Heuristics Algorithms for Job-Shop Scheduling Problem: Critical Element Analysis
Solving JSSP is an intractable subject. It has great significance in improving productive efficiencies for manufacture enterprise. In recent decades, designing algorithms for solving problem of JSSP problem become an important issue. Moreover, it is difficult to find an appropriate criteria to evalu...
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| Published in | 2012 International Conference on Computer Science and Service System pp. 94 - 97 |
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| Main Authors | , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.08.2012
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9781467307215 1467307211 |
| DOI | 10.1109/CSSS.2012.32 |
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| Abstract | Solving JSSP is an intractable subject. It has great significance in improving productive efficiencies for manufacture enterprise. In recent decades, designing algorithms for solving problem of JSSP problem become an important issue. Moreover, it is difficult to find an appropriate criteria to evaluate efficiency of algorithms available with respect to solving JSSP. Various algorithms for solving JSSP are listed, and their advantages and disadvantages are also indicated. At the same time, three critical element for designing algorithms for JSSP were proposed. Finally, several future research trends of solving job shop problems and proposals for the future research work are summarized and presented respectively. |
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| AbstractList | Solving JSSP is an intractable subject. It has great significance in improving productive efficiencies for manufacture enterprise. In recent decades, designing algorithms for solving problem of JSSP problem become an important issue. Moreover, it is difficult to find an appropriate criteria to evaluate efficiency of algorithms available with respect to solving JSSP. Various algorithms for solving JSSP are listed, and their advantages and disadvantages are also indicated. At the same time, three critical element for designing algorithms for JSSP were proposed. Finally, several future research trends of solving job shop problems and proposals for the future research work are summarized and presented respectively. |
| Author | Zhang Yun-Cai Wang Xiao-Yuan Sun Liang |
| Author_xml | – sequence: 1 surname: Sun Liang fullname: Sun Liang email: liangsunsdut@sdut.edu.cn organization: Sch. of Transp. & Vehicle Eng., Shandong Univ. of Technol., Zibo, China – sequence: 2 surname: Wang Xiao-Yuan fullname: Wang Xiao-Yuan organization: Sch. of Transp. & Vehicle Eng., Shandong Univ. of Technol., Zibo, China – sequence: 3 surname: Zhang Yun-Cai fullname: Zhang Yun-Cai email: liangsunsdut@sdut.edu.cn organization: Tianjin Key Lab. of Pulp & Paper Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China |
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| Snippet | Solving JSSP is an intractable subject. It has great significance in improving productive efficiencies for manufacture enterprise. In recent decades, designing... |
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| SubjectTerms | Algorithm design and analysis Genetic algorithms Heuristic algorithms Heuristics algorithm Job shop scheduling job-shop scheduling problem Optimization Processor scheduling scheduling theory |
| Title | Heuristics Algorithms for Job-Shop Scheduling Problem: Critical Element Analysis |
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