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

Logistics, Год журнала: 2024, Номер 8(1), С. 10 - 10

Опубликована: Янв. 12, 2024

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

Язык: Английский

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An Integrated Approach of Fuzzy AHP-TOPSIS for Multi-Criteria Decision-Making in Industrial Robot Selection

Processes, Год журнала: 2024, Номер 12(8), С. 1723 - 1723

Опубликована: Авг. 16, 2024

In recent times, industrial robots have gained immense significance and popularity in various industries. They not only enhance labor safety reduce costs but also greatly improve productivity efficiency the production process. However, selecting most suitable robot for a specific process is complex task. There are numerous criteria to consider, often conflicting with each other, making decision-making challenging. order tackle this problem, multi-criteria (MCDM) method employed, which aids ranking decisions based on weights. traditional MCDM methods now considered outdated, researchers concentrating hybrid models that include multiple techniques problems effectively. This study presents an effective model integrates Fuzzy-AHP-TOPSIS evaluate choose best robot. The Fuzzy-AHP utilized establish set of weights evaluation criteria. Subsequently, proposed technique analyzes, prioritizes, chooses option from list factory. experimental results demonstrate by employing integrated fuzzy analytical hierarchy process, taking into account parameter expert judgment, identified worst alternatives factories. outcomes research possess significant implications selection can be applied fields cater requirements.

Язык: Английский

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Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA–WISP approach

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124674 - 124674

Опубликована: Июль 5, 2024

Язык: Английский

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An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102891 - 102891

Опубликована: Окт. 1, 2024

Язык: Английский

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Enhancing teacher recruitment and retention through decision-making models in education systems

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 30, 2025

Teacher recruitment and retention remain critical challenges for education systems worldwide, with far-reaching implications educational quality institutional sustainability. Traditional approaches often fail to address the complexity of these issues, neglecting interplay multiple conflicting criteria inherent uncertainty in decision-making. This gap necessitates advanced decision-making frameworks that can effectively evaluate prioritize strategies improving teacher retention. To bridge this gap, study introduces a novel framework integrating intuitionistic fuzzy sets (IFSs) handle more effectively. The Entropy method is employed compute objective weights, while ranking comparison (RANCOM) determines subjective ensuring balanced consideration qualitative quantitative factors. weighted aggregated sum product assessment (WASPAS) then applied. validated through sensitivity analysis assess its robustness comparative establish superiority over traditional methods. results identify Golden Ticket Salary Plan [Formula: see text] as optimal strategy, achieving highest (0.3654), followed by (0.3487), (0.3485), (0.3400), (0.2976) (0.2707). order follows: text]. These findings highlight significance structured optimizing workforce management. provides valuable insights policymakers administrators, sustainable advancements

Язык: Английский

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A Comprehensive Review of Virtual Commerce Applications for the Metaverse: Open Issues, Challenges and Recommended Solution for Benchmarking

International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 27

Опубликована: Май 19, 2025

Язык: Английский

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A fuzzy Delphi-AHP framework for identifying and prioritizing factors affecting students’ satisfaction in public high schools: Insights from the United Arab Emirates

Journal of Engineering Research, Год журнала: 2023, Номер unknown

Опубликована: Дек. 1, 2023

The aim of this investigation is to identify and prioritize factors impacting students' contentment in public high schools within the United Arab Emirates (UAE). study employs a mixed-method research approach through framework integrating fuzzy Delphi method Analytic Hierarchy Process (AHP). This facilitates explicit prioritization factors, leading dependable results. reveals that most critical influencing satisfaction UAE are assessment various support services, such as cafeteria facilities, availability administrative personnel during office hours, pertinent information curriculum. Additionally, an appealing learning environment, convenient transportation, IT support, teachers' role especially friendliness/approachability also play vital roles. Though study's findings may not be universally applicable, they hold potential valuable reference for broader applications across diverse educational sectors geographic locations. Consequently, these outcomes provide deeper insights into satisfaction, enabling school administrations develop comprehensive guidelines optimizing services offered their students.

Язык: Английский

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Prioritizing Strategic Objectives and Projects in Higher Education Institutions: A New Hybrid Fuzzy MEREC-G-TOPSIS Approach

IEEE Access, Год журнала: 2024, Номер 12, С. 89735 - 89753

Опубликована: Янв. 1, 2024

Higher education institutions (HEIs) aim to achieve a significant impact on research, learning, teaching, and community services, which are core elements of their strategic plans. Determining the priorities objectives related projects is crucial for successful implementation HEIs' However, such prioritization necessitates use effective methods capable dealing with several conflicting criteria in ambiguous inputs from decision-makers. Therefore, this study proposes new integrated approach prioritizing plans HEIs. The proposed utilizes hybrid fuzzy method based removal effects using geometric mean (fuzzy MEREC-G) technique order preference by similarity ideal solution TOPSIS). was tested transformation plan at one Saudi Arabian universities showed that it effectively prioritizes university's plan. Sensitivity analysis demonstrated approach's stability providing consistent rankings under different weights. offers decision-makers HEIs an tool assists

Язык: Английский

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Beyond ChatGPT: Benchmarking speech-recognition chatbots for language learning using a novel decision-making framework

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Дек. 27, 2024

Язык: Английский

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A total distance ranking approach to fuzzy AHP-based MCDM method for selecting sustainable manufacturing facility location

Journal of Intelligent & Fuzzy Systems, Год журнала: 2023, Номер 46(2), С. 3085 - 3115

Опубликована: Дек. 15, 2023

Selecting a sustainable facility location is crucial strategy for manufacturing companies to achieve long-term success in today’s competitive environment. Various quantitative and qualitative criteria with different importance multiple level structure must be considered aggregated assist the company decision-making. How determine these weights select locations have become research questions. To resolve this problem, paper proposes total distance ranking approach fuzzy analytic hierarchical process (AHP)-based decision-making (MCDM) method. Currently, membership functions of weighted ratings MCDM multilevel cannot developed. A method needed defuzzify those numbers used AHP better executing procedure. The related centroid on x-axis, y-axis distances centroids point two tangent lines number are proposed approach. Formulas will presented, some properties investigated derive formulas trapezoidal triangular numbers. comparison relevant methods made show advantages then applied linguistic values under obtain multi-level crisp criteria, respectively. final scores alternatives can obtained by aggregating their corresponding simple additive weighting result. numerical example conducted effectiveness model. Finally, Best-Worst (BWM) presented persuasiveness

Язык: Английский

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