The Experts below are selected from a list of 242307 Experts worldwide ranked by ideXlab platform
Qian Wang - One of the best experts on this subject based on the ideXlab platform.
-
A sustainable Manufacturing System design: A fuzzy multi-objective optimization model
Environmental Science and Pollution Research, 2018Co-Authors: Reda Nujoom, Ahmed Mohammed, Qian WangAbstract:In the past decade, there has been a growing concern about the environmental protection in public society as governments almost all over the world have initiated certain rules and regulations to promote energy saving and minimize the production of carbon dioxide (CO_2) emissions in many Manufacturing industries. The development of sustainable Manufacturing Systems is considered as one of the effective solutions to minimize the environmental impact. Lean approach is also considered as a proper method for achieving sustainability as it can reduce Manufacturing wastes and increase the System efficiency and productivity. However, the lean approach does not include environmental waste of such as energy consumption and CO_2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design considering a measurement of energy consumption and CO_2 emissions using different sources of energy (oil as direct energy source to generate thermal energy and oil or solar as indirect energy source to generate electricity). To this aim, a multi-objective mathematical model is developed incorporating the economic and ecological constraints aimed for minimization of the total cost, energy consumption, and CO_2 emissions for a Manufacturing System design. For the real world scenario, the uncertainty in a number of input parameters was handled through the development of a fuzzy multi-objective model. The study also addresses decision-making in the number of machines, the number of air-conditioning units, and the number of bulbs involved in each process of a Manufacturing System in conjunction with a quantity of material flow for processed products. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model using the fuzzy multi-objective approach.
-
Optimisation of a sustainable Manufacturing System design using the multi-objective approach
The International Journal of Advanced Manufacturing Technology, 2018Co-Authors: Reda Nujoom, Qian Wang, Ahmed MohammedAbstract:A sustainable Manufacturing System design can be defined as a process aimed at minimising the negative aspect of both economic and ecological costs. This may be partially achieved through the implementation of lean Manufacturing methods in order to reduce production wastes, increase efficiency of Manufacturing Systems and minimise operational costs. Nevertheless, the concept of lean methods does not include environmental considerations in terms of such as energy consumption and CO2 (carbon dioxide) emissions, which are also important factors today for developing a sustainable Manufacturing System. This paper addresses these issues involved in modelling a sustainable Manufacturing System allowing an evaluation in energy consumption and CO2 emissions against the total cost using the multi-objective approach. In this work, a multi-objective mathematical model was developed based on a Manufacturing System incorporating its economic and ecological parameters towards a minimisation of the total cost, the total energy consumption and CO2 emissions associated with relevant machines, air-conditioning units and lighting bulbs involved in each Manufacturing process and material flow. The model was coded using LINGO11 to help gain optimal solutions using the e-constraint approach and the LP-metrics approach, respectively. The best solution among obtained optimal results was revealed using the max-min approach. Applicability of the proposed method was also examined using collected data from a real case study. The study concluded that the multi-objective mathematical model was useful as an aid for optimizing the Manufacturing System design under the economic and ecological constraints.
-
ICAC - Towards a sustainable Manufacturing System design: A multi-objective optimization model
2017 23rd International Conference on Automation and Computing (ICAC), 2017Co-Authors: Reda Nujoom, Qian Wang, Ahmed MohammedAbstract:Developments of sustainable Manufacturing Systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable Manufacturing System can be partially achieved through the implementation of lean methods to reduce Manufacturing wastes and operational costs, and increase the System efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO 2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design considering energy consumption, CO 2 emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO 2 emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a Manufacturing System. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model.
-
The multi-objective optimization model for a sustainable Manufacturing System design
2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), 2016Co-Authors: Reda Nujoom, Ahmed Mohammed, Qian Wang, Nick BennettAbstract:In the past decade, there has been a growing concern about the environmental protection in the public society as governments in many countries have been enforcing ever-stricter environmental policies and regulations in industry by promoting energy saving and low carbon dioxide (CO 2 ) emissions in Manufacturing activities. Development of sustainable Manufacturing Systems is considered as one of effective solutions to minimize the environmental impact. Lean Manufacturing can also be helpful for achieving a sustainable Manufacturing System as it can reduce production wastes and increase Manufacturing efficiency. Nevertheless, the lean approach does not include a consideration in energy consumption and CO 2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design by considering a measurement of energy consumption and CO 2 emissions. To this aim, a multi-objective mathematical model is developed incorporating the economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO 2 emissions for a Manufacturing System design. The study also addresses a decision making in the number of machines, the number of air conditioning units and the number of bulbs involved in each process of the Manufacturing System in conjunction with a quantity of material flow for processing the products. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model.
Reda Nujoom - One of the best experts on this subject based on the ideXlab platform.
-
A sustainable Manufacturing System design: A fuzzy multi-objective optimization model
Environmental Science and Pollution Research, 2018Co-Authors: Reda Nujoom, Ahmed Mohammed, Qian WangAbstract:In the past decade, there has been a growing concern about the environmental protection in public society as governments almost all over the world have initiated certain rules and regulations to promote energy saving and minimize the production of carbon dioxide (CO_2) emissions in many Manufacturing industries. The development of sustainable Manufacturing Systems is considered as one of the effective solutions to minimize the environmental impact. Lean approach is also considered as a proper method for achieving sustainability as it can reduce Manufacturing wastes and increase the System efficiency and productivity. However, the lean approach does not include environmental waste of such as energy consumption and CO_2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design considering a measurement of energy consumption and CO_2 emissions using different sources of energy (oil as direct energy source to generate thermal energy and oil or solar as indirect energy source to generate electricity). To this aim, a multi-objective mathematical model is developed incorporating the economic and ecological constraints aimed for minimization of the total cost, energy consumption, and CO_2 emissions for a Manufacturing System design. For the real world scenario, the uncertainty in a number of input parameters was handled through the development of a fuzzy multi-objective model. The study also addresses decision-making in the number of machines, the number of air-conditioning units, and the number of bulbs involved in each process of a Manufacturing System in conjunction with a quantity of material flow for processed products. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model using the fuzzy multi-objective approach.
-
Optimisation of a sustainable Manufacturing System design using the multi-objective approach
The International Journal of Advanced Manufacturing Technology, 2018Co-Authors: Reda Nujoom, Qian Wang, Ahmed MohammedAbstract:A sustainable Manufacturing System design can be defined as a process aimed at minimising the negative aspect of both economic and ecological costs. This may be partially achieved through the implementation of lean Manufacturing methods in order to reduce production wastes, increase efficiency of Manufacturing Systems and minimise operational costs. Nevertheless, the concept of lean methods does not include environmental considerations in terms of such as energy consumption and CO2 (carbon dioxide) emissions, which are also important factors today for developing a sustainable Manufacturing System. This paper addresses these issues involved in modelling a sustainable Manufacturing System allowing an evaluation in energy consumption and CO2 emissions against the total cost using the multi-objective approach. In this work, a multi-objective mathematical model was developed based on a Manufacturing System incorporating its economic and ecological parameters towards a minimisation of the total cost, the total energy consumption and CO2 emissions associated with relevant machines, air-conditioning units and lighting bulbs involved in each Manufacturing process and material flow. The model was coded using LINGO11 to help gain optimal solutions using the e-constraint approach and the LP-metrics approach, respectively. The best solution among obtained optimal results was revealed using the max-min approach. Applicability of the proposed method was also examined using collected data from a real case study. The study concluded that the multi-objective mathematical model was useful as an aid for optimizing the Manufacturing System design under the economic and ecological constraints.
-
ICAC - Towards a sustainable Manufacturing System design: A multi-objective optimization model
2017 23rd International Conference on Automation and Computing (ICAC), 2017Co-Authors: Reda Nujoom, Qian Wang, Ahmed MohammedAbstract:Developments of sustainable Manufacturing Systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable Manufacturing System can be partially achieved through the implementation of lean methods to reduce Manufacturing wastes and operational costs, and increase the System efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO 2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design considering energy consumption, CO 2 emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO 2 emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a Manufacturing System. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model.
-
The multi-objective optimization model for a sustainable Manufacturing System design
2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), 2016Co-Authors: Reda Nujoom, Ahmed Mohammed, Qian Wang, Nick BennettAbstract:In the past decade, there has been a growing concern about the environmental protection in the public society as governments in many countries have been enforcing ever-stricter environmental policies and regulations in industry by promoting energy saving and low carbon dioxide (CO 2 ) emissions in Manufacturing activities. Development of sustainable Manufacturing Systems is considered as one of effective solutions to minimize the environmental impact. Lean Manufacturing can also be helpful for achieving a sustainable Manufacturing System as it can reduce production wastes and increase Manufacturing efficiency. Nevertheless, the lean approach does not include a consideration in energy consumption and CO 2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design by considering a measurement of energy consumption and CO 2 emissions. To this aim, a multi-objective mathematical model is developed incorporating the economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO 2 emissions for a Manufacturing System design. The study also addresses a decision making in the number of machines, the number of air conditioning units and the number of bulbs involved in each process of the Manufacturing System in conjunction with a quantity of material flow for processing the products. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model.
Ahmed Mohammed - One of the best experts on this subject based on the ideXlab platform.
-
A sustainable Manufacturing System design: A fuzzy multi-objective optimization model
Environmental Science and Pollution Research, 2018Co-Authors: Reda Nujoom, Ahmed Mohammed, Qian WangAbstract:In the past decade, there has been a growing concern about the environmental protection in public society as governments almost all over the world have initiated certain rules and regulations to promote energy saving and minimize the production of carbon dioxide (CO_2) emissions in many Manufacturing industries. The development of sustainable Manufacturing Systems is considered as one of the effective solutions to minimize the environmental impact. Lean approach is also considered as a proper method for achieving sustainability as it can reduce Manufacturing wastes and increase the System efficiency and productivity. However, the lean approach does not include environmental waste of such as energy consumption and CO_2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design considering a measurement of energy consumption and CO_2 emissions using different sources of energy (oil as direct energy source to generate thermal energy and oil or solar as indirect energy source to generate electricity). To this aim, a multi-objective mathematical model is developed incorporating the economic and ecological constraints aimed for minimization of the total cost, energy consumption, and CO_2 emissions for a Manufacturing System design. For the real world scenario, the uncertainty in a number of input parameters was handled through the development of a fuzzy multi-objective model. The study also addresses decision-making in the number of machines, the number of air-conditioning units, and the number of bulbs involved in each process of a Manufacturing System in conjunction with a quantity of material flow for processed products. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model using the fuzzy multi-objective approach.
-
Optimisation of a sustainable Manufacturing System design using the multi-objective approach
The International Journal of Advanced Manufacturing Technology, 2018Co-Authors: Reda Nujoom, Qian Wang, Ahmed MohammedAbstract:A sustainable Manufacturing System design can be defined as a process aimed at minimising the negative aspect of both economic and ecological costs. This may be partially achieved through the implementation of lean Manufacturing methods in order to reduce production wastes, increase efficiency of Manufacturing Systems and minimise operational costs. Nevertheless, the concept of lean methods does not include environmental considerations in terms of such as energy consumption and CO2 (carbon dioxide) emissions, which are also important factors today for developing a sustainable Manufacturing System. This paper addresses these issues involved in modelling a sustainable Manufacturing System allowing an evaluation in energy consumption and CO2 emissions against the total cost using the multi-objective approach. In this work, a multi-objective mathematical model was developed based on a Manufacturing System incorporating its economic and ecological parameters towards a minimisation of the total cost, the total energy consumption and CO2 emissions associated with relevant machines, air-conditioning units and lighting bulbs involved in each Manufacturing process and material flow. The model was coded using LINGO11 to help gain optimal solutions using the e-constraint approach and the LP-metrics approach, respectively. The best solution among obtained optimal results was revealed using the max-min approach. Applicability of the proposed method was also examined using collected data from a real case study. The study concluded that the multi-objective mathematical model was useful as an aid for optimizing the Manufacturing System design under the economic and ecological constraints.
-
ICAC - Towards a sustainable Manufacturing System design: A multi-objective optimization model
2017 23rd International Conference on Automation and Computing (ICAC), 2017Co-Authors: Reda Nujoom, Qian Wang, Ahmed MohammedAbstract:Developments of sustainable Manufacturing Systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable Manufacturing System can be partially achieved through the implementation of lean methods to reduce Manufacturing wastes and operational costs, and increase the System efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO 2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design considering energy consumption, CO 2 emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO 2 emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a Manufacturing System. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model.
-
The multi-objective optimization model for a sustainable Manufacturing System design
2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), 2016Co-Authors: Reda Nujoom, Ahmed Mohammed, Qian Wang, Nick BennettAbstract:In the past decade, there has been a growing concern about the environmental protection in the public society as governments in many countries have been enforcing ever-stricter environmental policies and regulations in industry by promoting energy saving and low carbon dioxide (CO 2 ) emissions in Manufacturing activities. Development of sustainable Manufacturing Systems is considered as one of effective solutions to minimize the environmental impact. Lean Manufacturing can also be helpful for achieving a sustainable Manufacturing System as it can reduce production wastes and increase Manufacturing efficiency. Nevertheless, the lean approach does not include a consideration in energy consumption and CO 2 emissions when designing a lean Manufacturing System. This paper addresses these issues by evaluating a sustainable Manufacturing System design by considering a measurement of energy consumption and CO 2 emissions. To this aim, a multi-objective mathematical model is developed incorporating the economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO 2 emissions for a Manufacturing System design. The study also addresses a decision making in the number of machines, the number of air conditioning units and the number of bulbs involved in each process of the Manufacturing System in conjunction with a quantity of material flow for processing the products. A real case study was used for examining the validation and applicability of the developed sustainable Manufacturing System model.
Eric Niel - One of the best experts on this subject based on the ideXlab platform.
-
Modular supervisory control of an experimental automated Manufacturing System
Control Engineering Practice, 2004Co-Authors: Mustapha Nourelfath, Eric NielAbstract:An application of modular supervisory control theory to an experimental automated Manufacturing System is presented. The proposed application approach is based on three main steps: (i) the modeling of the plant basic control and behavioral specifications in the form of automata; (ii) the automatic synthesis of modular non-conflicting supervisors using a computer tool; and (iii) the implementation of the designed supervisory control. This approach guarantees that the Manufacturing System closed loop behaviors do not contradict the considered specifications and are non-blocking. It also guarantees that the supervised behaviors are maximally permissive within the behavioral specifications.
Nicolas Perry - One of the best experts on this subject based on the ideXlab platform.
-
Reconfigurable Manufacturing System Design
2014Co-Authors: Thecle Alix, Youssef Benama, Nicolas PerryAbstract:Mobile Manufacturing is an enabler to increase the possibility to change and to adapt to altering needs, where the geographical position is not fixed. The main idea with the mobile Manufacturing concept is to easily and quickly reuse Manufacturing capacities between different orders or projects. This paper examines the concept of mobile Manufacturing System by addressing issues related to Manufacturing System mobility management. Review of reconfigurable Manufacturing System is conducted. Issues as reconfigurable Manufacturing System design in the special context of multi-site environment are discussed.
-
Reconfigurable Manufacturing System design: The case of mobile Manufacturing System
2014Co-Authors: Youssef Benama, Thecle Alix, Nicolas PerryAbstract:Mobile Manufacturing is an enabler to increase the possibility to change and to adapt to altering needs, where the geographical position is not fixed. The main idea with the mobile Manufacturing concept is to easily and quickly reuse Manufacturing capacities between different orders or projects. This paper examines the concept of mobile Manufacturing System by addressing issues related to Manufacturing System mobility management. Review of reconfigurable Manufacturing System is conducted. Issues as reconfigurable Manufacturing System design and the make or buy problem in the special context of multi-site environment are discussed.
-
APMS (3) - Reconfigurable Manufacturing System design: The case of mobile Manufacturing System
Progress in Pattern Recognition Image Analysis Computer Vision and Applications, 2014Co-Authors: Thecle Alix, Youssef Benama, Nicolas PerryAbstract:Mobile Manufacturing is an enabler to increase the possibility to change and to adapt to altering needs, where the geographical position is not fixed. The main idea with the mobile Manufacturing concept is to easily and quickly reuse Manufacturing capacities between different orders or projects. This paper examines the concept of mobile Manufacturing System by addressing issues related to Manufacturing System mobility management. Review of reconfigurable Manufacturing System is conducted. Issues as reconfigurable Manufacturing System design in the special context of multi-site environment are discussed.
