scholarly journals Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods

Author(s):  
Adis Puška ◽  
Željko Stević ◽  
Dragan Pamučar
Kerntechnik ◽  
2008 ◽  
Vol 73 (3) ◽  
pp. 118-121
Author(s):  
T. Heinrich ◽  
L. Funke ◽  
M. Köhler ◽  
U.-K. Schkade ◽  
F. Ullrich ◽  
...  

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 774
Author(s):  
Adis Puška ◽  
Miroslav Nedeljković ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Dragan Pamučar

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.


Evaluation ◽  
2021 ◽  
pp. 135638902110203
Author(s):  
Geert te Boveldt ◽  
Imre Keseru ◽  
Cathy Macharis

In spatial planning, the paradigm has shifted from positivist to deliberative approaches. Still, cost–benefit analysis remains the dominant evaluation method. Multi-criteria analysis is arguably more appropriate, as it allows for stakeholder participation. While there are dozens of ever more sophisticated multi-criteria analysis methods, their practicality as real-world learning tools has received little attention. The goal of this article is to assess the suitability of different multi-criteria analysis methods for deliberative planning. It presents a critical review of the logical-mathematical cores of the principal methods but also of the different participatory frameworks within which they can be applied. While mathematically sophisticated methods are valuable in well-defined problems with precise data available, we conclude that in the participatory and politically sensitive stages of the planning process, user-friendly and transparent methods are more appropriate and recommend the development of a method that supports the incremental improvement of design options rather than ranking alternatives.


2006 ◽  
Vol 41 (3) ◽  
pp. 283-295 ◽  
Author(s):  
Renaud Quilbé ◽  
Alain N. Rousseau ◽  
Pierre Lafrance ◽  
Jacinthe Leclerc ◽  
Mohamed Amrani

Abstract Numerous models have been developed over the last decades to simulate the fate of pesticides at the watershed scale. Based on a literature review, we inventoried thirty-six models categorized as management, research, screening or multimedia models, each of them having specific strengths and weaknesses. Given this large number of models, it may be difficult for potential users (stakeholders or scientists) to find the most suited one with respect to their needs. To help in this process, this paper proposes a pragmatic approach based on a multi-criteria analysis. Selection criteria are defined following the user's needs and classified in five classes: modelling characteristics, output variables, model applicability, possibilities to simulate best management practices (BMPs) and ease of use. The relative importance of each criterion is quantified by a weight and the total score of a model is calculated by adding the resulting weights of satisfied criteria. This selection framework is illustrated with a case study that consists in selecting a model to develop water quality standards at the watershed scale with respect to the implementation of BMPs. This resulted in the selection of three models: BASINS, SWAT and GIBSI.


2020 ◽  
Vol 198 ◽  
pp. 02008
Author(s):  
XIE Qiao ◽  
ZHANG Jia-sheng ◽  
Wang Xuan

The analysis methods and theories of slope stability are constantly improving and developing, and more methods in line with the development characteristics of the times have been put forward by scholars at home and abroad. Combined with the latest research hot spots in the direction of analysis methods of slope stability in the world, the analysis methods of slope stability are systematically classified and summarized; The principles, characteristics, scope of application of various methods are summarized; The development trend of slope stability analysis is comprehensively analyzed from various aspects. It provides the follow-up scholars with the research of new methods. It can provide reference for the selection of evaluation methods of practical slope engineering stability.


2021 ◽  
Author(s):  
Wojciech Kamiński

AbstractThis article considers factors of number of sidings and the occurrences of transit traffic and presents a comparison of selected railway lines in Poland. Multi-criteria analysis methods were used, like the zero unitarization method and the technique for order preference by similarity to ideal solution method. The comparison made it possible to arrange the selected railway lines in the order from the most to the least useful. The obtained results showed also that zero unitarization method is limited only to the analysis of all lines on which transit traffic occurs or all lines without transit traffic. The comparison of all lines is possible using the technique for order preference by similarity to ideal solution method.


2019 ◽  
Vol 20 ◽  
pp. 316-325 ◽  
Author(s):  
Mohanasundar Radhakrishnan ◽  
Indira Kenzhegulova ◽  
M.G. Eloffy ◽  
W.A. Ibrahim ◽  
Chris Zevenbergen ◽  
...  

2020 ◽  
Vol 19 (03) ◽  
pp. 741-773
Author(s):  
Siamak Kheybari ◽  
Mansoor Davoodi Monfared ◽  
Hadis Farazmand ◽  
Jafar Rezaei

In this paper, a multi-criteria set-covering methodology is proposed to select suitable locations for a set of data centers. First, a framework of criteria, with social, economic and environmental dimensions, is presented. The framework is used to calculate the suitability of potential data center locations in Iran. To that end, a sample of specialists in Iran was asked to take part in an online questionnaire, based on best–worst method (BWM), to determine the weight of the criteria included in the proposed framework, after which a number of potential locations are evaluated on the basis of the criteria. The proposed model is evaluated under a number of settings. Using the proposed multi-criteria set-covering model, not only the utility of candidate places is evaluated by sustainability criteria but also all service applicants are covered by at least one data center with a specific coverage radius.


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