Analytic hierarchy process advancement
226375973
Environmental Education for Mitigating and Assessing Environmental Impacts of Petrochemical Products (Vinyl Chloride) with Analytic Hierarchy Process (AHP) Method
today, with rapid advancement of industry and technology, many concerns about the adverse consequences threaten human life. The objective of this research is to investigate environmental education as an implement to reduce and evaluate the environmental consequences of petrochemical products based on the hierarchical analysis. The methodology was a survey of a statistical group involving 30 managers and experts in the petrochemical industry. The tool for the survey has consisted of a questionnaire with a pair scale single response. In this model, the validity of the research was confirmed by the Delphi method and obtaining the opinion of experts in the field of occupational health and reliability of the questionnaire calculated by the inconsistency rate (less than 0.1) First, three criteria including environmental impact, destruction of the natural environment, impacts on individual health, and the most important harmful effects of each criterion were identified. Among the three main criteria, the most influential factor is the environmental impact criterion with a relative weight of 0.670. The criteria for the destruction of the natural environment and health effect of petrochemical workers with a relative weight of 0.260 and 0.699, respectively, are in the next priority. The water pollution parameter with a relative weight of 0.602 is the most important among the 5 sub criteria. The parameter of effects on the biological environment with a relative weight of 0.373 among the 3 sub criteria, and the parameter of the respiratory system with a relative weight of 0.417 among the 5 sub criteria have the greatest effect, respectively
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213794867
An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances
In an age of rapid technological advancement, the increasing need for energy and its related services to satisfy economic and social development has become a critical concern of national governments worldwide. This has triggered researchers to work on metrics for tracking and tracing energy sustainability in order to provide monitoring mechanisms for policy makers. In this regard, multicriteria decision making (MCDM) methods are becoming more popular to deal with the multidimensional and complex nature of sustainability. We have proposed an extended and revised version of the grey relational analysis (GRA) method, which is integrated with the fuzzy analytic hierarchy process (AHP) to develop a new composite index for comparing the overall energy sustainability performances of 35 OECD member countries. Our case study revealed the performances of selected countries by providing their strengths and weaknesses based on determined criteria as well as the level of change in performances with different criteria weights. The proposed GRA model can be used in different applications of sustainability due to its flexible nature, which provides benefits from goal oriented extensions in order to adequately capture different aspects of sustainability.
Koray Altintas Ozalp Vayvay Sinan Apak Emine Cobanoglu
219737860
A Delphi AHP study on STCW leadership competence in the age of autonomous maritime operations
Accelerating technological advancement in the maritime industry is gradually increasing the range of functions once performed by humans to become automated. In the era of autonomous shipping, where the autonomous operating system takes the lead and data flows define decision making, how the ship and its leaders can successfully navigate these new ways of working have important implications for safety, efficiency and reliability of future ship operations. It is critical that the non technical skills requirements, in particular the leadership competencies, be re evaluated as new operational paradigms of shipping systems emerge and evolve. This study extends the current research of Maritime Autonomous Surface Ships (MASS) by using a Delphi consensus survey and Analytic Hierarchy Process (AHP) with a panel of 36 experts to (1) bridge a knowledge gap, i.e. the lack of an understanding regarding the leadership implication of autonomous shipping; (2) evaluate the applicability of current STCW leadership requirements for MASS operations; (3) identify and prioritize the leadership competences that should be accrued by the personnel involved in future ship operations. The results have shown that the current STCW framework is not fully relevant for MASS. The redefined leadership competence and the constructed hierarchy of criticality generated from this study can be valuable input for revision of the STCW and maritime education and training practices, contributing to successful ship operations of the future.
Tae-eun Kim Steven C Mallam
225196987
A fuzzy multi criteria decision support for antivirus selection
In last few decades the software industry has been developed drastically. The Organizations are fully dependent on the computer based information systems. Due to the advancement in the technology we need to secure our data from the intruders and viruses. Today the Antivirus is the necessity for the computers. The various types of antivirus softwares are available in the market according to the need of the Information Systems. An Antivirus is a critical for excellence in protection, security and performance. Antivirus selection involves identifying the right one on behalf of multiple attributes including cost, delivery time, and quality. Thus, antivirus selection inherently is a multi criteria decision problem (MCD) and can be quite complex. To address the uncertainty in antivirus selection with multiple attributes, a number of researchers have employed fuzzy models. In order to choose the best antivirus that will satisfy our parameters we used the fuzzy analytic hierarchy process (AHP) Antivirus were rated on four attributes, protection, performance, cost, usability and support. Extent analysis was employed for defuzzification.
Sudhir Kr Sharma Dushyant Kumar Ashish Rastogi Reeta Tyagi
225431205
A hybrid fuzzy multi criteria decision making model for selecting a sustainable supplier of forklift filters: a case study from the mining industry
Supplier selection has long been a strategic cornerstone for the advancement of companies from the mining sector due to its impact on many sectors as inventory management, production planning, maintenance scheduling, financial resources and environment. In this regard, expert decision makers should deem a number of performance conflicting criteria and supplier alternatives. Moreover, choosing a suitable Multi Criteria Decision Making (MCDM) approach has become a key strategic consideration for supplier selection. Hence, this paper presents a combination of powerful MCDM methods to select the most suitable supplier of forklift filters. The Fuzzy Analytic Hierarchy Process (FAHP) is first used to calculate the initial weights of criteria and sub criteria under uncertainty, followed by the implementation of Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) to assess the interrelations and feedback between them. The fuzzy theory is used in both AHP and DEMATEL methods to represent the human vagueness when making judgments. Then, FAHP and FDEMATEL are combined to obtain the final contributions of both criteria and sub criteria on the basis of interrelations and uncertainty. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to rank the supplier alternatives. To validate the effectiveness of the proposed framework, a case study is presented. The results evidence that quality criterion is the most crucial aspect when selecting suppliers of forklift filters.
Miguel Angel Ortiz-Barrios Juan Cabarcas-Reyes Alessio Ishizaka Maria Barbati Natalia Jaramillo-Rueda Giovani de Jesus Carrascal-Zambrano
213847127
URBAN RURAL BUS PATH PLANNING BASED ON ANT COLONY OPTIMIZATION ALGORITHM
Abstract. With the advancement of urbanization, urban rural public transport issues have become one of the most critical issues in urban development. The paper makes a detailed study on the optimization of urban rural bus routes in Erqi District of Zhengzhou, China. The factors of bus stop selection are analyzed, and the three categories, including traffic road condition factors, economic benefit factors and waiting number factors, are mainly considered. The analytic hierarchy process is used to determine 35 specific objectives of urban rural bus stop optimization, 20 of which are selected for simulation experiment with large weight. Then the ant colony optimization (ACO) algorithm in path optimization is analyzed, which has the following two advantages. First, the global pheromone update is combined with the local pheromone update to enhance the algorithm's optimization ability and convergence speed. Second, through the method of spatial contraction transformation, the ant constructs a solution to reduce the number of construction steps and speed up the operation. Based on the actual analysis of urban rural public transportation in the Erqi District of Zhengzhou, a simulation experiment is executed to show that the ACO algorithm is able to find out the optimal path, which is 15.1% shorter than the ant colony system (ACS) algorithm. The ACO algorithm improved path planning has good time effectiveness and path practicability.
Bo Wei
222210655
Risk informed multi criteria decision framework for resilience, sustainability and energy analysis of reinforced concrete buildings
ABSTRACT With recent advancement in energy based sustainable design of building structures, the need for inclusive yet practical models to integrate resilience and sustainability is increasingly recognized. This paper integrates structural seismic resilience and sustainability assessment methods with whole building energy simulation techniques to present a new comprehensive decision model for the design of buildings. Risk based multi attribute utility theory and analytic hierarchy process are used to develop a multi criteria decision making (MCDM) framework considering various economic, social and environmental criteria involved in design of buildings. The model is implemented on a number of RC buildings, and the influence of building configuration on environment, seismic performance, and energy consumption is studied. It is found that shear wall ratio plays a significant role in both seismic loss and energy consumption of RC buildings. Increasing the shear wall ratio effectively reduces the direct monetary loss and downtime as well as energy consumption.
Esmaeel Asadi Zhenglai Shen Hongyu Zhou Abdullahi M Salman Yue Li
216654227
Grey AHP Based Supplier Selection For Sustainable Supply Chain In Nickel Plating Industry
The advancement in technology and production rate in rapidly developing economies has brought about the focus on sustainable supply chain in past few decades. Sustainability basically refers to fulfilling the needs of the current generation without hampering the resources significantly that would be required by the future generations. In order to achieve this, green supply chain management must be brought into practice. The current case study aims at evaluating and selecting suppliers based on green criteria in a Nickel plating SME. To begin with, six criteria for supplier selection are selected and are the shortlisted using grey relational analysis (GRA) The four suppliers are then evaluated and selected based on three shortlisted green criteria using Analytic Hierarchy Process (AHP) Further consistency ratio (CR) is also calculated in order to determine how consistent the judgements have been relative to large samples of purely random judgements.
Sanatan Ratna Sanatan Ratna Banti Kumar
199588131
A novel spherical fuzzy analytic hierarchy process and its renewable energy application
The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets, whose membership functions are based on three dimensions, aim at collecting experts' judgments more informatively and explicitly. In the literature, generalized three dimensional spherical fuzzy sets have been introduced by Kutlu Gundogdu and Kahraman (J Intell Fuzzy Syst 36(1):337 352, 2019a including their arithmetic operations, aggregation operators, and defuzzification operations. In this paper, our aim is to extend classical analytic hierarchy process (AHP) to spherical fuzzy AHP (SF AHP) method and to show its applicability and validity through a renewable energy location selection example and a comparative analysis between neutrosophic AHP and SF AHP.
Soft Comput.
Fatma Kutlu Gundogdu Cengiz Kahraman
210939916
2 The Analytic Hierarchy Process 2