Prospecting for polymetallic mineralization using step-wise weight assessment ratio analysis (SWARA) and fractal modeling in Aghkand Area, NW Iran

Shahsavar, Shiva; Rad, Alireza Jafari; Afzal, Peyman; Nezafati, Nima; Aghdam, Mohammadreza Akhavan

doi:10.1007/s12517-019-4304-5

Cited by 16 publications

(6 citation statements)

References 44 publications

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“…MCDM also includes stepwise weight assessment ratio analysis (SWARA). When using the SWARA technique, the criteria needs are ranked according to their importance by a group of experts [24]. Saaty [25] proposed the AHP method in the 1980s.…”

Section: Mcdm Toolsmentioning

confidence: 99%

Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI

Barasin,

Alqahtani,

Makki

2024

Logistics

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Background: The retail sector has experienced significant growth in recent years, necessitating efficient supply chain management and sustainable logistics practices. Evaluating the performance of retail warehouses is crucial for meeting customer expectations and enhancing operational efficiency. Methods: This study employed a combined multi-criteria decision-making (MCDM) approach, using the group best–worst method (G-BWM) for weighting criteria and ranking the alternatives based on the trace-to-median index (RATMI) for warehouse ranking. The performance criteria were cost, quality, time, productivity, and safety. Data were collected from four mega retail warehouses in the western region of Saudi Arabia for evaluation and analysis. Results: The evaluation of retail warehouse performance using the MCDM approach provided valuable insights for decision-makers and warehouse experts. The criteria weights were determined using the G-BWM, and the RATMI enabled the ranking of the warehouses based on their weighted performance scores. The results highlight the strengths and weaknesses of each warehouse, facilitating strategic planning, resource allocation, and operational improvements. Conclusions: This study presents a novel combined MCDM performance evaluation approach for retail warehouses. The study has implications for effective decision-making processes, resource allocation, and operational efficiency. Furthermore, it serves as a foundation for future research, exploring additional dimensions of warehouse performance and enabling sustainable logistics within the broader supply chain context.

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Section: Mcdm Toolsmentioning

confidence: 99%

Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI

Barasin,

Alqahtani,

Makki

2024

Logistics

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“…Values obtained within this step are shown in Table 6. The steps 7.1 and 7.2 ranked the alternatives by applying MCRAT and RAPS techniques using the Equations ( 17)- (23). Tables 7 and 8 show the ranking by the trace of the matrix (MCRAT) and perimeter similarity (RAPS) methods.…”

Section: Illustrative Numerical Examplementioning

confidence: 99%

“…The criteria needs are ranked in order of significance when employing the SWARA approach. The given criteria will be ranked by experts according to their importance [23]. For example, the most important criterion will be listed first, and the least important criterion will be included last.…”

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confidence: 99%

Two New Approaches (RAMS‐RATMI) in Multi‐Criteria Decision‐Making Tactics

Abdulaal

Bafail

2022

Journal of Mathematics

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When a decision must be made, a tool called multi-criteria decision-making (MCDM) is used to assess and select alternatives among numerous criteria. For a wide variety of complex problems, MCDM methods have demonstrated usefulness in finding the optimal solutions. Despite the abundance of MCDM methods available today, there has been slow progress in developing new methodologies in MCDM in the past decade. In this context, this paper presents new MCDM tools which ranks alternatives based on median similarity (RAMS) between optimal alternatives and other alternatives. RAMS is an extension to the most recently developed technique that used perimeter similarity (RAPS). This paper also introduces a further tool that combines the RAMS method with the multiple criteria ranking by alternative trace (MCRAT) methodology using a majority index and the concept of the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. This tool is ranking the alternatives based on the trace to median index (RATMI). An illustration of the use of RAMS and RATMI is given through a case study of ranking different materials for the selection of break booster valve body in a vehicle. The validity of the new two techniques was tested against seven well-known MCDM techniques (ARAS, SAW, TOPSIS, COPRAS, VIKOR, WASPAS, and MOORA) using fifteen real problems data taken from the literature. The RATMI technique was more promising than RAPS and RAMS for 87% and 93% of the fifteen difficulties, respectively, according to the results of the correlation coefficient tests between the developed techniques and the selected seven techniques.

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“…To the best of our knowledge, the SWARA method is adopted widely to derive the weight vector [20,48]. For example, the SWARA method was employed to prospect for polymetallic mineralization [49]. Further, Nakhaei, Bitarafan [50] utilized the SWARA method to assess the weights of indexes and sub-indexes.…”

Section: Determining the Subjective Weights Of Crsmentioning

confidence: 99%

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Song

Wang

2020

Mathematics

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Quality function deployment (QFD) is a useful design quality control tool in service enterprises and manufacturing enterprises. However, there are several issues in extant QFD frameworks, that is, in three aspects: description of evaluation information, weight determination of expert team members (TMs), and weight identification of customer requirements (CRs). In order to address these issues, a novel QFD framework is first proposed utilizing linguistic Z-numbers (LZNs) with integrated subjective and objective weights of TMs and CRs. The LZNs can represent uncertain information and the reliability of information in a specific way while the fuzzy numbers cannot. Moreover, the order relation analysis (G1) method and improved maximum consensus (MC) method are developed to get the subjective and objective weights of TMs, respectively. Further, the step-wise weight assessment ratio analysis (SWARA) method and statistical distance (SD) method are studied to acquire combined weights of CRs. Next, the proposed QFD framework is applied to a case of logistics service provider, which illustrates the availability and utility of the framework. Then, a sensitivity analysis is conducted to prove the reliability of the framework. Finally, two comparative analyses are performed to declare the advantages of the framework. Results indicate the proposed QFD framework is better than existing models.

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Prospecting for polymetallic mineralization using step-wise weight assessment ratio analysis (SWARA) and fractal modeling in Aghkand Area, NW Iran

Cited by 16 publications

References 44 publications

Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI

Performance Evaluation of Retail Warehouses: A Combined MCDM Approach Using G-BWM and RATMI

Two New Approaches (RAMS‐RATMI) in Multi‐Criteria Decision‐Making Tactics

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

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