Determing of the Armed Forces Demands for Specific Kinds of Facilities

2020 ◽  
Vol 26 (1) ◽  
pp. 100-105
Author(s):  
Teodora Petrova ◽  
Zhivo Petrov

AbstractThe adequate financing of the first project’s stages, especially the decision making stage for supplying with specific kind of facility or equipment, will lead to a successful fulfilling of all other stages of the project. The procurement process which is directed to supplying of the armed forces necessary needs, includes a selection of the best technical decisions towards the proportion (ratio) between price/quality of the facility and/or the services. Therefore, the final choice of the technical decision should answer to the user demands (who sometimes demands not-approved very high requirements) only to level, at which this action will not be in danger for the project success.

2021 ◽  
Author(s):  
Akash Gajanan Prabhune ◽  
Aishwarya Mallavaram ◽  
Sachin Bhat ◽  
Samridhi Pandey ◽  
Ayesha Mehar Shagufta ◽  
...  

Abstract Background: The objective of this paper was to evaluate the COVID-19 vaccine registration website across UN-recognized member states for their portal quality, reliability, Ease Use and help to the general population in informed decision making.Methods: 12 UN member states (Countries) were selected based on the inclusion and exclusion criteria mentioned in the methodology section of this paper. PPS technique was used for sampling and selection of 12 countries from 193 UN member states. Post selection of UN member states the study used 2 step evaluation techniques, Step 1 The DISCERN checklist consists of 16 questions in three sections and is aimed to assess the reliability of information and quality of information; Step 2 The QUEST tool consists of 6 items with a subitem, Authorship, Attribution, Conflict of Interest, Complementarity, Currency, Tone. The authors developed a standard set of instructions for evaluating Vaccination Portals to bring uniformity in understanding and context setting.Results: DISCERN tool overall reliability score on the Likert scale of 0 to 5 was 4 (SD ± 1.28). On Quality of information regarding treatment choices, the average score was 3.4 (SD ± 1.67). The QUEST tool on ease of use, concision, and comprehensiveness demonstrated an average score of 18.1 (SD ± 8.3) out of 28.The vaccine registration portal of the Czech Republic was found to be most informative and was able to provide a piece of scientifically valid information on safety, efficacy, long-term short effects, choice of vaccine with attributable authors details. India, Bangladesh, Nigeria, South Africa scored relatively low to missing critical information on the website. The United Arab Emirates, Republic of South Korea, Indonesia, Australia, and Argentina had minor elements missing.Conclusions: COVID-19 vaccination portals vary in the quality of information and many were found unable to provide critical information for decision making on getting vaccinated


2020 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.


2014 ◽  
Vol 659 ◽  
pp. 611-616
Author(s):  
Tudor Stanciu ◽  
Jan Sjolin ◽  
Mihai Dragomir ◽  
Calin Stanciu

The objective of the paper is to present and compare the results of several international projects and to identify pedagogical and project success elements. The generic projects are few examples that had in common the several objectives: to identify the training needs; to develop an evaluation tool to transform actual and current training offered by corporate /occupational further training institutes ; to improve quality of education to meet the needs of working life. In projects, the training needs were identified involving universities, educational institutions, training and consulting companies from countries across Europe.The selection of the study cases is not random. The intent is to emphasis the consequences-by using similar approach-into distinct project methodologies: one is promoted largely by sponsors from US; the other three are according to the EU rules, regulations, and procedures.


Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Ruxue Ren ◽  
Chunguang Bai ◽  
Edmundas Kazimieras Zavadskas ◽  
...  

Medicine is the main means to reduce cancer mortality. However, some medicines face various risks during transportation and storage due to the particularity of medicines, which must be kept at a low temperature to ensure their quality. In this regard, it is of great significance to evaluate and select drug cold chain logistics suppliers from different perspectives to ensure the quality of medicines and reduce the risks of transportation and storage. To solve such a multiple criteria decision-making (MCDM) problem, this paper proposes an integrated model based on the combination of the SWARA (stepwise weight assessment ratio analysis) and CoCoSo (combined compromise solution) methods under the probabilistic linguistic environment. An adjustment coefficient is introduced to the SWARA method to derive criteria weights, and an improved CoCoSo method is proposed to determine the ranking of alternatives. The two methods are extended to the probabilistic linguistic environment to enhance the applicability of the two methods. A case study on the selection of drug cold chain logistics suppliers is presented to demonstrate the applicability of the proposed integrated MCDM model. The advantages of the proposed methods are highlighted through comparative analyses.


2019 ◽  
Vol 8 (2) ◽  
pp. 121-129
Author(s):  
Febri Hadi ◽  
Dodi Guswandi

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.


Author(s):  
Agus Salim ◽  
Baginda Oloan Lubis

Rice is one of the staple foods of society in general, the need for rice supply is increasing every year. The increasing population in the Jababeka area is a threat to staple food supplies. To determine the selection of Rice Brands, it takes rice criteria in order to determine the best quality of rice, and increase sales. So that it can meet consumer needs for rice. In the selection of rice brands at CV Beras Alami  uses a voting system, this is clearly less valid in its election because it is subjective. Analytical Hierarchy Process (AHP) method is used as a method for decision making, as a solution in selecting rice brands in CV Beras Alami. The Expert Choice application is used as a support system to facilitate the selection of rice brands that are in demand by consumers. The results can be known during the 2018 period that rice is widely consumed is Garuda Utama.


Author(s):  
Kumari Surbhi ◽  
Rajesh Kumar Tiwari

This research paper totally focused on improving the complexity of decision making on multiple objectives such as selection of subjects, area of study for better future, Industrial demands, and educational support in the selected area of job. These are the objectives faced by parents, students as well as teachers/professors. Education is the most powerful weapon for every country. Quality of education comes with outcome based study and collaboration with the industries. Here, the complexities in the system of decision making in setting up the optimal syllabus is solved by multiple objective programing called goal programming.


2015 ◽  
Vol 21 (3) ◽  
pp. 405-422 ◽  
Author(s):  
Mehmet Emin BAYSAL ◽  
İhsan KAYA ◽  
Cengiz KAHRAMAN ◽  
Ahmet SARUCAN ◽  
Orhan ENGIN

A municipality improves the quality of community life through its projects and actions. However, project selection and prioritization by municipalities are highly complex processes. Therefore, multicriteria decision making (MCDM) methodologies are very suitable for determining the best alternative. Recently, some studies have concentrated on the selection of the best project alternatives. In this paper, a two phased fuzzy MCDM methodology is proposed for the selection among municipal projects. In the first phase, fuzzy TOPSIS method is used to select the main project group and then fuzzy AHP is used to select the best sub-municipal project. The application of the suggested methodology has been made at the central district municipality in Konya, Turkey.


2018 ◽  
Vol 211 ◽  
pp. 12003
Author(s):  
Paula Couto ◽  
Filipa Salvado ◽  
Maria João Falcão Silva

The socio-economic objectives of transport projects are generally related to the improvement of travel conditions for goods and passengers as well as the improvement of the quality of the environment and the wellbeing of the served population. Railways infrastructure projects are always complex because of the many variables involved. In railway rehabilitation, in particular, social, economic and environmental variables take on considerable importance. These variables contribute strongly to the selection of the intervention project to be performed. Historically, multicriteria evaluation methods were developed to select the best alternative from a set of competing options. Multicriteria Analysis is applied for comparison of alternative projects, allowing taking into account different criteria simultaneously. It presents a framework in which all the stakeholders can participate actively in the process of decision making and in the explicit resolution of problems. The paper intends to frame the multicriteria analysis with the purpose of its implementation in railway investment projects concerning rehabilitation interventions. In this sense, its importance and potential will be highlighted for several stakeholders in the decision-making process, as well as the objectives and criteria definition for a practical implementation.


2018 ◽  
Vol 162 ◽  
pp. 03018 ◽  
Author(s):  
Amjed Al-Hameedawi ◽  
Mohammed Salih ◽  
Haidar Mohammed ◽  
Maher Hassan

This paper mainly aims at analysing and selecting the best railway route within the Karbala City. The significance of having suitable locations for railway route is recognized as a crucial element in the pursuit to improve the quality of public transport in general. This paper uses technique based on bridging the gap between all the criteria to determine suitable location for the railway. It was also intended to organize non-spatial data for describing the process. The site selection of railway is the process of finding locations that meet the desired conditions set by the selection criteria. For this issue a professional know-how to deal with data depending on multi criteria is necessary to achieve of the task of decision making. Due to the tangle of the issue, a special effort must be done, to have a good usefulness of site selection. The results of spatial model in this paper shows the best railway track is (Karbala-ALhindya).


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