is Dean of the Tagliatela College of Engineering and is the PI of the grant entitled Developing E... more is Dean of the Tagliatela College of Engineering and is the PI of the grant entitled Developing Entrepreneurial Thinking in Engineering Students by Utilizing Integrated Online Modules and a Leadership Cohort. Through this grant entrepreneurial thinking will be integrated into courses spanning all four years in seven ABET accredited engineering and computer science BS programs.
Haven Nadiye O. Erdil, an associate professor of industrial and systems engineering and engineeri... more Haven Nadiye O. Erdil, an associate professor of industrial and systems engineering and engineering and operations management at the University of New Haven. She has many years of experience in higher education and has held several academic positions including administrative appointments. She has experience in teaching at the undergraduate and the graduate level. In addition to her academic work, Dr. Erdil worked as an engineer in sheet metal manufacturing and pipe fabrication industry for several years. She holds B.S. in Computer Engineering and M.S. in Industrial Engineering. She received her Ph.D. in Industrial and Systems Engineering from Binghamton University (SUNY). Her background and research interests are in quality and productivity improvement using statistical tools, lean methods and use of information technology in operations management. Her work is primarily in manufacturing and healthcare delivery operations.
Haven, CT. She obtained her Ph.D. in Mechanical Engineering from Georgia Tech in 2008. She receiv... more Haven, CT. She obtained her Ph.D. in Mechanical Engineering from Georgia Tech in 2008. She received her Bachelors of Engineering from MIT in 2000. Her research focuses on the nontraditional engineering student-understanding their motivations, identity development, and impact of prior engineering-related experiences. Her work dwells into learning in informal settings such as summer camps, military experiences, and extra-curricular activities. Other research interests involve validation of CFD models for aerospace applications as well as optimizing efficiency of thermal-fluid systems.
In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout... more In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout her academic career in Australia and Singapore, she had developed a very strong interest in learning psychology and educational measurement. She then opted for a second Ph.D. in educational psychology, specialized in measurement, evaluation and assessment at University of Connecticut. She earned her second Ph.D. in 2010. Li has a unique crossdisciplinary educational and research background in mechatronics engineering, specialized in control and robotics, and educational psychology, specialized in statistical analysis and program evaluation.
Haven Nadiye O. Erdil, an assistant professor of industrial and systems engineering and engineeri... more Haven Nadiye O. Erdil, an assistant professor of industrial and systems engineering and engineering and operations management at the University of New Haven. She has over eleven years of experience in higher education and has held several academic positions including administrative appointments. She has experience in teaching at the undergraduate and the graduate level. In addition to her academic work, Dr. Erdil worked as an engineer in sheet metal manufacturing and pipe fabrication industry for five years. She holds B.S. in Computer Engineering, M.S. in Industrial Engineering. She received her Ph.D. in Industrial and Systems Engineering from Binghamton University (SUNY). Her background and research interests are in quality and productivity improvement using statistical tools, lean methods and use of information technology in operations management. Her work is primarily in manufacturing and healthcare delivery operations.
International Journal of Quality and Service Sciences, Jun 12, 2019
Purpose-This study investigates to what extent QFD can be used in quality improvement rather than... more Purpose-This study investigates to what extent QFD can be used in quality improvement rather than design activities. Design/methodology/approach-A framework was developed for implementation of QFD as a quality improvement tool. A case study approach is used to test this framework, and quality issues were analyzed using the framework in a ceramic tile manufacturing company. Findings-The results showed considerable improvements in the critical quality characteristics identified and sales rates, demonstrating the potential of QFD to be used in assessing and prioritizing areas of improvement, and converting them into measurable process or product requirements. Research limitations/implications-One case study was completed. More studies would be beneficial to support current findings. Practical implications-This framework provides structured approach and guidelines for practitioners in adapting QFD for quality improvements in existing products or processes. Originality/value-This study proposes a new framework to use QFD in quality improvement activities, expanding its application areas. Moreover, the results of the literature study performed provide a valuable collection of practical QFD implementation examples. Keywords Quality function deployment (QFD), quality improvement, customer complaints, voice of customer (VOC), house of quality (HOQ) Paper type Research paper Service Mnfg .
Variation in a process can stem from one or more sources that are broadly categorized under 5 Ms:... more Variation in a process can stem from one or more sources that are broadly categorized under 5 Ms: man, machine, material, methods and measurements. This research focuses on process variation resulting from measurements and provides guidelines to implement attribute measurement system analysis (MSA) in healthcare. If the measurement contributes to the variation observed in the process, then it is difficult to separate the true process variation, and this could lead to bad decision-making. MSA determines how much of the observed variability is due to the measurement system. MSA has received significant attention to date, however, much research in this field focuses on variables (continuous) data and MSA finds vast applications in manufacturing. Attributes (discrete/qualitative) data is also abundant in many processes. In industries such as healthcare, attribute MSA can play an important role in identifying variation. Medical errors resulting from system or human errors could possibly be linked to measurement. In this paper, we discuss considerations and factors in application of attribute MSA in healthcare, describe key elements for successful implementation, and show why it is worth the effort. We, then provide guidelines to implement attribute MSA in healthcare setting
International Journal of Industrial Engineering-theory Applications and Practice, Feb 17, 2020
Risks have been in the forefront of supply chain management because of the exponential rise of na... more Risks have been in the forefront of supply chain management because of the exponential rise of natural disasters and the noticeable increase of supply chain disruptions. In oil and gas industry, risk events can be associated with consequences that might lead to fatalities and loss of millions of dollars. Therefore, effective risk management is vital for oil and gas companies. In this research, a framework that combines simulation and Bow-Tie risk modeling is proposed to study the disruption risks in oil and gas supply chains. The simulation model captures the flow of material and information and accounts for the dynamic interactions among the system components. Bow-Tie analysis is used to quantify the risks and their impact. A case study is provided to demonstrate the application of the proposed framework and to show its effectiveness as a decision-support tool that can be used in disruption risk management.
Increasing the efficiency of the healthcare system in the United States is an important subject d... more Increasing the efficiency of the healthcare system in the United States is an important subject due to rapidly rising costs. Among many propositions to improve the operation of the system, adoption of Electronic Health Records is widely discussed. This study uses a system dynamics methodology to develop a simulation model of the adoption process that will allow for the exploration of policies. This paper presents the development and the preliminary findings of this model.
Lean and Six Sigma, originated in the manufacturing industry, are popular quality and process imp... more Lean and Six Sigma, originated in the manufacturing industry, are popular quality and process improvement methodologies that have widespread applications in non-manufacturing settings. The literature suggests that healthcare is the leading industry among service sector in the number of articles published focusing on Lean/Six Sigma implementation. Furthermore, most efforts related to healthcare Lean/Six Sigma take place in hospitals. This study explores the trends in the use of Lean/Six Sigma tools at hospitals. Field data about the use of tools in terms of frequency, satisfaction and plans for future use were collected using a web survey. The results showed that hospitals utilize a large number of Lean/Six Sigma tools. There are also quite a few number of tools that have not yet been exploited but are being considered for future use
An innovative approach to develop an entrepreneurial mindset in all undergraduate engineering and... more An innovative approach to develop an entrepreneurial mindset in all undergraduate engineering and computer science students is being developed and implemented. The approach consists of the development of short e-learning modules on 18 entrepreneurial topics and the integration of these modules into regular courses in programs. A flipped classroom model is used along with contextual activities related to course content, in which students apply what they learned through the modules. The methodology addresses the credit constraints in engineering and computer science programs, the lack of instructor expertise in entrepreneurial topics, and constraints in classroom instruction time. Through a mini-grant program, six modules were deployed by 29 faculty at 24 institutions nationwide from spring 2016 to spring 2017, and 30 faculty, some from previous institutions, and others from an additional 18 institutions, deployed modules in 2017-18. Preliminary assessment of the effectiveness of the approach in developing an entrepreneurial mindset in students is presented.
is Dean of the Tagliatela College of Engineering and is the PI of the two grants entitled "Projec... more is Dean of the Tagliatela College of Engineering and is the PI of the two grants entitled "Project to Integrate Technical Communication Skills" and "Developing entrepreneurial thinking in engineering students by utilizing integrated online modules and experiential learning opportunities." Through these grants technical communication and entrepreneurial thinking skills are being integrated into courses spanning all four years in seven ABET accredited engineering and computer science BS programs.
In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout... more In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout her academic career in Australia and Singapore, she had developed a very strong interest in learning psychology and educational measurement. She then opted for a second Ph.D. in educational psychology, specialized in measurement, evaluation and assessment at University of Connecticut. She earned her second Ph.D. in 2010. Li has a unique cross-disciplinary educational and research background in mechatronics engineering, specialized in control and robotics, and educational psychology, specialized in statistical analysis and program evaluation.
The emphasis on the concept of sustainability in businesses and operations is growing either due ... more The emphasis on the concept of sustainability in businesses and operations is growing either due to increasing public interest, regulatory pressures, or corporate social responsibility. However, where and how to integrate sustainability needs further development for broadening its applications. Using Lean and Six Sigma (LSS) principles in sustainability studies is becoming popular in research and practice. The common approach in these studies is to identify a sustainability project followed by current state sustainability performance assessment, and then work towards improving sustainability performance using LSS tools. The goal of this study was to develop a model framework to fully embed sustainability into any LSS project building on current practices. The wide coverage of LSS, its effectiveness record, and its overlap with sustainability goals establish the foundation for expanding LSS methodology to include sustainability concepts. The proposed framework is not specific to an industry, but is intended to be applicable to the wide spectrum of projects where LSS can be applied. Examples were provided from manufacturing and construction industries in the study. The existing methodologies are framed to target only sustainability initiatives while the presented framework aims to integrate sustainability into any type of improvement initiative. Furthermore, existing methodologies focus almost solely on environmental and economic sustainability, whereas the presented study includes social dimension too. Both academicians and professionals will benefit from the presented framework as it provides a different perspective than what is found in literature enabling broader applications, together with concrete steps and examples demonstrating its implementation, use, and potential benefits.
Patients’ experience during their initial encounter with the provider’s services may adversely af... more Patients’ experience during their initial encounter with the provider’s services may adversely affect their satisfaction with subsequent care. Streamlined and standardized processes lead to efficient and effective operations, which ultimately result in higher quality of service to patients. This paper presents a case study using statistical tools and lean methods about improving business processes that contain point of access for the patient. The study was conducted in a neurosurgery department at a teaching hospital in New Haven. The neurosurgery department has five teams, which are spine, pediatric, neurovascular, oncology, and epilepsy; the spine team was selected for pilot implementation. Based on interviews and on site observations key business processes were identified. Then, factors that lead to process inefficiency such as loopbacks where a patient has to access the system more than once to receive the service requested or flaws in internal communication flow were studied through process mapping and historical call data analysis, and the results were used to determine staffing requirements to operate effectively, i.e. meet patient expectations. The implementation approach in the pilot study and the lessons learned during implementation provided basis for development of a model for implementation with the other five teams
2015 International Conference on Industrial Engineering and Operations Management (IEOM), 2015
In any manufacturing industry, one of the areas where business leadership can focus to achieve co... more In any manufacturing industry, one of the areas where business leadership can focus to achieve cost reduction is inventory management. Inventory ties up working capital which could be better employed elsewhere. The main problem in inventory management is to determine inventory levels and order raw materials and produce finished products accordingly. The goal of this paper is to present a simple framework developed to assist end-users in their decision making process for inventory control. The framework is based on time series oriented forecasting methods to select the reordering strategies for independent demand of a product for small manufacturing companies.
Improving operations has been essential for manufacturing companies in gaining competitive advant... more Improving operations has been essential for manufacturing companies in gaining competitive advantage especially when the industry was heavily geared towards adopting lean principles. In the age of smart factories, implementing improvement projects to achieve a better performance is no longer a matter of choice but a necessity for company competitiveness. While success in any single project is of utmost importance, selecting the right project to start the improvement initiatives is as equally important. Therefore, prioritizing projects is a critical and necessary step for any manager to ensure better outcomes. This paper presents a case study involving a large manufacturing company’s 3-months intensive efforts targeting product and process improvement. Several projects focusing on various areas in the manufacturing process have been defined, and lean and statistical process control (SPC) tools were chosen to support improvement activities. Selecting the order of implementation and the changes that had to be made along the way provided invaluable input in framing success factors, pitfalls and challenges in prioritizing improvement projects in traditional manufacturing plants. These elements and the impacts of the decisions made are depicted through detailed descriptions of two projects. The first project was about production layout, and the second project targeted tooling process. In both improvement efforts, lean methods were used primarily
is Dean of the Tagliatela College of Engineering and is the PI of the grant entitled Developing E... more is Dean of the Tagliatela College of Engineering and is the PI of the grant entitled Developing Entrepreneurial Thinking in Engineering Students by Utilizing Integrated Online Modules and a Leadership Cohort. Through this grant entrepreneurial thinking will be integrated into courses spanning all four years in seven ABET accredited engineering and computer science BS programs.
Haven Nadiye O. Erdil, an associate professor of industrial and systems engineering and engineeri... more Haven Nadiye O. Erdil, an associate professor of industrial and systems engineering and engineering and operations management at the University of New Haven. She has many years of experience in higher education and has held several academic positions including administrative appointments. She has experience in teaching at the undergraduate and the graduate level. In addition to her academic work, Dr. Erdil worked as an engineer in sheet metal manufacturing and pipe fabrication industry for several years. She holds B.S. in Computer Engineering and M.S. in Industrial Engineering. She received her Ph.D. in Industrial and Systems Engineering from Binghamton University (SUNY). Her background and research interests are in quality and productivity improvement using statistical tools, lean methods and use of information technology in operations management. Her work is primarily in manufacturing and healthcare delivery operations.
Haven, CT. She obtained her Ph.D. in Mechanical Engineering from Georgia Tech in 2008. She receiv... more Haven, CT. She obtained her Ph.D. in Mechanical Engineering from Georgia Tech in 2008. She received her Bachelors of Engineering from MIT in 2000. Her research focuses on the nontraditional engineering student-understanding their motivations, identity development, and impact of prior engineering-related experiences. Her work dwells into learning in informal settings such as summer camps, military experiences, and extra-curricular activities. Other research interests involve validation of CFD models for aerospace applications as well as optimizing efficiency of thermal-fluid systems.
In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout... more In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout her academic career in Australia and Singapore, she had developed a very strong interest in learning psychology and educational measurement. She then opted for a second Ph.D. in educational psychology, specialized in measurement, evaluation and assessment at University of Connecticut. She earned her second Ph.D. in 2010. Li has a unique crossdisciplinary educational and research background in mechatronics engineering, specialized in control and robotics, and educational psychology, specialized in statistical analysis and program evaluation.
Haven Nadiye O. Erdil, an assistant professor of industrial and systems engineering and engineeri... more Haven Nadiye O. Erdil, an assistant professor of industrial and systems engineering and engineering and operations management at the University of New Haven. She has over eleven years of experience in higher education and has held several academic positions including administrative appointments. She has experience in teaching at the undergraduate and the graduate level. In addition to her academic work, Dr. Erdil worked as an engineer in sheet metal manufacturing and pipe fabrication industry for five years. She holds B.S. in Computer Engineering, M.S. in Industrial Engineering. She received her Ph.D. in Industrial and Systems Engineering from Binghamton University (SUNY). Her background and research interests are in quality and productivity improvement using statistical tools, lean methods and use of information technology in operations management. Her work is primarily in manufacturing and healthcare delivery operations.
International Journal of Quality and Service Sciences, Jun 12, 2019
Purpose-This study investigates to what extent QFD can be used in quality improvement rather than... more Purpose-This study investigates to what extent QFD can be used in quality improvement rather than design activities. Design/methodology/approach-A framework was developed for implementation of QFD as a quality improvement tool. A case study approach is used to test this framework, and quality issues were analyzed using the framework in a ceramic tile manufacturing company. Findings-The results showed considerable improvements in the critical quality characteristics identified and sales rates, demonstrating the potential of QFD to be used in assessing and prioritizing areas of improvement, and converting them into measurable process or product requirements. Research limitations/implications-One case study was completed. More studies would be beneficial to support current findings. Practical implications-This framework provides structured approach and guidelines for practitioners in adapting QFD for quality improvements in existing products or processes. Originality/value-This study proposes a new framework to use QFD in quality improvement activities, expanding its application areas. Moreover, the results of the literature study performed provide a valuable collection of practical QFD implementation examples. Keywords Quality function deployment (QFD), quality improvement, customer complaints, voice of customer (VOC), house of quality (HOQ) Paper type Research paper Service Mnfg .
Variation in a process can stem from one or more sources that are broadly categorized under 5 Ms:... more Variation in a process can stem from one or more sources that are broadly categorized under 5 Ms: man, machine, material, methods and measurements. This research focuses on process variation resulting from measurements and provides guidelines to implement attribute measurement system analysis (MSA) in healthcare. If the measurement contributes to the variation observed in the process, then it is difficult to separate the true process variation, and this could lead to bad decision-making. MSA determines how much of the observed variability is due to the measurement system. MSA has received significant attention to date, however, much research in this field focuses on variables (continuous) data and MSA finds vast applications in manufacturing. Attributes (discrete/qualitative) data is also abundant in many processes. In industries such as healthcare, attribute MSA can play an important role in identifying variation. Medical errors resulting from system or human errors could possibly be linked to measurement. In this paper, we discuss considerations and factors in application of attribute MSA in healthcare, describe key elements for successful implementation, and show why it is worth the effort. We, then provide guidelines to implement attribute MSA in healthcare setting
International Journal of Industrial Engineering-theory Applications and Practice, Feb 17, 2020
Risks have been in the forefront of supply chain management because of the exponential rise of na... more Risks have been in the forefront of supply chain management because of the exponential rise of natural disasters and the noticeable increase of supply chain disruptions. In oil and gas industry, risk events can be associated with consequences that might lead to fatalities and loss of millions of dollars. Therefore, effective risk management is vital for oil and gas companies. In this research, a framework that combines simulation and Bow-Tie risk modeling is proposed to study the disruption risks in oil and gas supply chains. The simulation model captures the flow of material and information and accounts for the dynamic interactions among the system components. Bow-Tie analysis is used to quantify the risks and their impact. A case study is provided to demonstrate the application of the proposed framework and to show its effectiveness as a decision-support tool that can be used in disruption risk management.
Increasing the efficiency of the healthcare system in the United States is an important subject d... more Increasing the efficiency of the healthcare system in the United States is an important subject due to rapidly rising costs. Among many propositions to improve the operation of the system, adoption of Electronic Health Records is widely discussed. This study uses a system dynamics methodology to develop a simulation model of the adoption process that will allow for the exploration of policies. This paper presents the development and the preliminary findings of this model.
Lean and Six Sigma, originated in the manufacturing industry, are popular quality and process imp... more Lean and Six Sigma, originated in the manufacturing industry, are popular quality and process improvement methodologies that have widespread applications in non-manufacturing settings. The literature suggests that healthcare is the leading industry among service sector in the number of articles published focusing on Lean/Six Sigma implementation. Furthermore, most efforts related to healthcare Lean/Six Sigma take place in hospitals. This study explores the trends in the use of Lean/Six Sigma tools at hospitals. Field data about the use of tools in terms of frequency, satisfaction and plans for future use were collected using a web survey. The results showed that hospitals utilize a large number of Lean/Six Sigma tools. There are also quite a few number of tools that have not yet been exploited but are being considered for future use
An innovative approach to develop an entrepreneurial mindset in all undergraduate engineering and... more An innovative approach to develop an entrepreneurial mindset in all undergraduate engineering and computer science students is being developed and implemented. The approach consists of the development of short e-learning modules on 18 entrepreneurial topics and the integration of these modules into regular courses in programs. A flipped classroom model is used along with contextual activities related to course content, in which students apply what they learned through the modules. The methodology addresses the credit constraints in engineering and computer science programs, the lack of instructor expertise in entrepreneurial topics, and constraints in classroom instruction time. Through a mini-grant program, six modules were deployed by 29 faculty at 24 institutions nationwide from spring 2016 to spring 2017, and 30 faculty, some from previous institutions, and others from an additional 18 institutions, deployed modules in 2017-18. Preliminary assessment of the effectiveness of the approach in developing an entrepreneurial mindset in students is presented.
is Dean of the Tagliatela College of Engineering and is the PI of the two grants entitled "Projec... more is Dean of the Tagliatela College of Engineering and is the PI of the two grants entitled "Project to Integrate Technical Communication Skills" and "Developing entrepreneurial thinking in engineering students by utilizing integrated online modules and experiential learning opportunities." Through these grants technical communication and entrepreneurial thinking skills are being integrated into courses spanning all four years in seven ABET accredited engineering and computer science BS programs.
In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout... more In 2006, she resigned from her faculty job and came to Connecticut for family reunion. Throughout her academic career in Australia and Singapore, she had developed a very strong interest in learning psychology and educational measurement. She then opted for a second Ph.D. in educational psychology, specialized in measurement, evaluation and assessment at University of Connecticut. She earned her second Ph.D. in 2010. Li has a unique cross-disciplinary educational and research background in mechatronics engineering, specialized in control and robotics, and educational psychology, specialized in statistical analysis and program evaluation.
The emphasis on the concept of sustainability in businesses and operations is growing either due ... more The emphasis on the concept of sustainability in businesses and operations is growing either due to increasing public interest, regulatory pressures, or corporate social responsibility. However, where and how to integrate sustainability needs further development for broadening its applications. Using Lean and Six Sigma (LSS) principles in sustainability studies is becoming popular in research and practice. The common approach in these studies is to identify a sustainability project followed by current state sustainability performance assessment, and then work towards improving sustainability performance using LSS tools. The goal of this study was to develop a model framework to fully embed sustainability into any LSS project building on current practices. The wide coverage of LSS, its effectiveness record, and its overlap with sustainability goals establish the foundation for expanding LSS methodology to include sustainability concepts. The proposed framework is not specific to an industry, but is intended to be applicable to the wide spectrum of projects where LSS can be applied. Examples were provided from manufacturing and construction industries in the study. The existing methodologies are framed to target only sustainability initiatives while the presented framework aims to integrate sustainability into any type of improvement initiative. Furthermore, existing methodologies focus almost solely on environmental and economic sustainability, whereas the presented study includes social dimension too. Both academicians and professionals will benefit from the presented framework as it provides a different perspective than what is found in literature enabling broader applications, together with concrete steps and examples demonstrating its implementation, use, and potential benefits.
Patients’ experience during their initial encounter with the provider’s services may adversely af... more Patients’ experience during their initial encounter with the provider’s services may adversely affect their satisfaction with subsequent care. Streamlined and standardized processes lead to efficient and effective operations, which ultimately result in higher quality of service to patients. This paper presents a case study using statistical tools and lean methods about improving business processes that contain point of access for the patient. The study was conducted in a neurosurgery department at a teaching hospital in New Haven. The neurosurgery department has five teams, which are spine, pediatric, neurovascular, oncology, and epilepsy; the spine team was selected for pilot implementation. Based on interviews and on site observations key business processes were identified. Then, factors that lead to process inefficiency such as loopbacks where a patient has to access the system more than once to receive the service requested or flaws in internal communication flow were studied through process mapping and historical call data analysis, and the results were used to determine staffing requirements to operate effectively, i.e. meet patient expectations. The implementation approach in the pilot study and the lessons learned during implementation provided basis for development of a model for implementation with the other five teams
2015 International Conference on Industrial Engineering and Operations Management (IEOM), 2015
In any manufacturing industry, one of the areas where business leadership can focus to achieve co... more In any manufacturing industry, one of the areas where business leadership can focus to achieve cost reduction is inventory management. Inventory ties up working capital which could be better employed elsewhere. The main problem in inventory management is to determine inventory levels and order raw materials and produce finished products accordingly. The goal of this paper is to present a simple framework developed to assist end-users in their decision making process for inventory control. The framework is based on time series oriented forecasting methods to select the reordering strategies for independent demand of a product for small manufacturing companies.
Improving operations has been essential for manufacturing companies in gaining competitive advant... more Improving operations has been essential for manufacturing companies in gaining competitive advantage especially when the industry was heavily geared towards adopting lean principles. In the age of smart factories, implementing improvement projects to achieve a better performance is no longer a matter of choice but a necessity for company competitiveness. While success in any single project is of utmost importance, selecting the right project to start the improvement initiatives is as equally important. Therefore, prioritizing projects is a critical and necessary step for any manager to ensure better outcomes. This paper presents a case study involving a large manufacturing company’s 3-months intensive efforts targeting product and process improvement. Several projects focusing on various areas in the manufacturing process have been defined, and lean and statistical process control (SPC) tools were chosen to support improvement activities. Selecting the order of implementation and the changes that had to be made along the way provided invaluable input in framing success factors, pitfalls and challenges in prioritizing improvement projects in traditional manufacturing plants. These elements and the impacts of the decisions made are depicted through detailed descriptions of two projects. The first project was about production layout, and the second project targeted tooling process. In both improvement efforts, lean methods were used primarily
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Papers by Nadiye Erdil