scholarly journals Analyzing the risk factors of private–public partnerships for water supply projects using fuzzy synthetic evaluation: a case study of Iranian water supply projects

2017 ◽  
Vol 18 (3) ◽  
pp. 1005-1019
Author(s):  
Jalal Rezaeenour ◽  
Mohammad Mousavi-Saleh ◽  
Abdol Rahman Kolahkaj
Keyword(s):  
Risk Factors ◽  
Water Supply ◽  
Risk Level ◽  
Fuzzy Synthetic Evaluation ◽  
Effect Analysis ◽  
Fmea Method ◽  
Level Of Risk ◽  
Overall Risk ◽  
Synthetic Evaluation

Abstract To compensate for the lack of funds for investment in private sector and infrastructure projects, governments may propose public–private partnerships (PPPs) to be able to use share capital and establish the necessary infrastructure of the country. The current study was undertaken to identify and determine the risk factors in PPPs for water supply projects in Iran. After identifying the risk factors using failure mode and effect analysis (FMEA), the risk priority number of each was assessed. This identified the most critical risk factors, which were then categorized into experimental, legal, financial, and technological subcategories. The fuzzy synthetic evaluation (FSE) technique and FMEA method were then blended and the FSE technique was modified for measuring the overall risk level. The computational results show that the levels of risk were ranked as follows (highest to lowest): financial, experimental, technological and legal. The level of risk in the financial subcategory was 6.11, in the experimental was 6.05 and in the technological and legal was 5.94 and 5.83, respectively. The overall risk level in PPPs for Iranian water supply projects considering linguistic variables as the criteria was 5.98, which is high. This level of risk confirms the applicability and suitability of the model.

scholarly journals Risk analysis of production process for food SMEs using FMEA method: a case study

2021 ◽  
Vol 331 ◽  
pp. 02010
Author(s):  
Prima Fithri ◽  
Muhammad Rafi ◽  
Pawenary ◽  
A. S. Prabuwono
Keyword(s):  
Human Resources ◽  
Production Process ◽  
Critical Value ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Increase Productivity ◽  
Fmea Method ◽  
Bread Production ◽  
A Company

The increasing development of the industry makes every industry have to compete with other competitors to gain an edge. The advantages of competition are influenced by several factors, one of which is good human resource management. Where if a company has good human resources, it will increase profits indirectly and can increase productivity. This research discusses case studies about the potential dangers of IKM Heppy Bakery’s potential dangers that can harm workers in bread production. The method used is Failure Mode And Effect Analysis (FMEA). Later, the data will be filled and given a rating distinguished into three parts: severity, occurrence, and detection. The data were obtained through questionnaires given to 3 workers at IKM Heppy Bakery and filled in rating values based on the provisions that have been given to the questionnaire. This Value helps determine the Risk Priority Number (RPN) obtained from multiplication between severity, occurrence, and detection. After processing the RPN multiplication data, the highest RPN value was obtained by 193 with the danger factor of the operator overheating and dehydrating due to high temperatures. Furthermore, the calculation of critical Value was obtained by 109. Based on the critical Value obtained seven hazard factors above the critical value, these seven hazard factors need to be improved so that workers do not avoid accidents when conducting the production process.

scholarly journals A fuzzy synthetic evaluation of the challenges of smart city development in developing countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Douglas Omoregie Aghimien ◽  
Clinton Aigbavboa ◽  
David J. Edwards ◽  
Abdul-Majeed Mahamadu ◽  
Paul Olomolaiye ◽  
...  
Keyword(s):  
Developing Countries ◽  
Smart City ◽  
Smart Cities ◽  
Synthetic Approach ◽  
Fuzzy Synthetic Evaluation ◽  
City Development ◽  
Content Type ◽  
Legal Challenges ◽  
Synthetic Evaluation

PurposeThis study presents a fuzzy synthetic evaluation of the challenges of smart city realisation in developing countries, using Nigeria as a case study. By defining and delineating the problems faced by the country, more viable directions to attaining smart city development can be achieved.Design/methodology/approachThe study adopted a post-positivist philosophical stance with a deductive approach. A structured questionnaire was used to gather data from built environment professionals involved in the delivery of Nigerian public infrastructures. Six dimensions of the challenges of smart cities were identified from literature and explored. They are governance, economic, social, technological, environmental and legal issues. Data gathered were analysed using Cronbach alpha test for reliability, Shapiro-Wilks test for normality, Kruskal-Wallis H-test for consistency and fuzzy synthetic evaluation test for the synthetic evaluation of the challenges of smart city attainment.FindingsThe findings revealed that all six assessed dimensions have a significant impact on the attainment of smart cities in Nigeria. More specifically, issues relating to environmental, technological, social and legal challenges are more prominent.Originality/valueThe fuzzy synthetic approach adopted provides a clear, practical insight on the issues that need to be addressed before the smart city development can be attained within developing countries.

Use of fuzzy synthetic evaluation for assessment of groundwater quality for drinking usage: a case study of Southern Haryana, India

2007 ◽  
Vol 54 (2) ◽  
pp. 249-255 ◽  
Author(s):  
Bhupinder Singh ◽  
Sudhir Dahiya ◽  
Sandeep Jain ◽  
V. K. Garg ◽  
H. S. Kushwaha
Keyword(s):  
Groundwater Quality ◽  
Fuzzy Synthetic Evaluation ◽  
Synthetic Evaluation

Evaluating the Risk of Failure on Injection Pump Using Fuzzy FMEA Method

2014 ◽  
Vol 657 ◽  
pp. 976-980 ◽  
Author(s):  
Nicoleta Rachieru ◽  
Nadia Belu ◽  
Daniel Constantin Anghel
Keyword(s):  
Failure Mode ◽  
Traditional Method ◽  
Assessment Model ◽  
Risk Level ◽  
Analysis Method ◽  
Effect Analysis ◽  
Pump Design ◽  
Injection Pump ◽  
Fuzzy Fmea ◽  
Fmea Method

This research is aimed at utilizing failure mode and effect analysis (FMEA) which is a reliability analysis method applicable to rotary injection pump design. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate, the risk level of failures to rank failures and to prioritize actions. RPN is obtained by multiplying the scores of three risk factors like the Severity (S), Occurrence (O) and Detection (D) of each failure mode. RPN method can not emphasise the nature of the problem, which is multi-attributable and has a group of experts' opinions. Furthermore, attributes are subjective and have different importance levels. In this paper, a framework is proposed to overcome the shortcomings of the traditional method through the fuzzy set theory. Two case studies have been shown to demonstrate the methodology thus developed. It is illustrated a parallel between the results obtained by the traditional method and fuzzy logic for determining the RPNs. We expect that fuzzy FMEA model will assist FMEA team in assess and rank risks more precisely compared with risk assessment model of method.

scholarly journals VULNERABILITY TO CLIMATIC RISKS IN NATIONAL AND LOCAL ASPECTS

2019 ◽  
Vol 13 (2) ◽  
pp. 249-258
Author(s):  
Valentin Răileanu ◽  
Maria Nedealcov ◽  
Galina Mîndru ◽  
Rodica Cojocari ◽  
Olga Crivova
Keyword(s):  
Risk Factors ◽  
Initial Data ◽  
Water Supply ◽  
Adaptive Capacity ◽  
Statistical Data ◽  
Extreme Values ◽  
Vulnerability Index ◽  
Climate Risks ◽  
Climatic Risks

Republic of Moldova’s territory’s Livelihood Vulnerability Index (LVI), calculated from exposure, sensitivity and adaptive capacity to climate risks, is presented. Extreme values of climate risk factors, water supply, and statistical data on socio-demographic profile were used as the initial data. As a case study, LVI and its components for the Cogâlnic River’s basin within the limits of Republic of Moldova’s boundaries was extracted from the obtained maps.

Quality Improvement in Three-Way Catalytic Converter (TWC) System Using Failure Mode and Effect Analysis (FMEA) Methodology

2012 ◽  
Vol 165 ◽  
pp. 290-294
Author(s):  
Syed Najib Syed Bahari ◽  
Wan Ahmad Wan Yusoff
Keyword(s):  
Risk Factors ◽  
Quality Improvement ◽  
Heterogeneous Catalysis ◽  
Failure Mode ◽  
Catalytic Converter ◽  
Point Of View ◽  
Exhaust Emission ◽  
Effect Analysis ◽  
Fmea Method ◽  
Quality Improvement Tool

This paper intends to present the application of FMEA method on Three-Way Catalytic Converter (TWC) system. Catalytic converter of auto-exhaust emission is one of the most successful applications of heterogeneous catalysis, both in commercial and environmental point of view. FMEA method will be applied to this system to quantitatively determine and evaluate its risk factors. This method is being employed effectively for identifying and addressing what potentially could go wrong with a product or process. It is expected to enhance the lifetime of the TWC by improving its resistance to deactivation. It is widely accepted that FMEA is one of the best quality improvement tool. For the last several decades, FMEA has been widely used in industry especially in automotive sectors. This research will cover mostly on the system and design of the TWC itself as the most important part for controlling the exhaust emission from automobiles. By improving its resistance to deactivation will contribute to longer lifetime of automotive catalytic converter.

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