MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example

The aim of this paper is to determining the best solution to overcome Supply Chain Knowledge Flow Barriers (SCKFBs) in an Indian case organization by using an Analytic Hierarchy Process (AHP) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method in fuzzy environment. The weights of the SCKFBs identified using fuzzy AHP method and ranking of the solutions determined by fuzzy TOPSIS method. The uniqueness of the study comes through the application of the AHP and TOPSIS method under fuzzy environment to find the solutions for SCKFBs in order to make knowledge flow implementation becomes simpler in the organization.

Route selection is a very sensitive activity for mobile ad-hoc network (MANET) and ranking of multiple routes from source node to destination node can result in effective route selection and can provide many other benefits for better performance and security of MANET. This paper proposes an evaluation model based on analytical hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal solution (TOPSIS) to provide a useful solution for ranking of routes. The proposed model utilizes AHP to acquire criteria weights, fuzzy sets to describe vagueness with linguistic values and triangular fuzzy numbers, and TOPSIS to obtain the final ranking of routes. Final ranking of routes facilitates selection of best and most reliable route and provide alternative options for making a robust Mobile Ad-hoc network.

A hybrid multi-criteria decision modeling approach for the best biodiesel blend selection based on ANP-TOPSIS analysis

An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setúbal Peninsula, Portugal

Supplier selection of an Indian heavy locomotive manufacturer: An integrated approach using Taguchi loss function, TOPSIS, and AHP

A multi-criteria decision analysis approach for importance identification and ranking of network components

In this paper, it was aimed to select a suitable method to extract the dimensional stone to increase dimensional stone quarries efficiency. The usual methods including diamond cutting-wire method, blasting method, plug, and feather method, Katrock expanding material and Fract expanding material have compared using TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method by respecting to the following criteria: grass income, safety, desirability, reduction of environmental impacts, waste and reduction of extracting time. FDAHP (Fuzzy Delphi Analytic Hierarchy Process) approach was used in determining the degree of importance of the criteria by expert decision makers. Also, those criteria performed the same impacts were not considered. Consequently, the diamond wire saw method was suggested as the most appropriate method to extract the dimensional stones. It was concluded that the extraction of dimensional stone using diamond wire saw is the best method based on the mentioned criterion compared to other methods.

The limited government budget for the construction of small dam in Semarang Regency has led to the need to determine the construction priorities. However, the large number of construction's technical aspects causes the determination of the construction priorities to be difficult. One of the best methods for multi-criteria decision making is the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). However, ranking and weighting of the criteria that use in these constructions were difficult. It was caused by human assessment factors that were less precise especially on linguistic variables criteria. Therefore, a fuzzy logic was needed for calculating these criteria. There are eight alternatives of small dams and seven criteria of technical aspects analyzed in this study. The first step was determining membership function and weighting each criteria. Then, TOPSIS method was applied to ranked eight alternatives. The highest priority was determined by finding alternative that has the largest closeness coefficient (CCi). It represents alternative with closest distance to fuzzy positive ideal solution and farthest distance to fuzzy negative ideal solution. Based on analysis, Mluweh Dams has the highest CCi value of 0.612. It could be concluded that Mluweh Dams is the highest construction priority of small dams in Semarang Regency.

The aim of this paper is to apply an integrated model, which combines methods of classical and fuzzy Multi-criteria decision making (MCDM) in selected six large equity companies from the Serbian energy sector. The data considered are retrieved from the official financial statements. Four main criteria were analyzed, identified by the previous researchers and pointing to the employees’ productivity: Operating income/Number of employees, Equity/Number of employees, Net income/Number of employees and Total assets/Number of employees. The contribution of this paper lies in the application of a hybrid model that integrates two MCDM methods: Fuzzy Analytic Hierarchy Process (FAHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to analyse the employee productivity in selected D-Electrical power supply companies operating in Serbia. The FAHP is an effective method for mathematical representation of uncertain and imprecise evaluations made by humans, while the TOPSIS method is an efficient way to rank the alternatives. Results show that operating income is of highest importance for estimating employee productivity and decision making, while equity is of the weakest. Furthermore, the most productive operations in large enterprises from selected companies of the sector D-Electrical power supply are found in the company PC EPS Beograd, and the lowest are in the ED Center llc Kragujevac.

Environment-friendly policies have developed the awareness to protect the environment from hazardous effects. ISO 9000 certification, legal laws and public demands enhance the green corporate social responsibilities. Organizational traditional processes changed into green concepts. A dramatic shift from supplier selection to green supplier selection has been adopted in organizations to reduce the product impact on environment. Supplier selection is the most important organizational strategic decision to design, produce and distribute green. This paper is focused to develop the criteria for green supplier selection. This decision is based on both quantitative and qualitative methods. So, Multi Criteria Decision Making (MCDM) has been used to take the rational decisions. In this study, a hybrid multi criteria decision making approach based on Decision Making Trial and Evaluation Laboratory Model (DEMATEL), the Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) in fuzzy environment have been used to take the ideal decisions. This study will focus on the development of hybrid MCDM model for green supplier selection.

Optimal selection of an AA8011 reinforced nano Si3N4 composite using multi criteria decision-making method

PDF HTML阅读 XML下载 导出引用 引用提醒 基于FAHP-TOPSIS法的我国省域低碳发展水平评价 DOI: 10.5846/stxb201305121027 作者: 作者单位: 江西师范大学 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目(41001383);江西师范大学博士启动基金项目(4581);中国博士后科学基金特别项目(201003158) Study on the levels’ evaluation of provincial low-carbon development in China based on the FAHP-TOPSIS method Author: Affiliation: Jiangxi Normal University Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:在区分低碳经济与低碳发展的基础上,构建了一套低碳发展指标体系,并采用整合的FAHP-TOPSIS法对我国30个省区进行评价研究。结果表明:(1)该指标体系是实用且有效的,可以成功的用来评价一个区域的低碳发展水平。(2)整合的FAHP-TOPSIS法引入了模糊数集,能有效处理专家评估过程中的模糊性,评估结果也符合实际。(3)2003年到2008年,上海低碳发展水平有所下降,下降率为1.91%;其余各省区均在增长,浙江增长最大,北京增长最小,两者增长率分别为29.73%和0.38%。(4)北京一直拥有相对最高的低碳发展水平,而辽宁和江西一直分别处于第6和10位。宁夏、青海、甘肃、贵州及河南则一直依次处于低碳发展水平的倒数前5位,且位次不变。最后,分析了评估结果的合理性及不确定性并提出了一些提高省域低碳发展水平的可行途径及未来可进一步研究的方向。 Abstract:Since the low-carbon economy (LCE) was, firstly, brought out by the Department of Trade and Industry (DTI) in UK in 2003, the issues related to the concept of low carbon (LC) have attracted more and more attentions at home and abroad. The low-carbon development (LCD) is one of the hottest issues in the academic circles. However, people remain to have some controversial viewpoints on this topic of LCD up to now. For example, some people think the LCD should guarantee the growth of Gross Domestic Product (GDP), but some others think the LCD could leave it out. Therefore, in this paper, the two concepts of LCE and LCD were, at the first step, distinguished based on some published literature. Then, according to the distinguished result above, the indicators' system for evaluating the LCD levels of different regions was constructed, which contains 5 second-layer's indicators and 10 third-layer's indicators. As the unavailability of data, some provinces were omitted, and there were 30 provinces altogether were taken into the numerical case. In the empirical research process, a two-step methodology of combining the Fuzzy Analytic Hierarchy Process (FAHP) with the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method is proposed. The FAHP was, firstly, used to compute the indicators' weights of the 30 provinces' LCD levels, and then the TOPSIS method used these weights as its own input weights to complete the whole calculation process. The results show that: (1) the index system is a very practical and effective evaluation tool. It can successfully help people to evaluate the LCD level of a region. (2) The integrated FAHP-TOPSIS method can effectively deal with the fuzziness, which was coming from the process of expert's assessment, because the fuzzy number' set was drawn into it. The results acquired are reasonable and consistent with the reality, which further prove the reliability of the method itself. (3) From 2003 to 2008, the LCD level of Shanghai has a slightly decreasing change. The percentage of the decline is 1.91%. All the rest 29 provinces have the increasing trend. Among them, Zhejiang has the largest growth, and Beijing has the least growth. The increasing percentages of the two regions are 29.73% and 0.38%, respectively. (4) Overall, the top 10 provinces of the LCD level in 2003 are still in the top 10 positions in 2008. Among the ten, Beijing has always had the highest LCD level relatively, while Liaoning and Jiangxi have kept at the 6th and 10th positions, respectively, but the rankings of the other seven provinces are changed from 2003 to 2008. However, the LCD levels of Ningxia, Qinghai, Gansu, Guizhou and Henan have been successively in the reciprocal five positions, and their rankings are unchanged. Finally, the rationality and uncertainty of the results by using the FAHP-TOPSIS method were analyzed. Some feasible directions for future studies are put forward, and some preferable policy suggestions to improve the provincial LCD level were proposed. These advices contain: strengthen the transformation of energy-saving technology; increase the proportion of renewable-energy consumption; accelerate the construction of the new urbanization and the compact city; implement the system of carbon emissions' total amount control, quota allocation and trading; extend an existing reforestation program, and so on. 参考文献 相似文献 引证文献

This research provides a new hybrid algorithm for supplier selection and assessment in supply chain management, taking into account both quantitative and qualitative aspects. Supplier selection and evaluation are formulated by combining multi-criteria decision-making approaches such as Analytic hierarchy process (AHP) improved by Rough set theory and Technique for order performance by similarity to ideal solution (TOPSIS) to rank suppliers based on their overall performances. The decision makers employ rough set theory to screen providers. The relative weights of evaluation criteria were determined using AHP.TOPSIS was used to assign a rank to suppliers based on their overall performance. This strategy assists the decision maker in selecting the best supplier who meets all supply chain management needs. A case study is conducted in a high technology company called Multi-Flex Lami-Print Ltd, which makes Flexible Packaging materials in India, to evaluate the algorithm.

Cricket is one of the most popular global sports, and cricket pads are important personal protective gear used for shock absorption and peak deceleration of the impact forces of the cricket ball for both batsmen and wicket keepers. The materials selection of the padding should be considered according to requirements. In the present study, flexible composites were manufactured using knitted unidirectional thermoplastic composite prepregs. Prepregs were fabricated using thermoplastic yarns, e.g., High Density Polyethylene (HDPE), Polypropylene (PP), and Low Melting Polyester (LMPE). Para-aramid (Kevlar) and Flax yarns were used as inlay. The structures were stacked in three and five layers, and hot compression was used to convert thermoplastic yarn into matrix. A total of twelve samples were prepared, and their mechanical properties were evaluated. Tensile and flexural properties, short beam strength, and impact properties were optimized using the multi-criteria decision-making (MCDM) technique for order performance by similarity to ideal solution (TOPSIS). This approach was used to select the best material for use in cricket pads. The candidate samples were ranked using statistical techniques. The optimum sample was found to be FP5, i.e., Flax with polypropylene using five layers, which exhibited the maximum impact strength. The results showed that the mechanical properties were improved in general by increasing the number of layers. The significance and percentage contribution of each factor was obtained by ANOVA (α = 0.10) and pie chart, which showed Factors A and C (inlay yarn and number of layers) to be the main contributors. The optimal samples showed superior impact-related performance compared to a market sample cricket pad.

The fashion industry, during production and post-consumption, has major adverse environmental impacts. With the recent circular economy (CE) practices initiative, discarded fashion materials are reused to recover value from the waste. However, the CE practices initiative have not been well-received by society. The role of CE practices is very crucial in fashion industry as it helps in lowering the environmental burden caused by the discarded fashion materials, which in turn help to achieve the sustainable development goals (SDG). This study aims to collect and evaluate the challenges restricting the preference for CE practices initiative in Indian fashion industry. Based on literature review and inputs from the fashion industry experts, the study identified twenty-one challenges, in seven categories (Industrial management, Labour, Material, Regulations, Knowledge, Collaboration, and Infrastructure). An integrated multi-criteria decision-making (MCDM) approach comprising fuzzy Decision-Making Trial and Evaluation Laboratory Model (DEMATEL), Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is used to evaluate the challenges. The outcome of the study identifies costly raw materials, absence of certifications, problem in collection and separation, weak technical know-how, and absence of shared vision as the top five challenges to CE practices in Indian fashion industry. Further, the revelation of the causal interrelationship among the challenges helps the industrial management in taking appropriate steps to avert the challenges.