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Ever-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system, and to maintain its processes effectively. In the healthcare sector, the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials, increased energy use, and its environmental burden. In this context, circularity and sustainability concepts have become essential in healthcare to meliorate the sector’s negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector, apply big data analytics in healthcare, and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation, and a proposal for a big data-enabled solutions framework to barriers to circularity, using fuzzy best-worst Method (BWM) and fuzzy VIKOR. Based on the findings, managerial, policy, and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector.
Yiğit Kazançoğlu; Muhittin Sağnak; Çisem Lafcı; Sunil Luthra; Anil Kumar; Caner Taçoğlu. Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector. International Journal of Environmental Research and Public Health 2021, 18, 7513 .
AMA StyleYiğit Kazançoğlu, Muhittin Sağnak, Çisem Lafcı, Sunil Luthra, Anil Kumar, Caner Taçoğlu. Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector. International Journal of Environmental Research and Public Health. 2021; 18 (14):7513.
Chicago/Turabian StyleYiğit Kazançoğlu; Muhittin Sağnak; Çisem Lafcı; Sunil Luthra; Anil Kumar; Caner Taçoğlu. 2021. "Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector." International Journal of Environmental Research and Public Health 18, no. 14: 7513.
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.
Erhan Ada; Muhittin Sagnak; Ruhan Askin Uzel; Irem Balcıoğlu. Analysis of barriers to circularity for agricultural cooperatives in the digitalization era. International Journal of Productivity and Performance Management 2021, ahead-of-p, 1 .
AMA StyleErhan Ada, Muhittin Sagnak, Ruhan Askin Uzel, Irem Balcıoğlu. Analysis of barriers to circularity for agricultural cooperatives in the digitalization era. International Journal of Productivity and Performance Management. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleErhan Ada; Muhittin Sagnak; Ruhan Askin Uzel; Irem Balcıoğlu. 2021. "Analysis of barriers to circularity for agricultural cooperatives in the digitalization era." International Journal of Productivity and Performance Management ahead-of-p, no. ahead-of-p: 1.
Purpose Today, information systems and technology provides a wide set of tools for companies to increase the efficiency of their businesses. Although technology offers many benefits to businesses, it also brings risks as the information systems security breaches. Security breaches and their financial impact is a constant concern of the researchers and practitioners. This paper explores information systems breaches and their financial impacts on the publicly traded companies in different sectors. Design/methodology/approach After a comprehensive data collection process, data from 192 events are analyzed by employing Event Study Methodology and a comparison of the results between the four highly affected sectors (Consumer Goods, Technology, Financial and Communications) is presented. The abnormal returns on the prices of stocks after the events are calculated with the Market Model. Also, the results of the Market Adjusted Model and Mean Adjusted Model are presented to support the results. Findings While information systems security breaches have a significant negative impact on the Financials and the Technology sectors for all the event windows in the study ([−5, 0], [−5, 1], [−5, 5], and [−5, 10]), the significant negative impact is observed only on the [−5, 5] and [−5, 10] event windows for the Consumer Goods sector. No significant negative impact is observed in the Communications sector, in fact, the cumulative abnormal returns are positive for this sector. Originality/value The contribution of this paper to provide evidence about the financial impacts of the information systems breaches for businesses in different sectors. While there are studies that have previously focused on the information systems breaches and their financial impacts on businesses, to the best of our knowledge, this is the first study that compares this effect between the four highly impacted sectors. With a relatively larger sample size and broader event windows than the past studies in the literature, statistical evidence is provided to managers to justify their investments in information security and build preventive measures to secure the market value of their firms.
Cansu Tayaksi; Erhan Ada; Yigit Kazancoglu; Muhittin Sagnak. The financial impacts of information systems security breaches on publicly traded companies: reactions of different sectors. Journal of Enterprise Information Management 2021, ahead-of-p, 1 .
AMA StyleCansu Tayaksi, Erhan Ada, Yigit Kazancoglu, Muhittin Sagnak. The financial impacts of information systems security breaches on publicly traded companies: reactions of different sectors. Journal of Enterprise Information Management. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleCansu Tayaksi; Erhan Ada; Yigit Kazancoglu; Muhittin Sagnak. 2021. "The financial impacts of information systems security breaches on publicly traded companies: reactions of different sectors." Journal of Enterprise Information Management ahead-of-p, no. ahead-of-p: 1.
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.
Yigit Kazancoglu; Muhittin Sagnak; Sachin Kumar Mangla; Muruvvet Deniz Sezer; Melisa Ozbiltekin Pala. A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions. Technological Forecasting and Social Change 2021, 170, 120927 .
AMA StyleYigit Kazancoglu, Muhittin Sagnak, Sachin Kumar Mangla, Muruvvet Deniz Sezer, Melisa Ozbiltekin Pala. A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions. Technological Forecasting and Social Change. 2021; 170 ():120927.
Chicago/Turabian StyleYigit Kazancoglu; Muhittin Sagnak; Sachin Kumar Mangla; Muruvvet Deniz Sezer; Melisa Ozbiltekin Pala. 2021. "A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions." Technological Forecasting and Social Change 170, no. : 120927.
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.
Yucel Ozturkoglu; Yigit Kazancoglu; Muhittin Sagnak; Jose Arturo Garza-Reyes. Quality Assurance for Operating Room Illumination through Lean Six Sigma. International Journal of Mathematical, Engineering and Management Sciences 2021, 6, 752 -770.
AMA StyleYucel Ozturkoglu, Yigit Kazancoglu, Muhittin Sagnak, Jose Arturo Garza-Reyes. Quality Assurance for Operating Room Illumination through Lean Six Sigma. International Journal of Mathematical, Engineering and Management Sciences. 2021; 6 (3):752-770.
Chicago/Turabian StyleYucel Ozturkoglu; Yigit Kazancoglu; Muhittin Sagnak; Jose Arturo Garza-Reyes. 2021. "Quality Assurance for Operating Room Illumination through Lean Six Sigma." International Journal of Mathematical, Engineering and Management Sciences 6, no. 3: 752-770.
In emerging economies, electronic waste is an important problem, because it negatively affects the health of staff and people, and causes pollution. Moreover, the location of the collection center has a crucial role in sustainable supply chains. Therefore, in this study, a framework was proposed to identify the location of sustainable collection centers for e-waste. The criteria set includes 3 main criteria, and 23 sub-criteria, and 7 different location options. The main criteria cover economic, social, and environmental criteria, which are organized as the Triple-Bottom-Line dimensions. Alternatives are Manisa, Menemen, Gaziemir, Kemalpaşa, Torbalı, Çiğli, and Akhisar. Fuzzy Best-Worst Method (BWM) and Fuzzy TOPSIS methods are used to calculate the weights of criteria and rankings of the alternatives, respectively. Transportation cost was found as the most important criterion for sustainable collection center selection, followed by collection cost, storage/holding cost, land cost, greenhouse gas emissions, energy cost, tax, and investment cost, respectively. Among other alternatives, Çiğli was found as the best alternative for sustainable collection center, followed by Gaziemir, and Manisa. Managerial implications were presented based on the findings.
Muhittin Sagnak; Yalcin Berberoglu; Ilker Memis; Ogulcan Yazgan. Sustainable collection center location selection in emerging economy for electronic waste with fuzzy Best-Worst and fuzzy TOPSIS. Waste Management 2021, 127, 37 -47.
AMA StyleMuhittin Sagnak, Yalcin Berberoglu, Ilker Memis, Ogulcan Yazgan. Sustainable collection center location selection in emerging economy for electronic waste with fuzzy Best-Worst and fuzzy TOPSIS. Waste Management. 2021; 127 ():37-47.
Chicago/Turabian StyleMuhittin Sagnak; Yalcin Berberoglu; Ilker Memis; Ogulcan Yazgan. 2021. "Sustainable collection center location selection in emerging economy for electronic waste with fuzzy Best-Worst and fuzzy TOPSIS." Waste Management 127, no. : 37-47.
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.
Ipek Kazancoglu; Muhittin Sagnak; Sachin Kumar Mangla; Yigit Kazancoglu. Circular economy and the policy: A framework for improving the corporate environmental management in supply chains. Business Strategy and the Environment 2020, 30, 590 -608.
AMA StyleIpek Kazancoglu, Muhittin Sagnak, Sachin Kumar Mangla, Yigit Kazancoglu. Circular economy and the policy: A framework for improving the corporate environmental management in supply chains. Business Strategy and the Environment. 2020; 30 (1):590-608.
Chicago/Turabian StyleIpek Kazancoglu; Muhittin Sagnak; Sachin Kumar Mangla; Yigit Kazancoglu. 2020. "Circular economy and the policy: A framework for improving the corporate environmental management in supply chains." Business Strategy and the Environment 30, no. 1: 590-608.
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 ener-gy 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 implications about how to eliminate these wastes.
Muhittin Sagnak; Erhan Ada; Yigit Kazancoglu; Atul Mishra. Integration of Lean Approach with Energy Efficiency: Application in Kitchenware Manufacturing Company. International Journal of Mathematical, Engineering and Management Sciences 2020, 5, 1128 -1139.
AMA StyleMuhittin Sagnak, Erhan Ada, Yigit Kazancoglu, Atul Mishra. Integration of Lean Approach with Energy Efficiency: Application in Kitchenware Manufacturing Company. International Journal of Mathematical, Engineering and Management Sciences. 2020; 5 (6):1128-1139.
Chicago/Turabian StyleMuhittin Sagnak; Erhan Ada; Yigit Kazancoglu; Atul Mishra. 2020. "Integration of Lean Approach with Energy Efficiency: Application in Kitchenware Manufacturing Company." International Journal of Mathematical, Engineering and Management Sciences 5, no. 6: 1128-1139.
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.
Yigit Kazancoglu; Melisa Ozbiltekin; Yesim Deniz Ozkan Ozen; Muhittin Sagnak. A proposed sustainable and digital collection and classification center model to manage e-waste in emerging economies. Journal of Enterprise Information Management 2020, 34, 267 -291.
AMA StyleYigit Kazancoglu, Melisa Ozbiltekin, Yesim Deniz Ozkan Ozen, Muhittin Sagnak. A proposed sustainable and digital collection and classification center model to manage e-waste in emerging economies. Journal of Enterprise Information Management. 2020; 34 (1):267-291.
Chicago/Turabian StyleYigit Kazancoglu; Melisa Ozbiltekin; Yesim Deniz Ozkan Ozen; Muhittin Sagnak. 2020. "A proposed sustainable and digital collection and classification center model to manage e-waste in emerging economies." Journal of Enterprise Information Management 34, no. 1: 267-291.
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.
Muhittin Sagnak; Yigit Kazancoglu; Yesim Deniz Ozkan Ozen; Jose Arturo Garza-Reyes. Decision-making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA). International Journal of Quality & Reliability Management 2020, 37, 939 -956.
AMA StyleMuhittin Sagnak, Yigit Kazancoglu, Yesim Deniz Ozkan Ozen, Jose Arturo Garza-Reyes. Decision-making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA). International Journal of Quality & Reliability Management. 2020; 37 (6/7):939-956.
Chicago/Turabian StyleMuhittin Sagnak; Yigit Kazancoglu; Yesim Deniz Ozkan Ozen; Jose Arturo Garza-Reyes. 2020. "Decision-making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)." International Journal of Quality & Reliability Management 37, no. 6/7: 939-956.
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.
Cansu Tayaksi; Muhittin Sagnak; Yigit Kazancoglu. A New Holistic Conceptual Framework for Leanness Assessment. International Journal of Mathematical, Engineering and Management Sciences 2020, 5, 567 -590.
AMA StyleCansu Tayaksi, Muhittin Sagnak, Yigit Kazancoglu. A New Holistic Conceptual Framework for Leanness Assessment. International Journal of Mathematical, Engineering and Management Sciences. 2020; 5 (4):567-590.
Chicago/Turabian StyleCansu Tayaksi; Muhittin Sagnak; Yigit Kazancoglu. 2020. "A New Holistic Conceptual Framework for Leanness Assessment." International Journal of Mathematical, Engineering and Management Sciences 5, no. 4: 567-590.
Purpose The volume of data being generated by various sectors in recent years has increased exponentially. Consequently, professionals struggle to process essential data in the current competitive world. The purpose of the study is to explore and provide insights into the Big Data Analytics (BDA) studies in different sectors. Design/methodology/approach This study performs a systematic literature review (SLR) with bibliometric analysis of BDA adoption (BDAA) in the supply chain and its applications in various sectors from 2014 to 2018. This paper focuses on BDAA studies have been carried out across different countries and sectors. Also, the paper explores different tools and techniques used in BDAA studies. Findings The benefits of adopting BDA, coupled with a lack of adequate research in the field, have motivated this study. This literature review categorizes paper into seven main areas and found that most of the studies were carried out in manufacturing and service. Practical implications This research insight and observations can provide practitioners and academia with guidance on implementing BDA in different sustainable supply chain sectors. The article indicates a few remarkable gaps in the future direction and trends regarding the integration of BDA and sustainable supply chain development. Originality/value The study derives a new categorization of BDA, which investigates how data is generated, organized, captured, interpreted and evaluated to give valuable insights to manage the sustainable supply chain.
Zeeshan Inamdar; Rakesh Raut; Vaibhav S. Narwane; Bhaskar Gardas; Balkrishna Narkhede; Muhittin Sagnak. A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018. Journal of Enterprise Information Management 2020, 34, 101 -139.
AMA StyleZeeshan Inamdar, Rakesh Raut, Vaibhav S. Narwane, Bhaskar Gardas, Balkrishna Narkhede, Muhittin Sagnak. A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018. Journal of Enterprise Information Management. 2020; 34 (1):101-139.
Chicago/Turabian StyleZeeshan Inamdar; Rakesh Raut; Vaibhav S. Narwane; Bhaskar Gardas; Balkrishna Narkhede; Muhittin Sagnak. 2020. "A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018." Journal of Enterprise Information Management 34, no. 1: 101-139.
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.
Yigit Kazancoglu; Muhittin Sagnak; Yasanur Kayikci; Sachin Kumar Mangla. Operational excellence in a green supply chain for environmental management: A case study. Business Strategy and the Environment 2019, 29, 1532 -1547.
AMA StyleYigit Kazancoglu, Muhittin Sagnak, Yasanur Kayikci, Sachin Kumar Mangla. Operational excellence in a green supply chain for environmental management: A case study. Business Strategy and the Environment. 2019; 29 (3):1532-1547.
Chicago/Turabian StyleYigit Kazancoglu; Muhittin Sagnak; Yasanur Kayikci; Sachin Kumar Mangla. 2019. "Operational excellence in a green supply chain for environmental management: A case study." Business Strategy and the Environment 29, no. 3: 1532-1547.
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.
Muhittin Sagnak; Yigit Kazancoglu. Fuzzy analytic hierarchy process‐integrated statistical process control: An application of demerit chart at furniture manufacturing company. Journal of Multi-Criteria Decision Analysis 2019, 27, 96 -103.
AMA StyleMuhittin Sagnak, Yigit Kazancoglu. Fuzzy analytic hierarchy process‐integrated statistical process control: An application of demerit chart at furniture manufacturing company. Journal of Multi-Criteria Decision Analysis. 2019; 27 (1-2):96-103.
Chicago/Turabian StyleMuhittin Sagnak; Yigit Kazancoglu. 2019. "Fuzzy analytic hierarchy process‐integrated statistical process control: An application of demerit chart at furniture manufacturing company." Journal of Multi-Criteria Decision Analysis 27, no. 1-2: 96-103.
PurposePerformance 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/approachA 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.FindingsAn 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/implicationsThe 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 implicationsWith this framework, the companies may assess their current layout’s performance, may analyze causal relationships and prioritization of sub-criteria.Originality/valueThere 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.
Muhittin Sagnak; Erhan Ada; Yigit Kazancoglu. A new holistic conceptual framework for layout performance assessment. Journal of Manufacturing Technology Management 2019, 30, 233 -260.
AMA StyleMuhittin Sagnak, Erhan Ada, Yigit Kazancoglu. A new holistic conceptual framework for layout performance assessment. Journal of Manufacturing Technology Management. 2019; 30 (1):233-260.
Chicago/Turabian StyleMuhittin Sagnak; Erhan Ada; Yigit Kazancoglu. 2019. "A new holistic conceptual framework for layout performance assessment." Journal of Manufacturing Technology Management 30, no. 1: 233-260.
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Muhittin Sağnak; Yiğit Kazançoğlu. Integrated Fuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection. Ege Akademik Bakis (Ege Academic Review) 2019, 19, 1 .
AMA StyleMuhittin Sağnak, Yiğit Kazançoğlu. Integrated Fuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection. Ege Akademik Bakis (Ege Academic Review). 2019; 19 (1):1.
Chicago/Turabian StyleMuhittin Sağnak; Yiğit Kazançoğlu. 2019. "Integrated Fuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection." Ege Akademik Bakis (Ege Academic Review) 19, no. 1: 1.
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.
Muhittin Sagnak; Yigit Kazancoglu; Murat Aksoy. Determining the causal relationship among the research streams of the operations management course. Journal of Education for Business 2018, 94, 157 -166.
AMA StyleMuhittin Sagnak, Yigit Kazancoglu, Murat Aksoy. Determining the causal relationship among the research streams of the operations management course. Journal of Education for Business. 2018; 94 (3):157-166.
Chicago/Turabian StyleMuhittin Sagnak; Yigit Kazancoglu; Murat Aksoy. 2018. "Determining the causal relationship among the research streams of the operations management course." Journal of Education for Business 94, no. 3: 157-166.
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.
Yigit Kazancoglu; Ipek Kazancoglu; Muhittin Sagnak. A new holistic conceptual framework for green supply chain management performance assessment based on circular economy. Journal of Cleaner Production 2018, 195, 1282 -1299.
AMA StyleYigit Kazancoglu, Ipek Kazancoglu, Muhittin Sagnak. A new holistic conceptual framework for green supply chain management performance assessment based on circular economy. Journal of Cleaner Production. 2018; 195 ():1282-1299.
Chicago/Turabian StyleYigit Kazancoglu; Ipek Kazancoglu; Muhittin Sagnak. 2018. "A new holistic conceptual framework for green supply chain management performance assessment based on circular economy." Journal of Cleaner Production 195, no. : 1282-1299.
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.
Muhittin Sagnak; Nesrin Ada; Yigit Kazancoglu; Cansu Tayaksi. Quality function deployment application for improving quality of education in business schools. Journal of Education for Business 2017, 92, 1 -8.
AMA StyleMuhittin Sagnak, Nesrin Ada, Yigit Kazancoglu, Cansu Tayaksi. Quality function deployment application for improving quality of education in business schools. Journal of Education for Business. 2017; 92 (5):1-8.
Chicago/Turabian StyleMuhittin Sagnak; Nesrin Ada; Yigit Kazancoglu; Cansu Tayaksi. 2017. "Quality function deployment application for improving quality of education in business schools." Journal of Education for Business 92, no. 5: 1-8.
Environmental considerations have led organizations to take an important role in designing environmentally-friendly, recyclable products to complement improvements in the environmental standards of services. In this context, the application of lean practices may result in pollution reduction. In this paper, firstly, the integration of green lean approach is discussed, and then the limitations of green lean approach are identified. Finally, we integrate the Six Sigma approach in order to overcome these limitations, and assess the performance of the green lean approach. Measurement System Analysis and Gage Control are used as methodology to measure the variations of the process in order to decrease unfavorable ecological impacts of companies’ products or services, while enhancing environmental efficiency.
Muhittin Sagnak; Yigit Kazancoglu. Integration of green lean approach with six sigma: an application for flue gas emissions. Journal of Cleaner Production 2016, 127, 112 -118.
AMA StyleMuhittin Sagnak, Yigit Kazancoglu. Integration of green lean approach with six sigma: an application for flue gas emissions. Journal of Cleaner Production. 2016; 127 ():112-118.
Chicago/Turabian StyleMuhittin Sagnak; Yigit Kazancoglu. 2016. "Integration of green lean approach with six sigma: an application for flue gas emissions." Journal of Cleaner Production 127, no. : 112-118.