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AGE AND GENDER BASED WORKLOAD CONSTRAINT FOR ASSEMBLY LINE WORKER ASSIGNMENT AND BALANCING PROBLEM IN A TEXTILE FIRM
(Univ Cincinnati Industrial Engineering, 2018) Efe, Burak; Kremer, Gul E. Okudan; Kurt, Mustafa
This paper investigates Assembly Line Worker Assignment and Balancing Problem (ALWABP), focusing specifically on productive workload differences due to age and gender of workers, to minimize the number of workstations. Most of the published papers on assembly line balancing problems (ALBP) are focused only on the task processing times. However, this may cause an overload in work assignments for certain workers. A work-overload may cause fatigue and thus lead to a decrease in line efficiency and factory productivity, and also result in an increase in quality problems and work-related injuries. To avoid the negative implications of work-overload conditions, this paper assigns tasks among workstations without exceeding the cycle time or the age and gender-adjusted physical workload capacity (PWLC). We propose a regression model to determine age and gender-based PWLC. Six different age categories are analyzed to show the impacts of age and gender on PWLC. We propose a binary (0-1) integer linear programming (BILP) for ALWABP, where age and gender-adjusted PWLC is considered. The efficiency of the model is shown on test problems and a real-life application in a textile firm. An ALWABP is considered taking into account the processing times and physical workloads for a textile factory assembly line of 53 tasks. The numbers of stations for ALWABP without and with the physical workload in the textile firm assembly line case are 5 and 6, respectively. All workstations are balanced in terms of physical workload and processing times. The results show that advancing average age increases the number of stations (NS), and this situation triggers a reduction in line efficiency (LE) and PWLC utilization ratio.
Analysis of operational safety risks in shipbuilding using failure mode and effect analysis approach
(Pergamon-Elsevier Science Ltd, 2019) Efe, Burak
This paper contributes to improving the limitations of traditional failure mode and effect analysis. This paper proposes a novel risk assessment approach using intuitionistic fuzzy numbers based quality function deployment (QFD) and VIKOR (Vlsekriterijumska optimizacija i KOm-promisno Resenje) approach. QFD approach based on intuitionistic fuzzy numbers handles the correlation among design requirements (DRs), correlation among customer requirements (CRs), relationship between CRs and DRs for each criterion occurrence, severity, and detection. Intuitionistic fuzzy numbers ensure an advantage to present more accurate and easier the judgments of the experts. This paper examines occupational accidents related failure modes in shipbuilding so that occupational accidents and failure modes mean CRs and DRs, respectively. QFD approach introduces an advantage to handle the relation between occupational accidents and failure modes. QFD approach defines the weights of DRs for each criterion. The weights of occurrence, severity, and detection are determined by using intuitionistic fuzzy numbers to the judgments of experts. These weights are integrated in VIKOR approach based on intuitionistic fuzzy numbers. The result of VIKOR approach presents the ranking of the occupational accidents related failure modes in shipbuilding. The highest risky failure mode in shipbuilding is defined as the lack of nets on ship scaffolds.
An Application of Value Analysis for Lean Healthcare Management in an Emergency Department
(Atlantis Press, 2016) Efe, Burak; Efe, Omer Faruk
This paper investigated the value concept of lean management to improve the performance of an emergency department (ED). This paper aims to analyze on patient perceived value (PPV) to apply lean management principles in the ED. The DEMATEL (Decision Making Trial and Evaluation Laboratory) method has been suggested to specify the influence degrees of these values in ED. The results show that the availability of equipment value has remarkable influence on the other values.
A decision support model based on q-rung orthopair fuzzy number for glove design application
(Springer London Ltd, 2022) Efe, Omer Faruk; Efe, Burak
Quality function deployment (QFD) method allows reviewing of customer requirements (CRs) and design requirements (DRs) simultaneously in order to handle the correlations and relationships of CRs and DRs in calculations. It has been often combined with fuzzy numbers because it provides to gather the judgments of experts in vagueness environment more correctly and easily. This paper suggests employing q-rung orthopair fuzzy number (q-ROFN) for improving the fuzzy QFD approach. The proposed q-ROFN based QFD method uses q-ROFN to adjust the weights of CRs based the relationships between CRs and DRs with the help of the correlations and relationships of CRs and DRs. q-ROFN presents more information than numbers such as intuitionistic fuzzy number and Pythagorean fuzzy number about the correlations and relationships of CRs and DRs. VIKOR (VIsekriterijumska optimizacija i KOm-promisno Resenje) approach based on q-ROFN is also used to rank DRs. The new proposed integrated method has been applied for evaluating the anthropometry based glove design. The results show that the most important DR for anthropometry based glove design is ease of hand motion perception.
Ergonomik ürün tasarımına bütünleşik bir yaklaşım
(2018) Efe, Burak; Efe, Ömer Faruk; Kurt, Mustafa
Günümüzde teknoloji hızlı gelişmekte ve müşterilerin ürünlerden beklentileri artmaktadır. Bu nedenle müşteriisteklerinin ön plana çıkması ve sürekli değişmesi ürün tasarımını geçmişe göre daha önemli kılmaktadır. Yaygınolarak kullanılan çamaşır makinesini üreten firmalar pazar payına sahip olabilmeleri için müşteri isteklerini gözönünde bulundurmak zorundadır. Müşteri isteklerinden birisi de ergonomik kullanım kolaylığıdır. Bu çalışmadaergonomik bir çamaşır makinesi tasarımında müşteri isteklerine ve firma kapasitesine göre teknik özellikler üzerindeiyileştirme yapılması amaçlanmıştır. Bu çalışmada kalite fonksiyon yayılımı yöntemi ve bulanık çok amaçlı doğrusalprogramlama yaklaşımı ergonomik çamaşır makinesi tasarımı için önerilmiştir. Kalite fonksiyon yayılımı müşteriistekleri ve teknik özellikler arasındaki ilişkiyi belirleyebilmektedir. Bu sonuçlara göre ergonomik bir çamaşırmakinesi tasarımı için hangi teknik özelliğin daha önemli olduğu belirlenmiştir. Ancak bu sonuç sadece müşteriisteklerine göre belirlenmiştir. Firma kapasitesi ihmal edildiği için firmanın zaman ve maliyet açısından problemlerlekarşılaşması ve pazar rekabetinde geri kalması söz konusudur. Firma ergonomik bir çamaşır makinesi tasarlarkenmüşteri isteklerinin maksimize edilmesi, maliyetin düşürülmesi, zamanın minimize edilmesi gibi farklı amaçlarasahiptir. Bu çalışma bu problemi ortadan kaldırmak için müşteri istekleri ve firma kapasitesini birlikte inceleyenZimmermann ve hibrid yaklaşım olmak üzere iki bulanık çok amaçlı doğrusal programlama yaklaşımını önermiş veelde edilen sonuçları karşılaştırmıştır.
Fine-Kinney method based on fuzzy logic for natural gas pipeline project risk assessment
(Springer, 2023) Efe, Burak; Efe, oemer Faruk
Quality function deployment (QFD) method allows reviewing of customer requirements (CRs) and design requirements (DRs) simultaneously in order to handle the correlations and relationships of CRs and DRs in calculations. It has been often combined with fuzzy numbers, because it provides to gather the judgments of experts in vagueness environment more correctly and easily. This paper suggests employing q-rung orthopair fuzzy number (q-ROFN) for improving the fuzzy QFD approach. The proposed q-ROFN based QFD method uses q-ROFN to adjust the importance degrees of CRs based the relationships between CRs and DRs with the help of the correlations and relationships of CRs and DRs. q-ROFN presents more information than numbers such as intuitionistic fuzzy number and Pythagorean fuzzy number about the correlations and relationships of CRs and DRs. Furthermore, this work proposes integrating Fine-Kinney method and QFD method to cope with limitations of Fine-Kinney method. VIKOR (VIsekriterijumska optimizacija i KOm-promisno Resenje) approach based on q-ROFN is also used to rank DRs. The proposed integrated method provides a novel decision support model for the natural gas pipeline project (NGPP) risk assessment. There is no study about the integration of Fine-Kinney, q-ROFN-based QFD, VIKOR methods. The most significant DR and the second most important DR for NGPP risk assessment are electrical sparks and coating type factor, respectively. The results of this model present a road map to the managers of NGPP for an occupational health and safety policy by ordering the failure modes.
Fuzzy cognitive map based quality function deployment approach for dishwasher machine selection
(Elsevier, 2019) Efe, Burak
The traditional quality function deployment (QFD) approach deals with the weights of customer requirements (CRs), relationships among CRs and design requirements (DRs), correlation among DRs by using crisp values. This paper uses fuzzy numbers to improve the drawbacks of the traditional QFD method because fuzzy numbers enable to make consistent decisions in uncertain environment to decision makers. The existing papers handle a simple multiplication operation to calculate the correlation among CRs and the correlation among DRs. This study proposes fuzzy cognitive map (FCM) approach to calculate these correlations so that FCM is a successful method to handle the interactions among criteria. This paper contributes to the literature by integrating QFD approach and fuzzy cognitive map approach. The weights of DRs are defined in the result of the proposed QFD approach. These weights are used to evaluate the dishwasher machine alternatives in intuitionistic fuzzy VIKOR method. Intuitionistic fuzzy number (IFS) ensures to handle more information than type-1 fuzzy number to describe the fuzziness and the uncertainty of the real life world. Finally, the proposed approach has been implemented to a dishwasher machine selection in order to test its validity. (C) 2019 Elsevier B.V. All rights reserved.
A GIS-based FAHP and FEDAS analysis framework for suitable site selection of a hybrid offshore wind and solar power plant
(Elsevier, 2023) Karipoglu, Fatih; Ozturk, Samet; Efe, Burak
This study presents a Geographic Information System (GIS) based suitable site selection methodology for a hybrid system that includes offshore wind and solar PV. The methodology utilizes open source databases about decision criteria and applies this data using GIS to determine suitable sites for offshore wind and solar PV systems. For the assessment of multi-criteria which affect the potential hybrid energy power plants and the determination of the best suitable areas, Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Evaluation based on Distance Average Solution (FEDAS) are used in the study. Results show that technical criteria has the priority weight of 0.60 while the weight of social criteria is about 0.07. Among sub-criteria, the wind speed has the highest priority weight while distance to port and visibility are the highest criteria of priority weight under economic and social main criteria, respectively. Among the alternatives, Area 2 (A-2) is determined as the best alternative for hybrid offshore power plants in the study area. This proposed methodology can be utilized by decision-makers to determine the best suitable locations for hybrid offshore wind and solar PV systems at any location. This paper suggests a new approach integrating GIS, fuzzy setbased AHP and EDAS as a novelty.
Hazard analysis using a Bayesian network and linear programming
(Taylor & Francis Ltd, 2020) Efe, Burak; Kurt, Mustafa; Efe, Omer Faruk
In order to make a system safer, it is necessary to determine which hazard should be removed by considering the interactions of all hazards in the process. In this study, the influence of the hazards related to iron works in a construction firm is examined by Bayesian network approach. If only the most important hazard is identified and removed from the work environment, it may be erroneous to comment on the levels of the remaining hazards. A Bayesian network is proposed to remove this problem. If there is more time and budget than planned for a process, these capacities will have to be reduced in other processes. Linear programming is proposed to remove this problem. A strong decision support system has been established by combining a Bayesian network and linear programming. A construction firm application has been demonstrated using the proposed method.
An integrated fuzzy multi criteria group decision making approach for ERP system selection
(Elsevier, 2016) Efe, Burak
This paper aims to ease group decision-making by using an integration of fuzzy AHP (analytic hierarchy process) and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) and its application to software selection of an electronic firm. Firstly, priority values of criteria in software selection problem have been determined by using fuzzy extension of AHP method. Fuzzy extension of AHP is suggested in this paper because of little computation time and much simpler than other fuzzy AHP procedures. Then, the result of the fuzzy TOPSIS model can be employed to define the most appropriate alternative with regard to this firm's goals in uncertain environment. Fuzzy numbers are presented in all phases in order to overcome any vagueness in decision making process. The final decision depends on the degree of importance of each decision maker so that wrong degree of importance causes the mistaken result. The researchers generally determine the degrees of importance of each decision maker according to special characteristics of each decision maker as subjectivity. In order to overcome this subjectivity in this paper, the judgments of decision makers are degraded to unique decision by using an attribute based aggregation technique. There is no study about software selection using integrated fuzzy AHP-fuzzy TOPSIS approach with group decision-making based on an attribute based aggregation technique. The results of the proposed approach and the other approaches are compared. Results indicate that our methodology allows decreasing the uncertainty and the information loss in group decision making and thus, ensures a robust solution to the firm. (C) 2015 Elsevier B.V. All rights reserved.
An integrated intuitionistic fuzzy set and mathematical programming approach for an occupational health and safety policy
(Gazi Univ, 2017) Efe, Burak; Kurt, Mustafa; Efe, Omer Faruk
This paper aims to establish an occupational health and safety policy for three firms. This paper provides to overcome the drawbacks of traditional FMEA (failure mode and effects analysis) by using an integrated intuitionistic fuzzy multi-criteria decision making method and a linear programming. Priority value of criteria has been defined by utilizing intuitionistic fuzzy analytic hierarchy process method and the highest risky failure mode among failure modes has been found by utilizing intuitionistic fuzzy VIKOR (VIsekriterijumska optimizacija i KOm-promisno Resenje). The application of risk evaluation is conducted to show the effectiveness of the proposed method in three firms. The reliability of the risk ranking is verified by helping of a sensitivity analysis and the advantages of the proposed approach are shown by comparing with the other methods. The managers of the firm present some limitations for the occupational health and safety policy so that these constraints are solved by helping of a linear programming. The results show that destroying of the existing steel ropes during production of plaster, risks that caused from work equipment and electric shock during cutting were determined the highest risky failure modes for construction, textile and metal firms, respectively.
A Logistics Model Suggestion for A Logistics Center to Be Established: An Application in Aegean and Central Anatolia Region
(Gazi Univ, 2022) Yildiz, Kursat; Tabak, Caglar; Yerlikaya, Mehmet Akif; Efe, Burak
The fact that the transport costs directly affect the countries' economies all around the world and that the transport costs increase depending on the energy resources steered the countries into developing combined transport strategies that will decrease the transport costs. In this study, an assessment is made for the selection of locations of the logistics centers which will contribute to decreasing the transport costs, develop logistics sector strategies in Turkey, and thereby enable to identify the strategies for the fastest, safest, and the most economic transport utilizing integration of modes of transport with each other. Nonetheless, an integrated logistics model which includes freight capacity and selection of the optimum location is proposed for the efficient and useful logistics center. In this logistics model, a freight model, which is a criterion for optimal location selection, has been obtained by using regression analysis. According to this freight model, freight carrying capacity is determined for each alternative region. Optimum location selection has been made utilizing AHP (Analytic Hierarchy Process)-VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method. We aim to contribute to the literature by making systematically estimating variable carrying capacities and by being decisive in the logistics center location selection. The proposed logistics model has been applied for a logistics center to be established, and effective and valid results have been obtained.
Mobile phone selection based on a novel quality function deployment approach
(Springer, 2020) Efe, Burak; Yerlikaya, Mehmet Akif; Efe, Omer Faruk
Fuzzy quality function deployment (QFD) approach has been extensively implemented to transform customer requirements (CRs) into products or services because fuzzy numbers provide to obtain more accurately the judgments of experts in vagueness environment. This study proposes to use interval type-2 fuzzy (IT2F) numbers in the improving of fuzzy QFD method. The developed IT2F number-based QFD approach utilizes IT2F sets to define the correlations among CRs; the relations between CRs and design requirements (DRs); the correlations among DRs; the weights of DRs. There is no paper about integrating QFD approach and IT2F set in the literature. IT2F numbers include more accurately the judgments of the experts to express the vagueness of the applications. In addition, TOPSIS (technique for order performance by similarity to ideal solution) approach based on interval type-2 trapezoidal fuzzy (IT2TrF) is utilized to select the best mobile phone. Finally, mobile phone selection implementation is handled to indicate the efficiency of the proposed method.
A model proposal to examine the effects of ships to marine pollution in terms of internal and external factors
(Springer, 2022) Efe, Burak; Efe, Omer Faruk; Ishizaka, Alessio
Marine pollution is an important environmental problem. One of the important causes of marine pollution is ship origin. This study deals with defining the importance degrees of ship origin marine pollution criteria. This paper suggests employing quality function deployment (QFD), interval type-2 fuzzy (IT2F) numbers, TOPSIS (technique for order performance by similarity to ideal solution) and SWOT analysis to determine these importance degrees. Internal factors, which indicate the strengths and weaknesses of the SWOT analysis in this paper, are the infrastructure of the sea to prevent pollution. External factors, which indicate the opportunities and threats of the SWOT analysis in this paper, are ship-related activities that cause pollution of the relevant sea. Five CRs and fourteen DRs are handled to examine ship origin marine pollution. Three experts have presented their judgments about the correlations and relationships of design requirements (DRs) and customer requirements (CRs). The proposed IT2F number-based QFD method uses IT2F numbers to determine the weights of DRs with the help of the correlations and relationships of the DRs and CRs. The most important internal factors are complying with the law and hard supervision, respectively. The most important external factors are direct discharge of waters of tank washing, direct discharge of ballast waters of ships and direct discharge of bilge waters of ships, respectively. Four seas are ranked in terms of ship origin marine pollution by using TOPSIS approach based on IT2F number. The most polluted sea exposed to ship origin marine pollution is Sea of Marmara according to the obtained results.
A novel approach recommendation for hazard analysis
(Taylor & Francis Ltd, 2021) Efe, Burak; Kurt, Mustafa
Hazard evaluation generally defines the ranking of hazards in the work environment and ignores the interaction of hazards. This article aims to overcome this drawback using a fuzzy cognitive map (FCM) approach to analyze the interaction of hazards related to sheathing tasks in a construction firm. The FCM approach can be insufficient for hazard evaluation over the long term due to certain budget and time restrictions allocated by the firm. When the firm allocates more time and budget for a process, the firm must limit the allocated time and budget for the other processes. This article aims to overcome this problem so linear programming is used to optimize the goal and resources of the firm. The article contributes to hazard evaluation of sheathing tasks in a construction firm considering the interaction of the hazards and the capacity of the firm.
Quality function deployment based failure mode and effect analysis approach for risk evaluation
(Springer London Ltd, 2021) Efe, Burak; Efe, Omer Faruk
The traditional failure mode and effect analysis (FMEA) aims to define the risk priority number of each failure mode by multiplying occurrence, severity and detection parameters of each failure mode. Many studies in the literature commented the traditional FMEA due to its limitations such as equal importance degrees, discrete ordinal scales and multiplication of O, S and D criteria. This study suggests coping with these drawbacks a new method, which combines the quality function deployment (QFD) method under interval type-2 fuzzy set, Bayesian network and VIKOR method. The previous studies generally handle to rank the failure modes as only goal. This paper investigates concurrently the failure modes and the reasons of failure modes. QFD method provides us this benefit by employing customer requirements (CRs) and design requirements (DRs). CRs are the reasons of failure modes while DRs are failure modes. This study presents a new perspective to examine the correlations of CRs and DRs as linguistic terms by using Bayesian network. The VIKOR method deals with ranking the failure modes by aggregating the weights of O, S and D criteria. The developed method is utilized for risk evaluation of tile and marble works in building construction. The result shows that the most significant design requirement or failure mode is DR14 (unsuitable plug-socket utilization).
A systematic approach for an application of personnel selection in assembly line balancing problem
(Wiley, 2018) Efe, Burak; Kurt, Mustafa
This paper aims to present a novel systematic approach to personnel selection. The contributions of this paper are on the multicriteria decision-making problem and the assembly line balancing problem related to personnel selection. This paper presents a novel method, which is the possibility degree based TOPSIS (technique for order preference by similarity to ideal solution) method with interval type-2 trapezoidal fuzzy (IT2TrF) numbers, as an extension of the TOPSIS method for the personnel selection problem. This paper presents the possibility mean value and possibility degree measures instead of distance measures in current TOPSIS to define a comparative index. The closeness coefficient based on the possibility degree of each alternative is calculated according to the approximate positive and negative ideal solutions. The subjective judgments of the decision makers are aggregated to calculate the weights of the criteria. The weights based on the IT2TrF number are input into IT2TrF number based the TOPSIS phase to rank the alternatives. The proposed method is applied to evaluate the personnel selection in an assembly line of a textile firm after the closeness coefficient of each personnel is determined.

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