An Analytic Network Process Condition Assessment Model for Sewer Pipelines

2015 ◽  
Author(s):  
A. Hawari ◽  
F. Alkadour ◽  
T. Zayed
Keyword(s):  
Process Condition ◽  
Analytic Network Process ◽  
Condition Assessment ◽  
Assessment Model ◽  
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.

An analytic network process (ANP) model to examine LEED-certified buildings’ operational performance

2017 ◽  
Vol 7 (4) ◽  
pp. 366-376 ◽  
Author(s):  
Gulbin Ozcan Deniz
Keyword(s):  
Life Cycle ◽  
Analytic Network Process ◽  
Economic Life ◽  
The Body ◽  
Assessment Model ◽  
Operational Performance ◽  
Building Performance ◽  
Extensive Literature ◽  
Content Type ◽  
Network Process

Purpose The purpose of this paper is to create and present a Leadership in Energy and Environmental Design New Construction (LEED NC) building performance assessment model that will identify and prioritize external parameters affecting a LEED-certified building’s operational performance. Design/methodology/approach The uncertainty associated with external parameters affecting a LEED-certified building’s operational performance is examined through the use of analytic network process (ANP). An ANP model is created based on the extensive literature research and experiences of professionals in the green building industry. Eight case studies are analyzed, and data collected through interviews with experts are utilized in prioritizing external parameters affecting buildings’ operational performance. Findings The findings show that the most important external parameters affecting a LEED-certified building’s operational performance are lack of enhanced commissioning, lack of life cycle assessment/life cycle costing analysis, lack of energy modeling, and lack of knowledge in green technology. The results demonstrate that both asset value and profit, as well as the economic life of the facility, are mostly affected by the energy efficiency of the building, and consequently LEED NC energy and atmosphere category. Originality/value This research contributes to the body of knowledge on green architecture by defining and prioritizing external parameters and their relationships to operational building performance in LEED NC projects. The proposed model can be used by construction managers and facility managers to operate LEED-certified buildings better and reduce environmental impacts throughout the functional life cycle of the building.

scholarly journals AN ANALYTIC NETWORK PROCESS BASED RISK ASSESSMENT MODEL FOR PPP HYDROPOWER INVESTMENTS

2021 ◽  
Vol 27 (4) ◽  
pp. 268-277
Author(s):  
Emre Caner Akcay
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Hydropower Project ◽  
Risk Rating ◽  
Legal Risks ◽  
Network Process

The number of public-private partnership (PPP) projects has gone up especially in developing countries. The risk assessment of PPP projects is essential in ensuring project success. The objective of this study is to develop an Analytic Network Process (ANP) based risk assessment model for hydropower investments, and a tool to facilitate quantification of risk ratings based on this model. The results show that the three most important risk factors that affect the overall risk rating of a PPP hydropower investment are legal risks, contractor/subcontractor risks, and operator risks. In addition, the three most important risk clusters were identified as stakeholders, government requirements, and resources, whereas market was the least important cluster. The tool that measures the risk rating of a PPP of hydropower project was tested on ten real cases, and satisfactory results were obtained in terms of its predictive capability. The contributions of this research include (1) identification of the risk factors and clusters of factors associated with PPP hydropower investments; (2) determination of the priority of each risk factor and cluster; (3) development a tool that guides the investors through the risk assessment of PPP hydropower investments.

scholarly journals A Hybrid Multi-Criteria Decision Making Model for Defect-Based Condition Assessment of Railway Infrastructure

2021 ◽  
Vol 13 (13) ◽  
pp. 7186
Author(s):  
Laith El-khateeb ◽  
Eslam Mohammed Abdelkader ◽  
Abobakr Al-Sakkaf ◽  
Tarek Zayed
Keyword(s):  
Case Studies ◽  
Relative Weight ◽  
Analytic Network Process ◽  
Structural Condition ◽  
Condition Assessment ◽  
Geometrical Condition ◽  
Track Geometry ◽  
Railway Infrastructure ◽  
Network Process ◽  
Order Preference

The condition of railway infrastructure, such as rails, ballasts and sleepers, should always be monitored and analyzed to ensure ride safety and quality for both passengers and freight. It is hard to assess the condition of railway infrastructure due to the existence of various components. The existing condition assessment models are mostly limited to only assess track geometry conditions and structural condition of the railway infrastructure. Therefore, the present research develops a defect-based structural and geometrical condition model of railway infrastructure. The defects of each component are identified and examined through literature and experts in the field. Two main inputs are used to develop the model: (1) the relative weight of importance for components, defects and their categories and (2) defects severities. To obtain the relative weights, the analytic network process (ANP) technique is adopted. Fuzzy logic is used to unify all the different defect criteria and to interpret the linguistic condition assessment grading scale to a numerical score. Hence, the technique for order preference by similarity to ideal Solution (TOPSIS) is used to integrate both weights and severities to determine the railway infrastructure condition. The developed model gives a detailed condition of the railway infrastructure by representing a three-level condition state, for defect categories, components and an overall railway infrastructure. The developed model is implemented to five case studies from Ontario, Canada. The developed model is validated by comparing its results with the real case studies results, which shows similar results, indicating the robustness of the developed model. This model helps in minimizing the inaccuracy of railway condition assessment through the application of severity, uncertainty mitigation and robust aggregation

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
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