In order to enhance the affinity and pertinence of ideological and political education and meet the needs and expectations of students’ growth and development. A practical exploration on how to integrate ideological and political elements into postgraduate professional courses is made. Taking the postgraduate course of Mine Fire Prevention and Control as an example, how to extract ideological and political elements in combination with the teaching content and national policy guidance is analyzed. From the perspective of engineering practice, the idea of introducing the law of contradiction into the curriculum, cultivating students’ professional pride and enhancing “four self-confidence” and running ideological and political work through the whole process of postgraduate course teaching is put forward. Then the ideological and political teaching process is designed to provide a reference for the ideological and political practice of other courses.

随着近年来硕士研究生招生规模的迅速扩大,硕士研究生教育实现"量"到"质"的提升是新时代对高等人才的要求.文章针对当下硕士研究生教育培养中存在的问题进行讨论探析,提出了实现硕士研究生教育培养高质量发展的实施路径.

安全系统工程是安全工程本科专业的核心基础课程，为提高课程的教学质量、解决学生学习主动性、培养学生实践应用能力，针对以往教学过程遇到的问题，采用多元综合教学法“课堂讲授—案例分析—课堂讨论—项目实践—网络平台”等教学方式对安全系统工程教学课程创新，充分提高教学质量、实现课程教学的真正价值。针对以往教学过程中遇到的问题，结合专业知识特点进行教学方法改革，提高本课程教学质量，培养学生的工程实践学习能力，为我国安全生产领域提供专业性技术人才。

A sequential scheduling method for multi-objective, flexible job-shop scheduling problem (FJSP) work calendars is proposed. Firstly, the sequential scheduling problem for the multi-objective FJSP under mixed work calendars was described. Secondly, two key technologies to solve such a problem were proposed: one was a time-reckoning technology based on the machine's work calendar, the other was a sequential scheduling technology. Then, a non-dominated sorting genetic algorithm with an elite strategy (NSGA-II) was designed to solve the problem. In the algorithm, a two-segment encoding method was used to encode the chromosome. A two-segment crossover and mutation operator were used with an improved strategy of genetic operators therein to ensure feasibility of the chromosomes. Time-reckoning technology was used to calculate start and end time of each process. The sequential scheduling technology was used to implement sequential scheduling. The case study shows that the proposed method can obtain an effective Pareto set of the sequential scheduling problem for multi-objective FJSP under mixed work calendars within an acceptable time.

For the Flow Shop Scheduling Problem(FSP)under multiple work calendars, this paper proposes an optimiza-tion scheduling method based on Genetic Algorithm(GA). Firstly, a time reckoning method based on multiple work calen-dars is given as a critical technology to solve the researched problem:Worksheets"work system"and"machine"are designed by Excel. The work system and work time periods are specified to each machine in the worksheet"machine". On above basis, five time reckoning functions based on the machine’s work calendar are designed by Excel VBA. Secondly, a genetic algorithm is developed to solve the problem by Excel VBA. In the algorithm, an integer coding method is used to code the individuals, a swapping method is used in the crossover and mutation operation, and the above time reckoning method based on multiple work calendars is used to calculate start time and end time of each operation accurately. Finally, the effectiveness of the proposed method is validated by case study.

针对运输问题寻优的高度复杂性,提出了一种基于表上作业原理的计算机寻优算法.在算法中,采用"最小元素法"获取初始基可行解,采用"位势法"获取检验数数组,采用"递归过程"获取闭合回路数组,根据闭合回路数组和基可行解获取调整量,根据闭合回路数组、调整量对基可行解进行调整,通过While循环不断寻优直到最小检验数非负.While循环退出时,若存在0检验数,则任选一个0检验数,以其为起点寻找一个闭合回路数组,通过调整得到随机最优解.应用案例表明,该算法实现了表上作业求解过程的计算机程序化,提高了计算效率、确保了计算准确性.

作为产销平衡运输问题常用的求解方法,表上作业法的计算过程烦琐,教师往往无法在课堂上完整地讲述一个案例,大大影响了该方法的教学质量.本文基于"表上作业法",以Excel Vba为平台,提出了一种产销平衡运输问题表上作业法的计算机辅助教学方法.

针对专业型硕士研究生培养目标特点,笔者提出了一种专业课程教学新模式.首先,转变师生角色,让教师成为课堂设计者、组织者和裁判,让学生成为课堂主体;其次,合理组织教学内容,做到系统性与主要知识点兼顾;再次,合理选择授课方式,采用研讨式教学、案例式教学、实操式教学、翻转式教学等多种形式的新型授课方式;最后,合理设计考核方式,采用平时考核与开放式考试或实践论文相结合的新型考核方式.

提出了一种基于遗传进化的多响应参数稳健设计优化方法.对多响应参数稳建设计问题进行了数学描述,建立了以试验样本多响应输出参数的加权平均质量损失最小化为目标的数学优化模型;提出了多响应参数稳健设计的遗传进化优化方法:以密集抽样取代离散化处理,以个体取代试验方案,以变化的种群取代固定的内表,通过遗传进化得到最优设计方案;提出并设计了多响应参数稳健设计的遗传优化算法.通过案例分析验证了该方法的有效性.

分析了高校传统全检考勤方式存在的问题,针对问题提出了相应改善措施.首先,改变传统"串行"的名单采集方式为"并行"的卡片采集方式,缩短了名单采集时间;然后,以Excel为平台设计了一套快速录入系统以辅助教师进行实到学生名单录入,缩短了录入时间、保证了录入准确度;最后,将提出的改善措施在一门公共选修课上进行了应用,取得了良好效果.

Aiming at the batch production Flexible Job Shop Scheduling Problem(FJSP)with dual-resource, a multi-objective elaborate scheduling method is proposed. Firstly, aiming at the characteristic of batch production FJSP with dual-resource, a multi-objective optimization model is established with the objective to minimize the manufacturing cost and makespan. Secondly, five elaborate scheduling techniques for batch production FJSP with dual-resource are proposed. Thirdly, an improved NSGA II algorithm is presented and designed to resolve the model. Finally, the effectiveness of the proposed research is validated by case study.

An improved method to optimize aggregate production planning based on dynamic programming is proposed. The aggregate production planning problem given from page 227 to page 230 in the book“Operation Research”editored by Gan Ying’ai is taken as the subject investigated in this paper. The shortage of the original optimizing problem of aggregate production planning, mathematic optimizing model, dynamic programming process and computation method is analyzed deeply in sequence and the corresponding improved measures are proposed for them. The effectiveness of the proposed method is tested by case study.

Aiming at the problem of robust continuous parameter design in the Target-being-best, in which the output value can be obtained by theoretical calculation, an optimization method based on genetic evolution is proposed. Firstly, the researched problem is described mathematically and an optimization model is established with the objective to minimize the average quality loss of a sample. Secondly, the optimization method based on genetic evolution for the researched problem is proposed. Thirdly, the genetic algorithm for robust continuous parameter design in the Target-being-best is presented and designed. Finally, the effectiveness of the proposed method is validated by case study.

A multi-objective optimization method for system reliability allocation was proposed. Firstly, a constrained multi-objective optimization model for system reliability allocation was established with the objective to maximize the system reliability, minimize the cost, volume and mass. Secondly, aiming at the characteristic of the model, a non dominated sorting genetic algorithm with elitist strategy (NSGA II) was presented and designed. In the algorithm, an object-oriented technique was introduced to map each individual to each corresponding object and a population to an array of objects, each individual was encoded by each corresponding vector made up of the selection indices of every function unit, the tournament selection strategy was used to implement the selection operation based on the ranks and congestion degrees of the individuals, a swap way of two-point gene segment was used to implement the crossover operation, a one point mutation way was used to implement the mutation operation and the Pareto operation was implemented based on the ranks and congestion degrees of the individuals. Finally, the effectiveness of the proposed research was validated by case study.

A heuristic balancing schedule method for complicated assembly line of single product based on Excellis proposed. Firstly, the general technical scheme for heuristic balancing schedule method for complicated assembly line of single product based on Excellis put forward. Then, five key techniques for the method are described, including how to map the assembly order graph to worksheet, how to calculate the subsequent procedures number and order value of a procedures, how to sort the procedures, how to get the balancing scheme and how to schedule according to the balancing scheme. The effectiveness of the proposed method is tested by case study.

A multi-objective elaborate scheduling method for batch production Flexible Job Shop Scheduling Problem (FJSP)is proposed. Aiming at the characteristic of batch production FJSP, a multi-objective optimization model is estab-lished with the objective to minimize the makespan and the total manufacturing cost. Five elaborate scheduling techniques for batch production flexible job shop scheduling problem are proposed. An improved NSGA II algorithm is presented and designed to resolve the model. In the algorithm, a technique of object oriented is introduced to deal with the compli-cated logical relation between different entities, an array coding technique is used to code the individuals, a segmented crossover and mutation operator is used to implement genetic evolution, the above five elaborate scheduling techniques are applied to improve the utilization ratio of machines during the decoding process. The effectiveness of the proposed research is validated by case study.

该文分析了我国高校基层业务管理存在的问题,针对问题提出了高校基层可视化业务管理模式,基于此模式开发了高校基层可视化业务管理系统。

针对我国大学本科的培养质量与市场需求的差距,提出了基于全面质量管理的本科教学改革措施,包括基于全要素质量管理的本科课堂教学改革措施、基于全过程质量管理的培养过程控制措施、基于全员质量管理的本科教学改革措施。

针对我国硕士研究生培养质量与市场需求的差距,系统分析了影响研究生培养质量的主要因素,针对这些主要因素提出了系统化的改革措施,包括硕士研究生培养质量综合评价指标体系构建、硕士研究生全过程质量控制措施和硕士研究生全员质量管理措施。

Aiming at the complication of multi-type and batch production system,to improve its production efficiency,considering four aspects of factors(man,machine,method and materials),a simulation optimization method based on Witness is proposed.The scientific problem to be researched is described.The simulation logic is designed.The key techniques for the simulation model construction are put forward.The effectiveness of the method is tested by simulation examination.