Corrective Measures Research Articles

Artificial Neural Network-Based Voltage Stability Online Monitoring Approach for Distributed Generation Integrated Distribution System

Due to the growth of electric power demand and the intricacy of modern distribution system structure, the voltage stability issue is evolving as a critical problem in distribution grids. Therefore, it is imperative to investigate the corrective measures. In this paper, artificial neural network (ANN) based voltage stability online monitoring approach for distribution systems with distribution generators (DGs) is proposed. The proposed technique employs a local voltage stability index known as the stability index (SI) to identify the weak bus information, which is more effective compared to the conventional load margin techniques. Furthermore, the nonlinear relationship of the distribution grid control status and the resultant SI is mapped using ANN. From the installed distribution-level phasor measurement units (PMUs), the state parameters of buses can be obtained, and the resultant values of SI can be estimated. This approach can significantly enhance the computational speed of SI and evaluate the voltage stability measurement of distribution network in real-time, which assist the operator of the network in order to determine the operational condition and execute actions quickly. The proposed approach is applied on the modified IEEE 33 and IEEE 69-bus system with DGs. It is found that the computation time needed for assessment of voltage stability by CPF method is 16.2500 s and 21.8872 s whilst the computation time needed for the proposed method for the same assessment is 0.0677 s and 0.0749 s respectively for modified IEEE 33 and IEEE 69-bus system. This demonstrates that the proposed method has high accuracy and efficacy.

Forensic Accounting and Investigative Audit on the Effectiveness of Implementing Audit Procedures in Fraud Disclosure

Forensic accounting is a branch of accounting that focuses on investigating, disclosing, and preventing fraud and illegal activities in the business environment. Its main purpose is to identify, collect, analyze and present evidence that can be used in legal proceedings. Meanwhile, an investigative audit is an approach to auditing that is focused on investigating indications of fraud or non-compliance in the financial statements or business processes of an entity. The effectiveness of implementing audit procedures in disclosing fraud involves the application of a careful and careful methodology to identify signs or evidence of fraud in the financial statements and identify signs of fraud, the auditor uses knowledge about the mode of fraud and analysis of data to identify potential indications of fraud in transactions or financial reports, among others, by using forensic techniques. Auditors can use forensic data analysis techniques, digital examinations, and interviews to gather more in-depth and accurate evidence. Carry out segregation of duties. The auditor must examine the internal control system and ensure that there is adequate segregation of duties to prevent opportunities for fraud as well as test the substance of transactions to ensure that transactions reported in the financial statements actually occur and have a valid basis, in collaboration with the forensic team. In complex cases, the auditor needs to work with a forensic team that has special expertise in fraud analysis to detect fraud and the auditor prepares a report that provides a clear description of the fraud, along with recommendations for corrective measures and fraud prevention. The results of investigative audits are used to identify opportunities for improvement in the internal control system so that fraud can be minimized. Forensic accounting and investigative auditing have an important role in helping businesses detect, address and prevent fraud through a careful and evidence-based approach, effective audit procedures can reveal potential fraud and provide guidance for necessary improvements in internal controls.

Comparative Analysis of the Quality of some Welded Joints Made in Maintenance Interventions in the Food Industry

In the food industry, food safety largely depends on the quality of the surfaces that meet the food. Their various imperfections can become dangerous areas of contamination. The manufacturer of industrial equipment has imposed rules in this regard. This paper highlights certain violations of these rules in the maintenance interventions, carried out in improper conditions at the food processor's headquarters. Some quality control methods of these welded joints are presented, specifying some correlations of surface imperfections with the risks of contamination of the food product. Some corrective measures contained in the European hygienic design guide are also highlighted, with the particularities imposed on welding technologies.

A Review Study on Alternative Conservation and Management Methods to Sustain Medicinal Plants in South Africa

The use of indigenous medicinal plants is still prevalent as the most trusted form of health care, predominantly in developing countries. Overuse of medicinal plant resources, coupled with the negative impacts of unpredictable rainfall and rising temperatures, necessitated the development of local methods to conserve medicinal plants. These indigenous conservation methods have proved to be failing and aggravating threats to medicinal plants. This study aimed to review the alternative conservation and management methods to protect medicinal plants in South Africa. A review of the literature presents in situ, ex situ, natural reserves, wild nurseries, botanical gardens, and seed banks as alternative conservation methods proposed and used by scientists to conserve and manage medicinal plant species. These methods are Western practices introduced to the local communities in an effort to conserve and protect the indigenous medicinal plant species for future use and as a cultural heritage. From a qualitative standpoint, this study adopted the interpretivist research design to offer support to employ the systematic review method. Seminal studies on this subject were purposively collected using keywords extracted from the research topic. The collected data was analysed using the inductive Textual Content Analysis (TCA) method. The results of this study reveal that there are various conservation methods that are implemented as strategies to safeguard the existing medicinal plants, and this proves if these methods are implemented correctly these plants will still be available for future use. It is concluded and recommended that the demand for medicinal plants imposes huge threats to their anticipated availabilities, therefore, the relevant stakeholders need to take urgent corrective measures ­concerned parties should be consistently exposed to improved resources, advanced training and better education about the benefits and importance of these plants. Keywords: Medicinal plants, conservation method, In situ, natural resource

NoisenseDB: An Urban Sound Event Database to Develop Neural Classification Systems for Noise-Monitoring Applications

The use of continuous monitoring systems to control aspects such as noise pollution has grown in recent years. The commercial monitoring systems used to date only provide information on noise levels but do not identify the noise sources that generate them. The identification of noise sources is an important aspect in order to apply corrective measures to mitigate the noise levels. In this sense, new technological advances like machine listening can enable the addition of other capabilities to sound monitoring systems such as the detection and classification of noise sources. Despite the increasing development of these systems, researchers have to face some shortcomings. The most frequent ones are on the one hand, the lack of data recorded in real environments and on the other hand, the need for automatic labelling of large volumes of data collected by working monitoring systems. In order to address these needs, in this paper, we present our own sound database recorded in an urban environment. Some baseline results for the database are provided using two original convolutional neural network based sound events classification systems. Additionally, a state of the art transformer-based audio classification system (AST) has been applied to obtain some baseline results. Furthermore, the database has been used for evaluating a semi-supervised strategy to train a classifier for automatic labelling that can be refined by human labellers afterwards.

Protocol Proposal for Data Collection and Processing in Productivity Assessment of Earthworks Using Audio-Visual and Location-Sensing Technology

During earthworks, monitoring and controlling the actual productivity of construction machines enables insight into the progress of tasks, calculation of expected duration and costs, favorable use and allocation of machines, and the application of appropriate decisions and corrective measures, which is of great interest to contractors. Excavators and tipper trucks are primarily used in earthworks. Manual collection of data from the construction site to assess the actual productivity of machines is today considered an outdated, time-consuming, and subjective method. Therefore, audio–visual and sensing technology devices are replacing manual data collection. The paper aims to propose an innovative protocol for optimal recording/tracking of the work of excavators and tipper trucks using audio–visual (a video camera or smartphone) and location-sensing technology (GPS). The protocol proposal enables a precise statement of the time cycle of excavators and tipper trucks and an estimate of their actual productivity. The application of the protocol proposal on the construction site demonstrated its practicality and functionality.

Assessment of Soil Fertility through GIS Techniques and Thematic Mapping in Rice Growing Areas of Jagtial District in Telangana State, India

Survey was conducted in Jagtial district of Telangana state to identify the soil fertility status of rice growing areas. Soil fertility is one of the major limiting factor for maintaining sustainability in crop yields. Totally 90 surface soil samples collected from the selected rice cultivated farmers’ field. Collected soil samples were tested for texture, pH, EC, organic carbon, available N, P, K and S in order to identify the nutrient status in soils and develop the corrective measures. The soil fertility maps generated through Global Positioning System (GPS) and Arc Geographic Information System (GIS) software to formulate balanced fertilizer recommendations and to understand the spatial variability of nutrients in soil. Survey results showed that the sand was ranged from 44 to 80% and that of silt was 3 to 20 % while the range of clay was 13 to 42% and varied three textural classes viz., sandy clay loam, sandy loam and loamy sand. Soil pH was neutral to slightly alkaline (6.8 to 8.2), electrical conductivity rated as non-saline (0.23 to 0.69 dS m-1), organic carbon was low-medium (0.3 to 0.6%), available-N was low (101 to 195 kg ha-1), available-P was high (26.8 to 61.5 kg ha-1), available-K was medium to high (120 to 449 kg ha-1) and available-S was medium to high (10.0 to 26.8 mg kg-1). Among these organic carbon (%) and available-N were important constraints in soil fertility in rice growing areas of Jagtial district of Telangana state.

Endomarketing Management and Staff Engagement of a Municipality in Peru

Purpose: To determine the relationship between endomarketing management and staff engagement in a municipality in Lima-Peru. Theoretical framework: Kotler and Amstrong (2014) argued that endomarketing consists of the application of theories, techniques, rules of strategic marketing and human resource management at all levels of the organization, seeking to continuously improve the service offered to employees or internal customers. In this sense, employees are seen as corporate partners who need to feel satisfied, so that they work motivated and committed to provide high quality products and services that meet the expectations of the consumer public. Also, Rosen (2020) stated that engagement occurs when employees feel part of the company, i.e., they have an internal incentive, a broad motivation and a sense of commitment quite genuine, it has an exponential growth, as they themselves intervene by contributing novel ideas and care to identify problematic situations. Design/methodology/approach: As stated by Agudelo et al. (2008) the variables were not manipulated, so the design was non-experimental. Likewise, Bernal (2016) argued that, when performing calculations for a research it is of quantitative approach, and if it intends to relate two or more variables it is a correlational work, Likewise, Morgan et al. (2019) argued that as it has been started from hypotheses that can be corroborated or refuted to confront events, the method was hypothetical deductive. And taking into account what was proposed by Salkind, & Bruce (2021), the cut is transversal because the collection of information has been carried out in a limited time frame. Findings: It is evident that 58.82% consider endomarketing to be good, not so far from the average level of 41.18% who observed it to be fair and there were no expressions of finding it bad; in the case of engagement, a considerable 70.59% find it good, which is quite far from the opinion of 27.06% who consider it to be acceptable and only 2.35% perceive engagement to be bad. Research, Practical & Social implications: On the other hand, in the practical argumentation, stated Salkind, & Bruce (2021), reference is made to the fact that with the results obtained corrective measures can be taken to optimize the services of the municipality, which finally leads to a social argumentation, as the users of local government services benefit. Finally, according to Hernández et al. (2014), the social justification is due to the fact that, if the appropriate corrective measures are applied, the users of local government services will benefit. Originality/value: The present work is methodologically postulated because the questionnaires have been adapted for the public sector and the concepts were discussed with an expertise and depth that may be useful in the future for those interested in delving into the conceptions of the variables.

Reliability analysis of standby provision multi‐unit machining systems with varied failures, degradations, imperfections, and delays

AbstractThis prospective study focuses on analyzing the reliability characteristics of multi‐unit systems with standby provisioning, accounting for failures, degradation, random delays, and probabilistic imperfections. The investigation sheds light on how these unreliable attributes hinder the performance and availability of machining systems. Given the frequent occurrence of these negative attributes within machining systems, their impact on production flow, performance, and resource utilization is significant. Moreover, these unfavorable attributes hinder the adoption of advanced technologies that rely on the continuous availability of machining systems. Thorough research on operational traits serves as a foundation for developing solutions to enhance machining system efficiency and elucidates the underlying causes of machining system failures throughout their performance lifecycle. The reliability analysis employs a state‐of‐the‐art queue‐theoretic approach. In order to model the stochastic behavior of the investigated machine repair problem in a systematic manner, we consider various statistically independent failure modes, including active/standby unit failure, degraded failure, switching failure, and common‐cause failure. The unreliable characteristics of machining systems are further compounded by factors such as imperfect fault coverage, reboot delay, and imperfect repair, necessitating a comprehensive examination to strategically implement preventive, corrective, and predictive measures. The seamless operation of multi‐unit machining systems is essential for the successful integration of advanced technologies such as cloud computing, industry 4.0, and IoT. Failures, delays, degradation, and imperfections within machining systems have detrimental effects on their efficiency and availability, demanding in‐depth investigation. To facilitate numerical experimentation and sensitivity analysis of the reliability aspects of the proposed machining system, we develop performance indices such as system reliability, mean‐time‐to‐failure, and failure frequency. These metrics provide valuable insights for decision‐makers seeking to implement measures that ensure uninterrupted availability of the machining system.

THE DETECTION OF FRAUD : HOW DO FINANCIAL STABILITY AND FINANCIAL DISTRESS AFFECT FRAUDULENT FINANCIAL REPORTS?

The rise of financial statement fraud is currently the basis for research conducted. Companies often use financial statement fraud schemes. These show how important it is to check on a business' health often and take corrective measures if necessary. Falsifying financial accounts is a common practice among businesses to give the impression that everything is fine when it is not. The purpose of this study is to estimate and analyze how financial stability and financial distress impact financial statement fraud. The investigation will encompass all manufacturing businesses listed on the Indonesia Stock Exchange between 2020 and 2022. Based on the results of the purposive sampling method, We used a sample size of 35 companies for the study, which equates to about 105 sample data will be observed for three years, from 2020 to 2022. After that, multiple linear regression is used to analyze the data. This study contributes to the increasing body of data indicating the incidence of fraudulent accounting is not the same in times of economic boom and bust. This research shows that financial stability has not a deleterious effect on the likelihood of financial statement fraud and financial distress significantly and positively affects financial statement fraud.. The implication to the research, it is crucial for businesses to adopt preventive measures and to ascertain early on whether they are healthy or not in order to avoid making false financial statements.

Opportunities and Challenges in Implementing the Covid-19 Response Village Programme

This study evaluates the implementation of the Covid-19 Response Village Programme in Pulau Tiga Plantation Village, Aceh Tamiang District. The results show that the programme implementation has not run optimally because there are obstacles in several aspects. Firstly, in terms of communication, there is a lack of clarity and consistency of information regarding the prevention and control of Covid-19 delivered by the implementing officers. Secondly, limited human resources have an impact on the ineffective implementation of the prevention programme in this village, and can be seen in several activities that are not carried out optimally. In addition, the lack of facilities and infrastructure, especially the unavailability of a special isolation room, causes people who are positive for Covid-19 to undergo independent isolation in their respective homes. Local community participation is also still low in several prevention activity programmes carried out. To improve programme implementation, corrective measures need to be taken, including the preparation of clearer and more consistent information, increasing human resources involved in the programme, and providing adequate facilities for handling Covid-19. It is expected that with these corrective measures, the implementation of the Covid-19 Response Village Programme can run more effectively in protecting public health and reducing the risk of virus transmission in the village area.

Improvement of quality characteristics of medical services based on patient satisfaction measurement results and QFD tools

One of the directions to increase the effectiveness of medical organizations in the region is the development of managerial tools for improving the quality of medical services. The aim of the study is to develop an approach to improving the quality of medical services based on the results of measuring patient satisfaction with the quality of medical services, mapping satisfaction criteria to medical and technological characteristics of the quality of services, substantiation and selection of appropriate corrective measures. The method of measuring patient satisfaction with the quality of the provided medical service and the method of deploying quality functions ensuring transformation of patient needs and expectations into characteristics of service quality were used. The measurement of patients' satisfaction with the quality of medical services is carried out during medical and sociological research. The measurement results are obtained by statistical processing using a software set. To determine measures to improve the quality of cardiological services, the results of changing patient satisfaction were used in accordance with the method of deploying quality functions, which consists in implementing a number of steps that ensure the determination of a minimum set of additional requirements for medical services in order to meet the requirements of patients. This technique is supported by specialized software. Implementation of the proposed approach makes it possible to form tools aimed at creating an information model of medical services and ensure the change in the quality of such services demanded by patients.

A Review on Self Healing Concrete

Abstract: Self-healing concrete, also known as bacterial concrete, fills in structural flaws caused by bacterial response in the concrete after it has hardened. The manufacture of bacterial concrete and several bacterial types are addressed. The usage of technology has raised construction standards to a new, lofty level in the modern era. To create a concrete structure that is excellent, sustainable, and affordable, several sorts of procedures, methods, and materials are used. However an effective building struggles to last the length of time it is intended to due to human error, improper handling, and unskilled work. After construction, a number of issues, including weathering, cracks, leaks, and bending, etc., appear. Many corrective measures are implemented before and after the construction to address these types of issues.This review paper mainly focuses on biological self healing concrete but the chemical self healing concrete is also mentioned

Failure Mode Effect Analysis of Composites Prepreg Manufacturing Process for Airworthiness Certification - A Case Study

Airworthiness certification of aircraft structures requires a holistic approach ranging from material manufacturing process to design evaluation of airframe components. Present day airframe structures find greater applications of composite materials owing to their extraordinary mechanical properties on pro rata weight basis. In case of polymer based composites, the prepreg form of material is preferred for several applications due to matrix efficiency (high fiber-to-volume ratio) and ease of application. As part of composite material certification, the design audit of composite prepreg manufacturing process is carried out to assess the possible failure scenarios. Manufacturing Process Design and Control plays a significant role in satisfactory realization of composite parts right from raw material stage. Process variability/ scatter can lead to large variation in performance of the final product and thus stringent control of process parameters is essential to achieve aero-grade composite structures. This study provides basic understanding of composite prepreg manufacturing process and application of FMEA as a process design tool to detect and assess potential failures with an aim to devise preventive measures for improved process control. The complete process of manufacturing prepregs is divided into three stages viz.: Fabric weaving, Resin formulation and Prepregging operation. FMEA principles are used to identify the predominantly vulnerable operations and to quantify the inherent risk associated. Risk Priority Numbers (RPN) are evaluated for various operations in these three stages. Based on process technology and engineering expertise, suitable corrective and preventive measures are offered according to the potential risk factors and failure types. Emphasis is to prioritize the efforts and attention towards major preventive measures by targeting the least number of factors causing the maximum impact for failures (Pareto principle). Present study substantiates the significance of trained personnel, proper documentation of operating procedures and work instructions along with contamination control as critical factors in eliminating failures in composite prepreg manufacturing process.

The influence of cytokine reactions on the nature of the course of adaptive mechanisms in newborns of different gestational ages

Introduction. The study of the mechanisms of adaptation and consequences of deadaptation in newborns, and especially premature babies in the first days of life is an integral part of neonatal practice. The cytokine system is considered as sensitive and informative indicators of homeostatic disorders in newborns of different gestational ages.Aim. To assess the features of the early neonatal period in newborns of different gestational ages according to the nature of changes in the levels of interleukin-1, -4, -8 in the cord blood and on the 3-4th day of the infant's life.Materials and methods. 108 newborns were examined, of which 64 premature infants of the gestational age of 32 (0/7) - 36 (6/7) weeks were included in the treatment group: moderately premature infants (32 (0/7) - 33 (6/7) weeks) and late premature infants (34 (0/7) - 36 (6/7) weeks). The control group included 44 conditionally healthy full-term infants born between 37 (0/7) and 41 (6/7) week of gestation: early full-term (37 (0/7) - 38 (6/7) weeks) and full-term intants (more than 39 (0/7) weeks).Results and discussion. The full-term infants, as well as late premature infants, whose clinical status was assessed as satisfactory, usually showed minimum levels of all studied cytokines. If the early neonatal period was complicated, high levels of interleukin-1 and -8 with underlying slightly elevated levels of anti-inflammatory interleukin-4 were observed. This fact supports the activation of cytokine reactions during manifestation of pathological symptom groups generated by various organs and systems in the early neonatal period.Conclusion. The nature of cytokine reactions can serve as a marker of unfavourable course of the early neonatal period in premature infants and a criterion that justifies the implementation of necessary corrective measures.

Work psychosocial factors and stress in medical staff in the epidemiology area of a public institution

Psychosocial risk factors are conditions present in the work environment that are related to the organization of work, its social environment, work content and the performance of the task that can affect the health of workers. This research aims to determine the psychosocial factors at work and stress in the medical staff of a public institution. Research under the positivist, quantitative, observational, descriptive and cross-sectional paradigm. The population and census sample consisted of 15 medical profession workers. In the collection of information, three questionnaires from the Battery of instruments for the evaluation of psychosocial risk factors of the Ministry of Social Protection, Colombia (2010) were applied. The results show that women predominated (80.0%), where (46.7%) was single, with an average age and seniority of 32 years and 10 years respectively. As for psychosocial work factors, high and very high risk levels were found in 53.3%, with extra-work conditions being the most unfavorable, associated with the economic situation of the family group (80.0%), characteristics of the home and the environment (73.3%) and home-work-home displacement (73.3.%). On the other hand, 40.0% of the personnel studied perceived high and very high risk levels of stress. Concluding that the population is exposed to occupational psychosocial factors, with the appearance of revealing symptoms of stress. Therefore, the use of corrective measures that help minimize possible damage to health is recommended.

Patients' recollections of helmet-CPAP treatment during COVID-19 pandemic: A qualitative study.

During the pandemic outbreak, helmet continuous positive airway pressure (CPAP) was widely used as respiratory support for COVID-19 patients, inside and outside of intensive care units. The available literature suggests specific interventions to improve the comfort of patients treated with helmet-CPAP. Few reports are available on the experiences of patients undergoing this treatment. This qualitative study aimed to explore the views and recollections of COVID-19 patients undergoing helmet-CPAP. We conducted semi-structured interviews with thematic analysis. Participants were recruited from the follow-up programme for COVID-19 patients discharged from an Italian general intensive care unit. Participants were interviewed by telephone. Data analysis followed the principles of thematic synthesis approach. We conducted 29 phone calls in patients eligible for the study. Five participants declared that they did not remember the time spent in hospital on helmet-CPAP. Twenty-four patients were then included. Two themes and six subthemes were generated from their interview data: (1) The helmet-CPAP as a life-saving treatment (subthemes: recognition of the usefulness of treatment and resilience); (2) the negative feelings related to helmet-CPAP application (subthemes: communication problems, entrapment, mental confusion, fear of dying). Each patient's experience was unique, but some discomfort elements such as noise, gas flow turbulence, choking sensation and thirst were found to be very common. The application of helmet-CPAP treatment generated positive and negative memories and feelings in COVID-19 patients during the pandemic. The patients' experience has provided an overview of the main factors of discomfort. This can be a starting point for taking corrective measures to promote greater helmet tolerance and subsequent treatment success. This study has provided an insight into the patient's recollections about helmet-CPAP treatment during a worldwide pandemic. The findings suggested strict applications of interventions aimed to reduce some issues that participants reported, to improve their compliance to treatment. Results from this study could help nurses in understanding the needs of patients treated with helmet-CPAP and may foster a care focused on patient-centred outcomes.

The empirical study of gradation of crushed sand concrete properties using six sigma DMAIC methodology

Fine aggregate plays a key role as a filler material in concrete’s fresh and hardened properties. Generally, in Portland cement concrete aggregate occupies 70-85% by weight and 60-70% by mass. In Pakistan, Lawrence pur the sand as the only sand that meets the ASTM standards. But due to heavy transportation costs, it is not cost-effective to use in most parts of the country. The tests were carried out in accordance with ASTM standards, and the concrete mix designed with three water-cement ratios of 0.40,0.45, and 0.50 called for a mixing procedure. At 28 days of curing, an M30 concrete mix comprising five control mixes including parent concrete was evaluated and compared to parent concrete. This experimental work aimed to enhance the fresh and hardened properties of concrete such as the workability of concrete mix, compressive, and flexural strengths by using locally available Jhelum River sand gradation crushed sand (passing sieve #4, the waste product of Sargodha coarse aggregate), s a fine aggregate material. Using six sigma DMAIC Methodology 9 defects in the Jhelum River sand and control mix have been identified and corrective measures were taken to improve the quality of the concrete mix. The results derived from this experimental work show that adding 50% crushed sand in Jhelum River sand increases compressive strength by 27% and flexural strength by 20% which makes it according to ASTM Standards. The use of crushed sand as an alternative to natural river sand efficient and safe material. This control mix also reduces the construction cost by 10% in comparison to lawerancepur sand.

Improving the Quality of Automotive Components through the Effective Management of Complaints in Industry 4.0

The fundamental problems with component production in the automotive industry are the low quality of the components, the high number of failures, and the subsequent number of complaints. The quality of automotive components is a prerequisite for automated production in a SMART Factory 4.0 in the context of Industry 4.0. Managing complaints is a critical area in the automotive manufacturing industry. The primary goal of this article is to indicate the significance of a CRM system and the importance of complaints management in automotive manufacturing, which improves the quality of the process of producing components while improving the quality of the inputs—the quality of materials, the quality of the human factor, and the quality of the services provided in connection with the components. (1) A Slovak company was selected as the subject of this research, which focuses on the production of automotive parts. (2) The methods of research focused on using economic analysis and instruments of quality management such as the QRQC method, FMEA method, the Ishikawa diagram, and the Pareto analysis and Lorenz curve. This article presents the results of complaints about automotive components: locksets in vehicles. (3) This research shows the basic cause of the problem: a bent pin after riveting in the process of producing the components. In the frame of this research, we suggested corrective measures to eliminate the actual causes of failure in the production of the components. The RPN index reached a level below the limit of 150 (the critical level of the customers’ requirements) after implementing the corrective measures. The total costs of complaints in this year were calculated to be EUR 13.575 and the costs will be reduced gradually after changes are implemented in the production process. (4) A new complaints information system and a new training center are beneficial for solving problems in the production of automotive components. The implementation of a CRM system and other systems are prerequisites for solving customer complaints.

Identifying and Prioritizing of Indicators Affecting Resilience in the Event of Fire-Induced Emergencies in a Combined Cycle Power Plant Using Fuzzy Analytic Hierarchy Process (FAHP)

Background: Increasing the level of resilience is one of the approaches to reduce the consequences of fire. Emergency resilience is one of the most important and practical concepts in crisis management that has been considered in recent years. Objectives: The current study was aim to identify and prioritize of indicators affecting resilience in the event of fire-induced emergencies in a combined cycle power plant using fuzzy analytic hierarchy process (FAHP). Methods: By reviewing the texts and semi-structured interviews with 15 experts, 20 effective indicators in fire resilience in the combined cycle power plant were identified and classified into three main groups based on the McManomen model. In the next step, the weights of the indices of each group were determined using the FAHP method. Finally, the first three indicators of each group were selected for final prioritization and pairwise comparisons were performed between them again. Results: The results showed that three indicators of structural stability (w=0.168), senior management awareness of roles and responsibilities (W = 0.145), risk perception and acceptance (W = 0.138) play the most important role. And logistics support index (0.069) is the least important in determining the level of resilience. Conclusion: By recognizing the effective indicators in determining the level of resilience against fire in emergency situations, decision makers could define and implement corrective and preventive measures to improve safety and increase resilience based on priority.