The productivity of an organization is very much affected by non-value adding activity like logis... more The productivity of an organization is very much affected by non-value adding activity like logistics , which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.
ABSTRACT
This paper presents four different hybrid genetic algorithms for network design problem ... more ABSTRACT This paper presents four different hybrid genetic algorithms for network design problem in closed loop supply chain. They are compared using a complete factorial experiment with two factors, viz. problem size and algorithm. Based on the significance of the factor “algorithm”, the best algorithm is identified using Duncan’s multiple range test. Then it is compared with a mathematical model in terms of total cost. It is found that the best hybrid genetic algorithm identified gives results on par with the mathematical model in statistical terms. So, the best algorithm out of four algorithm proposed in this paper is proved to be superior to all other algorithms for all sizes of problems and its performance is equal to that of the mathematical model for small size and medium size problems. KEYWORDS Closed Loop Supply Chain, Genetic Algorithms, HGA, Meta-Heuristics, MINLP, Model, Network Design, Optimization
The integration of entire supply and value chain into a closed loop network is gaining more impor... more The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.
The productivity of an organization is very much affected by non-value adding activity like logis... more The productivity of an organization is very much affected by non-value adding activity like logistics,
which moves the resources from suppliers to factory, raw materials/semi-finished items
within the factory and finished goods from factory to customers via a designated distribution
channel called as forward logistics. In some cases, parts of the products such as automobiles,
computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and
empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery
strategy through reverse logistics network which is integrated in a sustainable closed loop supply
chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics
network. This paper gives a comprehensive review of literature of the design of networks for
the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions
of the researchers are classified into nine categories based on the methods used to design
the logistics network.
International Journal of Services, Economics and Management, 2010
... CN Vijeyamurthy is an Assistant Professor in the Department of Management, Pallavan College o... more ... CN Vijeyamurthy is an Assistant Professor in the Department of Management, Pallavan College of Engineering, Kancheepuram, India. ... Panneerselvam and Balasubramanian (1985) have developed a set covering heuristic to determine the economical number of manufacturing ...
This research paper deals with the implementation of suitable meta-heuristic for the closed loop ... more This research paper deals with the implementation of suitable meta-heuristic for the closed loop supply chain network design problem of a fashion product industry. First, the paper presents a comprehensive literature review on the applications of reverse and closed loop supply chain network design problems in Fashion Footwear Industry. The research work employs the case study approach to implement the model and algorithm. Closed loop supply chain network design problem of a Fashion Footwear Industry in South India is studied and considered for the purpose. Then it deals with the application of mathematical model and a suitable hybrid genetic algorithm (HGA) developed for the CLSC network design problem of the Industry this research. The MINLP model and suitable HGA developed are implemented in the industrial case as per the reverse supply chain process conditions and model adopted in the respective closed loop supply chain and the results are presented.
The productivity of an organization is very much affected by non-value adding activity like logis... more The productivity of an organization is very much affected by non-value adding activity like logistics , which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.
ABSTRACT
This paper presents four different hybrid genetic algorithms for network design problem ... more ABSTRACT This paper presents four different hybrid genetic algorithms for network design problem in closed loop supply chain. They are compared using a complete factorial experiment with two factors, viz. problem size and algorithm. Based on the significance of the factor “algorithm”, the best algorithm is identified using Duncan’s multiple range test. Then it is compared with a mathematical model in terms of total cost. It is found that the best hybrid genetic algorithm identified gives results on par with the mathematical model in statistical terms. So, the best algorithm out of four algorithm proposed in this paper is proved to be superior to all other algorithms for all sizes of problems and its performance is equal to that of the mathematical model for small size and medium size problems. KEYWORDS Closed Loop Supply Chain, Genetic Algorithms, HGA, Meta-Heuristics, MINLP, Model, Network Design, Optimization
The integration of entire supply and value chain into a closed loop network is gaining more impor... more The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.
The productivity of an organization is very much affected by non-value adding activity like logis... more The productivity of an organization is very much affected by non-value adding activity like logistics,
which moves the resources from suppliers to factory, raw materials/semi-finished items
within the factory and finished goods from factory to customers via a designated distribution
channel called as forward logistics. In some cases, parts of the products such as automobiles,
computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and
empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery
strategy through reverse logistics network which is integrated in a sustainable closed loop supply
chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics
network. This paper gives a comprehensive review of literature of the design of networks for
the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions
of the researchers are classified into nine categories based on the methods used to design
the logistics network.
International Journal of Services, Economics and Management, 2010
... CN Vijeyamurthy is an Assistant Professor in the Department of Management, Pallavan College o... more ... CN Vijeyamurthy is an Assistant Professor in the Department of Management, Pallavan College of Engineering, Kancheepuram, India. ... Panneerselvam and Balasubramanian (1985) have developed a set covering heuristic to determine the economical number of manufacturing ...
This research paper deals with the implementation of suitable meta-heuristic for the closed loop ... more This research paper deals with the implementation of suitable meta-heuristic for the closed loop supply chain network design problem of a fashion product industry. First, the paper presents a comprehensive literature review on the applications of reverse and closed loop supply chain network design problems in Fashion Footwear Industry. The research work employs the case study approach to implement the model and algorithm. Closed loop supply chain network design problem of a Fashion Footwear Industry in South India is studied and considered for the purpose. Then it deals with the application of mathematical model and a suitable hybrid genetic algorithm (HGA) developed for the CLSC network design problem of the Industry this research. The MINLP model and suitable HGA developed are implemented in the industrial case as per the reverse supply chain process conditions and model adopted in the respective closed loop supply chain and the results are presented.
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Papers by Ramasamy Panneerselvam
This paper presents four different hybrid genetic algorithms for network design problem in closed loop supply chain. They are compared using a complete factorial experiment with two factors, viz. problem size and algorithm. Based on the significance of the factor “algorithm”, the best algorithm is identified using Duncan’s multiple range test. Then it is compared with a mathematical model in terms of total cost. It is found that the best hybrid genetic algorithm identified gives results on par with the mathematical model in statistical terms. So, the best algorithm out of four algorithm proposed in this paper is proved to be superior to all other algorithms for all sizes of problems and its performance is equal to that of the mathematical model for small size and medium size problems.
KEYWORDS
Closed Loop Supply Chain, Genetic Algorithms, HGA, Meta-Heuristics, MINLP, Model, Network Design, Optimization
in recent times in order to ensure a business to be economically and environmentally
sustainable with the changing trends in business and social environments, growing environmental
consciousness in the society and government legislations to protect the environment as well as the
business. In this context, this paper considers a multi-echelon closed loop supply chain network
design with forward and reverse logistics components. An attempt has been made to develop a
mixed integer non-linear programming model for this problem with different costs so that the
sum of the total cost is minimized subject to different constraints pertaining to capacities of the
entities of the system, demands of first customers and second customers. A generalized model is
presented and then its application is illustrated using an example problem by solving the model
using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness
of their solutions with corresponding optimal solutions.
which moves the resources from suppliers to factory, raw materials/semi-finished items
within the factory and finished goods from factory to customers via a designated distribution
channel called as forward logistics. In some cases, parts of the products such as automobiles,
computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and
empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery
strategy through reverse logistics network which is integrated in a sustainable closed loop supply
chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics
network. This paper gives a comprehensive review of literature of the design of networks for
the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions
of the researchers are classified into nine categories based on the methods used to design
the logistics network.
This paper presents four different hybrid genetic algorithms for network design problem in closed loop supply chain. They are compared using a complete factorial experiment with two factors, viz. problem size and algorithm. Based on the significance of the factor “algorithm”, the best algorithm is identified using Duncan’s multiple range test. Then it is compared with a mathematical model in terms of total cost. It is found that the best hybrid genetic algorithm identified gives results on par with the mathematical model in statistical terms. So, the best algorithm out of four algorithm proposed in this paper is proved to be superior to all other algorithms for all sizes of problems and its performance is equal to that of the mathematical model for small size and medium size problems.
KEYWORDS
Closed Loop Supply Chain, Genetic Algorithms, HGA, Meta-Heuristics, MINLP, Model, Network Design, Optimization
in recent times in order to ensure a business to be economically and environmentally
sustainable with the changing trends in business and social environments, growing environmental
consciousness in the society and government legislations to protect the environment as well as the
business. In this context, this paper considers a multi-echelon closed loop supply chain network
design with forward and reverse logistics components. An attempt has been made to develop a
mixed integer non-linear programming model for this problem with different costs so that the
sum of the total cost is minimized subject to different constraints pertaining to capacities of the
entities of the system, demands of first customers and second customers. A generalized model is
presented and then its application is illustrated using an example problem by solving the model
using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness
of their solutions with corresponding optimal solutions.
which moves the resources from suppliers to factory, raw materials/semi-finished items
within the factory and finished goods from factory to customers via a designated distribution
channel called as forward logistics. In some cases, parts of the products such as automobiles,
computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and
empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery
strategy through reverse logistics network which is integrated in a sustainable closed loop supply
chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics
network. This paper gives a comprehensive review of literature of the design of networks for
the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions
of the researchers are classified into nine categories based on the methods used to design
the logistics network.