Integrating Subjective–Objective Weights Consideration and a Combined Compromise Solution Method for Handling Supplier Selection Issues

Chang, Kuei-Hu

doi:10.3390/systems11020074

Cited by 22 publications

(15 citation statements)

References 49 publications

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“…Value calculation S i based on the weight criteria of each alternative value using (7), while the calculation of values P i using (8). Here is an example calculation for calculating values S i and P i For student sample 1.…”

Section: Ranking Students Using the Combined Compromise Solution Methodsmentioning

confidence: 99%

“…Combined Compromise Solution Method is a decision-making approach that aims to find balanced and optimal solutions when faced with complex problems involving several conflicting criteria or goals [7]. This method combines elements from various compromise-based techniques to achieve the most satisfactory solution of various diverse criteria.…”

Section: Introductionmentioning

confidence: 99%

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Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method

Hadad,

Darwis,

Qurania

et al. 2023

JoSYC

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The problems that occur in determining the best students based on the learning process of the assessment process are still based on the academic scores of students and have not considered the learning process carried out by students. This study aims to apply the Combined Compromise Solution (CoCoSo) method in ranking students based on learning assessment using criteria of academic progress, problem-solving ability, mastery of skills, independence, motivation and positive attitude, adaptability, and for weighting the criteria used to apply the Simplified PIPRECIA (Pivot Pairwise Relative Criteria Importance Assessment) weighting method. The Simplified PIPRECIA method is particularly useful in situations where there are diverse criteria to be considered and complex decisions must be made taking into account the preferences and interests of various stakeholders. The Combined Compromise Solution Method is useful when there are conflicts in various criteria that need to be considered in the decision-making process. With this approach, each criterion is weighted and carefully calculated, so that the resulting decisions reflect comprehensive considerations that can meet various requirements and constraints. Based on the results of student rankings based on assessments in learning in the table above, rank 1 was obtained by students with Student ID 1211313 with a final grade of 6.487, rank 2 was obtained by students with Student ID 1211316 with a final grade of 6.402, and rank 3 was obtained by students with Student ID 1211314 with a final grade of 5.814.

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Section: Ranking Students Using the Combined Compromise Solution Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method

Hadad,

Darwis,

Qurania

et al. 2023

JoSYC

View full text Add to dashboard Cite

show abstract

“…Economic criteria are at the top of the list as the level of importance in the study. Chang (2023) 2-tuple linguistic representation method and CoCoSo and SWARA methods are implemented in the study in an integrated manner. The study is important for combining 3PL with different approaches.…”

Section: Literature Reviewsmentioning

confidence: 99%

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

Çizmecioğlu,

Boz,

Çalık

2024

Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi

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Companies are now considering the option of outsourcing as hedges cost and increase productivity by concentrating on their core skills to update their supply chains due to the competition in global markets, the use of higher-quality products, and rising customer demands. They must carefully select and identify which company to collaborate with before outsourcing their numerous logistics-related tasks to Third-Party Logistics Providers (3PLP). However, the existence of uncertainties and human influence in 3PLP selection problems leads to the usage of fuzzy or related set theories. By incorporating Multi-Criteria Decision Making (MCDM) methods with fuzzy numbers and grey numbers, practical tools can be composed to address the imprecision of subjective judgments. From this perspective, an integrated MCDM model is proposed to provide insight into the 3PLP evaluation and selection. The model comprises an integrated framework with Pythagorean fuzzy numbers and grey numbers. The proposed model has applied a 3PLP a company in the food industry to fulfill customer orders. The evaluation criteria weights are calculated using the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) method, and the 3PLPs are ranked using the grey Technique for Order Preference by Similarity to Ideal Solution (GTOPSIS) methods to find the best 3PLP. The analyses and findings concluded that cost, service quality, and on-time delivery were the three criteria that had the greatest influence

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“…There are different methods of weighting criteria, depending on whether the weights are derived from the decision maker's judgments (subjective methods) [36][37][38], from the alternative data (objective methods) [39][40][41][42][43], or a combination of both (hybrid methods) [44][45][46]. Some examples of subjective methods are the analytic hierarchy process (AHP), the analytic network process (ANP), and the best-worst method (BWM) [37,38].…”

Section: Multi-criteria Decision Making (Mcdm) Tools and Applicationsmentioning

confidence: 99%

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

Abdulaal,

Makki,

Al-Filali

2023

Sustainability

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Financial sustainability is a crucial challenge for higher education institutions due to various challenges and constraints. This necessitates determining their investment priorities accurately based on multiple criteria to ensure a sustainable income. This study puts forward a novel, hybrid approach for prioritizing the financial sustainability plan investment initiatives in higher education institutions using an updated method for the removal effects of criteria with a geometric mean (MEREC-G) and ranking the alternatives based on the trace-to-median index (RATMI) techniques. The developed approach is applied to the strategic financial sustainability plan investment initiatives at King Abdulaziz University (KAU). The study’s results prioritized the investment initiatives based on quantitative and qualitative criteria with different weights. Results also revealed the potential initiatives that can be considered quick-winning initiatives. Furthermore, results determined one high-potential initiative for each of KAU’s financial sustainability plan pillars. Based on the results, the study recommended four steps that assist KAU in ranking the initiatives effectively. Implications of the novel approach include assisting decision makers in higher education institutions to evaluate investment initiative priorities based on objective and subjective criteria to ensure the financial sustainability of their institutions.

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Integrating Subjective–Objective Weights Consideration and a Combined Compromise Solution Method for Handling Supplier Selection Issues

Cited by 22 publications

References 49 publications

Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method

Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

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