Safiye TURGAY | Sakarya University (original) (raw)

Papers by Safiye TURGAY

Industrial engineering and innovation management, Dec 31, 2022

Financial engineering and risk management, Dec 31, 2022

Journal of artificial intelligence practice, Dec 31, 2022

Digital manufacturing and process management, Dec 31, 2022

This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on... more This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on its potential to enhance the design and manufacturing structure. The paper begins by introducing the concept of digital twins and their role in bridging the gap between physical and virtual worlds. It emphasizes the benefits of real-time data synchronization and it enables continuous monitoring, analysis, and decision-making throughout the product lifecycle in detail. Next, the focus shifts to the integration of digital twin modelling into the CAD/CAM processes. The paper outlines the steps involved in creating a digital twin of the design and manufacturing structure, from data acquisition and integration to model calibration and validation. Special attention is given to ensuring the accuracy and fidelity of the digital twin to enable reliable simulation results. The paper then explores the various simulation capabilities offered by the digital twin model. It delves into the use of finite element analysis (FEA), computational fluid dynamics (CFD), and other simulation techniques to analyse product performance, optimize manufacturing processes, and assess structural integrity. Case studies demonstrate the application of digital twin simulations in improving design efficiency, reducing time-to-market, and enhancing overall product quality.

Industrial Engineering and Innovation Management

Job evaluation is a critical process in organizations, particularly in the manufacturing industry... more Job evaluation is a critical process in organizations, particularly in the manufacturing industry, where production roles play a vital role in overall operational success. Traditional job evaluation methods often rely on subjective judgments and can be prone to bias. This study considered the application of Fuzzy Cognitive Maps (FCMs) as a novel approach to job evaluation in the manufacturing industry. FCMs provide a framework to capture and represent the complex relationships and interdependencies between various job attributes and their impact on overall job performance. The objective of this empirical study is to demonstrate the effectiveness of FCMs in job evaluation for production roles in the manufacturing industry. The collected data will be used to construct FCMs, where nodes represent job attributes (e.g., technical skills, communication, problemsolving) and edges capture the strength and direction of relationships between attributes. The FCMs will be validated and calibrated using statistical techniques, ensuring their reliability and accuracy. The final evaluation framework will provide a quantitative method for assessing the relative importance of job attributes and determining the overall value of production roles within the organization.

Manufacturing and Service Operations Management

Cellular manufacturing is a process that groups similar machines, workstations, and processes in ... more Cellular manufacturing is a process that groups similar machines, workstations, and processes in a dedicated area to maximize efficiency and reduce production time. A well-designed cellular manufacturing facility layout can increase productivity and decrease manufacturing costs. To optimize the layout design of a cellular manufacturing facility, digital twin simulation can be used. Digital twin simulation involves creating a virtual replica of a physical system or process to simulate and optimize various scenarios. By utilizing digital twin simulation, manufacturers can identify potential bottlenecks, inefficiencies, and other issues that could impact design and leading to cost savings and increased productivity. This paper will explore the concept of maximizing efficiency and cost savings through digital twin simulation, specifically focusing on optimizing cellular manufacturing processes. The paper will discuss the benefits of digital twin simulation, provide examples of its applications in cellular manufacturing.

Manufacturing and Service Operations Management

This research paper explores the application of lean manufacturing techniques for process improve... more This research paper explores the application of lean manufacturing techniques for process improvement in the cable company. Lean manufacturing is a philosophy and methodology focused on eliminating waste and maximizing value-added activities in production processes. The cable industry faces various challenges, including complex production flows, high demand variability, and increasing customer expectations. Therefore, implementing lean manufacturing principles becomes crucial to enhance operational efficiency, reduce costs, and improve overall customer satisfaction. The paper begins by providing an overview of lean manufacturing principles, including the identification and elimination of various forms of waste such as overproduction, defects, waiting time, excessive inventory, and unnecessary motion. It highlights the importance of creating a culture of continuous improvement and engaging employees at all levels of the organization in the lean transformation process. Overall, this research paper provides a comprehensive approach to implementing lean manufacturing techniques in the cable company for process improvement. It serves as a valuable resource for managers, engineers, and practitioners in the cable industry seeking to enhance operational efficiency and achieve sustainable competitive advantage.

Digital Manufacturing and Process Management, 2023

This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on... more This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on its potential to enhance the design and manufacturing structure. The paper begins by introducing the concept of digital twins and their role in bridging the gap between physical and virtual worlds. It emphasizes the benefits of real-time data synchronization and it enables continuous monitoring, analysis, and decision-making throughout the product lifecycle in detail. Next, the focus shifts to the integration of digital twin modelling into the CAD/CAM processes. The paper outlines the steps involved in creating a digital twin of the design and manufacturing structure, from data acquisition and integration to model calibration and validation. Special attention is given to ensuring the accuracy and fidelity of the digital twin to enable reliable simulation results. The paper then explores the various simulation capabilities offered by the digital twin model. It delves into the use of finite element analysis (FEA), computational fluid dynamics (CFD), and other simulation techniques to analyse product performance, optimize manufacturing processes, and assess structural integrity. Case studies demonstrate the application of digital twin simulations in improving design efficiency, reducing time-to-market, and enhancing overall product quality.

Industrial Engineering and Innovation Management, 2023

This study delves into the critical aspect of supply chain management-optimal inventory allocatio... more This study delves into the critical aspect of supply chain management-optimal inventory allocation-for the fast-moving consumer goods (FMCG) industry. FMCG companies face the challenge of meeting dynamic customer demands while minimizing excess inventory costs. This abstract highlights key strategies employed by successful FMCG businesses to strike a balance between customer satisfaction and efficient inventory management. Moreover, for seasonal products, a tailored approach to inventory allocation is vital, allowing companies to adjust stock levels to match peak demand and prevent overstocking. The integration of advanced inventory management software facilitates realtime tracking, analysis, and decision-making, streamlining the inventory allocation process. By implementing these strategies and continually refining them based on real-world data, FMCG businesses can achieve optimal inventory allocation, leading to improved customer satisfaction, reduced costs, and an overall boost in supply chain efficiency. This study offers a comprehensive overview of inventory optimization techniques, aiming to assist FMCG companies in navigating the complexities of inventory management and remaining competitive in a fast-paced market.

I.J. Intelligent Systems and Applications, 2022

Recently, health management systems have some troubles such as insufficient sharing of medical da... more Recently, health management systems have some troubles such as insufficient sharing of medical data, security problems of shared information, tampering and leaking of private data with data modeling probes and developing technology. Local learning is performed together with federated learning and differential entropy method to prevent the leakage of medical confidential information, so blockchain-based learning is preferred to completely eliminate the possibility of leakage while in global learning. Qualitative and quantitative analysis of information can be made with information entropy technology for the effective and maximum use of medical data in the local learning process. The blockchain is used the distributed network structure and inherent security features, at the same time information is treated as a whole, not as islands of data. All the way through this work, data sharing between medical systems can be encouraged, access records tampered with, and better support medical research and definitive medical treatment. The M/M/1 queue for the memory pool and M/M/C queue to combine integrated blockchains with a unified learning structure. With the proposed model, the number of transactions per block, mining of each block, learning time, index operations per second, number of memory pools, waiting time in the memory pool, number of unconfirmed transactions in the whole system, total number of transactions were examined. Thanks to this study, the protection of the medical privacy information of the user during the service process and the autonomous management of the patient's own medical data will benefit the protection of privacy within the scope of medical data sharing. Motivated by this, proposed a blockchain and federated learning-based data management system able to develop in next studies.

Enhancing Trust in Supply Chain Management with a Blockchain Approach, 2023

Blockchain technology has the potential to significantly enhance trust in supply chain management... more Blockchain technology has the potential to significantly enhance trust in supply chain management by providing a secure and transparent system for recording and tracking transactions. A blockchain is essentially a distributed ledger that is maintained by a network of nodes, and each node holds a copy of the same ledger. Transactions validated and recorded by the nodes in the network, and once a transaction is recorded, it cannot be altered or deleted. One of the key benefits of using blockchain technology in supply chain management is the ability to provide end-to-end traceability of products. By using a blockchain-based system, every transaction that occurs within the supply chain can be recorded and tracked, allowing for greater transparency and accountability. This can help to reduce the risk of fraud, counterfeiting, and other illegal activities within the supply chain. By using a decentralized system for recording and tracking transactions, there is less need for intermediaries and intermediaries, which can reduce costs and increase the speed of transactions. Overall, blockchain technology has the potential to significantly enhance trust in supply chain management by providing a secure and transparent system for recording and tracking transactions. However, there are still some challenges that need to be addressed, such as interoperability between different blockchain systems, and the need for standardization of data formats and protocols.

International journal of intelligent systems and applications, Oct 8, 2022

Recently, health management systems have some troubles such as insufficient sharing of medical da... more Recently, health management systems have some troubles such as insufficient sharing of medical data, security problems of shared information, tampering and leaking of private data with data modeling probes and developing technology. Local learning is performed together with federated learning and differential entropy method to prevent the leakage of medical confidential information, so blockchain-based learning is preferred to completely eliminate the possibility of leakage while in global learning. Qualitative and quantitative analysis of information can be made with information entropy technology for the effective and maximum use of medical data in the local learning process. The blockchain is used the distributed network structure and inherent security features, at the same time information is treated as a whole, not as islands of data. All the way through this work, data sharing between medical systems can be encouraged, access records tampered with, and better support medical research and definitive medical treatment. The M/M/1 queue for the memory pool and M/M/C queue to combine integrated blockchains with a unified learning structure. With the proposed model, the number of transactions per block, mining of each block, learning time, index operations per second, number of memory pools, waiting time in the memory pool, number of unconfirmed transactions in the whole system, total number of transactions were examined. Thanks to this study, the protection of the medical privacy information of the user during the service process and the autonomous management of the patient's own medical data will benefit the protection of privacy within the scope of medical data sharing. Motivated by this, proposed a blockchain and federated learning-based data management system able to develop in next studies.

IGI Global eBooks, May 24, 2011

IGI Global eBooks, May 24, 2011

International journal of mathematical, engineering and management sciences, Dec 1, 2018

Facility layout design problem considers the departments' physcial layout design with area requir... more Facility layout design problem considers the departments' physcial layout design with area requirements in some restrictions such as material handling costs, remoteness and distance requests. Briefly, facility layout problem related to optimization of the layout costs and working conditions. This paper proposes a new multi objective simulated annealing algorithm for solving of the unequal area in layout design. Using of the different objective weights are generated with entropy approach and used in the alternative layout design. Multi objective function takes into the objective function and constraints. The suggested heuristic algorithm used the multi-objective parameters for initialization. Then prefered the entropy approach determines the weight of the objective functions. After the suggested improved simulated annealing approach applied to whole developed model. A multi-objective simulated annealing algorithm is implemented to increase the diversity and reduce the chance of getting layout conditions in local optima.

Authorea (Authorea), Apr 10, 2023

Journal of Intelligent Manufacturing, Aug 1, 2004

Since 1950s the techniques of Operations Research (OR) and Optimization have been utilized to inc... more Since 1950s the techniques of Operations Research (OR) and Optimization have been utilized to increase the ef®ciency of the production systems. With the widespread use of computers, it has even become easier to deal with industrial problems. However the complexity of the problems still reveals the dif®culty in providing solutions. The use of arti®cial intelligence (AI) seems to attract the attention of the researcher to overcome to the dif®culties. This has already been realized with several successful applications. In this study, the use of AI and OR techniques is compared using fuzzy logic. The progress of manufacturing systems, characteristics of production processes, system managements and system behavior are taken into account. The study is focussed on only discrete manufacturing.

Robotics and Computer-integrated Manufacturing, Apr 1, 2009

Future manufacturing systems will be integrated into the networks of distributed resources, and a... more Future manufacturing systems will be integrated into the networks of distributed resources, and at the same time, such systems will be capable of processing both knowledge and material. It will probably be required that manufacturing systems be agile, flexible, and fault-tolerant. Petri nets (PN) and objectoriented design (OOD) are used together in order to develop the integrated agent-based FMS control system. The flexible manufacturing system (FMS) consists of machines, workstations, and automated material handling system, distributed buffer storage sites and computer-based supervisory control, all which can be modeled as an agent in OOD with PN. This paper introduces the design of an agent-based FMS control system through PNs and evaluates the performance using timed placed Petri nets (TPPN). In order to do so, the agent control design, FMS structure has been evaluated in detail and the agent definitions have been submitted. The system includes the sharing and distribution of tasks among agents and the mentioned structure has been simulated by TPPN. The simulation procedure has been realized through Petri Net 2.0-MATLAB Demo Program [Mahulea CF, Motcovschi MH, Pastravanu O.

Computers & Industrial Engineering, Aug 1, 2015

This paper presents fuzzy goal programming using with exponential membership function, which uses... more This paper presents fuzzy goal programming using with exponential membership function, which uses the modeling, and solving of health care system for optimal efficient management. The limited human resources and budget in a health-care organization are described with fuzzy conditions for determine the future strategies for unknown situations. In this study, the exponential membership function is preferred dynamic situation in next period. The study aims to assign the resources for optimization with enable management to meet the fuzzy objective of minimizing the system costs while patients are satisfied. The fuzzy goals are identified and prioritized for the strategic planning and resource allocation. A fuzzy goal-programming model is illustrated using the data provided by a health-care organization in Turkey-Sakarya private hospital.

Industrial engineering and innovation management, Dec 31, 2022

Financial engineering and risk management, Dec 31, 2022

Journal of artificial intelligence practice, Dec 31, 2022

Digital manufacturing and process management, Dec 31, 2022

This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on... more This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on its potential to enhance the design and manufacturing structure. The paper begins by introducing the concept of digital twins and their role in bridging the gap between physical and virtual worlds. It emphasizes the benefits of real-time data synchronization and it enables continuous monitoring, analysis, and decision-making throughout the product lifecycle in detail. Next, the focus shifts to the integration of digital twin modelling into the CAD/CAM processes. The paper outlines the steps involved in creating a digital twin of the design and manufacturing structure, from data acquisition and integration to model calibration and validation. Special attention is given to ensuring the accuracy and fidelity of the digital twin to enable reliable simulation results. The paper then explores the various simulation capabilities offered by the digital twin model. It delves into the use of finite element analysis (FEA), computational fluid dynamics (CFD), and other simulation techniques to analyse product performance, optimize manufacturing processes, and assess structural integrity. Case studies demonstrate the application of digital twin simulations in improving design efficiency, reducing time-to-market, and enhancing overall product quality.

Industrial Engineering and Innovation Management

Job evaluation is a critical process in organizations, particularly in the manufacturing industry... more Job evaluation is a critical process in organizations, particularly in the manufacturing industry, where production roles play a vital role in overall operational success. Traditional job evaluation methods often rely on subjective judgments and can be prone to bias. This study considered the application of Fuzzy Cognitive Maps (FCMs) as a novel approach to job evaluation in the manufacturing industry. FCMs provide a framework to capture and represent the complex relationships and interdependencies between various job attributes and their impact on overall job performance. The objective of this empirical study is to demonstrate the effectiveness of FCMs in job evaluation for production roles in the manufacturing industry. The collected data will be used to construct FCMs, where nodes represent job attributes (e.g., technical skills, communication, problemsolving) and edges capture the strength and direction of relationships between attributes. The FCMs will be validated and calibrated using statistical techniques, ensuring their reliability and accuracy. The final evaluation framework will provide a quantitative method for assessing the relative importance of job attributes and determining the overall value of production roles within the organization.

Manufacturing and Service Operations Management

Cellular manufacturing is a process that groups similar machines, workstations, and processes in ... more Cellular manufacturing is a process that groups similar machines, workstations, and processes in a dedicated area to maximize efficiency and reduce production time. A well-designed cellular manufacturing facility layout can increase productivity and decrease manufacturing costs. To optimize the layout design of a cellular manufacturing facility, digital twin simulation can be used. Digital twin simulation involves creating a virtual replica of a physical system or process to simulate and optimize various scenarios. By utilizing digital twin simulation, manufacturers can identify potential bottlenecks, inefficiencies, and other issues that could impact design and leading to cost savings and increased productivity. This paper will explore the concept of maximizing efficiency and cost savings through digital twin simulation, specifically focusing on optimizing cellular manufacturing processes. The paper will discuss the benefits of digital twin simulation, provide examples of its applications in cellular manufacturing.

Manufacturing and Service Operations Management

This research paper explores the application of lean manufacturing techniques for process improve... more This research paper explores the application of lean manufacturing techniques for process improvement in the cable company. Lean manufacturing is a philosophy and methodology focused on eliminating waste and maximizing value-added activities in production processes. The cable industry faces various challenges, including complex production flows, high demand variability, and increasing customer expectations. Therefore, implementing lean manufacturing principles becomes crucial to enhance operational efficiency, reduce costs, and improve overall customer satisfaction. The paper begins by providing an overview of lean manufacturing principles, including the identification and elimination of various forms of waste such as overproduction, defects, waiting time, excessive inventory, and unnecessary motion. It highlights the importance of creating a culture of continuous improvement and engaging employees at all levels of the organization in the lean transformation process. Overall, this research paper provides a comprehensive approach to implementing lean manufacturing techniques in the cable company for process improvement. It serves as a valuable resource for managers, engineers, and practitioners in the cable industry seeking to enhance operational efficiency and achieve sustainable competitive advantage.

Digital Manufacturing and Process Management, 2023

This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on... more This paper explores the application of digital twin technology in the CAD/CAM domain, focusing on its potential to enhance the design and manufacturing structure. The paper begins by introducing the concept of digital twins and their role in bridging the gap between physical and virtual worlds. It emphasizes the benefits of real-time data synchronization and it enables continuous monitoring, analysis, and decision-making throughout the product lifecycle in detail. Next, the focus shifts to the integration of digital twin modelling into the CAD/CAM processes. The paper outlines the steps involved in creating a digital twin of the design and manufacturing structure, from data acquisition and integration to model calibration and validation. Special attention is given to ensuring the accuracy and fidelity of the digital twin to enable reliable simulation results. The paper then explores the various simulation capabilities offered by the digital twin model. It delves into the use of finite element analysis (FEA), computational fluid dynamics (CFD), and other simulation techniques to analyse product performance, optimize manufacturing processes, and assess structural integrity. Case studies demonstrate the application of digital twin simulations in improving design efficiency, reducing time-to-market, and enhancing overall product quality.

Industrial Engineering and Innovation Management, 2023

This study delves into the critical aspect of supply chain management-optimal inventory allocatio... more This study delves into the critical aspect of supply chain management-optimal inventory allocation-for the fast-moving consumer goods (FMCG) industry. FMCG companies face the challenge of meeting dynamic customer demands while minimizing excess inventory costs. This abstract highlights key strategies employed by successful FMCG businesses to strike a balance between customer satisfaction and efficient inventory management. Moreover, for seasonal products, a tailored approach to inventory allocation is vital, allowing companies to adjust stock levels to match peak demand and prevent overstocking. The integration of advanced inventory management software facilitates realtime tracking, analysis, and decision-making, streamlining the inventory allocation process. By implementing these strategies and continually refining them based on real-world data, FMCG businesses can achieve optimal inventory allocation, leading to improved customer satisfaction, reduced costs, and an overall boost in supply chain efficiency. This study offers a comprehensive overview of inventory optimization techniques, aiming to assist FMCG companies in navigating the complexities of inventory management and remaining competitive in a fast-paced market.

I.J. Intelligent Systems and Applications, 2022

Recently, health management systems have some troubles such as insufficient sharing of medical da... more Recently, health management systems have some troubles such as insufficient sharing of medical data, security problems of shared information, tampering and leaking of private data with data modeling probes and developing technology. Local learning is performed together with federated learning and differential entropy method to prevent the leakage of medical confidential information, so blockchain-based learning is preferred to completely eliminate the possibility of leakage while in global learning. Qualitative and quantitative analysis of information can be made with information entropy technology for the effective and maximum use of medical data in the local learning process. The blockchain is used the distributed network structure and inherent security features, at the same time information is treated as a whole, not as islands of data. All the way through this work, data sharing between medical systems can be encouraged, access records tampered with, and better support medical research and definitive medical treatment. The M/M/1 queue for the memory pool and M/M/C queue to combine integrated blockchains with a unified learning structure. With the proposed model, the number of transactions per block, mining of each block, learning time, index operations per second, number of memory pools, waiting time in the memory pool, number of unconfirmed transactions in the whole system, total number of transactions were examined. Thanks to this study, the protection of the medical privacy information of the user during the service process and the autonomous management of the patient's own medical data will benefit the protection of privacy within the scope of medical data sharing. Motivated by this, proposed a blockchain and federated learning-based data management system able to develop in next studies.

Enhancing Trust in Supply Chain Management with a Blockchain Approach, 2023

Blockchain technology has the potential to significantly enhance trust in supply chain management... more Blockchain technology has the potential to significantly enhance trust in supply chain management by providing a secure and transparent system for recording and tracking transactions. A blockchain is essentially a distributed ledger that is maintained by a network of nodes, and each node holds a copy of the same ledger. Transactions validated and recorded by the nodes in the network, and once a transaction is recorded, it cannot be altered or deleted. One of the key benefits of using blockchain technology in supply chain management is the ability to provide end-to-end traceability of products. By using a blockchain-based system, every transaction that occurs within the supply chain can be recorded and tracked, allowing for greater transparency and accountability. This can help to reduce the risk of fraud, counterfeiting, and other illegal activities within the supply chain. By using a decentralized system for recording and tracking transactions, there is less need for intermediaries and intermediaries, which can reduce costs and increase the speed of transactions. Overall, blockchain technology has the potential to significantly enhance trust in supply chain management by providing a secure and transparent system for recording and tracking transactions. However, there are still some challenges that need to be addressed, such as interoperability between different blockchain systems, and the need for standardization of data formats and protocols.

International journal of intelligent systems and applications, Oct 8, 2022

Recently, health management systems have some troubles such as insufficient sharing of medical da... more Recently, health management systems have some troubles such as insufficient sharing of medical data, security problems of shared information, tampering and leaking of private data with data modeling probes and developing technology. Local learning is performed together with federated learning and differential entropy method to prevent the leakage of medical confidential information, so blockchain-based learning is preferred to completely eliminate the possibility of leakage while in global learning. Qualitative and quantitative analysis of information can be made with information entropy technology for the effective and maximum use of medical data in the local learning process. The blockchain is used the distributed network structure and inherent security features, at the same time information is treated as a whole, not as islands of data. All the way through this work, data sharing between medical systems can be encouraged, access records tampered with, and better support medical research and definitive medical treatment. The M/M/1 queue for the memory pool and M/M/C queue to combine integrated blockchains with a unified learning structure. With the proposed model, the number of transactions per block, mining of each block, learning time, index operations per second, number of memory pools, waiting time in the memory pool, number of unconfirmed transactions in the whole system, total number of transactions were examined. Thanks to this study, the protection of the medical privacy information of the user during the service process and the autonomous management of the patient's own medical data will benefit the protection of privacy within the scope of medical data sharing. Motivated by this, proposed a blockchain and federated learning-based data management system able to develop in next studies.

IGI Global eBooks, May 24, 2011

IGI Global eBooks, May 24, 2011

International journal of mathematical, engineering and management sciences, Dec 1, 2018

Facility layout design problem considers the departments' physcial layout design with area requir... more Facility layout design problem considers the departments' physcial layout design with area requirements in some restrictions such as material handling costs, remoteness and distance requests. Briefly, facility layout problem related to optimization of the layout costs and working conditions. This paper proposes a new multi objective simulated annealing algorithm for solving of the unequal area in layout design. Using of the different objective weights are generated with entropy approach and used in the alternative layout design. Multi objective function takes into the objective function and constraints. The suggested heuristic algorithm used the multi-objective parameters for initialization. Then prefered the entropy approach determines the weight of the objective functions. After the suggested improved simulated annealing approach applied to whole developed model. A multi-objective simulated annealing algorithm is implemented to increase the diversity and reduce the chance of getting layout conditions in local optima.

Authorea (Authorea), Apr 10, 2023

Journal of Intelligent Manufacturing, Aug 1, 2004

Since 1950s the techniques of Operations Research (OR) and Optimization have been utilized to inc... more Since 1950s the techniques of Operations Research (OR) and Optimization have been utilized to increase the ef®ciency of the production systems. With the widespread use of computers, it has even become easier to deal with industrial problems. However the complexity of the problems still reveals the dif®culty in providing solutions. The use of arti®cial intelligence (AI) seems to attract the attention of the researcher to overcome to the dif®culties. This has already been realized with several successful applications. In this study, the use of AI and OR techniques is compared using fuzzy logic. The progress of manufacturing systems, characteristics of production processes, system managements and system behavior are taken into account. The study is focussed on only discrete manufacturing.

Robotics and Computer-integrated Manufacturing, Apr 1, 2009

Future manufacturing systems will be integrated into the networks of distributed resources, and a... more Future manufacturing systems will be integrated into the networks of distributed resources, and at the same time, such systems will be capable of processing both knowledge and material. It will probably be required that manufacturing systems be agile, flexible, and fault-tolerant. Petri nets (PN) and objectoriented design (OOD) are used together in order to develop the integrated agent-based FMS control system. The flexible manufacturing system (FMS) consists of machines, workstations, and automated material handling system, distributed buffer storage sites and computer-based supervisory control, all which can be modeled as an agent in OOD with PN. This paper introduces the design of an agent-based FMS control system through PNs and evaluates the performance using timed placed Petri nets (TPPN). In order to do so, the agent control design, FMS structure has been evaluated in detail and the agent definitions have been submitted. The system includes the sharing and distribution of tasks among agents and the mentioned structure has been simulated by TPPN. The simulation procedure has been realized through Petri Net 2.0-MATLAB Demo Program [Mahulea CF, Motcovschi MH, Pastravanu O.

Computers & Industrial Engineering, Aug 1, 2015

This paper presents fuzzy goal programming using with exponential membership function, which uses... more This paper presents fuzzy goal programming using with exponential membership function, which uses the modeling, and solving of health care system for optimal efficient management. The limited human resources and budget in a health-care organization are described with fuzzy conditions for determine the future strategies for unknown situations. In this study, the exponential membership function is preferred dynamic situation in next period. The study aims to assign the resources for optimization with enable management to meet the fuzzy objective of minimizing the system costs while patients are satisfied. The fuzzy goals are identified and prioritized for the strategic planning and resource allocation. A fuzzy goal-programming model is illustrated using the data provided by a health-care organization in Turkey-Sakarya private hospital.