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Abstract ：
为解决企业在不同生产类型下柔性作业车间分批调度的实际问题,对带有重入生产特性的印刷电路板组装(PCBA)调度进行研究.首先,构建以完工时间最小为目标的PCBA等量分批柔性作业车间调度优化模型.其次,提出并设计了一种遗传模拟退火算法来对分批调度模型进行求解,将整个求解过程分为订单批量分批、子批排程这两个阶段,并引入了Metropolis接受准则,以保证算法迭代初期种群的多样性.最后,以某企业PCBA车间的实例展开,运用MATLAB编程求解,验证了遗传模拟退火算法和等量分批的可行性和有效性,同时确定了各个批量生产类型的最优分批数.
Keyword ：
PCBA车间 PCBA车间 柔性作业车间分批调度 柔性作业车间分批调度 模拟退火算法 模拟退火算法 遗传算法 遗传算法
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| GB/T 7714 | 黄夏宝 , 杨立熙 , 傅光炎 . PCBA柔性作业车间等量分批调度问题研究 [J]. | 制造业自动化 , 2020 , 42 (9) : 89-94 . |
| MLA | 黄夏宝 等. "PCBA柔性作业车间等量分批调度问题研究" . | 制造业自动化 42 . 9 (2020) : 89-94 . |
| APA | 黄夏宝 , 杨立熙 , 傅光炎 . PCBA柔性作业车间等量分批调度问题研究 . | 制造业自动化 , 2020 , 42 (9) , 89-94 . |
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Purpose: The purpose of this paper is to propose a grey clustering evaluation model based on analytic hierarchy process (AHP) and interval grey number (IGN) to solve the clustering evaluation problem with IGNs. Design/methodology/approach: First, the centre-point triangular whitenisation weight function with real numbers is built, and then by using interval mean function, the whitenisation weight function is extended to IGNs. The weights of evaluation indexes are determined by AHP. Finally, this model is used to evaluate the flight safety of a Chinese airline. The results indicate that the model is effective and reasonable. Findings: When IGN meets certain conditions, the centre-point triangular whitenisation weight function based on IGN is not multiple-cross and it is normative. It provides a certain standard and basis for obtaining the effective evaluation indexes and determining the scientific evaluation of the grey class. Originality/value: The traditional grey clustering model is extended to the field of IGN. It can make full use of all the information of the IGN, so the result of the evaluation is more objective and reasonable, which provides supports for solving practical problems. © 2019, Emerald Publishing Limited.
Keyword ：
Analytic hierarchy process Analytic hierarchy process Function evaluation Function evaluation Hierarchical systems Hierarchical systems
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| GB/T 7714 | Chen, Kejia , Chen, Ping , Yang, Lixi et al. Grey clustering evaluation based on AHP and interval grey number [J]. | International Journal of Intelligent Computing and Cybernetics , 2019 , 12 (1) : 127-137 . |
| MLA | Chen, Kejia et al. "Grey clustering evaluation based on AHP and interval grey number" . | International Journal of Intelligent Computing and Cybernetics 12 . 1 (2019) : 127-137 . |
| APA | Chen, Kejia , Chen, Ping , Yang, Lixi , Jin, Lian . Grey clustering evaluation based on AHP and interval grey number . | International Journal of Intelligent Computing and Cybernetics , 2019 , 12 (1) , 127-137 . |
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Purpose: Flexible job-shop scheduling is significant for different manufacturing industries nowadays. Moreover, consideration of transportation time during scheduling makes it more practical and useful. The purpose of this paper is to investigate multi-objective flexible job-shop scheduling problem (MOFJSP) considering transportation time. Design/methodology/approach: A hybrid genetic algorithm (GA) approach is integrated with simulated annealing to solve the MOFJSP considering transportation time, and an external elitism memory library is employed as a knowledge library to direct GA search into the region of better performance. Findings: The performance of the proposed algorithm is tested on different MOFJSP taken from literature. Experimental results show that proposed algorithm performs better than the original GA in terms of quality of solution and distribution of the solution, especially when the number of jobs and the flexibility of the machine increase. Originality/value: Most of existing studies have not considered the transportation time during scheduling of jobs. The transportation time is significantly desired to be included in the FJSP when the time of transportation of jobs has significant impact on the completion time of jobs. Meanwhile, GA is one of primary algorithms extensively used to address MOFJSP in literature. However, to solve the MOFJSP, the original GA has a possibility to get a premature convergence and it has a slow convergence speed. To overcome these problems, a new hybrid GA is developed in this paper. © 2019, Emerald Publishing Limited.
Keyword ：
Genetic algorithms Genetic algorithms Job shop scheduling Job shop scheduling Multiobjective optimization Multiobjective optimization Scheduling Scheduling Simulated annealing Simulated annealing
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| GB/T 7714 | Huang, Xiabao , Yang, Lixi . A hybrid genetic algorithm for multi-objective flexible job shop scheduling problem considering transportation time [J]. | International Journal of Intelligent Computing and Cybernetics , 2019 , 12 (2) : 154-174 . |
| MLA | Huang, Xiabao et al. "A hybrid genetic algorithm for multi-objective flexible job shop scheduling problem considering transportation time" . | International Journal of Intelligent Computing and Cybernetics 12 . 2 (2019) : 154-174 . |
| APA | Huang, Xiabao , Yang, Lixi . A hybrid genetic algorithm for multi-objective flexible job shop scheduling problem considering transportation time . | International Journal of Intelligent Computing and Cybernetics , 2019 , 12 (2) , 154-174 . |
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Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed. By hybridizing genetic algorithm with particle swarm optimization, this article proposes a teaching-and-learning-based hybrid genetic-particle swarm optimization algorithm to address multi-objective flexible job-shop scheduling problem. The proposed algorithm comprises three modules: genetic algorithm, bi-memory learning, and particle swarm optimization. A learning mechanism is incorporated into genetic algorithm, and therefore, during the process of evolution, the offspring in genetic algorithm can learn the characteristics of elite chromosomes from the bi-memory learning. For solving multi-objective flexible job-shop scheduling problem, this study proposes a discrete particle swarm optimization algorithm. The population is partitioned into two subpopulations for genetic algorithm module and particle swarm optimization module. These two algorithms simultaneously search for solutions in their own subpopulations and exchange the information between these two subpopulations, such that both algorithms can complement each other with advantages. The proposed algorithm is evaluated on some instances, and experimental results demonstrate that the proposed algorithm is an effective method for multi-objective flexible job-shop scheduling problem.
Keyword ：
Flexible job-shop scheduling problem Flexible job-shop scheduling problem genetic algorithm genetic algorithm hybrid algorithm hybrid algorithm multi-objective optimization multi-objective optimization particle swarm optimization particle swarm optimization
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| GB/T 7714 | Huang, Xiabao , Guan, Zailin , Yang, Lixi . An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem [J]. | ADVANCES IN MECHANICAL ENGINEERING , 2018 , 10 (9) . |
| MLA | Huang, Xiabao et al. "An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem" . | ADVANCES IN MECHANICAL ENGINEERING 10 . 9 (2018) . |
| APA | Huang, Xiabao , Guan, Zailin , Yang, Lixi . An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem . | ADVANCES IN MECHANICAL ENGINEERING , 2018 , 10 (9) . |
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Abstract ：
针对面向绿色制造的车间调度问题,将低碳因素作为影响因子考虑到模型中,构建低碳生产下的多目标柔性作业车间调度模型,并提出改进的免疫遗传算法求解模型.算法改进初始种群的形成机制,以提高收敛速度和改善求解质量,采用合理的选择策略机制、交叉和变异方式,结合记忆库设计熵值移除法筛选Pareto解集,以提高算法的搜索能力和避免算法陷入早熟.运用MATLAB编程运算实例,实验结果表明,该方法能够有效地解决了绿色制造中低碳的多目标调度优化问题.
Keyword ：
低碳 低碳 免疫算法 免疫算法 柔性作业车间调度 柔性作业车间调度 遗传算法 遗传算法
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| GB/T 7714 | 杨立熙 , 王秀萍 . 考虑低碳的柔性作业车间调度问题研究 [J]. | 组合机床与自动化加工技术 , 2018 , (6) : 168-171,176 . |
| MLA | 杨立熙 et al. "考虑低碳的柔性作业车间调度问题研究" . | 组合机床与自动化加工技术 6 (2018) : 168-171,176 . |
| APA | 杨立熙 , 王秀萍 . 考虑低碳的柔性作业车间调度问题研究 . | 组合机床与自动化加工技术 , 2018 , (6) , 168-171,176 . |
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针对柔性作业车间调度问题,提出一种改进的免疫遗传混合算法.该算法使用新的初始化方式产生初始解,然后设计合理的自适应交叉变异机制产生新抗体,再通过免疫接种和免疫记忆等操作优化新的抗体,将免疫算法和遗传算法相结合可以提高算法的全局搜索能力,避免遗传算法陷入早熟收敛的问题.最后使用MATLAB编程求解基准算例来验证所提算法的有效性,再将算法应用于其他文献中实际生产企业的车间调度问题,得到更多的最优解且结果更优,证明了该算法的实用性.
Keyword ：
免疫 免疫 柔性作业车间调度 柔性作业车间调度 自适应 自适应 遗传 遗传
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| GB/T 7714 | 杨立熙 , 王秀萍 . 基于免疫遗传算法求解多目标柔性作业调度问题 [J]. | 武汉理工大学学报（信息与管理工程版） , 2018 , 40 (1) : 69-74 . |
| MLA | 杨立熙 et al. "基于免疫遗传算法求解多目标柔性作业调度问题" . | 武汉理工大学学报（信息与管理工程版） 40 . 1 (2018) : 69-74 . |
| APA | 杨立熙 , 王秀萍 . 基于免疫遗传算法求解多目标柔性作业调度问题 . | 武汉理工大学学报（信息与管理工程版） , 2018 , 40 (1) , 69-74 . |
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为有效解决MEM案例教学时间分配问题、全面提升MEM教学质量,在案例教学中引入翻转课堂教学模式.通过MEM学生背景研究,把翻转课堂与案例教学有机结合,设计出适应MEM学生的翻转课堂案例教学模式.把教学过程划分为课前理论知识学习阶段、课堂协作学习案例探究阶段、课后反思阶段,为MEM案例教学提供更合理有效的教学安排.同时借助微软的SharePoint平台,构建出基于翻转课堂的案例教学网络平台,辅助教学资源的有效呈现,为学生提供交互式的个性化学习环境.
Keyword ：
个性化学习 个性化学习 工程管理专业硕士(MEM) 工程管理专业硕士(MEM) 案例教学 案例教学 翻转课堂 翻转课堂
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| GB/T 7714 | 杨立熙 , 魏淑玲 . MEM基于翻转课堂的案例教学研究 [J]. | 教育现代化 , 2017 , 4 (49) : 296-301 . |
| MLA | 杨立熙 et al. "MEM基于翻转课堂的案例教学研究" . | 教育现代化 4 . 49 (2017) : 296-301 . |
| APA | 杨立熙 , 魏淑玲 . MEM基于翻转课堂的案例教学研究 . | 教育现代化 , 2017 , 4 (49) , 296-301 . |
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在实际加工生产中,工序间的运输时间占整个加工时间的比例很大.为了更合理地研究柔性作业车间调度问题,将运输时间作为独立影响因子考虑到模型中.针对模型的特殊性与传统遗传算法易早熟的缺陷,运用小生境的思想和自适应距离变量划分种群并协同进化,进而平衡种群选择压力,避免算法过早收敛至局部最优.同时提出最短工作时间方法优化初始种群,改善算法的求解效率.运用Matlab对国际上通用的算例进行实验并与经典遗传算法对比,结果表明,新提出的算法能够获得更优的调度方案.
Keyword ：
小生境 小生境 柔性作业车间调度 柔性作业车间调度 运输时间 运输时间 选择压力 选择压力 遗传算法 遗传算法
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| GB/T 7714 | 杨立熙 , 余慧慧 . 考虑运输时间的柔性作业车间调度问题研究 [J]. | 武汉理工大学学报（信息与管理工程版） , 2017 , 39 (1) : 104-109 . |
| MLA | 杨立熙 et al. "考虑运输时间的柔性作业车间调度问题研究" . | 武汉理工大学学报（信息与管理工程版） 39 . 1 (2017) : 104-109 . |
| APA | 杨立熙 , 余慧慧 . 考虑运输时间的柔性作业车间调度问题研究 . | 武汉理工大学学报（信息与管理工程版） , 2017 , 39 (1) , 104-109 . |
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Selection of reverse logistics service providers is a typical multiple attributes decision-making problem. We establish an evaluation index system for the reverse logistics service provider selection and propose a new multiple attributes decision-making method, GI-TOPSIS, based on combinational weight determination. In terms of weight determination, we combine ANP with entropy method to consider the dependency of evaluation indices and the information of evaluation data. Furthermore, we introduce the degree of grey incidence into TOPSIS and use relative similarity degree to reflect the distance differences and shape changes, which is more complete and clear. Finally, an empirical study on the reverse logistics service provider selection in an electronic,manufacturing enterprise is conducted, and the results demonstrate the feasibility and validity of the evaluation index system and the decision-making method.
Keyword ：
combinational weight determination combinational weight determination degree of grey incidence degree of grey incidence provider selection provider selection reverse logistics reverse logistics TOPSIS TOPSIS
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| GB/T 7714 | Chen, Kejia , Yu, Xiankang , Yang, Lixi . GI-TOPSIS Based on Combinational Weight Determination and its Application to Selection of Reverse Logistics Service Providers [J]. | JOURNAL OF GREY SYSTEM , 2013 , 25 (3) : 16-33 . |
| MLA | Chen, Kejia et al. "GI-TOPSIS Based on Combinational Weight Determination and its Application to Selection of Reverse Logistics Service Providers" . | JOURNAL OF GREY SYSTEM 25 . 3 (2013) : 16-33 . |
| APA | Chen, Kejia , Yu, Xiankang , Yang, Lixi . GI-TOPSIS Based on Combinational Weight Determination and its Application to Selection of Reverse Logistics Service Providers . | JOURNAL OF GREY SYSTEM , 2013 , 25 (3) , 16-33 . |
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Service-oriented manufacturing is an advanced manufacturing mode focused on integrating service with manufacturing. The remarkable importance is known to be strongly associated with the development of service-oriented economy in the period in which China transfers the traditional equipment manufacturing industry to the service-oriented manufacturing. We take a close insight into basic theories of service-oriented manufacturing, and then we analyze the characteristics, profiles, as well as the present situation of the equipment manufacturing. Finally, we propose some countermeasures for transferring the equipment manufacturing to the service-oriented manufacturing from the views of the aggregation mechanism, the network of innovative mechanism and manufacturing value-added chain.
Keyword ：
Equipment Manufacturing Industry Equipment Manufacturing Industry Service-Oriented Manufacturing Service-Oriented Manufacturing Transition Transition
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| GB/T 7714 | Yang, Lixi , Zhou, Xufang . Developing Equipment Manufacturing Industry Based On Service-Oriented Manufacturing [C] . 2013 : 2340-2343 . |
| MLA | Yang, Lixi et al. "Developing Equipment Manufacturing Industry Based On Service-Oriented Manufacturing" . (2013) : 2340-2343 . |
| APA | Yang, Lixi , Zhou, Xufang . Developing Equipment Manufacturing Industry Based On Service-Oriented Manufacturing . (2013) : 2340-2343 . |
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