Personnel selection method using Analytic network Process (ANP) and fuzzy concept

2009 ◽  
Author(s):  
Mohammed Ayub ◽  
Md. Jonaed Kabir ◽  
Md. Golam Rabiul Alam
Keyword(s):  
Personnel Selection ◽  
Analytic Network Process ◽  
Selection Method ◽  
Fuzzy Concept ◽  
Network Process

Sistem Pendukung Keputusan Menggunakan Metode ANP Untuk Pemilihan Toko Daring Terbaik di Politeknik Ganesha

2019 ◽  
Vol 4 (1) ◽  
pp. 83
Author(s):  
Romindo Romindo ◽  
Jamaludin Jamaludin
Keyword(s):  
Analytic Network Process ◽  
Network Process

Kegiatan bisnis pada toko daring semakin berkembang dengan seiring berkembangnya teknologi, proses jual dan beli dengan media internet pun semakin marak dilakukan oleh Masyarakat. Masyarakat tidak perlu lagi keluar rumah dan menghadapi macetnya jalan jika ingin membeli suatu barang. Perkembangan inipun dirasakan oleh masyarakat khususnya mahasiswa Politeknik Ganesha. Mahasiswa Politeknik Ganesha sering melakukan kegiatan berbelanja di toko daring atau biasa dikenal dengan online shop. Kegiatan yang dilakukan oleh mahasiswa Politeknik Ganesha ini seringkali menimbulkan perbincangan tentang toko daring. Perbincangan seputar toko daring untuk memenuhi kebutuhan mahasiswa dalam berbelanja online, serta perbincangan dalam perbandingan memilih toko daring mana yang terbaik dalam berlanja online. Dengan permasalahan yang terjadi dikalangan mahasiswa Politeknik Ganesha, maka penting diketahui dalam menentukan keputusan pemilihan toko daring mana yang terbaik dilingkungan Politeknik Ganesha. Proses pemilihan tersebut menggunakan metode Analytic Network Process (ANP) sebagai salah satu metode pada Sistem Pendukung Keputusan. 10 kriteria yang sudah ditentukan oleh mahasiswa Politeknik Ganesha, yaitu: Nomor Telepon/Chatting Online, Produk Popular, Gratis Ongkos Kirim, Sistem Pemabayaran, Logo, Sosial Media Link, Toko Finder, Merk Produk, Berita Terbaru, dan Trusmark. Dan 3 alternatif jenis Toko Daring yaitu: Bukalapak, Shopee dan Lazada. Hasil penelitian pada pengolahan data menggunakan metode ANP menunjukkan bahwa jenis toko daring yang bisa direkomendasikan dikalangan mahasiswa Politeknik Ganesha adalah yang peratama sebagai prioritas tertinggi Shopee = 3.80, kemudian yang kedua adalah Bukalapak = 3.73, dan yang terakhir adalah Lazada = 2.47.

Prioritizing Strategic Factors of Creative Tourism Industry in Iran by Analytic Network Process (ANP)

2020 ◽  
Vol 24 (5) ◽  
pp. 553-565
Author(s):  
Reza Kiani Mavi ◽  
Hamed Gheibdoust ◽  
Ahmad A. Khanfar
Keyword(s):  
Policy Making ◽  
Analytic Network Process ◽  
Influential Factors ◽  
Tourism Industry ◽  
Policy Makers ◽  
Business Support ◽  
Network Process ◽  
Strategic Factors ◽  
Strategic Policy ◽  
Strategic Policies

Nowadays, it is obvious that creative tourism industry has become very essential for countries and societies; therefore, governments work on constituting policies in order to develop this industry. To be successful in improving creative tourism industry, governments should identify the influential factors and focus on ones that are more important rather than investing a bit on many different factors. Because of the interrelations among factors, this research is aiming to prioritize factors that influence strategic policies of creative tourism industry in Iran using analytic network process (ANP). Data were collected during the period of May 2017 to February 2018. Participants in this research are 13 tourism experts with more than 10 years' experience in the field. Results show that the most influential criterion is "business support" and the most influential subcriterion is "supporting midsize businesses." This study helps policy makers to improve creative tourism by emphasizing on those factors that have high priority from the viewpoint of strategic policy-making.

Ứng dụng Fuzzy Analytic Network Process và Goal Programming trong lựa chọn nhà cung ứng xanh

2017 ◽  
Vol 50 ◽  
pp. 50
Author(s):  
Trần Thị Nhật Hồng ◽  
Trần Thị Mỹ Dung ◽  
Huỳnh Tấn Phong ◽  
Lê Thị Diễm Phương ◽  
Trương Hoàng Thơ
Keyword(s):  
Goal Programming ◽  
Analytic Network Process ◽  
Network Process ◽  
Fuzzy Analytic Network Process

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

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