Mixed-integer programming model and hybrid immune clone select algorithm for multi-objective double floor corridor allocation problem with vertical conveyor
•Establish the model of Multi-Objective Double-Floor Corridor Allocation Problem•Propose a multi-objective hybrid immune clone select algorithm.•Validated the accuracy of the model and algorithms.•Exploring algorithm parameters and optimising a 24-scale production instance•The superiority of the pro...
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| Published in | Robotics and computer-integrated manufacturing Vol. 77; p. 102364 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Ltd
01.10.2022
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0736-5845 1879-2537 |
| DOI | 10.1016/j.rcim.2022.102364 |
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| Abstract | •Establish the model of Multi-Objective Double-Floor Corridor Allocation Problem•Propose a multi-objective hybrid immune clone select algorithm.•Validated the accuracy of the model and algorithms.•Exploring algorithm parameters and optimising a 24-scale production instance•The superiority of the proposed method is verified by comparing the solutions
Detailed research on the impact of longitudinal material transportation mode and facility direction on the layout based on the double-floor corridor allocation problem (DFCAP) is lacking. Hence, we proposed a mixed-integer nonlinear programming (MINLP) model of a multi-objective DFCAP (MODFCAP) for minimising the material handling cost (MHC), minimising total layout area, and optimising the equilibrium index of double elevators. Moreover, we proposed a multi-objective clonal selection algorithm with variable neighbourhood search (VNS) operations (ICSAVNS) for solving MODFCAP efficiently. ICSAVNS performs a deep search of the population using the Metropolis-based VNS operation and also performs a breadth search through the two-segment mutation simultaneously. The accuracy of the model and algorithm is validated experimentally using a 9-scale calculation instance. We designed the Taguchi experiment to explore reasonable algorithm parameters and analysed the advantages and disadvantages of the layout schemes under different target preferences based on the results of a set of 24-scale production examples. Finally, the simulation instances of MODFCAP and bi-objective CAP are tested and compared with a series of algorithms. The results show that ICSAVNS can achieve the solution performance of the current advanced multi-objective algorithm. |
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| AbstractList | Detailed research on the impact of longitudinal material transportation mode and facility direction on the layout based on the double-floor corridor allocation problem (DFCAP) is lacking. Hence, we proposed a mixed-integer nonlinear programming (MINLP) model of a multi-objective DFCAP (MODFCAP) for minimising the material handling cost (MHC), minimising total layout area, and optimising the equilibrium index of double elevators. Moreover, we proposed a multi-objective clonal selection algorithm with variable neighbourhood search (VNS) operations (ICSAVNS) for solving MODFCAP efficiently. ICSAVNS performs a deep search of the population using the Metropolis-based VNS operation and also performs a breadth search through the two-segment mutation simultaneously. The accuracy of the model and algorithm is validated experimentally using a 9-scale calculation instance. We designed the Taguchi experiment to explore reasonable algorithm parameters and analysed the advantages and disadvantages of the layout schemes under different target preferences based on the results of a set of 24-scale production examples. Finally, the simulation instances of MODFCAP and bi-objective CAP are tested and compared with a series of algorithms. The results show that ICSAVNS can achieve the solution performance of the current advanced multi-objective algorithm. •Establish the model of Multi-Objective Double-Floor Corridor Allocation Problem•Propose a multi-objective hybrid immune clone select algorithm.•Validated the accuracy of the model and algorithms.•Exploring algorithm parameters and optimising a 24-scale production instance•The superiority of the proposed method is verified by comparing the solutions Detailed research on the impact of longitudinal material transportation mode and facility direction on the layout based on the double-floor corridor allocation problem (DFCAP) is lacking. Hence, we proposed a mixed-integer nonlinear programming (MINLP) model of a multi-objective DFCAP (MODFCAP) for minimising the material handling cost (MHC), minimising total layout area, and optimising the equilibrium index of double elevators. Moreover, we proposed a multi-objective clonal selection algorithm with variable neighbourhood search (VNS) operations (ICSAVNS) for solving MODFCAP efficiently. ICSAVNS performs a deep search of the population using the Metropolis-based VNS operation and also performs a breadth search through the two-segment mutation simultaneously. The accuracy of the model and algorithm is validated experimentally using a 9-scale calculation instance. We designed the Taguchi experiment to explore reasonable algorithm parameters and analysed the advantages and disadvantages of the layout schemes under different target preferences based on the results of a set of 24-scale production examples. Finally, the simulation instances of MODFCAP and bi-objective CAP are tested and compared with a series of algorithms. The results show that ICSAVNS can achieve the solution performance of the current advanced multi-objective algorithm. |
| ArticleNumber | 102364 |
| Author | Chen, Feng Liu, Juniqi Zhang, Zeqiang Zhang, Yu Yin, Tao Liu, Silu |
| Author_xml | – sequence: 1 givenname: Juniqi surname: Liu fullname: Liu, Juniqi organization: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China – sequence: 2 givenname: Zeqiang surname: Zhang fullname: Zhang, Zeqiang email: zhangzq@home.swjtu.edu.cn organization: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China – sequence: 3 givenname: Yu surname: Zhang fullname: Zhang, Yu organization: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China – sequence: 4 givenname: Silu surname: Liu fullname: Liu, Silu organization: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China – sequence: 5 givenname: Feng surname: Chen fullname: Chen, Feng organization: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China – sequence: 6 givenname: Tao surname: Yin fullname: Yin, Tao organization: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China |
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| Keywords | Facilities planning and design Mixed-integer nonlinear programming model Clonal select algorithm Double floor corridor allocation problem Variable neighbourhood search operation |
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| SubjectTerms | Algorithms Clonal select algorithm Double floor corridor allocation problem Elevators Facilities planning and design Integer programming Layouts Materials handling Mixed integer Mixed-integer nonlinear programming model Model accuracy Mutation Nonlinear programming Searching Variable neighbourhood search operation |
| Title | Mixed-integer programming model and hybrid immune clone select algorithm for multi-objective double floor corridor allocation problem with vertical conveyor |
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