WASPAS Optimization in Advanced Manufacturing

Perec, Andrzej; Radomska-Zalas, Aleksandra

doi:10.1016/j.procs.2022.09.175

Cited by 13 publications

(8 citation statements)

References 25 publications

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“…WASPAS suatu metode untuk mencari prioritas lokasi yang paling sesuai dengan menggunakan pembobotan [25]. Penggunaan metode ini melibatkan kombinasi dari dua model, yaitu Weighted Sum Model (WSM) dan Weighted Product Model (WPM), yang pada awalnya memerlukan normalisasi linier dari hasil elemen [26]…”

Section: Tahap Implementasi Metode Waspasunclassified

Penerapan Weighted Aggregated Sum Product Assessment dalam Mengevaluasi Perpanjangan Kontrak Pegawai

Nayang,

Sari

2024

SPK

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Penelitian ini bertujuan mengembangkan Sistem Pendukung Keputusan atau disingkat SPK dalam Bahasa Indonesia, dalam mengevaluasi perpanjangan kontrak pegawai. Proses penelitian melibatkan perhitungan manual, penentuan nilai kriteria, dan bobot kriteria. Tahap selanjutnya melibatkan persiapan matriks, normalisasi nilai matriks, penentuan nilai alternatif, perangkingan, dan evaluasi hasil, yang menunjukkan bahwa pegawai 9 dan 10 memegang peringkat tertinggi. Tujuan penelitian ini adalah meningkatkan objektivitas dan efisiensi evaluasi kinerja pegawai non-ASN. Metode WASPAS digunakan untuk memberikan bobot pada kriteria dan menghasilkan peringkat alternatif. Prosesnya mencakup pengujian sistem dengan perhitungan serupa dan memvalidasi efektivitas implementasi. Hasil penelitian menunjukkan bahwa sistem ini mampu memberikan peringkat kinerja pegawai secara otomatis. Proses pengujian sistem mendukung kehandalan SPK dalam memberikan evaluasi yang akurat dan konsisten.

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Section: Tahap Implementasi Metode Waspasunclassified

Penerapan Weighted Aggregated Sum Product Assessment dalam Mengevaluasi Perpanjangan Kontrak Pegawai

Nayang,

Sari

2024

SPK

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“…The first step in implementing WASPAS is to prepare the consideration of decision matrices (Perec & Radomska-Zalas, 2022), (Masoomi et al, 2022b), whose drawing process is identical to the arrangement of element matrices in pairwise matrices in AHP. Look at equation 6 which describes the decision matrices in WASPAS.…”

Section: Weight Aggregated Sum Product Assesment (Waspas)mentioning

confidence: 99%

“…Integration of the Weight Average Sum Product Assessment (WASPAS) method (Perec & Radomska-Zalas, 2022) can be done properly after finding the eigenvector quantity (Deretarla et al, 2023) as the weighting of the eight criteria. The role of the WASPAS method is to ensure a rating system (Masoomi et al, 2022a) of teacher candidates still elected.…”

Section: Introductionmentioning

confidence: 99%

“…The role of the WASPAS method is to ensure a rating system (Masoomi et al, 2022a) of teacher candidates still elected. This method in detail is a combination of two methods (Perec & Radomska-Zalas, 2022) a different one, namely the Weight Sum Model (WSM) (Debnath et al, 2023) and Weight Product Model (WPM) (Perec & Radomska-Zalas, 2022) which is taken by dividing the two results with a weight of 0.5 each to find a new solution in the ranking system, thus the process of selecting the ranking of permanent teacher candidates becomes gradual.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Selection of Permanent Teacher Appointments Recommended MCDM-AHP and WASPAS Methods

Akmaludin,

Sihombing,

Rinawati

et al. 2024

SinkrOn

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The teacher's role is very important in improving the national learning system. Many honorary teachers are empowered in curriculum development in a number of schools who want to collaborate in improving the quality of their students. The purpose of this research is to provide rewards to honorary teachers who have long served for the progress of the nation in the world of education to be appointed as permanent teachers. The selection method was carried out through a criteria weighting technique with the MCDM-AHP method which was integrated with the WASPAS method. The technique of developing the MCDM-AHP method as an eigenvector measurement concept with proof of optimization through mathematical algebra matrices that is correlated with the Expert Choice application to get optimal values. The result optimization value is integrated with the WASPAS method as a determinant of the ranking system for permanent teacher candidates. This method is a unification of the concepts of the weight product model and weight sum model methods, so that it has special stages to support decision making with the WASPAS method. The results of selecting twelve honorary teachers for appointment as permanent teachers can be seen from the acquisition of the Qi optimization value as a ranking. The results of support for decision making for permanent teacher appointments with the highest optimization value were given to TC04 with a weight of 0.878; followed by a significant difference in the next rank. The findings of this study provide evidence that the integration of the MCDM-AHP and WASPAS methods provides continuous optimization results for decision-making support.

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“…A further advantage of AWJ technology is its environmental friendliness, since amid the known treatment method of machining only plastic processing [ 11 , 12 ] and AWJ cutting [ 13 , 14 ] can stand up to these requirements.…”

Section: Introductionmentioning

confidence: 99%

Preliminary Studies into Cutting of a Novel Two Component 3D-Printed Stainless Steel–Polymer Composite Material by Abrasive Water Jet

et al. 2023

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Composites are materials with a heterogeneous structure, composed of two or more components with different properties. The properties of composites are never the sum or average of the properties of their components. There is a lot of research and many models on the different property assessments of composite materials. Composites are used as construction materials in key areas of technology, including in civil and mechanical engineering, aviation and space technology, and others. This work presents a modern composite material created with 3D-printing technology using the SLM method, and the possibility of its processing with one of the advanced manufacturing technologies, i.e., the Abrasive Water Jet (AWJ). Tests planned using DoE methods were carried out by changing control parameters such as the pressure, abrasive flow, and traverse speed. As a dependent parameter, the surface roughness parameter Sq (squared mean height) was selected and measured in different places of the cut composite. Based on the S/N ratio, the most favorable control parameters of the cutting process were also determined to achieve the lowest roughness of the cut surface. A clear effect of the controlled cutting process on the surface roughness was observed, as well as roughness variation for the metal and polymer component. In addition, the contact surface of the polymer with the metal in the cut zone was analyzed. Analysis of the contact surfaces on the microscope showed that the gap between the polymer–metal contact surfaces does not exceed 2.5 μm.

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WASPAS Optimization in Advanced Manufacturing

Cited by 13 publications

References 25 publications

Penerapan Weighted Aggregated Sum Product Assessment dalam Mengevaluasi Perpanjangan Kontrak Pegawai

Penerapan Weighted Aggregated Sum Product Assessment dalam Mengevaluasi Perpanjangan Kontrak Pegawai

Integrated Selection of Permanent Teacher Appointments Recommended MCDM-AHP and WASPAS Methods

Preliminary Studies into Cutting of a Novel Two Component 3D-Printed Stainless Steel–Polymer Composite Material by Abrasive Water Jet

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