of an online retailer, which sells and delivers products originating from China and the countries of the Far East to the market of the Western Balkans and Southeastern Europe. Five 4PL providers were evaluated and ranked according to 10 criteria. According to the results, the most important criterion was IT capabilities, while the least important was cooperation. Additionally, sensitivity analysis was carried out to determine whether the final ranking will change. The obtained results showed that the proposed methodology represents a valuable decision support tool that can be used for solving not only the problem described in this paper but also similar problems.

A combined multi-criteria decision-making approach for the selection of carbon-based nanomaterials in phase change materials

Phase change materials (PCMs) provide renewable and sustainable energy by storing non-continuous renewable energy sources and enabling them to be used on demand. PCMs used in thermal energy storage must provide certain properties to efficiently charge and discharge energy when needed. Because of their unique properties, carbon-based nanomaterials are of interest in improving the properties of PCMs. There are critical parameters for the selection of carbon-based nanomaterials as a PCM additive. At this point, Multi-Criteria Decision Making (MCDM) methodology is very useful. In this study, Multi-Objective Optimization based on Ratio Analysis plus full multiplicative form (MULTIMOORA) and Weighted Aggregated Sum Product Assessment (WASPAS) as the MCDM methods were used for the rating of carbon-based additives in PCMs. Seven evaluation criteria were determined, namely melting point temperature change, latent heat change, thermal conductivity enhancement, leakage, greenhouse gas, cost, and agglomeration. The criterion weights were determined by objective and subjective methods, namely entropy and ranking methods, respectively. According to the results accomplished by the entropy method, the greenhouse gas was determined as the most important criterion, while the most important criterion according to the ranking was thermal conductivity. With each of these criteria weights, the alternatives were ranked by using MULTIMOORA and WASPAS methods. Expanded graphite was found to be the most suitable material to be added to PCMs according to MCDM results. In addition, a sensitivity analysis was carried out to see the effect of changes that may occur between the criteria determined to define each alternative, and according to the results of the sensitivity analysis, expanded graphite was found to be the best alternative.

Application of multi-criteria decision-making techniques to develop modify-leachate pollution index.

The modify-leachate pollution index (m-LPI) was developed with the help of multi-criteria decision-making (MCDM) technique based on the landfill leachate pollution potential by considering the limitations of traditional methodologies. Across India, twenty major landfill sites (LS) were selected for which m-LPI was assessed. Twenty-five experts' opinions were taken for the determination of nine input criteria weights, such as pH, COD, TDS, Cl, Zn, Pb, Cu, annual rainfall, and landfill age with the help of a questionnaire-based survey. In this context, six MCDM techniques were investigated to develop m-LPI. Among different MCDM techniques selected, weighted aggregated sum product assessment (WASPAS) proved to be an effective one with an R2 value of 0.828 and IA value of 0.813. WASPAS gave first and last rank to Kadapa, Andhra Pradesh LS (1.677) and Turbhe, Maharashtra LS (2.193), respectively. The investigation revealed that around 90% of LS considered in the present study require leachate treatment. WASPAS sensitivity analysis showed that the least sensitive criteria were pH, followed by Cl and Zn. The m-LPI can be used by researchers and scientists to investigate and evaluate various challenges involved with solid waste management in LS.

Prioritization of habitat construction materials on Mars based on multi-criteria decision-making

Mars is the most accessible planet in the solar system for habitation and could serve as a base for exploring more distant planets. Space agencies and scientists worldwide continue exploring Mars to gain more geologic and atmospheric information in preparation for constructing space habitats. The harsh planetary conditions of Mars require the development of new or modified methods for building infrastructure and formulating binders. Each type of concrete has advantages and disadvantages, and we need to find the best binder for use in construction on Mars.In this study, eight construction materials, including Ordinary Portland cement (OPC), sulfur concrete, geopolymer, sintered material, polymer-bound regolith, products of geo-thermite reactions, regolith-based magnesium oxychloride, and microbial-induced calcite precipitation, are reviewed according to 14 criteria. The criteria are availability, shipping, water requirement, technical working conditions, curing time, temperature, total required energy, strength, durability, cosmic radiation shield (density and hydrogen content), additives needed, sustainability, safety, and recyclability. We applied the Fuzzy Analytic Hierarchy Process (AHP) approach to assign a weighting to each criterion. Finally, we used three multi-criteria decision-making (MCDM) methods to determine the most suitable mortar for construction under the harsh conditions on Mars.The results show that if the general conditions of Mars are considered uniform such as different temperatures and geologies dependent on location, geopolymer concrete is the best material for construction based on Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and Weighted Aggregates Sum Product Assessment (WASPAS) methods, and sintered material concrete and sulfur concrete are equally ranked second. Correspondingly, five concretes of Portland cement, products of geo-thermite reactions, regolith-based magnesium oxychloride, polymer-bound regolith, and microbial-induced calcite precipitation are the most efficient construction materials, respectively. In addition, using the Fuzzy AHP method, the criteria of shipping and sustainability have the highest and lowest weighting, respectively, in the decision-making process. The use of MCDM methods and inductive analysis provides a scientific approach that enables the comparison of the potential of several space concrete materials for better decision making in future research and construction within the next 10–20 years.