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正版新书]流程工业智能调度模型与优化算法研究=ResearchonIntel
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PART I Theoretical knowledge of scheduling
Chapter 1 Overview of scheduling problems
1.1 Introduction to production scheduling problems
1.2 Overview of flow shop scheduling problems
1.3 Overview of compact scheduling problems in the process industry
1.4 Research status of compact scheduling problems
1.5 Overview of group scheduling problems in the process industry
1.6 Research status of flow shop group scheduling problems
1.7 Practical scheduling problems in steel industry
References
Chapter 2 Overview of scheduling algorithms
2.1 Introduction
2.2 Classic scheduling methods
2.3 Intelligent scheduling methods
2.4 Integrated methods
References
PART II Research on flow shop scheduling problems in the process production
Chapter 3 Two machine flow shop group scheduling problem with job related blocking and transportation times
3.1 Introduction
3.2 Literature review
3.3 Problem description and mathematical model
3.4 Complexity analysis
3.5 Co evolutionary genetic algorithm (CGA)
3.6 Computational experiments
3.7 Conclusions
References
Chapter 4 Multi stage flow shop group scheduling problem with sequence dependent setup and transportation times
4.1 Introduction
4.2 Problem description and mathematical model
4.3 Co evolutionary discrete differential evolution algorithm (CDDEA)
4.4 Two lower bounds
4.5 Computational experiments
References
Chapter 5 Group scheduling problem with transportation capacity constraints
5.1 Introduction
5.2 Literature review
5.3 Problem description and mathematical model
5.4 Problem analysis
5.5 Solving algorithm
5.6 Experimental results and discuss
5.7 Conclusions
References
Chapter 6 Permutation flow shop scheduling with time lag constraints and makespan criterion
6.1 Introduction
6.2 Related works
6.3 Problem description
6.4 Reversibility property
6.5 Constructive heuristic
6.6 Computational experiments
6.7 Conclusions
王柏琳,博士,北京科技大学经济管理学院管理科学与工程系副教授,钢铁生产制造执行系统教育部工程研究中心骨干成员,研究方向为先进制造管理、制造系统技术、生产计划与调度等。
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