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

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.

scholarly journals A New Comprehensive Approach for Efficient Road Vehicle Procurement Using Hybrid DANP-TOPSIS Method

2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Technical Aspect ◽  
Selling Price ◽  
Topsis Method ◽  
Environmental Decision Making ◽  
Network Process ◽  
Order Preference ◽  
Vehicle Fleet ◽  
Selection Of

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.

Relative weight comparison between virtual key factors of cloud computing with analytic network process

2014 ◽  
Vol 72 (5) ◽  
pp. 1694-1714 ◽  
Author(s):  
Cheol-Rim Choi ◽  
Hwa-Young Jeong ◽  
Jong Hyuk Park ◽  
Haeng Jin Jang ◽  
Young-Sik Jeong
Keyword(s):  
Cloud Computing ◽  
Relative Weight ◽  
Analytic Network Process ◽  
Key Factors ◽  
Network Process

scholarly journals Analytic Network Process for Developing Relative Weight of Wastewater Treatment Technology Selection

2017 ◽  
Vol 11 (5) ◽  
pp. 64 ◽  
Author(s):  
Lazim Abdullah ◽  
Nurul Atiqah Abd Rahman
Keyword(s):  
Wastewater Treatment ◽  
Relative Weight ◽  
Analytic Network Process ◽  
Technology Selection ◽  
Practical Implementation ◽  
Relative Importance ◽  
Treatment Technology ◽  
Importance Weights ◽  
Network Process ◽  
The Many

Selecting the best wastewater treatment (WWT) technology requires a thorough qualitative and quantitative evaluation of multi-dependence criteria. A network based method is one of the many possible techniques that able to handle multi-dependence criteria in the selection. This paper proposes relative importance weights of alternatives in selecting the WWT technology using the analytic network process (ANP) in Terengganu Malaysia. The ANP is applied to establish the relative weights of alternatives based on criteria and sub-criteria that available in the WWT technology selection. Two faculty members attached to a public university and an engineer in Malaysian government agency were interviewed to provide evaluation within the framework of ANP. Inner dependence and outer dependence analysis of ANP are fully utilised to establish relative importance weights of alternatives. The experiment result reveals that the relative importance weights of the three alternatives are 0.3074, 0.2795 and 0.2447. The alternative ‘Composting’ has decided as the most suitable technology in WWT which provides the highest relative importance weight among all the three alternatives. The results would be a great significance for the practical implementation of the WWT technology selection.

scholarly journals A Use of Fuzzy TOPSIS to Improve the Network Selection in Wireless Multiaccess Environments

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mouad Mansouri ◽  
Cherkaoui Leghris
Keyword(s):  
Fuzzy Topsis ◽  
Analytic Network Process ◽  
Vertical Handover ◽  
Network Selection ◽  
Mobile Terminals ◽  
Access Technology ◽  
Ideal Situation ◽  
Network Process ◽  
Selection Step ◽  
Order Preference

Constantly faster, mobile terminals are developing, as well as wireless networks, to satisfy the growth of “Always Best Connected” demand. Users nowadays want to access the best available wireless network, either from 3GPP or IEEE group technologies, wherever they are, without losing their sessions. Consequently, mobile terminals must seamlessly transfer the communications to another access technology (vertical handover) if needed, as they often move into heterogeneous wireless environments. This work aims to optimize the network selection step in the vertical handover process. Multiattribute Decision-Making methods naturally fit this context. Nevertheless, they make wrong handover decisions sometimes, due to imprecise data collected from the metrics. This manuscript presents the use of a hybrid method, combining the fuzzy technique for order preference by similarity to the ideal situation and fuzzy analytic network process, in the network selection, to improve the quality of service and avoid, as much as possible, unnecessary handovers. The results demonstrate that this combination is the best, compared to the other methods of the same type in the network selection context.

scholarly journals A Hybrid Program Projects Selection Model for Nonprofit TV Stations

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Kuei-Lun Chang
Keyword(s):  
Balanced Scorecard ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process ◽  
Order Preference ◽  
Hybrid Program ◽  
Corporate Social

This study develops a hybrid multiple criteria decision making (MCDM) model to select program projects for nonprofit TV stations on the basis of managers’ perceptions. By the concept of balanced scorecard (BSC) and corporate social responsibility (CSR), we collect criteria for selecting the best program project. Fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Next, considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain the weights of them. To avoid calculation and additional pairwise comparisons of ANP, technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives. A case study is presented to demonstrate the applicability of the proposed model.

scholarly journals Developing A Model with Dematel, Anp, Topsis Approaches for Marketing Strategy Selection in Batik Madura Industry

2019 ◽  
Vol 14 (1) ◽  
pp. 20
Author(s):  
Indra Cahyadi
Keyword(s):  
Decision Making ◽  
Marketing Strategy ◽  
Small And Medium Enterprises ◽  
Analytic Network Process ◽  
Strategy Formulation ◽  
Company Reputation ◽  
Network Process ◽  
Order Preference ◽  
Managerial Competency ◽  
Medium Enterprises

The selection of marketing strategy is very important for the sustainability of small and medium enterprises (SMEs). Choosing the best marketing strategy is a process involving problem of multiple decision-making criteria, which considers many attributes in various phases of a strategy formulation method. This paper proposes a model of selecting marketing strategy for Batik Madura SMEs. The model selected five criteria including customer networking, innovation capabilities, managerial competency, human capital, and company reputation based on literature reviews and focus group decision-making discussion. Analytic network process (ANP), decision-making trial and evaluation laboratory (DEMATEL) and technique for order preference by similarity to an ideal solution (TOPSIS) methods were applied to obtain an impact relation map from each criteria and to determine the priority of marketing strategy. The implementation of the model shows that Batik Madura SMEs should maintain their focus on segmentation marketing as the most  appropriate marketing strategy.

scholarly journals An Application of Multicriteria Decision-making for the Evaluation of Alternative Monorail Routes

Mathematics ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 16 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Transportation Planning ◽  
Selection Process ◽  
Urban Transportation ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Route Selection ◽  
Network Process ◽  
Order Preference ◽  
Selection For

Urban transportation planning is important for a metropolitan city. Route selection, which is among the decisions of urban transportation planning, is also important in terms of developing the urban transportation. This study contains the route selection for the planned monorail transport system that is a new system in Ankara. The most suitable monorail route was selected among the determined eight alternative monorail routes. In this decision process, we used the Analytic Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, which is one of the multi-criteria decision-making methods. Finally, we provided the most suitable ranking and planning with the selection process for the development of urban transportation.

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