Browsing by Author "Sagnak, Muhittin"

Now showing 1 - 20 of 23

Citation - WoS: 9
Citation - Scopus: 19
A circular business cluster model for sustainable operations management
(TAYLOR & FRANCIS LTD, 2024) Erhan Ada; Muhittin Sagnak; Sachin Kumar Mangla; Yigit Kazancoglu; Ada, Erhan; Sagnak, Muhittin; Mangla, Sachin Kumar; Kazancoglu, Yigit
Ecological pollution scarcity of resources climate change and population growth have forced organisations to transform from a linear to a circular economy. Hence the need arises to redesign value chains and traditional business models. Thus the aim of this study is to develop a new conceptual eco-cluster model called 'Circular Business Cluster Model' to combine the advantages of both clustering and a circular economy. This paper seeks to establish a framework and provide guidelines for policy-makers such as governments local authorities and organised industrial zone administrators. The contribution of this paper is to highlight and emphasise the crucial role of circular economy principles to transform a classical business model into an eco-business model. Circular Business Cluster Model includes the conceptual framework network structure interactions between cluster components and 6R activities. A case study was conducted to check the applicability of the proposed Circular Business Cluster Model. Eleven centres in this model were evaluated. Fuzzy Best-Worst Method (BWM) was used to find the relative weights. Based on the Circular Business Cluster Model theoretical and managerial implications have been presented.
Citation - WoS: 24
Citation - Scopus: 27
A Framework for Evaluating Information Transparency in Supply Chains
(IGI GLOBAL, 2021) Erhan Ada; Muhittin Sagnak; Yigit Kazancoglu; Sunil Luthra; Anil Kumar; Luthra, Sunil; Kumar, Anil; Ada, Erhan; Sagnak, Muhittin; Kazancoglu, Yigit
Private public profit and non-profit organizations and society as a whole currently face a significant reliable information necessity problem. Especially supply chains need trustworthy information to perform their activities successfully. This study aims to propose a framework and identify how reliability of information can be evaluated and measured through the concept of transparency. In this context dimensions such as comprehensiveness regularity timeliness content scope and user-friendliness are the pillars of the proposed framework. Selected criteria have been used as inputs to develop the information transparency level. The fuzzy analytic network process (ANP) is used to obtain weights of these inputs and data envelopment analysis (DEA) is used for the determination of the efficiency ranking for transparency. Results demonstrated that content scope and comprehensiveness dimensions have 75% impact on the transparency of data. The remaining 25% is affected by timeliness regularity and user-friendliness.
Citation - WoS: 48
Citation - Scopus: 69
A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions
(Elsevier Inc., 2021) Yigit Kazancoglu; Muhittin Saǧnak; Sachin Kumar Kumar Mangla; Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Sezer, Muruvvet Deniz; Pala, Melisa Ozbiltekin; Kazancoglu, Yigit; Sagnak, Muhittin; Mangla, Sachin Kumar
This study determines the potential barriers to achieving circularity in dairy supply chains, it proposes a framework which covers big data driven solutions to deal with the suggested barriers. The main contribution of the study is to propose a framework by making ideal matching and ranking of big data solutions to barriers to circularity in dairy supply chains. This framework further offers a specific roadmap as a practical contribution while investigating companies with restricted resources. In this study the main barriers are classified as ‘economic’ ‘environmental’ ‘social and legal’ ‘technological’ ‘supply chain management’ and ‘strategic’ with twenty-seven sub-barriers. Various big data solutions such as machine learning optimization data mining cloud computing artificial neural network statistical techniques and social network analysis have been suggested. Big data solutions are matched with circularity focused barriers to show which solutions succeed in overcoming barriers. A hybrid decision framework based on the fuzzy ANP and the fuzzy VIKOR is developed to find the weights of the barriers and to rank the big data driven solutions. The results indicate that among the main barriers ‘economic’ was of the highest importance followed by ‘technological’ ‘environmental’ ‘strategic’ ‘supply chain management’ then ‘social and legal barrier’ in dairy supply chains. In order to overcome circularity focused barriers ‘optimization’ is determined to be the most important big data solution. The other solutions to overcoming proposed challenges are ‘data mining’ ‘machine learning’ ‘statistical techniques’ and ‘artificial neural network’ respectively. The suggested big data solutions will be useful for policy makers and managers to deal with potential barriers in implementing circularity in the context of dairy supply chains. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 263
Citation - Scopus: 324
A new holistic conceptual framework for green supply chain management performance assessment based on circular economy
(Elsevier Ltd, 2018) Yigit Kazancoglu; Ipek Kazançoǧlu; Muhittin Saǧnak; Kazancoglu, Yigit; Kazancoglu, Ipek; Sagnak, Muhittin
In circular economy the Green Supply Chain Management (GSCM) provides the resource optimization and it is seen as a solution to solve environmental problems and consumption patterns within the whole supply chain. The GSCM implementation and performance assessment is relatively important for survival in an ever-increasingly competitive environment. Within the circular economy context, companies that aim to improve GSCM must constantly monitor their performance. In order to integrate the circular economy concept into GSCM it is required to achieve an optimal balance of environmental economic logistics organizational and marketing performance indicators. However in the literature these indicators were investigated separately in terms of GSCM performance assessment therefore to achieve this optimal balance it is necessary to assess these different indicators. Within this context the aim of this paper is to propose a new holistic conceptual GSCM performance assessment framework which integrates environmental economic logistics operational organizational and marketing performance. The framework has three-dimensional hierarchy which includes the main criteria sub-criteria and the measures for the GSCM performance assessment which have great significance to implement effective GSCM. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 5
Citation - Scopus: 9
A new holistic conceptual framework for layout performance assessment
(EMERALD GROUP PUBLISHING LTD, 2019) Muhittin Sagnak; Erhan Ada; Yigit Kazancoglu; Sagnak, Muhittin; Ada, Erhan; Kazancoglu, Yigit
Purpose Performance assessment of layouts requires a systematic approach because of its multi-objective nature. The purpose of this paper is to propose a framework to the performance assessment of layout designs. Design/methodology/approach A layout performance assessment framework is proposed grounded on a literature review. Then the causal relationships and prioritization of the sub-criteria are analyzed by fuzzy Decision Making Trial and Evaluation Laboratory technique in an elevator and escalator-manufacturing firm. Findings An integrated holistic performance assessment framework specifically the 7 criteria 19 sub-criteria and 112 measures are studied in this model which represents causal relationships and prioritization of sub-criteria. Research limitations/implications The proposed framework can be generalized because an integrative framework can be used in future empirical studies to analyze performance of layout design. However the causal relationships and prioritization among sub-criteria are analyzed based on the needs and capabilities of the individual company, therefore the results of the causal relationships are company specific. Practical implications With this framework the companies may assess their current layout's performance may analyze causal relationships and prioritization of sub-criteria. Originality/value There are very few models or frameworks regarding the performance assessment of layout designs. In this paper a new conceptual holistic framework was proposed as three-dimensional hierarchy which includes the main criteria sub-criteria and the measures respectively. Cost flow flexibility surrounding environment environment quality time and characteristics are identified as the main criteria for the layout design performance assessment. In addition cause-effect relationships which will be the base for improvement of the performance are found.
Citation - WoS: 11
Citation - Scopus: 18
A New Holistic Conceptual Framework for Leanness Assessment
(RAM ARTI PUBL, 2020) Cansu Tayaksi; Muhittin Sagnak; Yigit Kazancoglu; Tayaksi, Cansu; Sagnak, Muhittin; Kazancoglu, Yigit
Lean principles aiming at eliminating waste and increasing efficiency at a company take their roots from the initiatives of Taiichi Ohno. After the implementation of the principles at the Toyota Motor Company for the first time businesses started to discover the benefits of lean implementation in terms of efficiency increase. As the adaptation of lean into the manufacturing sector is continuing the necessity of assessing the level of leanness at the firm-level maintains its importance. Taking systems approach as a basis the lean performance of an organization should be assessed as a whole. Therefore we propose a holistic leanness assessment framework which encapsulates various dimensions of the leanness assessment and we identify the importance and causal relationships between the sub-criteria. In order to identify the importance and causal relationships between the sub-criteria we used fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL). Our findings show that the most influencing factor in the cause group is 'technology and product design' which indicates the companies' necessity to focus on Industry 4.0 during their operations. The results also illustrate that the most influenced factor in the effect group is 'productivity' in which companies can investigate strategic competitive advantages. The design of a holistic framework and the implementation of fuzzy DEMATEL offers a way to identify the importance and the causal relationships between the sub-criteria. With the help of a case study conducted in the plastics industry of Turkey we offer managerial implications that could help managers to implement the proposed structural leanness assessment framework.
Citation - WoS: 31
Citation - Scopus: 44
A proposed sustainable and digital collection and classification center model to manage e-waste in emerging economies
(Emerald Group Holdings Ltd., 2020) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Yeşim Deniz Özkan-Özen; Muhittin Saǧnak; Ozbiltekin, Melisa; Kazancoglu, Yigit; Sagnak, Muhittin; Ozkan Ozen, Yesim Deniz
Purpose: This study aims to propose an electronic waste collection and classification system to enhance social environmental and economic sustainability by integrating data-driven technologies in emerging economies. Design/methodology/approach: GM (1 1) model under grey prediction is used in this study in order to estimate the trend of the amount of collected electronic waste in emerging economies. Findings: It is revealed that the amount of collected electronic waste is increasing day by day and within the framework of sustainability in the process of collecting and classification of electronic waste digital technologies were found to be lacking. It has been determined that this deficiency together with the increasing amount of electronic waste has caused environmental social and economic damage to emerging economies. Originality/value: The main originality of this study is integrating electronic waste collection and classification processes with data-driven technologies and sustainability which is a relatively new subject. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 22
Citation - Scopus: 34
Analysis of barriers to circularity for agricultural cooperatives in the digitalization era
(EMERALD GROUP PUBLISHING LTD, 2022) Erhan Ada; Muhittin Sagnak; Ruhan Askin Uzel; Irem Balcioglu; Uzel, Ruhan Askin; Balcioglu, Irem; Ada, Erhan; Sagnak, Muhittin
Purpose This study aims to propose a novel framework for barriers to circularity within cooperative supply chains. The barriers in the adoption and implementation of circular economy principles are examined within a framework. Design/methodology/approach Fuzzy best-worst method is used to calculate the weights of barriers and identify the prioritization of barriers to circularity within cooperative supply chain. Findings Insufficient implementation of circular economy laws was found as the most important barrier followed by Lack of information Ineffective recycling policies Lack of awareness for circular economy Remanufacturing is a labor-intensive procedure Inconsistent price policies in sources and products Lack of environmental management system Cost of implementation for green activities and Lack of R&D capability barriers respectively. Research limitations/implications The number of participant professionals limits the conclusions of the study and reaching more general conclusions. A comprehensive research can be conducted by the participation of a greater number of professionals. Originality/value Several studies analyzed the barriers to circularity, however to the best of the authors' knowledge no study has been taken an approach for barriers to circularity for cooperatives or cooperative supply chains.
Citation - WoS: 237
Citation - Scopus: 303
Circular economy and the policy: A framework for improving the corporate environmental management in supply chains
(WILEY, 2021) Ipek Kazancoglu; Muhittin Sagnak; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Kumar Mangla, Sachin; Kazancoglu, Ipek; Sagnak, Muhittin; Kazancoglu, Yigit
The transition to the circular economy (CE) creates value through the closed-loop systems reverse logistics product life cycle management and clean production in terms of corporate environmental management. During this transition process the organization faces many barriers such as financial organizational technology-based social policy-related market-based and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings lack of legislation for efficient CE (C4) lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17) and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards improving communication among stakeholders the government's perception of CE and current linear economy cooperation with nongovernmental organization (NGOs) and civil actions the vision of government towards circular principles the circular public procurement the local governments in circular policymaking and awareness of bureaucracy and government officials.
Citation - WoS: 13
Citation - Scopus: 16
Circularity assessment of logistics activities for green business performance management
(WILEY, 2023) Yalcin Berberoglu; Yigit Kazancoglu; Muhittin Sagnak; Berberoglu, Yalcin; Kazancoglu, Yigit; Sagnak, Muhittin
The population of the world is increasing and product demand is increasing making a linear economy ineffective and therefore this situation makes the circular economy (CE) a requirement. Economic social and environmental factors all play a role in the CE. Also logistics activities are critical parts of the CE. Hence this study's goal is to create a framework for evaluating organizations' CE logistics performance. The main contribution of the study is the creation of a framework to assess the circularity performance including various logistics activities and measure the performance of logistics activities. To establish a list of criteria 30 experts were interviewed. The criteria were ranked using fuzzy statements. The selected multi-criteria decision-making (MCDM) method data envelopment analysis is applied using IBM ILOG CPLEX Optimization Studio version 20.1.0.
Citation - WoS: 23
Citation - Scopus: 28
Decision-making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)
(Emerald Group Holdings Ltd., 2020) Muhittin Saǧnak; Yigit Kazancoglu; Yeşim Deniz Özkan-Özen; Jose Arturo Garza-Reyes; Garza-Reyes, Jose Arturo; Ozen, Yesim Deniz Ozkan; Sagnak, Muhittin; Kazancoglu, Yigit; Ozkan Ozen, Yesim Deniz
Purpose: The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Design/methodology/approach: Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O) severity (S) and difficulty of detection (D). Additionally the prospect-theory-based TODIM method was integrated with fuzzy logic. Thus fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their risk priority numbers (RPNs). In order to verify the results of the study in-depth interviews were conducted with the participation of industry experts. Findings: The results are very much in line with prospect theory. Therefore practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm's attention is furnace failure followed by generator failure crane failure tank failure kettle failure dryer failure and operator failure respectively. Originality/value: The originality of this paper consists in integrating prospect theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA's RPNs. © 2021 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Determining the causal relationship among the research streams of the operations management course
(ROUTLEDGE JOURNALS TAYLOR & FRANCIS LTD, 2019) Muhittin Sagnak; Yigit Kazancoglu; Murat Aksoy; Aksoy, Murat; Sagnak, Muhittin; Kazancoglu, Yigit
Due to the rapid changes in technology there have been dramatic changes in manufacturing systems and techniques in almost all industries. In this sense higher education institutions have become more important as they play a key role in ensuring the labor force in the industry. In the present study the research streams for operations management course were established then fuzzy total interpretive structural modelling technique was employed to analyze the causal relations and influences among the factors. The purpose of the study was to determine the relationships among the research streams of operations management course.
Citation - WoS: 106
Citation - Scopus: 95
Framework for a sustainable supply chain to overcome risks in transition to a circular economy through Industry 4.0
(TAYLOR & FRANCIS LTD, 2023) Yigit Kazancoglu; Yesim Deniz Ozkan-Ozen; Muhittin Sagnak; Ipek Kazancoglu; Manoj Dora; Dora, Manoj; Ozkan-Ozen, Yesim Deniz; Kazancoglu, Yigit; Sagnak, Muhittin; Kazancoglu, Ipek
Transition from a linear to a circular economy (CE) is a challenging process for a sustainable supply chain and innovative process approaches and technologies are needed to deal with the risks involved. Industry 4.0 principles have great potential to achieve optimal sustainable supply chain solutions and are expected to add value to sustainable supply chain operations by increasing efficiency and resource utilisation. Therefore Industry 4.0 supports companies transitioning to a CE through improving the efficiency and sustainability of their supply chain management. Thus the purpose of this paper is to investigate the potential risks of the transition from a linear to a CE with proposed Industry 4.0-based responses from an operations management perspective within the sustainable supply chain. Implementation of the study was conducted in a logistics company in Turkey. An integrated MCDM (Multi-criteria Decision Making) approach was based on Fuzzy AHP and TODIM was used to analyse the association between risks and responses. According to the findings the most important Industry 4.0-based responses are the integrated business processes for cross-functional collaboration modular processes for simplification and standardisation and continuous monitoring of the cost and performance throughout the supply chain by big data and analytics. This study may assist managers in managing risks in supply chain operations during the transition from a linear to a CE through Industry 4.0 based responses. The main contribution of this study is a greater understanding of the risks related to the transition from a linear to a circular economy and proposals for Industry 4.0-based responses as a means of overcoming these risks in a sustainable supply chain context.
Citation - WoS: 3
Citation - Scopus: 7
Fuzzy analytic hierarchy process-integrated statistical process control: An application of demerit chart at furniture manufacturing company
(WILEY, 2020) Muhittin Sagnak; Yigit Kazancoglu; Sagnak, Muhittin; Kazancoglu, Yigit
Statistical process control techniques especially control charts have been popular tools for tracking and analysing the quality improvement process. Control charts make measurements in respect to the central line and the upper and lower control limits of a process and allow corrective action to be taken. It may be not adequate when the quality characteristics include properties requiring the usage of linguistic variables (e.g. very poor poor average good and very good) rather than identifying them just conforming or nonconforming. The demerit chart is a control chart for attributes that allows the arrangement of the relative exact weight (real number) consistent with the various levels of defects. In this paper in order to hire linguistic weights a demerit chart was integrated with fuzzy analytical hierarchy process mainly through the determination of weights in accordance with the degrees of defects after which the central line and upper and lower limits were calculated.
Citation - WoS: 33
Citation - Scopus: 92
Fuzzy DEMATEL-based green supply chain management performance: Application in cement industry
(EMERALD GROUP PUBLISHING LTD, 2018) Yigit Kazancoglu; Ipek Kazancoglu; Muhittin Sagnak; Kazancoglu, Yigit; Kazancoglu, Ipek; Sagnak, Muhittin
Purpose Performance assessment of green supply chain management (GSCM) requires a systematic approach because of its interdisciplinary and multi-objective nature. The purpose of this paper is to propose a model to the performance assessment of GSCM. Design/methodology/approach A model is proposed grounded on a literature review on GSCM performance after which the causal relationships and prioritization of the sub-criteria are analyzed by fuzzy Decision Making Trial and Evaluation Laboratory technique in a company operating in the cement industry. Findings An integrated holistic performance assessment model incorporating specifically six criteria and 21 sub-criteria is applied which represents causal relationships and prioritization of sub-criteria. Research limitations/implications The proposed model can be generalized because an integrative framework can be used in future empirical studies to analyze performance of GSCM. However the causal relationships and prioritization among sub-criteria are analyzed based on the needs and capabilities of the individual company, therefore the causal relationships found are company specific. Practical implications The proposed model can be hired and implemented by companies striving for GSCM. This model allows companies to assess their current GSCM performance analyze causal relationships and prioritize sub-criteria. Originality/value Several studies have analyzed performance assessment in green supply chains, however to the best of the authors' knowledge no study has taken an approach to performance assessment in GSCM that combines environmental economics/financial logistics operational organizational and marketing in the same framework. In addition the cause-effect relationships identified will be the base for performance improvement.
Citation - WoS: 16
Integrated Fuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection
(EGE UNIV FAC ECONOMICS & ADMIN SCIENCES, 2019) Muhittin Sagnak; Yigit Kazancoglu; Sagnak, Muhittin; Kazancoglu, Yigit
Enterprise Resource Planning (ERP) is a software system incorporating all business functions with regard to systems approach. Global competition forces enterprises to lower costs reduce inventories improve quality and provide better customer service. Therefore it is important for enterprises to integrate their business functions through the selection and implementation of appropriate ERP software. However there are three managerial problems existing in this decision process related respectively with the evaluation of criteria and alternatives the vagueness within the evaluation process and the multiple goals and constraints of the company. In this study in order to select the most appropriate ERP software the multiple criteria decision-making method (MCDM) is combined with 0-1 goal programming in order to present the combination of linear programming and a MCDM. This combination takes into account not only the need to hire expert opinion for strategic decisions such as ERP selection but also the limited resources available to enterprises. Also due to the fuzzy nature of the problem the MCDM technique Analytic Network Process (ANP) is combined with fuzzy logic, therefore fuzzy analytic network process (FANP) is integrated with 0-1 goal programming. The reason for employing FANP is its potential to facilitate the transfer the expert opinion within a network concept.
Citation - WoS: 4
Citation - Scopus: 4
Integration of lean approach with energy efficiency: Application in kitchenware manufacturing company
(International Journal of Mathematical Engineering and Management Sciences, 2020) Muhittin Saǧnak; Erhan Ada; Yigit Kazancoglu; Atul Mishra; Mishra, Atul; Sagnak, Muhittin; Ada, Erhan; Kazancoglu, Yigit
Energy efficiency in the industries is one of the leading problems of the 21st century. The main aim for the companies to deal with the energy efficiency paradigm is to save the resources in the manufacturing operations. Manufacturing opera-tions involve activities that creates wastes in any case, therefore these wastes should be eliminated or minimized as much as possible. In this paper it is aimed to integrate the energy efficiency term with lean management principles. The barriers and the drivers of the energy efficiency was discussed and the 8 wastes within lean perspective were translated into energy counterparts. 8 wastes of lean approach were defined as energy efficiency perspective and used as criteria. The study will reveal the important criteria using Fuzzy Analytic Network Process (Fuzzy ANP) method to make impli-cations about how to eliminate these wastes. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 41
Citation - Scopus: 53
Operational excellence in a green supply chain for environmental management: A case study
(WILEY, 2020) Yigit Kazancoglu; Muhittin Sagnak; Yasanur Kayikci; Sachin Kumar Mangla; Kayikci, Yasanur; Kumar Mangla, Sachin; Kazancoglu, Yigit; Sagnak, Muhittin; Mangla, Sachin Kumar
Nowadays organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context given that becoming green in the operational side of activities is essential the performance assessment of operational activities also requires a holistic view to be taken. In this paper an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria namely quality management efficiency management green production/manufacturing eco-packaging and green design. First the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then the overall operational performance score was found by a weighted scoring method. Finally both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.
Citation - WoS: 4
Citation - Scopus: 6
Quality Assurance for Operating Room Illumination through Lean Six Sigma
(INT JOURNAL MATHEMATICAL ENGINEERING & MANAGEMENT SCIENCES-IJMEMS, 2021) Yucel Ozturkoglu; Yigit Kazancoglu; Muhittin Sagnak; Jose Arturo Garza-Reyes; Garza-Reyes, Jose Arturo; Ozturkoglu, Yucel; Kazancoglu, Yigit; Sagnak, Muhittin
Since every mistake made in the healthcare industry can cause permanent harm or even death some fundamental requirements should be considered when planning and designing operating rooms. Lighting is one of the most important ergonomic factors especially for operating rooms. This paper investigates the integration of the lean approach and six sigma in measuring the efficiency of LED technology which can also be regarded as a factor affecting the operating room efficiency. Measurement System Analysis (MSA) and Gage Control methods were applied to determine measurement variability in operating room illumination measurement process. Repeatability and reproducibility (%R&R) was found 12.89%. After calibration %R&R value was found 8.21% which implies that calibration helped reduce variability.
Citation - WoS: 8
Citation - Scopus: 13
Quality function deployment application for improving quality of education in business schools
(ROUTLEDGE JOURNALS TAYLOR & FRANCIS LTD, 2017) Muhittin Sagnak; Nesrin Ada; Yigit Kazancoglu; Cansu Tayaksi; Sagnak, Muhittin; Kazancoglu, Yigit; Tayaksi, Cansu; Ada, Nesrin
There is an increasing competition between universities globally to attract students. At this point to compete it is imperative for the universities to improve the quality of education provided for their stakeholders including students parents and employers. For improving the quality of education first of all the universities should make efforts to understand stakeholder expectations by analyzing their needs and wants. For this purpose the authors incorporated the quality function deployment technique with fuzzy analytical network process. Due to the vagueness present in the evaluation of relative importance of the criteria for higher education fuzzy set theory is integrated.