scholarly journals Strategy for Prioritization of Storage Hydropower Projects - A Case from Nepal

Author(s):  
Surendra Kaini ◽  
Anjay Kumar Mishra ◽  
Rajesh Sapkota ◽  
P. S. Aithal

Purpose: This research aims to analyze the Sensitivity for Prioritization of Storage Hydropower Projects of Nepal. Design/Methodology/Approach: Analytical Hierarchy Process (AHP) based on Multi-Criteria Decision Making (MCDM) has been used for analyzing the Technical, Financial, Policy, Environment factors Sensitivity with pairwise comparison in different multiple criteria. Additionally, the response from the client and expert opinion was conducted. Findings/Result: Technical on first (weightage of 34%), financial on the second (weightage of 25%), environmental on third (weightage of 16%), policy and political on fourth (weightage of 11%), uncertainties on fifth (weightage of 9%), and respondents on sixth (weightage of 5%) are the main the factors. The impact can be explained at 50 % change in weight of respondent Nalsaugad Storage Hydropower Project stands at first rank. If the weightage of respondents changes by 100% then Uttarganga Storage Hydropower Project stands at first rank with respect to respondent factor. The sensitivity analysis with respect to factors was done, which shows no significant difference in the ranking of projects at the base case and at the case of change in weight of factors. Originality/Value: It is action research to assure factors weights Paper Type: Analytical Policy Research

2013 ◽  
Vol 59 (No. 12) ◽  
pp. 487-492
Author(s):  
A. Parsakhoo ◽  
S.A. Hosseini

This study attempts to use the analytical hierarchy process to choose the most appropriate earthwork machine for slope classes of 30–50% and 50–70%. Required data were collected by pairwise comparison as questionnaires filled by experts of forest engineering. Results showed that cross-sections and grade line (Technical criteria), soil excavation and displacement (Environmental criteria), production rate and multi-application (Operational criteria), production cost (Economic criteria) with the respective weights of  0.345, 0.345, 0.136, 0.058, 0.058 and 0.058 were the most important criteria for choosing the earthwork machines in the slope class of 30–50%. These coefficients for the slope class of 50–70% were 0.329, 0.329, 0.174, 0.056, 0.056 and 0.056, respectively. Overall priority of bulldozer in slope classes of 30–50% and 50–70% was 0.51 and 0.48, respectively. Therefore, in slope class of 30–50% bulldozer and in slope class of 50–70% hydraulic excavator must be selected for earthwork operation.


Author(s):  
Harsimran Singh Sodhi ◽  
Doordarshi Singh ◽  
Bikram Jit Singh

Purpose The purpose of this paper is to identify the various barriers in the implementation of waste management techniques in manufacturing organizations. Design/methodology/approach In this study, 121 SMEs of the manufacturing sector have been extensively surveyed, to assess the relative impact of barriers in the waste management technique in a manufacturing organization. Further, analytical hierarchy process (AHP) has been used to identify the most significant barriers. Findings Major barriers in the implementation of a waste management technique in a manufacturing organization have been identified and their weightage has been calculated through the AHP model. Originality/value This study will assist the floor managers in manufacturing organizations to identify the major barriers and to plan accordingly for the adequate implementation of waste management technique.


2015 ◽  
Vol 6 (1) ◽  
pp. 22-43 ◽  
Author(s):  
Maya F. Farah ◽  
Lamis El Samad

Purpose – The purpose of this paper is to examine the impact of religious sect on the Lebanese consumer’s perception of controversial product advertisements. Design/methodology/approach – The study used a quantitative survey that was administered to a purposive representative sample of respondents from the two main Muslim sects in the country, namely, Sunni and Shiite Muslims. Findings – The results indicated significant differences in perceptions between Sunni and Shiite Muslims with regards to the offensiveness of the advertising of controversial products. Briefly, Sunni Muslims found the advertising of social and political as well as health and care products more offensive, whereas Shiite Muslims found the advertising of gender and sex-related products more offensive, and no significant difference in offensiveness perception between the two sects was found with regards to the advertising of addictive products. Research limitations/implications – Two main limitations faced the researchers: the fact that the respondents were not shown examples of offensive product advertisements; and that religiosity was not measured for the respondents, which could also be a factor in offensiveness perception. Practical implications – The study indicates that a consumer’s religious sect can play a determining role in how he/she perceives product advertisement, thus encouraging marketers to consider the differences between these sects while advertising to ensure no potential consumers are alienated. Originality/value – Although research has looked into the impact of religiosity and religion on the perception of offensive product advertisements, minimal research exists on the impact of religious sects on the perception of offensive product advertisement. The results of this study provide some insights into the consumer behavior differences between the two sects.


2021 ◽  
Vol 936 (1) ◽  
pp. 012036
Author(s):  
Nurwatik ◽  
A B Cahyono ◽  
A O Rachmandafitri

Abstract Flood is one of the hydrometeorological disasters that occur in Surabaya, especially during the rainy season. The occurrence of floods brings a huge impact on the economy, the environment, and humans’ losses. Based on the National Disaster Management Agency in Indonesia (BNPB) records, the flood inundation height in Surabaya reach about 10 -70 cm for 6 hours. Some anticipation efforts are required to minimize the impact. Therefore, this study aims to provide a flood vulnerability level assessment using the GIS and Analytical Hierarchy Process (AHP) method as a priority recommendation in increasing capacity. This research uses 4 criteria in the assessment including social, economic, physical, and environmental. Each criterion is divided into several classes with adjusted scoring values. The results of the AHP rank the social criteria as the highest weighted value of 0.42322. Furthermore, the results of the flood vulnerability assessment yield some areas that have the highest vulnerability value including Trengilismejoyo District, Wonocolo District, Dukuhpakis District, Sukolilo District, Krembangan District, Semampir District, and Benowo District.


Author(s):  
Joel Simon ◽  
Ali Adamu ◽  
Ahmed Abdulkadir ◽  
Akpensuen Shiaondo Henry

Aim: “This study Analytical Hierarchy Process (AHP) Model for Malaria Control” was aimed at using analytical hierarchy process model to prioritize alternative strategies for malaria control. Place and the Duration of the Study: The study was carried out in Bauchi State, Nigeria from May, 2017 to June, 2019. Methodology: The study used primary and secondary data. The secondary data were the identified alternatives strategies for malaria control and the criteria for evaluating these strategies obtained from malaria control journals and World Health Organization report. The criteria and malaria control strategies were used as input for developing a 9-point scale used in a questionnaire to obtained responses from the Experts in scoring the pairwise comparison of the criteria and the alternatives. Analytical hierarchy process (AHP) model was used to develop the pairwise comparison matrices from the Experts opinions. Computations were carried out with the help of computer software, business performance management Singapore (BPMSG-AHP ONLINE). Results:The result of the analysis shows that the use of insecticide treated nets was ranked the best strategy for malaria control (AHP score 0.348). Based on the findings of this paper, it is recommended that the use of treated mosquito net should be given much attention in controlling malaria in Nigeria. Conclusion:We therefore conclude that in a multi -criteria decision making situation, AHP is a powerful tool to assists decision makers.


2018 ◽  
Vol 250 ◽  
pp. 05001
Author(s):  
Siti Nor Fatimah Zuraidi ◽  
Mohammad Ashraf Abdul Rahman ◽  
Zainal Abidin Akasah

In order to bring the reduction of damage and defect of heritage buildings, the management needs to use an suitable methodology approach for the element heritage building. The goal of this paper is to make the selection of criteria and attribute by using the Analytical Hierarchy Process (AHP) for heritage building. The selection of criteria and attributes for heritage building are divided into three criteria which are building the structure, building fabric, and building service. By pairwise comparison matrix, the process of selection for criteria and attribute to to enable possible improvements. This finding has shown that all element criteria and attributes in heritage building are important with their function.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuri Lima ◽  
Julia Celia Mercedes Strauch ◽  
Maria Gilda Pimentel Esteves ◽  
Jano Moreira de Souza ◽  
Miriam Barbuda Chaves ◽  
...  

PurposeBrazil is struggling as the unemployment rate is 12.4% and nearly 13m people are unemployed. The fourth Industrial Revolution is advancing, and the country needs to consider how it will impact the labor market. This work explores the impact of automation on the Brazilian workforce to supply decision-makers with information about the subject.Design/methodology/approachThe authors converted the probability of computerization from the seminal work of Frey and Osborne to each of the more than 2,500 occupations in Brazil. They then crossed the automation probability with socioeconomic information about workers and companies available in the Brazilian Ministry of Labor Database.FindingsIn total, 60% of employment in Brazil is expected to be highly impacted by automation in the coming decades, with eight out of the ten occupations with the biggest workforce being highly automatable. Automation probability decreases as workers' education level increases, with the most significant difference between workers with higher education and those without it. The results show other inequalities in the impact of automation: the higher the wage, the lower the automation probability of occupations; the bigger the company, the lower the automation index; and workers from 16 to 24 years old have considerably higher chances of being automated.Originality/valueThis work is the first to study, in the context of the fourth Industrial Revolution, the impact of automation in Brazil with a socioeconomic analysis.


CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S66-S67
Author(s):  
W. Cheung ◽  
N. Dudek ◽  
T.J. Wood ◽  
J.R. Frank

Introduction: Barriers to completing high quality work-based assessments (WBAs) include relational factors such as the episodic and fragmented interaction that often exists between clinical supervisors and trainees. In an effort to increase supervisor-trainee continuity, the Department of Emergency Medicine at the University of Ottawa created Clinical Teaching Teams (CTT) in which a resident and clinical supervisor work matched shifts together throughout the year. The aim of this study was to determine the impact of supervisor-trainee continuity on the quality of assessments documented on Daily Encounter Cards (DECs). Methods: DECs completed by 20 clinical supervisors were collected and sorted into three groups representing differing degrees of supervisor-trainee continuity (Group 1: CTT emergency resident; Group 2: non-CTT emergency resident; Group 3: non-CTT off-service resident). DECs were scored using the Completed Clinical Evaluation Report Rating (CCERR), a 9-item instrument that has been shown to have reliable ratings and the ability to discriminate the quality of completed DECs. Scores were analyzed using a univariate ANOVA with “mean CCERR score” as the dependent variable and “continuity group” and “supervisor” as between-subject variables. The relationship between CCERR scores and number of CTT encounters over time was examined using a repeated measures ANOVA with “encounter number” as the within-subject factor. Results: Mean CCERR scores for the CTT (21.0, SD=5.8), non-CTT (21.9, SD=4.2), and off-service (20.7, SD=4.0) groups differed (p=0.019). A subsequent pairwise comparison demonstrated a statistically significant difference in means between the non-CTT and off-service groups (p=0.04); however, this 1.2 difference on the 45-point CCERR scale is unlikely to be of any educational significance. The number of repeated encounters did not have a statistically significant effect on CCERR scores (p=0.43) indicating that DEC quality did not improve with greater supervisor-trainee interaction. Conclusion: DEC quality as scored by the CCERR was low for all three groups. Increasing supervisor continuity alone did not result in higher quality assessments of clinical performance. Additional research focusing on the educational alliance that develops between supervisor and trainee may hold greater promise.


2019 ◽  
Vol 26 (3) ◽  
pp. 399-430 ◽  
Author(s):  
Tapash Kumar Das ◽  
Neeraj Kumar Goyal ◽  
Anirudh Gautam

Purpose For repairable systems (RSs), reliability estimation is generally performed using virtual age models. Virtual age models consider the effect of maintenance actions by reducing system age using restoration factor (RF). RF is generally estimated from system failure data using various statistical methods. However, RSs such as railway systems experience various types of maintenance actions at different times during their life cycle. To consider all these different types of actions, we need multiple RFs in the virtual age model. As failure data are limited, the estimation of so many parameters becomes a complex problem and it can lead to erroneous inferences. These RFs are representative of effects of maintenance activities on the system. Therefore, these can be predicted from the information about the maintenance actions performed on the system. The paper aims to discuss these issues. Design/methodology/approach The paper considers different types of maintenance actions to predict RF of the system. These maintenance actions involve the replacement of components at some level of assembly. Each component in an assembly has its own impact on assembly restoration. RF for assembly/systems can be obtained by aggregating effects of multiple component replacement using analytical hierarchy process . The RF values obtained for different types of maintenance actions are then used to calculate the virtual age of the system at different failure points. Using these virtual age failure points, suitable distribution is fitted and parameters are estimated. The distribution and parameters provide information about reliability of the system at any point of time. Findings This paper provides an easier approach that gives different RFs for different types of PM and CM. To calculate RFs, it considers the impact of maintenance actions performed as well as the impact of the component on which they are performed. It is simpler and gives more consistent results than other approaches, which estimate RF using different statistical methods. Originality/value This paper provides an alternative approach to predict RF parameters instead of estimating these parameters using statistical methods. Estimation of parameters using different statistical methods is complex in nature and gives erroneous and inconsistent results. The approach given in this paper is simpler and gives more reliable results. This approach can be useful in estimating parameters for RSs when failure data are limited.


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