HEURISTIC MODELING FOR A DYNAMIC AND GOAL PROGRAMMING IN PRODUCTION PLANNING OF CONTINUOUS MANUFACTURING SYSTEMS

At the first sight it seems that advanced operation research is not used enough in continuous production systems as comparison with mass production, batch production and job shop systems, but really in a comprehensive evaluation the advanced operation research techniques can be used in continuous production systems in developing countries very widely, because of initial inadequate plant layout, stage by stage development of production lines, the purchase of second hand machineries from various countries, plurality of customers. A case of production system planning is proposed for a chemical company in which the above mentioned conditions are almost presented. The goals and constraints in this issue are as follows： （1） Minimizing deviation of customer＇s requirements. （2） Maximizing the profit. （3） Minimizing the frequencies of changes in formula production. （4） Minimizing the inventory of final products. （5） Balancing the production sections with regard to rate in production. （6） Limitation in inventory of raw material. The present situation is in such a way that various techniques such as goal programming, linear programming and dynamic programming can be used. But dynamic production programming issues are divided into two categories, at first one with limitation in production capacity and another with unlimited production capacity. For the first category, a systematic and acceptable solution has not been presented yet. Therefore an innovative method is used to convert the dynamic situation to a zero- one model. At last this issue is changed to a goal programming model with non-linear limitations with the use of GRG algorithm and that＇s how it is solved.

Structured plan and its execution for extended goals

In many real world planning domains, some observation information is optional and useless to the execution of a plan, and the information acquisition may require some kind of cost. So it is significant to propose a framework for planning with extended goals under partial observability, which can adapt to the idea of observation reduction. In this paper, a method was proposed to solve the problem. The definition of structured plans was given, which can encode sequential, conditional and iterative behaviors, and are expressive enough for dealing with incomplete observation information and with extended goals. In order to express extended goals over sub-plans and observation information, the interpretation of basic propositions in K-CTL and EAGLE (two important languages for expressing temporal requirements in nondeterministic domains) was extended.

CHINA'S NON-FERROUS METALS INDUSTRY——Its Development Policies and Goals During the Ninth Five-year Plan Period

The China Non-ferrous MetalsIndustry Corporation has putforward ten development policiesfor the Ninth Five-year Plan period,according to the central government’sinstruction to change the way of economicgrowth,and raise the integral quality andbenefit of the national economy:

Goal Attainments and the Role of Metacognitive Self in Task Accomplishment

Based on metacognition theories we present a construct of metacognitive self(MCS)as self-awareness of biases.Contrary to counterintuitive idea metacognitive self fosters self-regulation in the area of goal’s attainment.Study 1(N=118)showed that high metacognitive self individuals created more clear mental picture of their plans than low metacognitive self counter partners.Moreover participants high in metacognitive self undertook more actions to fulfill their goals then low MCS colleagues.Study 2(N=201)revealed that high metacognitive self individuals strive for autonomy and they work much better to attain their goals in the no load settings,while low metacognitive students work much better under supervision.

Multi-Objective Production Planning Using Lexicographic Procedure

This paper presents a multi-objective production planning model for a factory operating under a multi-product, and multi-period environment using the lexicographic (pre-emptive) procedure. The model objectives are to maximize the profit, minimize the total cost, and maximize the Overall Service Level (OSL) of the customers. The system consists of three potential suppliers that serve the factory to serve three customers/distributors. The performance of the developed model is illustrated using a verification example. Discussion of the results proved the efficacy of the model. Also, the effect of the deviation percentages on the different objectives is discussed.

Study on Objectives and Strategies for Energy Conservation and Emission Reduction in Transportation Industry during the 13th Five-Year Plan Period in Beijing

Facing increasing passenger and cargo transport demand and limited re-source in the 13th Five-Year period, how to make a breakthrough and substantial progress has become a key issue on planning and the Top-level Design. In this paper we judged and analyzed the current development and potential demand of the energy saving and emission reduction in Beijing traffic industry. Through application of energy and emission prediction model which based on the vehicle activity data, the development goals of “one drop, double control, and triple upgrade” have been put forward. In order to achieve the goal, “5 + 1” development strategies should be implemented, and we also proposed the thinking and recommendations on sustainable development of transportation.

风电—光伏—光热发电系统联合优化运行研究

“风光热储”是近几年多种新能源互补发电的新模式,以有效解决用电高峰期和低谷期存在的电力输出不平衡问题,并提高能源利用率,实现清洁发展。为此研究了光热电站的运行机理和工作模式。建立了风电—光伏—光热发电系统联合优化运行模型,以高优先级优化匹配调度曲线的程度,以低优先级优化联合系统的可再生能源消纳能力。为提高风力发电、光伏发电并网的可靠性,采用预测误差描述二者出力存在的不确定性,并采用样本均值近似法对其进行了确定化处理。然后对优化模型中的非线性因素进行了线性化处理,最后调用Cplex求解器得出联合系统最佳调度方案。结果表明,光热电站可以调节联合发电系统的上网功率,使其尽可能满足调度曲线的需求;另外,采用样本均值近似法处理不确定变量,并且将优化模型线性化后,可以更加快速地求出最优解。

RPBTC: An Implementation Method for Robot Planning

Aiming at the former formalized methods such as Strips, Situation Calculus and Fluent Calculus can not represent the action time and get the action sequence automatically, a novel method based on timed color Petri net—RPBTC was defined. The action time, the precondition and the post-condition of action are formalized in RPBTC based on the Fluent Calculus reasoning rules. An algorism for constructing the RPBTC net system based on bidirectional search strategy is proposed, and through executing the RPBTC net system, the action sequence for reaching the goal can be generated dynamically and the time for the robot reaching the goal also can be obtained. The experiment has proved the method RPBTC as a feasible method for robot planning.

基于路径规划特点的语义目标导航方法

为了解决语义目标导航任务中存在的探索效率低、深度不精准等问题,本文构建了一个解决语义目标导航任务的框架,在语义地图构建模块中引入了深度图边缘处理以及地图纠错机制;在探索模块中引入了覆盖范围最大化算法;在路径规划模块中引入了替代点机制。本文在一个3D仿真环境下进行了实验。实验结果表明,本文提出的解决方案明显提升了语义目标导航任务的性能。此外,本文所提方法成功应用到了四足机器人上,从而验证了其在现实场景下的泛化性。

Comparative Geospatial Planning Model for “Location Specific” Intervention and Continuous Improvement Strategy

Sustainable development can only be achieved by conscious planning and implementation of action plans. Decision making requires a careful selection of the right conceptual framework and models for planning and implementation processes. Planning process models dictate in very clear terms what must be done and how it is done to achieve a successful completion of a process of activity [1]. Since about 80% of data used to support decisions are geographically related [3], it is necessary to put Geographic Information Systems (GIS) at the core of the planning and implementation model. There exists a great disparity in a heterogeneous world. The locational disparity in achieving sustainable development, therefore, necessitates a planning model that is “location specific” i.e. identifies areas (locations) requiring intervention and areas (locations) requiring continuous improvement strategies. This was achieved in this study by reviewing Bell’s Information System Strategic Planning Model and Kaufman’s Strategic Planning Model, and the designing of new model to overcome the limitation of existing models. Practical application of the new model was carried out in education planning and administration in order to achieve the global goals for sustainable development 4 (quality education). Finding shows that the Comparative Geospatial Planning Model for “Location Specific” Intervention and Continuous Improvement Strategy is useful to support the achievement of sustainable development goals in multidisciplinary, multi-sector applicable instances.

第十五届全国运动会推动粤港澳大湾区服务国家发展大局的历史进程、价值目标与实践进路

中华人民共和国第十五届运动会(以下简称“第十五届全国运动会”)是党和政府依托大型体育赛事促进区域协调发展的实践典范。采用文献资料分析、比较分析和逻辑分析法,探究第十五届全国运动会推动粤港澳大湾区服务国家发展大局的历史进程、价值目标及实践进路。研究发现,广东、香港地区和澳门地区在体育领域经历了从探索交流到广泛交流、从深度合作到协同发展的历史演变进程。第十五届全国运动会在推动粤港澳大湾区服务国家发展大局方面具有丰富的时代价值,包括促进粤港澳大湾区携手并进、利益共享和凝心聚气。当前,世界正经历百年未有之大变局,赛事筹备仍面临行政管理制度差异较大、要素流动与资源配置不畅、文化发展与价值观念存在差异等现实挑战。据此提出第十五届全国运动会推动粤港澳大湾区服务国家发展大局的实践进路:1)打造三地协同合作新范式,丰富“一国两制”实践内涵;2)推动资源要素优化配置,激发区域协调发展新动能;3)传承民族共同文化记忆,铸牢中华民族共同体意识。

A Weighted Goal Programming Model for the DASH Diet Problem: Comparison with the Linear Programming DASH Diet Model

A Linear Programming DASH diet model for persons with hypertension has previously been formulated and daily minimum cost diet plans that satisfy the DASH diets’ tolerable intake level of the nutrients for 1500 mg a day Sodium level and different daily calorie levels were obtained using sample foods from the DASH diet eating plan chart. But the limitation in the use of linear programming model in selecting diet plans to meet specific nutritional requirements which normally results in the oversupply of certain nutrients was evident in the linear programming DASH diet plan obtained as the nutrient level of the diet plans obtained had wide deviations of from the DASH diets’ tolerable upper and lower intake level for the given calorie and sodium levels. Hence the need for a model that gives diet plans with minimized nutrients’ level deviations from the DASH diets’ tolerable intake level for different daily calorie and sodium level at desired cost. A weighted Goal Programming DASH diet model that minimizes the daily cost of the DASH eating plan as well as deviations of the diets’ nutrients content from the DASH diet’s tolerable intake levels is hereby presented in this work. The formulated weighted goal programming DASH diet model is further illustrated using chosen sample foods from the DASH food chart as used in the work on the linear programming DASH diet model for a 1500 mg sodium level and 2000 calories a day diet plan as well as for 1800, 2200, 2400, 2600, 2800 and 3000 daily calorie levels. A comparison of the DASH nutrients’ composition of the weighted Goal Programming DASH diet plans and those of the linear programming DASH diet plans were carried out at this sodium level and the different daily calorie levels. It was evident from the results of the comparison that the weighted goal programming DASH diet plans has minimized deviations from the DASH diet’s tolerable intake levels than those of the linear programming DASH diet plans.

基于BRS-RRT^(*)算法的移动机器人路径规划

针对Informed-RRT^(*)算法在路径规划中收敛速度低、目标性差且所得轨迹不平滑的局限性,提出一种面向目标的区域采样双向RRT^(*)算法。首先,引入双向贪婪搜索策略获得采样点,加快算法搜索速度的同时改变随机树的扩展规则,增强其目标导向性;其次,得到初始解后,于轨迹节点附近展开形成启发式采样区域,在该区域内通过节点重构策略不断迭代,优化路径长度;最后,采用中间点插值和三次样条曲线相结合的方法,完成对路径的平滑处理。仿真实验表明,改进算法能够在不同环境地图中以更短的运行时间生成节点数更少、代价更小、更为平滑的路径。

目标型政党:一种关于新型政党的理论分析与经验阐释

目标型政党是从马克思主义政党理论中提炼和发展出来的新型政党形态和理论话语。它是一种以马克思主义为指导,以实现人类解放为最终目标,通过构建多层次目标体系,确立多维度使命契约,实施中长期发展计划,接续推动目标实现的政党类型。作为一种目标型政党,中国共产党始终以目标引领国家发展与治理,其提出的奋斗目标具有人民性、系统性、渐进性、问题导向性和可实现性等内在特征。在革命、建设和改革的不同历史时期,中国共产党坚持以自我革命引领社会革命,不断推进政党领导体制和国家制度体系建设,持续构建和完善政府、市场和社会协同互动的社会主义国家治理体系,有目的、有计划、有步骤地推进中国式现代化发展,逐步实现多层次多维度多方面的目标任务。

大学生民法典教育的有效策略研究

高校开展大学生民法典教育目标应当是理解和掌握习近平法治思想,认同和践行社会主义核心价值观,领会和弘扬社会主义道德,培养和提升法治素养。通过问卷调查,从“民法典的认知、民法典的崇尚、民法典的用法”等三个维度了解大学生对民法典的认知现状。在明晰教育目标、把握学情的基础上,构建民法典教育的有效路径有:秉持“政治性、价值性和法治性统一”的教育原则;注重“一个聚焦”与“三个阐释好”的教育内容;充分发挥学校教育的主导作用。

不确定采摘环境下改进RRT算法的机械臂路径规划研究

由于果蔬采摘环境的不确定性和复杂性,机械臂在复杂环境中完成采摘,其路径规划需考虑实时避障。为实现采摘机械臂在不确定环境下安全采摘,提出一种改进RRT的动态避障算法,以提升机械臂在不确定采摘环境的适应性。针对基本快速扩展随机树算法(Rapidly-exploring Random Trees,RRT)在动态环境下迭代时间长、路径长、适应性差等问题,在RRT算法的基础上,引入目标导向策略,把终点以一定概率作为随机采样点的采样方向,提高算法的迭代效率;引入动态检测机制,对已完成规划的初始路径进行实时检测,使算法适应动态变化的环境。通过仿真分析改进RRT算法,结果表明:改进RRT算法的路径减少16%,迭代时间缩短86.5%;同时,动态检测机制使算法适应动态环境。

面向“双碳”战略,科研引领创新人才培养——《环境规划与管理》课程教学创新探索与实践

二十大报告指出“双碳”战略是一场广泛而深刻的社会经济系统性变革,对人才的专业性、创新性和实践性都有很高的要求。强化国家战略目标、市场需求与学科建设间的联系,及时调整和更新传统教学理论和教学模式,已成为“双碳”战略背景下高等教育改革的重要方向。如何以“双碳”牵头,推动人才培养提质增效是一个值得思考的命题。选择《环境规划与管理》课程为对象,重点针对双碳知识要素的时滞性、实践特色不足、教学效果评估单一的现实问题,以“双碳”目标驱动课程教学体系创新探索,通过双碳政策梳理以及低碳消费案例解析重构了教学内容,设计低碳消费行为实验、碳积分核算实验以及绿色选材实验增加了课程的教学实践环节,融合问卷量表与电生理技术量化分析学习效果丰富了教学评价方法,形成了课程体系闭环路径,为探索“双碳”人才培养的课程体系建设提供了参考。

医院智慧后勤建设的路径分析

通过调研,从人、财、物、信息化管理等方面分析了医院后勤管理面临的难题;提出了推进医院后勤智慧化落地的7个举措,包括统一规划目标、组织思想统一、标准制度统一、基础数据统一、服务入口统一、建立人员培养体系、信息化系统建设。