Fine Kinney Method Research Articles

Analysis of Accident Risk Factors in Kayseri Cement Factory by Fine-Kinney Method

Madencilik ve inşaat, ülkelerin sosyo-ekonomik kalkınma ve istihdam yaratmalarına katkıda bulunan lokomotif sektörlerdir. Ancak; bu sektörler her an kaza risk faktörlerini bünyesinde barındıran, İş Sağlığı ve Güvenliği (İSG) yönünden çok tehlikeli iş kollarıdır. Türkiye’de yaşanan iş kazalarının %46,4’ü ve buna bağlı ölümlerin %41,1’i maden, inşaat ve metal sektörlerinde meydana gelmektedir. Çimento sektörü ülkemiz ekonomisine büyük katkılar sağlamış ve sağlamaya devam etmektedir. Fakat çimento sanayiinde çalışanlar pek çok istenmeyen iş kazasına maruz kalmaktadır. Bu araştırmada, Kayseri çimento fabrikası hammadde sahalarından üretim süreçlerine kadar yaşanabilecek muhtemel iş kazası risk faktörleri Fine-Kinney Metodu (FKM) ile analiz edilmiştir. Tespit edilen mevcut riskleri kabul edilebilir risk seviyesine indirgemek için, düzeltici önleyici faaliyetler (DÖF) belirlenerek çözüm önerilerinde bulunulmuştur.

The Comparison Between Classical Fine Kinney Analysis and Fuzzy Fine Kinney Method Used in Gas Stations

Akaryakıt istasyonları nace kodundan bakıldığı zaman çok tehlikeli işyeri kategorisinde yer almaktadır. Bu işyerlerinde aynı zamanda çok sayıda çalışan sirkülasyonu bulunmaktadır. İş güvenliği ve sağlığı eğitimleri her zaman aksatılmadan yapılsalar dahi risk değerlendirmesi ile tehlikelere kaynakta müdahale etmek en iyi korunma yöntemi olarak görülmektedir. İlgili yönetmelik ve yasalarla akaryakıt istasyonlarındaki tehlikelere dair tedbirler alınması hedeflense de, yeterli gelmemektedir. Ve akaryakıt istasyonları insan sağlığı ve çevre güvenliği için ciddi riskler içermektedir. Buralarda iş güvenliği uzmanlarına, işyeri hekimlerine ve işverenlere sürecin kontrol ve takibini sağlamak açısından çok görev düşmektedir. Bu nedenle sektörde yapılan her bir risk değerlendirmesi çok önemlidir. Akaryakıt istasyonlarındaki riskleri insan kaynaklı veya doğal afet kaynaklı olarak ayırabiliriz. Bu çalışma sektöre bir bakış yapıldıktan sonra literatür taraması ile devam etmektedir. Literatür taraması sonucu sektöre özgü başlıca tehlikeler belirlenmiştir. Daha sonra bu sektörden seçilen ve alanında uzman olan kişilerle görüşme sağlanarak; belirlenen tehlikelerin üzerinde değerlendirme yapılmıştır. Zoom görüşmesi şeklinde yapılan bu görüşmeler sonucunda son liste belirlenmiş ve bu tehlikelerin olasılık, frekans ve şiddet değerlerinin tespiti sağlanarak Fine-Kinney metodu ve Bulanık Fine- Kinney metodu ile iki ayrı risk skoru hesaplanmıştır. Bu skorların karşılaştırılması yapılarak önem derecelerine dair bir tablo hazırlanmıştır. Yapılan hesaplamalar ve karşılaştırmalar ile elde edilen sonuçlar değerlendirildiğinde bulanık mantıkla hazırlanan Fine-Kinney risk değerlendirmesinin metodunda skalalarının daha geniş çerçevede yer almasından dolayı sonuçların daha net ve belirlenen tehlikeye özgü olduğu gözlenmiştir. Bundan dolayı bulanık mantıkla yapılan Fine-Kinney risk değerlendirmesi metodu önerilmektedir.

Mitigation of Enterprise Supply Chain by Integrating Fine-Kinney Method And Analytical Hierarchy Process (AHP)

PT. VUB is engaged in construction manufacturing which is under the auspices of PT. Semen Indonesia Beton which will then be sent to retailers or distributors throughout Indonesia. The problem faced today is that companies often experience out of stock due to the fluctuating number of requests and inappropriate raw material planning that hampers the production process. This study aims to identify risky activity factors, plan appropriate strategies to minimize risk factors that occur in the company and provide solutions that can improve supply chain performance. The method used in supply chain risk mitigation at PT. VUB BM plant Pandaan is Fine-Kinney which aims to expose the value of risk factors based on the level of impact of the severity of the risk, and the solution uses the Anaytical Hierarchy Process (AHP) method as a determinant of the weight of risk mitigation strategies in the supply chain. From the results of risk identification at PT. VUB BM Pandaan was found that the highest risk occurred in the variable lack of K3 implementation in the production process with a risk rating value of 420 which has a very high risk factor because it can cause work accidents to employees. And the results of risk analysis with the criteria of raw material suppliers, production processes and distributors using the AHP method obtained 7 alternative supply chain risk mitigation strategies. With this research, it is hoped that it can help companies to reduce the risk of the company's supply chain.

An Investigation on Different Risk Analysis Methods in Public Hospitals : an Example Application

Günümüzde risk yönetimi ve değerlendirmesi iş sağlığı ve güvenliği felsefesinin en önemli unsurlarından biri olarak karşımıza çıkmaktadır. Sağlık sektörü çalışma ortamında karşılaşılabilecek riskler, tehlikeli durum ve davranışlar ile meydana geldiğinde ortaya çıkabilecek sonuçları göz önüne alındığında en riskli çalışma alanlarından biridir. Ülkemizde sağlık çalışanları sağlık hizmet sunumlarının birçok alanında hizmet vermektedir. Özellikle hastanelerde; biyolojik, kimyasal, fiziksel, ergonomik, psikososyal risklerle karşı karşıya çalışmaktadır.
 Bu çalışmanın amacı, kalitatif risk değerlendirme metotlarından L Matris ve Fine-Kinney risk değerlendirme yöntemlerinin karşılaştırılarak sağlık sektöründeki etkinliklerinin değerlendirilmesidir.
 Çalışma sonucunda L tipi Matris yönteminde tespit edilen tehlike kaynaklarının risk önem dereceleri orta seviye risk önem derecesinde iken; Fine-Kinney yönteminde aynı tehlike kaynaklarının risk önem derecesi Yüksek/Çok yüksek seviyesinde karşımıza çıkmaktadır.

A new hybrid risk assessment method based on Fine-Kinney and ANFIS methods for evaluation spatial risks in nursing homes

Today, as the elderly population in the world increases, the increase in those living in nursing homes causes their problems to be even more important. Spatial hazards cause injury and death most of the time, therefore should be evaluated risks then corrective and preventive actions should be implemented. Fine-Kinney is one of the most widely used risk assessment methods, but it has some shortcomings. One of them is that risk factors such as probability, frequency, and severity are accepted as equally important, but they can have different importance weights in real-life applications. Another is that experts assess the risk magnitudes using their opinions, who usually tend to use linguistic expressions instead of crisp numbers, in incomplete information and uncertain situations. The last is that the experts' experiences are not effectively incorporated into the automation of the risk assessment. The adaptive neuro-fuzzy inference system (ANFIS) method, which is a machine learning method, can overcome all these shortcomings.In this study, a novel hybrid risk assessment method based on Fine-Kinney and ANFIS is developed to predict the class of a new occurring risk. The hybrid method was applied to nursing homes located in Turkey. The risk classes predicted with the hybrid method were compared to ones found in the traditional Fine-Kinney method. It was determined that the prediction accuracy and Fleiss kappa value of the new hybrid method were 95.745% and 0.929 respectively. Thus, the hybrid method can be used instead of the traditional Fine-Kinney method to determine the class of a new risk, because it does not require a large number of experts and provides a faster assessment.

Риск-ориентированный подход к обеспечению работников средствами индивидуальной защиты

An example of determining the list of personal protective equipment and flushing agents for an electric and gas welder is considered, taking into account the risk-oriented approach in accordance with the Uniform standards for issuing personal protective equipment and flushing agents. An analysis is also being made of the sufficiency of providing personal protective equipment for an electric and gas welder of LLC Gazprom UGS after the entry into force of the order approving the Uniform standards for issuing personal protective equipment and washing agents. In the course of the study the hazards were identified, and occupational risks were assessed using the Fine-Kinney method for the workplace of an electric and gas welder at LLC Gazprom UGS. Based on the results of the assessment of the occupational risks, a list of personal protective equipment was determined that is required to provide an electric and gas welder in accordance with the Uniform standards for issuing personal protective equipment and washing agents. A comparative analysis of the current norms for the issuance of protective equipment to an electric and gas welder at LLC Gazprom UGS, and the list of protective equipment required to ensure it in accordance with the Uniform Standards for the issuance of personal protective equipment and washing agents showed no significant differences. However, this study showed that the use of a risk-oriented approach to providing workers with personal protective equipment will allow identifying hazards at a particular workplace and selecting more effective protective equipment based on the results of a special assessment of working conditions and occupational risk assessment.

The probabilistic linguistic term sets based ORESTE method for risk evaluation in Fine-Kinney model with interactive risk factors

The Fine-Kinney model is a quantitative and effective method to identify and evaluate potential risks. The Fine-Kinney method has been widely used in practice, while the traditional Fine-Kinney method is difficult to access risk parameters precisely in practice. Besides, the current Fine-Kinney method fails to take into account the fact that decision makers are interrelated in practice. Further, the detailed relationships among the potential hazards cannot be reflected in the conventional Fine-Kinney method during the risk priority process, especially in the case of uncertain information. To compensate these deficiencies, this paper proposes an extended Fine-Kinney framework by integrating ORESTE (organísation, rangement et Syn-thèse de données relarionnelles) (in French), Choquet integral, and Probabilistic Linguistic Term Sets (PLTSs). Firstly, the PLTSs are utilized to express the decision makers’ complex risk preference information. Then, the Choquet integral is used to integrate risk evaluation information, which can simulate the potential interaction relationships among individual risk evaluation of decision-makers. Next, an extended ORESTE based on the PLTSs method is used to obtain the priorities of potential hazards, in which distance measure of PLTSs is applied to replace Besson’s ranks. Moreover, the PIR (preference, indifference, and incomparability) structure is constructed to describe the detailed relationships between potential hazards. Finally, an illustrative example is described to illustrate the proposed risk evaluation method. After that, the rationality and efficiency of the proposed method are tested through the comparison with other similar methods.

Hazard Identification and Risk Analysis in Rebar Rolling Plant

Employees are constantly in action for the production of goods and services in workplaces. These workplace activities affect the physical and mental health of the employees and cause occupational accidents. Elimination of these negativities is possible with the implementation of occupational health and safety services. Safety organisation is also very important in steel rolling mills so that employees are not exposed to danger. As in any other industry, steel rolling mill workers work with dangerous machinery that causes injury, disability and death. Safe working is an integral part of risk management. Risk management is the process of taking and implementing action to reduce the possibility of an assessed risk occurring. Therefore, known or tolerable risks are managed. In safe workplaces, productivity is high, work accidents and occupational diseases are low. Safe workplaces are only possible with risk management. In this study, the rolling mill area of a workplace producing rebar with the Fine-Kinney Method was analysed and the necessary precautions were listed. These measures are generally listed as; implementation of control protocols for the routine operation of the process, providing necessary occupational health and safety training for the personnel, providing the necessary information, repeating the training at regular intervals, following up the protective clothing and equipment to be used in the process, maintenance/repair of the units and the tools used. As a result of these measures, the degree of risk will be reduced to acceptable levels.

Evaluation of Various Risk Factors Caused by Mechanized Equipment Used in Forest Operations

Forestry is among the dangerous work classes due to its working conditions. Especially fatal accidents that may occur during forest operations take an important place in this regard. In addition to occupational accidents, there are various risks such as physical, chemical, biological, ergonomic. These risks are often ignored and can cause serious health problems in long periods. Considering the previous studies on this subject, the main risk factors can be classified as noise, particulate matter and gas. The noise caused by motor movements and particulate matter exposure caused by wood raw material or machine-ground interaction are important conditions. The release of waste gases to the environment during operations are often encountered. The main gases polluting the air include carbon monoxide (CO), sulfur oxides, hydrocarbons and nitrogen oxides. CO is very dangerous because of its rapid mixing with the blood. In this study, a synthesis of previous studies in machine-based risk factors during forest operations was provided and Fine Kinney Method, as one of the most common risk assessment methods used in the subject, were presented. This review paper providing a synthesis of previous studies in machine-based risk factors pointed out the working conditions of forest workers, importance of personal protective equipment and how to use risk assessment methods in the purpose of occupational health and safety.

Fine-Kinney Metodu İle Risk Analizi: Trabzon Liman Örneği

Dünyada ve ülkemizde karayolu, havayolu, demiryolu, deniz yolu gibi çeşitli taşıma yöntemleri kullanılmaktadır. Diğer taşıma yöntemlerine göre uluslararası ticaretin %80-90'ı deniz taşımacılığı ile yapılmaktadır. Denizyolu taşımacılığı ile ağır yükler, tehlikeli kimyasallar, yüksek hacimli yükler daha ucuz ve güvenli bir şekilde taşınmaktadır. Dünyada deniz taşımacılığının fazla kullanılması limanların önemini artırmaktadır. Ülkemizde limanlarımız tehlikeli işyerleri olarak sınıflandırılmaktadır. Yüklenen ve taşınan tehlikeli kimyasallar, farklı makine ve araçların bulunması, liman operasyonlarından kaynaklanan çeşitli riskler içermektedir. Tehlike ve riskleri ortadan kaldırılması için sağlık ve güvenlik önlemleri alınmalıdır. Limanlarda teknik personel eksikliği, limanlarda çeşitli risklerin ve tehlikelerin bulunması, makinelerin, araçların, özel ekipmanların bulunması ve çeşitlilik göstermesi, yabancı personellerin bulunması, liman sahasının genişliği gibi faktörler limanlarda önleyici ve düzenleyici çalışmaların yapılmasını zorlaştırmaktadır Bu çalışmada Trabzon Limanı kapsamında tehlike kaynakları ve riskler belirlenmiş ve risk değerlendirme yöntemi olan Fine-Kinney yöntemi kullanılarak risk analizi çalışması hazırlanmıştır. 
 Trabzon limanını kapsayan risk analizinde 13 tane “Tolerans Gösterilemez Risk”, 19 tane “Esaslı Risk”, 40 tane “Önemli Risk” olmak üzere toplam 72 tane risk tespit edilmiştir.

A Novel Risk Assessment Approach Using a Hybrid Method Based On Fine–Kinney and Extended MCDM Methods Under Interval-Valued Intuitionistic Fuzzy Environment

Subway construction is one of the most dangerous industries due to the highest number of occupational accidents. Risk assessment is an effective tool to evaluate risk factors and reduce the number of accidents in such industries. In this study, a novel risk assessment method is proposed using three-stage hybrid method based on Fine–Kinney risk assessment method to evaluate the risk factors encountered in subway constructions and take necessary precautions against possible accidents. Accordingly, in order to deal with the drawbacks of the Fine–Kinney risk assessment method, a novel hybrid approach, which includes Fine–Kinney, analytic hierarchy process (AHP), and multiple multi-objective optimization by ratio analysis (MULTIMOORA) methods, is suggested under interval-valued intuitionistic fuzzy (IVIF) environment to handle uncertainty in the risk evaluation. To demonstrate the applicability and benefits of the proposed hybrid risk assessment method, a real-life case study in subway construction is presented. To determine the weights of three risk parameters in Fine–Kinney method and the risk priority of occupational risk factors in subway construction, IVIF-AHP and IVIF-MULTIMOORA methods are performed, respectively. Then, a sensitivity analysis is applied to confirm the robustness of the proposed method. Finally, a comparative analysis is carried out to check the consistency of the ranking of risk factors obtained in proposed method. The results prove that the proposed risk assessment method generates consistent and reliable results.

Safety management system of the labor process at enterprises: features of functioning

The article is devoted to the solution of urgent and important problem of improvement of working conditions and labour protection at the enterprise for production of thermoplastic materials. The authors have carried out the analysis and evaluation of occupational risks of some professions in the occupational safety and health management system by the Fine-Kinney method. The main characteristics of the existing approach are considered. Recommendations for the formation of an effective structure of labour protection management are given.

Occupational Risk Assessment of Wind Turbines in Bangladesh

Wind energy is among the foremost vital renewable energy sources in the world. With the increase in its popularity and use, the requirement for safety measures regarding this type of energy is becoming more prevalent. The development and operation requirements that come with installing and running wind turbines have many risks that need managing and mitigation. This study implemented a risk evaluation method for the transportation, construction, operation, and maintenance of wind turbines, employing the fuzzy method. Fuzzy Analytical Hierarchy Process (FAHP), a multi-criteria higher cognitive process technique, was used to determine the weights of the risk parameters evaluated with the Fine–Kinney method. After that, the Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS) was employed for ranking the hazard’s source. Using Occupational Health and Safety (OHS) consultants, this study was conducted in Bangladesh regarding its onshore turbines. Findings have revealed that the most prevalent hazards during transportation, construction, operation, and maintenance, respectively, are “Driving vehicles at night in dark weather conditions”, “Work in hot and humid conditions”, “Inclement weather”, and “Entering of unauthorized persons”. The results of this study can help the OHS department to track these risks and to control and minimize them.

Assessment of occupational health and safety risks in a Turkish public hospital using a two-stage hesitant fuzzy linguistic approach.

Occupational health and safety (OHS) risk assessment studies have gained importance recently as a result of increasing occupational accidents and occupational diseases. The health sector has a greater risk than many sectors for occupational accidents and occupational diseases. Although the health sector is one of the priority sectors in Turkey, OHS practices have not been fully implemented in this field. For this reason, this study adopts a two-stage approach to assess the OHS risks in the health sector by combining the Fine-Kinney and multi-criteria hesitant fuzzy linguistic term set (HFLTS) methods. The proposed method was applied to the OHS risks in the operating room of a public hospital in Turkey. As a solution to the problem, first, the potential hazards and related risks in the operating room were determined by the experts. In this first stage, 44 hazards were determined from the opinions of experts and records of past incidents. Parameter weights were then determined using the multi-criteria HFLTS method. The multi-criteria HFLTS method was used to evaluate seven hazards to be categorized as substantial-risk or higher according to the Fine-Kinney method, taking into account parameter weights. Sensitivity analysis was then carried out. Finally, actions were taken to mitigate the risks.

Evaluation of Ship Manoeuvres in Port by Using Fuzzy Fine Kinney Method

Ports are the connection points between the sea and the land in the maritime industry, have an important role in world trade. Ports host many ships each day. The characteristics of the ships that can manoeuvre within the port limits are determined depending on the technical structure of the ports and the environmental conditions of the ports’ location. The characteristics of the ships such as their type, length, width, draft, and tonnage are important factors that determine the port’s limitations. If these restrictions are not followed, it is inevitable for marine accidents to happen within the port area, which can lead to severe consequences such as deaths and injuries, material damage, environmental pollution, and even disasters. Risk analysis studies are carried out in order to prevent possible accidents at the ports and to determine the perils that may occur. When the studies in this field are examined, it is determined that different risk analysis methods are utilized. By using these analysis methods, the dangers sourced from ship manoeuvring that may occur within the port limits are tried to be analysed. The purpose of this study is to create a risk analysis model to be used in the ship manoeuvres and to determine which ships are suitable for manoeuvring in a port and under which environmental conditions ship can manoeuvre. Fuzzy Fine-Kinney method was chosen as the main risk analysis methodology for this study, which has not been used in the related literature. In the study, a full mission ship's bridge simulator was used in created scenarios by taking various environmental conditions into account and coming alongside manoeuvres were carried out by masters with a pre-determined ship on a pier at a port in Istanbul. After the end of each manoeuvre, surveys were filled out and assessments were made by masters that are considered experts in the maritime domain. According to results obtained from the risk analysis method applied in the study, it was determined which ships with which characteristics are suitable for manoeuvring and under which environmental conditions.

Application of a Novel Hybrid f-SC Risk Analysis Method in the Paint Industry

Occupational health and safety (OHS) activities aim to ensure the full mental and physical well-being of employees in the workplace. For this reason, it is essential to determine the precautions to be taken and the suitability of risk assessments. In this study, f-SC, a novel hybrid risk analysis method using Step-Wise Weight Assessment Ratio Analysis (SWARA) and Complex Proportional Assessment (COPRAS) multi-criteria decision making methods (MCDM) based on fuzzy logic, was developed to perform a classical Fine–Kinney risk analysis method. There are few studies in the literature about the Fine–Kinney method compared to other risk analysis methods such as FMEA and FTA. Therefore, this work aimed to integrate this classical method with the proposed method to obtain more accurate and sensitive results in risk analyses. First, the criteria used in determining the risk score were weighted with the help of 10 OHS experts. As the criteria used in the classical method are evaluated with equal importance, this situation can cause serious errors in the risk scores obtained with the relevant calculations and in the risk priorities based on these calculations. We aimed to minimize the occurrence of such errors by determining the weights of the criteria with the proposed method. f-SWARA was used for this process. The weights of probability, exposure, and severity criteria were obtained as 0.196, 0.285, and 0.518, respectively. Thus, it was determined that severity is an important and effective criterion for calculating the risk score. In the proposed method, after the criterion weights were determined, an analysis of the hazards was conducted with the f-COPRAS method instead of the classical Fine–Kinney method. Contrary to the numerical values used in the classical method, in this method, decision makers use linguistic terms that are more intuitive than numerical values. These linguistic terms were converted into numerical values using this method based on fuzzy logic, and a ranking of hazards was obtained. As a result of the analyses, it was seen that the case study, H7, which had a 0.557 Ni value, was the most dangerous scenario and that H11, which had a 1.000 Ni value, was the least dangerous. In addition, for the same data, analyses were conducted using the fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which has been previously used in the literature, and a comparison was made with the f-SC method to demonstrate the validity of the study. The results of the f-VIKOR and classical Fine–Kinney methods were similar to the developed f-SC method. This research provides three contributions: (1) criteria must be weighted to determine risk scores, (2) using intuitive linguistic terms in scoring criteria made the risk analysis method more sensitive and appropriate, and (3) using MCDM methods instead of classical methods for the risk analyses in the OHS field removes uncertainties.

Implementation of the analytic hierarchy process (AHP) and Fine–Kinney method (FKM) against risk factors to determine the total cost of occupational health and safety precautions in environmental research laboratories

A risk assessment method provides the definition of the risks that may be encountered in a laboratory. In order to take safety precautions regarding the in environmental research laboratories, risk assessment studies using Analytic Hierarchy Process (AHP) and Fine-Kinney Method (FKM) were carried out in this study. The environmental research laboratories were selected for the occupational health and safety assessment studies which analyze environmental samples such as wastewater, biological sludge, soil/sediment, and solid waste. Potential risks, accident rates and damages that may arise in an environmental research laboratory could be minimized with the occupational health and safety precautions decided to be taken in the light of this modeling study. Finally, the cost of the safety precautions to be taken on the basis of each risk was calculated according to the used models (AHP and FKM) in environmental research laboratories and determined approximately as 10,000.00 EUR in this study.

A case of risk assessment by using Fine-Kinney method in sub-leather processing

One of the most hazardous industries in the district of Bolu-Gerede of Turkey, leather-processing industry, takes an important place for the economy of the district and the country. The study was carried out in a medium-sized company operating in the leather processing sector in Bolu. Preventing the occurrence of industrial accidents and occupational diseases is one of points to be emphasized in terms of companies and laborers in the industry. Occupational health and safety are concepts that increasingly become more important in today’s societies. Awareness is raised and legal issues come to the fore regarding these concepts comprising a dimension of human health. Scientists are studying on occupational health and safety and looking for ways to prevent the accidents before they occur. In the study, Fine-Kinney risk analysis method has been applied in the sub-processes of a sample manufacturing company in the district; and the activities whose risk scores are very high after the study and high-risk activities have been handled in the first place; and it is observed that the risk-scores decreased after the regulatory and preventive practices. As for other activities, whose risk scores are lower, action plans were implemented. With this study, it is stated that the risk assessment is a proactive approach in occupational health and safety practices and the company's risk scores have been significantly reduced.

A New Approach to the Fine Kinney Method with AHP Based ELECTRE I and Math Model on Risk Assessment for Natural Disasters

Natural disasters impose enormous risks on human living and the environment. Researchers have given more attention to evaluating these risks in the context of disasters. Studies focus on the risk assessment of only one of the natural disasters for the regions. However, a risk assessment should be conducted that includes all-natural disasters for these regions. This risk assessment is dealt with by 8 different provinces in the Aegean region of Turkey in the work. A case data (1990-2020) on natural disasters such as earthquake, fire, landslide, flood, storm/typhoon has been considered for the cities covered. By revising the Fine Kinney risk assessment method for natural disasters, a risk score is obtained for each province. Then, the AHP based ELECTRE I method is applied to these provinces. As a result of this method, the riskiest region is obtained. The location of a crisis center in the riskiest region obtained should ensure effective solutions to the regions which are affected by the results of the disasters. Thus, the problem of choosing the most suitable location in the crisis center is handled with a goal programming approach.

Evaluation of Occupational Health and Safety Risks in Hotel Businesses with Fine-Kinney Method

Turizm sektörü içerisinde yer alan otel işletmelerinin önemi gelişmekte olan ülkelerde giderek artmaktadır. Otel işletmeleri, küresel ekonomik kriz sırasında bile gelişmektedir ve istihdam yaratmaktadır. Otel işletmelerinin sayılarının artması ile beraber, istihdamın ve bu alanda rekabetin artması, çalışanların bu sektör içinde karşı karşıya kalacakları risk ve tehlikeleri de arttırmıştır. Bu nedenle iş kazaları ve meslek hastalıkları açısından otel işletmelerini değerlendirmek önemlidir. Bu çalışma, otel işletmelerindeki iş sağlığı ve güvenliğinin durumunu anlamak, iş sağlığı ve güvenliği risklerini belirlemek ve otel işletmelerinde acil durum önlemlerinin ne ölçüde uygulandığını incelemek amacıyla Elazığ’da bulunan dört yıldızlı turistik bir otel işletmesinde yapılmıştır. Çalışmada, Fine-Kinney yöntemi kullanılarak, iş yerinin iş sağlığı ve güvenliğinin risk analizi ve değerlendirmesi yapılmıştır. Risk değerlendirmesi sonucunda otelcilikte toplam 52 risk tespit edilmiş, bu risklerin ortadan kaldırılması yahut kabul edilebilir seviyelere indirgenmesi için bazı önerilerde bulunulmuştur.