The Experts below are selected from a list of 10197 Experts worldwide ranked by ideXlab platform
Bin Ye - One of the best experts on this subject based on the ideXlab platform.
-
variable neighborhood search heuristic for storage location assignment and storage Retrieval scheduling under shared storage in multi shuttle automated storage Retrieval systems
Transportation Research Part E-logistics and Transportation Review, 2015Co-Authors: Peng Yang, Lixin Miao, Bin YeAbstract:This paper examines the joint optimization of storage location assignment and storage/Retrieval scheduling in multi-shuttle automated storage/Retrieval systems (AS/RSs) under shared storage, in which the reuse of empty location yielded by Retrieval Operation is allowed. From the view of analytical model, the advantage of Operational mode under shared storage is verified. A variable neighborhood search (VNS) algorithm is developed to solve the large-sized problems. Various numerical experiments are conducted to evaluate the performance of the proposed algorithm and investigate the impact of different parameters on computational efficiency.
Peng Yang - One of the best experts on this subject based on the ideXlab platform.
-
variable neighborhood search heuristic for storage location assignment and storage Retrieval scheduling under shared storage in multi shuttle automated storage Retrieval systems
Transportation Research Part E-logistics and Transportation Review, 2015Co-Authors: Peng Yang, Lixin Miao, Bin YeAbstract:This paper examines the joint optimization of storage location assignment and storage/Retrieval scheduling in multi-shuttle automated storage/Retrieval systems (AS/RSs) under shared storage, in which the reuse of empty location yielded by Retrieval Operation is allowed. From the view of analytical model, the advantage of Operational mode under shared storage is verified. A variable neighborhood search (VNS) algorithm is developed to solve the large-sized problems. Various numerical experiments are conducted to evaluate the performance of the proposed algorithm and investigate the impact of different parameters on computational efficiency.
-
Variable neighborhood search heuristic for storage location assignment and storage/Retrieval scheduling under shared storage in multi-shuttle automated storage/Retrieval systems
Transportation Research Part E-logistics and Transportation Review, 2015Co-Authors: Peng Yang, Lixin Miao, Zhaojie XueAbstract:This paper examines the joint optimization of storage location assignment and storage/Retrieval scheduling in multi-shuttle automated storage/Retrieval systems (AS/RSs) under shared storage, in which the reuse of empty location yielded by Retrieval Operation is allowed. From the view of analytical model, the advantage of Operational mode under shared storage is verified. A variable neighborhood search (VNS) algorithm is developed to solve the large-sized problems. Various numerical experiments are conducted to evaluate the performance of the proposed algorithm and investigate the impact of different parameters on computational efficiency.
Lixin Miao - One of the best experts on this subject based on the ideXlab platform.
-
variable neighborhood search heuristic for storage location assignment and storage Retrieval scheduling under shared storage in multi shuttle automated storage Retrieval systems
Transportation Research Part E-logistics and Transportation Review, 2015Co-Authors: Peng Yang, Lixin Miao, Bin YeAbstract:This paper examines the joint optimization of storage location assignment and storage/Retrieval scheduling in multi-shuttle automated storage/Retrieval systems (AS/RSs) under shared storage, in which the reuse of empty location yielded by Retrieval Operation is allowed. From the view of analytical model, the advantage of Operational mode under shared storage is verified. A variable neighborhood search (VNS) algorithm is developed to solve the large-sized problems. Various numerical experiments are conducted to evaluate the performance of the proposed algorithm and investigate the impact of different parameters on computational efficiency.
-
Variable neighborhood search heuristic for storage location assignment and storage/Retrieval scheduling under shared storage in multi-shuttle automated storage/Retrieval systems
Transportation Research Part E-logistics and Transportation Review, 2015Co-Authors: Peng Yang, Lixin Miao, Zhaojie XueAbstract:This paper examines the joint optimization of storage location assignment and storage/Retrieval scheduling in multi-shuttle automated storage/Retrieval systems (AS/RSs) under shared storage, in which the reuse of empty location yielded by Retrieval Operation is allowed. From the view of analytical model, the advantage of Operational mode under shared storage is verified. A variable neighborhood search (VNS) algorithm is developed to solve the large-sized problems. Various numerical experiments are conducted to evaluate the performance of the proposed algorithm and investigate the impact of different parameters on computational efficiency.
Yasuo Onishi - One of the best experts on this subject based on the ideXlab platform.
-
Numerical Modeling of Mixing of Chemically Reacting, Non-Newtonian Slurry for Tank Waste Retrieval
2000Co-Authors: David A Yuen, Yasuo Onishi, James R Rustad, Thomas E Michener, Andrew R Felmy, Arkady A Ten, Catherine A HierAbstract:Many highly radioactive wastes will be retrieved by installing mixer pumps that inject high-speed jets to stir up the sludge, saltcake, and supernatant liquid in the tank, blending them into a slurry. This slurry will then be pumped out of the tank into a waste treatment facility. Our objectives are to investigate interactions-chemical reactions, waste rheology, and slurry mixing-occurring during the Retrieval Operation and to provide a scientific basis for the waste Retrieval decision-making process. Specific objectives are to: (1) Evaluate numerical modeling of chemically active, non-Newtonian tank waste mixing, coupled with chemical reactions and realistic rheology; (2) Conduct numerical modeling analysis of local and global mixing of non-Newtonian and Newtonian slurries; and (3) Provide the bases to develop a scientifically justifiable, decision-making support tool for the tank waste Retrieval Operation
-
Numerical Modeling of Mixing of Chemically Reacting, Non- Newtonian Slurry for Tank Waste Retrieval
1999Co-Authors: David A Yuen, Yasuo OnishiAbstract:The objectives of this study are to investigate interactions among chemical reactions, waste rheology, and slurry mixing occurring during the tank waste Retrieval Operation and to provide a scientific basis for the waste Retrieval decision-making process. Specific objectives are to: (1) Evaluate numerical modeling of non-Newtonian waste with yield strength; (2) Examine reactive transport simulation of tank waste; (3) Conduct numerical modeling analysis of local and global mixing of non-Newtonian and Newtonian slurries coupled with the relevant chemical reactions and realistic rheology, which depends critically on the chemistry, strain rate, and slurry concentrations; (4) Develop easy-to-use interactive software with the collaborative visualization for monitoring the various flow regimes in nuclear waste tanks; and (5) Provide the bases to develop an appropriate decision-making support tool based on scientifically justifiable analysis for tank-waste Retrieval Operation
David A Yuen - One of the best experts on this subject based on the ideXlab platform.
-
Numerical Modeling of Mixing of Chemically Reacting, Non-Newtonian Slurry for Tank Waste Retrieval
2000Co-Authors: David A Yuen, Yasuo Onishi, James R Rustad, Thomas E Michener, Andrew R Felmy, Arkady A Ten, Catherine A HierAbstract:Many highly radioactive wastes will be retrieved by installing mixer pumps that inject high-speed jets to stir up the sludge, saltcake, and supernatant liquid in the tank, blending them into a slurry. This slurry will then be pumped out of the tank into a waste treatment facility. Our objectives are to investigate interactions-chemical reactions, waste rheology, and slurry mixing-occurring during the Retrieval Operation and to provide a scientific basis for the waste Retrieval decision-making process. Specific objectives are to: (1) Evaluate numerical modeling of chemically active, non-Newtonian tank waste mixing, coupled with chemical reactions and realistic rheology; (2) Conduct numerical modeling analysis of local and global mixing of non-Newtonian and Newtonian slurries; and (3) Provide the bases to develop a scientifically justifiable, decision-making support tool for the tank waste Retrieval Operation
-
Numerical Modeling of Mixing of Chemically Reacting, Non- Newtonian Slurry for Tank Waste Retrieval
1999Co-Authors: David A Yuen, Yasuo OnishiAbstract:The objectives of this study are to investigate interactions among chemical reactions, waste rheology, and slurry mixing occurring during the tank waste Retrieval Operation and to provide a scientific basis for the waste Retrieval decision-making process. Specific objectives are to: (1) Evaluate numerical modeling of non-Newtonian waste with yield strength; (2) Examine reactive transport simulation of tank waste; (3) Conduct numerical modeling analysis of local and global mixing of non-Newtonian and Newtonian slurries coupled with the relevant chemical reactions and realistic rheology, which depends critically on the chemistry, strain rate, and slurry concentrations; (4) Develop easy-to-use interactive software with the collaborative visualization for monitoring the various flow regimes in nuclear waste tanks; and (5) Provide the bases to develop an appropriate decision-making support tool based on scientifically justifiable analysis for tank-waste Retrieval Operation