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Öğe A mathematical programming model for facility location optimization of hydrogen production from renewable energy sources(Taylor & Francis Inc, 2022) Derse, Onur; Gocmen, Elifcan; Yilmaz, Ebru; Erol, RizvanFossil fuels are the primary energy sources and meet the global energy demands. However, environmental and health problems related with these sources boosted the demand for renewable energy sources. Hydrogen, as an energy carrier has a growing potential for solving these problems. In this article, a mathematical programming model that integrates the production, storage and transportation, safety, location, and staff assignment decisions is presented considering minimization of costs. Although most of the studies focus on location, distribution, storage decisions of hydrogen energy networks, the article also includes production, safety and staff assignment decisions to make this problem more practical. Furthermore, we also investigate the set covering constraint will ensure that each region is covered by minimum number of the hydrogen facilities. The developed model ensures a balance between location, distribution, storage, production, safety and staff decisions by installing two production facilities by assigning total 9 warehouses, 22 tank trucks, 12100 km pipeline, 35 staffs under distance constraint 2000 km in regions 1 and 5. The computational results indicate that the proposed model produces effective solutions for the coverage to all region and minimum total cost for real-case situations.Öğe A New Approach to the Fine Kinney Method with AHP Based ELECTRE I and Math Model on Risk Assessment for Natural Disasters(Istanbul Univ, Fac Letters, Dept Geography, 2021) Derse, OnurNatural 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.Öğe A new fuzzy approach in risk assessment with process capability for air pollution(Taylor & Francis Inc, 2023) Oturakci, Murat; Dagsuyu, Cansu; Derse, OnurToday, the reasons such as the development of technology and industry, the increase in the population and the number of vehicles cause air pollution to increase constantly. Many different components cause air pollution, and increased air pollution poses serious risks to both human health (respiratory distress, eye diseases, physical distress, cancer, etc.) and nature (acid rains). In this study, a new risk analysis approach has been applied for the risks that may occur by considering the component data of SO2, NO2, CO, O-3, and PM(10)causing air pollution from the measurement stations in Ankara, the capital city of Turkey. In this new approach, the integrated risk analysis (RPN with Cp) method has been developed by calculating the Cp values that take into account the spread for the parameter values of the stations. According to the risk assessment results, the most critical hazards were revealed for each component and a fuzzy model was established based on these hazards. With the fuzzy model, risk scores in different ranges are evaluated in a single range and the critical levels of the measurement stations are ranked. According to the results of the study, two of the seven stations are medium-high; two are medium; two of them are medium-low and the remaining one station is placed in the low category. Since the low category is considered as an acceptable risk class in risk analyzes, stations in the medium-high and medium class, which make up 57% of the stations, can be considered critical.Öğe A Tabu Search Algorithm for an Excavator Scheduling Problem(Umut SARAY, 2020) Göçmen, Elifcan; Derse, OnurGlobal sector prompts the construction firms to give a priority to time and cost factors. Thus, scheduling of the jobs is focal important to achieve cost and time objectives. Scheduling problems have gained a great importance in recent years in the construction sector. We have examined a single machine scheduling problem for an excavator used in the construction sector. There are some jobs in which each job has a normal processing time, a due date, earliness penalty and tardiness penalty. This paper presents a meta-heuristic optimization algorithm named Tabu Search (TS) to minimize the total cost and provides how it can be used to solve a wide variety of single machine scheduling problems. Computational results demonstrates that the proposed approach is a good tool for these problems.Öğe An Optimization Approach for A Biogas Supply Chain using Goal Programming and Mixed Integer Linear Programming(2023) Derse, Onur; Göçmen, ElifcanEnvironmental concerns prompt the world for a transition to renewable energy sources from fossil energy. Reducing the dependency on non-renewable sources of energy is prerequisite for the sustainable world and less environmental pollution. Biogas energy, which is one of the most important renewable energy sources, is produced by burning organic wastes and can be used in many different fields. In this study, a two-stage approach is undertaken to optimize a biogas supply chain design by incorporating of 30 districts in Izmir. In the first stage, the selection of the most suitable biogas plants is considered by the goal programming approach, which is of great importance to decide the optimal location with high energy potential. The most suitable sites for the biogas plants are obtained as Konak and Narlıdere districts. In the second stage, the location problem of the biogas vehicle charging stations (BVS) for biogas vehicles is handled considering the results of the first stage using mixed integer linear programming (MILP) approach. Computational results demonstrate that it would be more appropriate to establish BVS in 12 districts of İzmir. The model and solution approach are pioneering for supply chain problems and an efficient tool for renewable energy plans.Öğe Application Of Integrated FTA And 5x5 Matrix for the Comprehensive Risk Evaluation of a Project-Based Enterprise(Harran Üniversitesi, 2021) Derse, Onur; Polat, Elifcan GöçmenRisk management play an important role on preventing failures of any enterprise as it ensures an effective planning and control. Not managing such failures including political, geographical, project, environmental, monetary, human, supply chain risks of the enterprises cause irreparable results. Therefore, there is a need for a comprehensive risk assessment approach regarding qualitative and quantitative risk factors. This paper tackles this need and Fishbone Diagram (FD) as a qualitative method and integrated 5x5 Matrix and Fault Tree Analysis (FTA) methods are used as quantitative methods. The root causes of the risks are examined by taking a project-based enterprise into consideration and evaluated by applying an integrated risk analysis method. Taking into account the risk analysis results obtained, measures are recommended. An improvement of approximately 24% has been achieved as a result of the application of measures. The efficiency of the proposed methods is illustrated in the real world data of a project-based pipeline manufacturing system and the obtained results demonstrate that practitioners and researchers can easily use these methods to prevent the risks.Öğe ASSESSMENT OF URBAN FLOOD RISKS OF THE CITIES USING ENTROPY-VIKOR METHODS IN TURKIYE(Konya Teknik Univ, 2024) Derse, Onur; Polat, Elifcan GocmenIn recent years, there is growing interest for evaluation of urban flood risks of cities over the past decade due to rapid urbanization and climate change. The optimal flood risk assessment is strategically achieved not only with classical risk modelling approaches but also with holistic and comprehensive framework. This paper focuses on a detailed flood assessment providing risk database for policymakers and urban planners to decide the flood prone areas in Turkey. In this context, the Entropy based VIKOR (VIseKriterijumska Optimizacija Kompromisno Resenje) was provided to evaluate a range of flood risk criteria named number of floods, population density and number of buildings, flood protection area which are under the concept of risk dimension including hazard, exposure and vulnerability aspects. Computational results demonstrate that the provinces of & Scedil;anl & imath;urfa, Ordu, Zonguldak and Van are assigned with higher urban risk values, respectively and the ranking of the cities was presented with different q values. The findings should support practitioners and researchers for land use planning and risk reduction works as the detailed flood risk evaluation was presented in terms of the flood management.Öğe Çeşitli Makine Kısıtlarını İçeren Optimum Hücre Tasarım Problemi için Matematik Programlama Modeli(2020) Derse, Onur; Yılmaz, EbruHücresel üretim sistemleri, firmaların sürekli gelişen teknolojiye ve rekabete adaptasyon sağlayabilmesi amacıyla kullanılanve benzer işlemlerin benzer ortamlarda üretilmesi esasına dayalı olan sistemlerdir. Hücresel üretim sistemlerinin etkin birşekilde kurulması ve tasarlanması ile işlemlerin daha hızlı ve daha az maliyetle gerçekleşmesi sağlanabilmektedir. Buçalışmada, kalemleri, üretim maliyeti, makinelerin hazırlık maliyeti, makinelerin bakım maliyeti ve personel maliyeti olan enuygun toplam tasarım maliyetini hedefleyen bir matematik programlama modeli oluşturulmaktadır. Bu modelde, makinelerinkapasiteleri, hücreyi oluşturmak için gerekli olan en az makine sayısı, her makine türünün en fazla atanabileceği hücre sayısı,parçaların en az kaç makinede işlem görebileceği, parçaların en fazla kaç makinede işlem görebileceği ve parçaların hangimakinelerde işlem göremeyeceği gibi çeşitli kısıtlar dikkate alınmaktadır. Önerilen bu model, geliştirilen beş farklı parçadanve dokuz farklı olmak üzere toplamda on bir makineden oluşan bir örnek problem üzerinde uygulanmaktadır. Bu probleminçözümünde GAMS optimizasyon programı kullanılmış olup bir saniyeden daha kısa bir sürede toplam tasarım maliyetini enküçükleyen hücre tasarımı sonuçları ortaya çıkmaktadır.Öğe CO2 capture, utilization, and storage (CCUS) storage site selection using DEMATEL-based Grey Relational Analysis and evaluation of carbon emissions with the ARIMA method(Springer Heidelberg, 2023) Derse, OnurVarious systems are increasing gradually to reduce environmental concerns carbon capture, use, and storage (CCUS) systems are one of the most preferred processes in this context. Special areas such as depleted oil and gas reservoirs, aquifer reservoirs, and salt cave reservoirs are required needed to use this technology and, considering various criteria to decide on these areas is necessary. In this study, the problem of choosing the most suitable CCUS site selection for Turkey is discussed. In the study, for the alternative areas (Adiyaman, Aksaray, Diyarbakir, Afyon, and Tekirdag) determined, 11 sub-assessment criteria (cost, CO2 state, regional risk, infrastructure availability, reservoir permeability, storage capacity, thickness reservoir, porosity, transportation availability, sustainability, facilities in operation by application) were discussed under CCUS main criterias (carbon capture, carbon storage, and carbon use). The DEMATEL method was used for the weights of the evaluation criteria. Unweighted gray relational analysis (GRA) method and DEMATEL-based GRA method were used to rank the alternatives. According to unweighted GRA results, Aksaray, Adiyaman, Afyon, Tekirdag, and Diyarbakir decisions are obtained, respectively. According to the weighted GRA results, Aksaray, Adiyaman, Tekirdag, Afyon, and Diyarbakir decisions are obtained, respectively. Calculation results demonstrated that Aksaray region is the most suitable alternative CCUS area for both methods. The CO amount values for the next period were estimated for this area and evaluated with the auto-regressive integrated moving average (ARIMA) method by the Minitab. By considering 1013 days of CO data, according to the MA(1) model estimation results were obtained values between 410.899 (mu g/m(3)) and 459.909 (mu g/m(3)). With the installation of the CCUS facility, this value could be checked again by examining it. The use of real data in the study increases the effectiveness of the proposed approach.Öğe DEMATEL TABANLI TOPSIS YÖNTEMİ VE KÜME KAPSAMA MODELİ İLE AFET LOJİSTİĞİ İÇİN DEPO YERİ SEÇİMİ: EGE BÖLGESİ ÖRNEĞİ(2022) Derse, OnurÇalışmada afet lojistiği kapsamında uygun depo yeri/yerleri belirlemek için iki aşamalı bir yöntem kullanılmaktadır. Çalışmanın ilk aşamasında Çok Kriterli Karar Verme yöntemlerinden DEMATEL yöntemi değerlendirme kriterlerini derecelendirmek için kullanılırken TOPSIS yöntemi DEMATEL yöntemi ile entegre olarak alternatif alanları değerlendirmek için kullanılmaktadır. Çalışmada Ege Bölgesi'ni afet lojistiğinde kapsamak için depo yerleri alternatif alanlar olarak değerlendirilmektedir. Çalışmanın ikinci aşamasında DEMATEL tabanlı TOPSIS yöntemi ile entegre olarak Küme Kapsama modeli geliştirilmektedir. Geliştirilen Küme Kapsama Modeli sonucunda Ege Bölgesi’ni kapsamak için afet lojistiği kapsamında depo alanlarının kurulması gereken iller Denizli, Muğla ve Balıkesir olarak elde edilmektedir. Çalışmada tüm bölgeyi kapsayacak kurulum kararlarının verilmesi ile gelecekte meydana gelebilecek afet olaylarına müdahalenin hızlandırılmasının sağlanacağı, artan doğal afetler ve buna bağlı olarak artan can kayıplarının azalacağı düşünülmektedir.Öğe Evaluation of Smart City Determinants by the Fuzzy DEMATEL Method(Umut SARAY, 2024) Derse, OnurStudies on smart cities are increasing rapidly today. Smart cities are structures that offer solutions to urban challenges with technological, sustainable, economic, and social approaches and focus on creating a more livable environment. In this study, first of all, the main components of smart cities were examined, and then these main components were evaluated. Smart Governance, Smart Transportation and Mobility, Smart People, Smart Economy, Smart Energy, Smart Environment, and Smart Life are discussed as the main components of smart cities. The main determinants discussed aim to reveal the relationship of the components that affect and are affected by each other, and to reveal the degree of importance of each component. In the study, the Fuzzy DEMATEL method is used, considering the existence of uncertain and fuzzy situations for the components discussed. The effect graphs of the determinants examined by the fuzzy DEMATEL method were obtained and the factors for the development of smart cities were evaluated. When examined as a result of the study, it is obtained that the Smart Life, Smart Energy, Smart Economy, and Smart Governance criteria are in the group of influencing factors, and the Smart Environment, Smart Transportation and Mobility, and Smart People criteria are in the affected group. When the importance levels are examined, the criteria from high to low are listed as Smart Governance, Smart Life, Smart Energy, Smart People, Smart Economy, Smart Environment, and Smart Transportation and Mobility.Öğe Evaluation of sustainable energy action plan strategies with a SWOT/TWOS-based AHP/ANP approach: a case study(Springer, 2023) Yontar, Emel; Derse, OnurSustainable energy is an important and strategic issue to meet the needs of future generations. In order to ensure sustainable energy, action plans should be created and the steps to be taken should be prioritized. In this study, an integrated AHP/ANP methodology with SWOT Analysis TOWS Matrix is applied for strategic analysis. The study is carried out with the 31 participations of internal and external stakeholders for the Yenisehir region in Mersin province of Turkey. Firstly, SWOT Analysis is applied for the region, and then, it is developed with the TOWS matrix, which is the action tool for the items determined by the SWOT analysis. At this stage, 16 Sustainable Energy Action Plan strategies are determined. Finally, the weights for each strategy are calculated separately with the AHP method and the ANP method, and prioritized, and the importance levels of the strategies are determined. After both solutions, the first three strategies that are asked to be given priority in practice are found to be the same. Priority strategies in the study, increasing renewable energy applications in buildings depending on population density (SO1), reducing greenhouse gas emissions with waste management studies (WO5), and maximizing the energy efficiency potential to provide thermal insulation, create energy efficient systems in buildings (SO3) and emerge as priority strategies. The study is a guide for the first steps to be taken by the region for sustainable energy actions and is carried out effectively with integrated systems.Öğe Integrated People and Freight Transportation: A Literature Review(Mdpi, 2024) Derse, Onur; Van Woensel, TomIncreasing environmental and economic pressures have led to numerous innovations in the logistics sector, including integrated people and freight transport (IPFT). Despite growing attention from practitioners and researchers, IPFT lacks extensive research coverage. This study aims to bridge this gap by presenting a general framework and making several key contributions. It identifies, researches, and explains relevant terminologies, such as cargo hitching, freight on transit (FoT), urban co-modality, crowd-shipping (CS), occasional drivers (OD), crowdsourced delivery among friends, and share-a-ride, illustrating the interaction of IPFT with different systems like the sharing economy and co-modality. Furthermore, it classifies IPFT-related studies at strategic, tactical, and operational decision levels, detailing those that address uncertainty. The study also analyzes the opportunities and challenges associated with IPFT, highlighting social, economic, and environmental benefits and examining challenges from a PESTEL (political, economic, social, technological, environmental, and legal) perspective. Additionally, it discusses practical applications of IPFT and offers recommendations for future research and development, aiming to guide practitioners and researchers in addressing existing challenges and leveraging opportunities. This comprehensive framework aims to significantly advance the understanding and implementation of IPFT in the logistics sector.Öğe Integrated risk prioritization and action selection for cold chain(Springer Heidelberg, 2021) Dagsuyu, Cansu; Derse, Onur; Oturakci, MuratCold chain, which affects human health and quality of life, is applied for temperature-sensitive and perishable products. Any problems occurring in the cold chain can cause deterioration in products, causing poisoning, death, or various diseases. There are many stages in the cold chain itself and the risk significance level of each stage is different. Therefore, the risks that occur depending on the weight of the stages in the cold chain should be defined and minimized and action plans are needed to be formed. Every action in the action plan cannot be implemented simultaneously since each action requires a different amount of budget and time resources of the companies are finite. Hence, the risks occurring in the cold chain should be minimized with the maximum use of limited company resources. In this study, an integrated mathematical model with analytical hierarchy method and failure mode and effect analysis is proposed that will maximize the weighted risk reduction amount by considering the budget and time constraints of the companies at the same time. The proposed approach has been applied in the 3PL service provider and the results are discussed. According to the results of the study where maximum benefit is aimed with the actions taken against the dangers, the maximum objective function value was obtained at the second and third levels of the workforce and budget values by evaluating the different situations with scenario analyses. In this solution, it is foreseen that by taking 5 actions, improvement will be made in 14 hazards.Öğe Municipal Solid Waste Landfill Site Selection: Integrating Multi-Criteria Decision-Making Methods and Mathematical Modelling - A Case Study(Iğdır Üniversitesi, 2025) Derse, Onur; Polat, Elifcan GöçmenIncreasing solid waste amount arisen from the urbanization and population growth is an inevitable outcome in many countries. Solid waste has become one of the serious environmental problems and peculiar solid waste pathways are required to prevent contamination of environment. The optimal planning of the waste management should comprise the operations such as minimization, collection, landfilling and recycling of the waste. Also, location selection for landfill of municipal solid waste (MSW) is an effective step even essential, due to growing area shortage for waste disposal. In this respect, landfilling of MSW has been addressed in Tunceli, Turkey using an integrated approach. The Fuzzy Analytical Hierarchy Process (Fuzzy-AHP), a multi-criteria decision-making (MCDM) method, is utilized to decide the weights of the environmental, technical, economic, and social criteria regarding uncertainty. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is conducted to rank the alternative landfill districts. Finally, the sub locations of selected district are mathematical modelled regarding transport cost, investment cost and demand with an integer linear programming model. The computational results indicate the proposed method effectiveness with a systematic approach by integrating MCDM and mathematical modelling.Öğe Optimal site selection for wind energy: a case study(Taylor & Francis Inc, 2022) Derse, Onur; Yilmaz, EbruRenewable energy sources (RES) have gained attraction in recent years. The optimal site selection problem is one of the most important problems in the area of RES. In this study, the optimum site selection problem for wind energy, which is one of the RES types, is discussed. Eighty-one provinces in Turkey are evaluated using the Pareto diagram and the provinces with high potential wind energy are obtained. Long-term electricity consumption estimates are performed for the 13 provinces using ARIMA and Time Series Analysis methods. Also, in the article, an integrated optimum site selection problem in GAMS 23.5 software is modeled by the predicted future energy demand. As a result of the study, the total 41 installation decisions are made for the strategic optimal site selection decision between 2021 and 2025 years. Minimizing the total cost proposed as an objective function of the developed mathematical programming model, the total cost is found as 52526500 currency unit. It is seen that the decision to install the power plant is mostly made for Balikesir, canakkale and Izmir, and the number of plants for the provinces are 6, 6 and 5, respectively. The computational results show that the developed model produces effective solutions and minimizes the total cost by focusing on strategic optimal site decisions. According to the sensitivity analysis results, increasing the percentage of use in wind energy approximately 4-5% from 3.5% in total percentage will reduce the total cost by approximately 3.62%.Öğe Prioritization of Negative Carbon Strategies in the Cargo Industry with the SWARA/WASPAS Method(2023) Yontar, Emel; Derse, OnurThe ever-increasing consumption of fossil fuels with the increasing population in the world has brought along the obligation of countries to take some precautions. Determining the measures to be taken to prevent carbon emissions, turning these measures into a strategy and implementing them has become one of the important issues that concern almost every field. Reducing, neutralizing and turning negative carbon emissions significantly reduces the side effects of climate change. In this study, it is aimed to develop strategies within the scope of carbon negative by considering the cargo sector, which is one of the important fields of activity of the transportation sector, where the carbon emission rate is high. SWARA and WASPAS methods, which are among the Multi-Criteria Decision Making methods, are used in the evaluation phase of the strategies determined through the Delphi technique and literature review. Strategies are asked to be prioritized for the implementation of 16 determined strategies within the cargo sector, and “Using electric vehicles” ranked first in both methods. “Use of carbon capture, exploitation and storage technologies”, “Balancing greenhouse gas emissions”, “Existence of carbon tax to reduce carbon emissions” strategies have also been identified as other top priority strategies. It is thought that the strategies listed as a result of the study can help reduce our carbon footprint and help reach negative carbon by reducing CO2 levels in the atmosphere.Öğe Prioritizing solutions of green Reverse logistics barriers with Fuzzy DEMATEL - FUCOM - SWARA methods(Elsevier, 2024) Derse, OnurGreen Logistics (GL) and Reverse Logistics (RL) concepts are important for the sustainable development of logistics activities. Although the concept of RL seems to be a part of GL, it is not correct to consider all activities carried out within RL within the scope of GL and it is important to integrate these two concepts. To support the Sustainable Development Goals (SDGs), these two concepts are discussed in an integrated manner in this study. The main objectives of this study are to find barriers in the RL and GL concepts, to cluster barriers, and to present solution strategies. In this study, 21 barriers to GL and 28 barriers to RL are determined by a detailed literature review under the categories of Management & Organizational, Economic & Financial, Social, Technology & Infrastructure, Environment, and Legal. GL and RL barriers are clustered and 17 solution strategies are presented within the scope of Green Reverse Logistics (GRL) with the support of a literature review and expert opinion. Developed solution strategies are examined by the Fuzzy DEMATEL, FUCOM, and SWARA methods. The solution strategies are assessed, and their impact levels are ranked through the applied methods. As a result of the study, it is seen that the strategies that affect all strategies the most are Provision of financial, administrative, and infrastructure support and Increase of public awareness on environmental. In the results of the research, it is determined that the four most effective solution strategies are Increase of public awareness on environmental, Collaboration between functions & stakeholders, Provision of financial, administrative, and infrastructure support, and Benchmarking the practices. Such a detailed study has not been found, and it is thought that the study will lead to the development of a sustainable understanding in terms of both addressing GRL problems together and developing solution strategies. Implementing the strategies in the order determined as a result of the study will support the effective removal of barriers to GRL.Öğe Risk Analysis Application to Hazardous Material Transportation Modes(Sage Publications Inc, 2022) Derse, Onur; Oturakci, Murat; Dagsuyu, CansuHazardous material transportation is a significant issue in relation to both environment and humanity. In recent years, studies and attempts to minimize the risks of hazardous material transportation or selection of transportation mode to reduce potential hazards have increased. This study aims to evaluate the hazards arising from each stage of hazardous material transport modes and the risks arising from these hazards with an integrated approach simultaneously. Fault tree analysis (FTA) is used to evaluate hazardous material transportation modes with their stage components; probabilities of potential hazards are calculated for the risks arising from those hazards and evaluated with The Decision Making Trial and Evaluation Laboratory (DEMATEL) approach. Last, to determine the critical levels of transportation modes, calculated risk scores and parameters that affect those transportation modes, such as speed, cost, and capacity, are assessed with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and DEMATEL approach. Ultimately, critical levels of transportation modes are ranked as highway, marine and inland, airway, and railway.Öğe RISK ASSESSMENT USING A NOVEL HYBRID METHOD: A CASE STUDY AT THE BIOCHEMISTRY DEPARTMENT(2021) Narli, Mufide; Göçmen, Elifcan; Derse, OnurRisk management has gained substantial attention for the health sector in recent years. Healthcare systems are forced to deal with risk assessment due to deadly accidents. Biochemistry department is one of the most critical units, in which occupational accidents should be controlled preventively. Thus, this paper aims at developing a risk assessment process to minimize the occupational accidents. Failure mode and effects analysis (FMEA) and 5x5 matrix (L Matrix) as most effective quantitative risk analysis methods, are developed for a biochemistry department of a hospital in Turkey to evaluate the risk types discussed in related works and discovered during this work. First, the decision makers’ risk evaluation based on historical data of accidents are adopted to risk management process. Then, with regard to scoring of risk factors such as occurrence, severity and detectability, risk priority numbers and classes are obtained and preventive measures for the high-risk failure modes are determined. Analytic Hierarchy Process (AHP) method has been applied for prioritizing these measures to reduce or eliminate these risk types. Considering the results obtained from the AHP method, a goal programming model is developed to minimize the risk prevention costs. Obtained results demonstrate the effectiveness of the proposed methods.
