The Multi-Agent Modeling and Calculated Analysis of Shop Logistics Scheduling in the Manufacturing Enterprises

In this paper,the multi-agent model about shop logistics is set up. This model has 8 agents: raw materials stock agent,process agent,testing agent,transition agent,production information agent,scheduling agent,process agent and stock agent. The scheduling agent has three subagents: manager agent (MA),resource agent (RA) and part agent (PA). MA,PA and RA are communicating equally that guarantees agility of the whole MAS system. The part tasks pass between MA,RA and PA as an integer,which can guarantee the consistency of the data. We use a detailed example about shop logistics scheduling in a semiconductor company to explain the principle. In this example,we use two scheduling strategies: FCFS and SPT. The result data indicates that the average flow time and lingering ratio are changed using different strategy. It is proves that the multi-agent scheduling is useful.

Attractive Model and Marketing Implications of Theme Shopping Tourism Destination

This paper discusses the definition and connotation of Theme Shopping Tourism(TST) destination,and reveals the attractive distance of TST destination based on the utility function derived from the supposed demand function.An attractive model is deduced.According to this attractive model,it is can be known that the attractive distance is related to the price difference of the theme commodities between TST destination and tourist origin place,the average expenditure of transport,the demand elasticity of price,the actual price of sightseeing spot,the critical price that a tourist will afford,the number of nights that a tourist stays on the TST destination and the price level of accommodation in the TST destination.The change mechanism of attractive distance of TST destinations is revealed in this paper,and implications on TST marketing are put forward.First,theme commodities should be luxuries.Second,lower price is the primary pulling factor of theme shopping tourism.Third,the route combining with sightseeing spots is beneficial to shopping tourism.At last,TST development is one way of rejuvenating the falling destinations.

Emergency Tasks Planning Based on Formal Modeling of Emergency Plan and HTN Planning System SHOP2

A theoretical approach of ordered emergency tasks generation is proposed for dealing with a specific emergency event rapidly, exactly and effectively. According to the general principles of an emergency plan developed to response to an emergency management, a workflow model is employed to complete the formal modeling of concrete emergency plan firstly. Then the HTN planning system SHOP2 is introduced, the transformation method of domain knowledge from emergency domain to SHOP2 domain is studied. At last, the general procedure to solve the emergency decision prob-lems and to generate executive emergency tasks is set up drawing support from SHOP2 planning system, which will combine the principles (or knowledge) of emergency plan and the real emergency situations.

Modeling of biodiesel production: Performance comparison of Box–Behnken, face central composite and full factorial design

The performances of the response surface methodology(RSM)in connection with the Box–Behnken,face central composite or full factorial design(BBD,FCCD or FFD,respectively)were compared for the use in modeling of the NaOH-catalyzed sunflower oil ethanolysis.The influence of temperature,catalyst loading,and ethanol-to-oil molar ratio(EOMR)on fatty acid ethyl esters(FAEE)content was evaluated.All three multivariate strategies were efficient in the statistical modeling and optimization of the influential process variables but BBD and FCCD realization involved less number of experiments,generating smaller costs,requiring less work and consuming shorter time than the corresponding FFD.All three designs resulted in the same optimal catalyst loading(1.25%of oil)and EOMR(12:1).The reduced two-factorinteraction(2 FI)models based on the BBD and FCCD defined a range of optimal reaction temperature(25℃–75℃)and 25℃,respectively while the same model based on the 33 FFD appointed 75℃.The predicted FAEE content of about 97%–98.0%was close to the experimentally obtained FAEE content of about 97.0%–97.6%under the optimal reaction conditions.Therefore,the simpler BBD or FCCD might successfully be applied for statistical modeling of biodiesel production processes instead of the more extensive,more laborious and more expensive FFD.

Cyclic Reconfigurable Flow Shop under Different Configurations Modeling and Optimization Based on Timed Event Graph

Based on the idea that modules are independent of machines, different combinations of modules and machines result in different configurations and the system performances differ under different configurations, a kind of cyclic reconfigurable flow shops are proposed for the new manufacturing paradigm-reconfigurable manufacturing system. The cyclic reconfigurable flow shop is modeled as a timed event graph. The optimal configuration is defined as the one under which the cyclic reconfigurable flow shop functions with the minimum cycle time and the minimum number of pallets. The optimal configuration, the minimum cycle time and the minimum number of pallets can be obtained in two steps.

Research on Consumers' WeChat Shopping Behavior Based on TAM Model

In the era when online shopping economy and online economy increasingly dominate social consumption,WeChat shopping has increasingly become a way that everyone accepts and is willing to try.This study applied Technology Acceptance Model commonly used in the field of information technology and rational behavior theory to the field of consumer behavior,and used the perceived ease of use and perceived usefulness in the technology acceptance model to explain consumers'willingness to use WeChat shopping.At the same time,the moderating effect of consumer innovativeness was also studied.The empirical results show that the main effect of perceived ease of use and usefulness is significant,and the moderating effect of consumer innovativeness is not significant.Based on the research results,the study puts forward the corresponding countermeasures and suggestions.

多目标柔性Job Shop调度问题的技术现状和发展趋势

首先概述了多目标柔性Job Shop调度问题的基本概念,包括问题定义、常用假设条件、性能指标和问题的分类,讨论了其复杂性;其次,分别从建模、优化方法和原型系统研究方面综述了其发展过程和研究现状,对一类更加通用的多目标柔性Job Shop问题进行了简单的文献综述;最后指出了现有研究存在的问题与不足,并对未来的发展趋势进行了探讨。

基于Street Factory的城市三维模型构建方法研究

提出基于Street Factory的倾斜影像处理与三维模型快速构建方法,并用实际的Lecia RCD-30倾斜影像数据进行试验,对其中的控制点布设、模型精度等进行研究,可为倾斜影像在三维模型快速创建中的大规模应用提供一定的经验指导与技术支持。

钢管生产调度中可中断Job-Shop问题的数学模型

现针对国内大型钢铁企业钢管冷区生产调度的实际问题,在生产连续、库存限制、部分人工调度的情况下,利用离散化时间的方法把不可中断Job-Shop问题转化为可中断Job-Shop问题,建立该问题的混合整数规划模型,并利用ILOG公司CPLEX软件包对其大规模的可中断Job-Shop问题的算例进行求解,其解可指导冷区的实际生产调度。该模型在实际运用中已取得良好的结果。

基于遗传算法的Job-Shop调度问题求解

针对Job-Shop调度问题,详细讨论了遗传算法以及染色体编码方法,建立了算法模型。通过仿真实验,验证了该算法的有效性。

基于CSP的Job shop调度算法研究

针对一类典型的约束满足问题--Job shop调度问题,提出一种CSP调度算法框架,详细讨论CSP 调度算法中的工序开始时间窗、一致性预处理、搜索空间概率模型、工序排序启发、开工时间排序启发的求解 方法。仿真结果表明CSP调度算法在较小的计算时间代价下,获得了FT10标准调度问题的近优解。

加工时间随机可控Job Shop前摄调度研究

针对Job Shop环境中工序加工时间的不确定性,建立加工时间随机可控Job Shop调度问题随机模型。采用效率指标和鲁棒性指标对调度方案进行双目标评价。提出一种分层求解策略实现双目标优化,并采用嵌入最优计算量分配策略的遗传算法求解模型。仿真实验证明了所提出模型及优化算法的可行性。通过与直接采用均值-方差模型进行双目标优化得到的结果进行比较,证明了所提出的分层求解策略和算法可以获得综合性能更好的调度方案。

考虑工序相关性的Job Shop调度问题及其析取图模型

提出了一类考虑工序相关性的Job Shop调度问题,对工序相关性从代数描述、甘特图表示和类型转换等方面进行了较为系统的数学描述;进一步提出在经典的车间作业计划析取图模型中,通过加入相关弧以表示工序的相关性。具体叙述了相关弧的添加方法及考虑工序相关性的 Job Shop调度问题的析取图建模方法,并对一实例进行了建模。

面向IC生产模式的Job Shop调度问题的研究

针对即时定制生产模式的车间调度的特点,提出基于粒子群算法(PSO)的车间调度问题的解决方案。利用粒子群算法本身的优越性解决复杂的车间作业排序问题,克服了传统调度算法存在寻优效率低或全局寻优能力差的弱点。对粒子群的编码及寻优操作进行研究,确定了更适合车间调度问题的编码和操作方式,并将算法进行编程,应用到系统的车间调度部分。仿真结果表明,通过设置适当的参数,可以快速地得到理想的排序结果,能够适用于IC生产模式的车间调度问题。

基于Abstract Factory模式的C#实现

随着面向对象设计技术的日益广泛运用,作为可复用技术基础的设计模式也得到了深入研究。本文结合C#语言,就创建模式中的AbstractFactory给出了一种可行的实现方式。

基于改进SCE算法的Job Shop调度方法研究

Job Shop Problem(JSP)是生产调度领域中的一类复杂的调度问题,高效JSP求解算法的研究与设计是JSP,乃至整个生产调度领域的关键研究内容。引入新的智能仿生算法Shuffled Complex Evolution(SCE),以求解工件的最小最大完成时间为目标,通过序列映射方式将连续定义域空间中的变量映射到离散的组合优化问题空间中,同时采用基于工序编码的方式进行编码,最后使用顺序插入解码机制对其解码。并针对基本SCE算法在求解优化问题时求解质量差和求解速度慢等缺点,对算法中个体的进化过程进行改进,使个体进化的方向沿着当前群体最优解的方向进行。最后将此算法用于求解典型的Job Shop调度实例,结果表明,改进SCE算法在解决Job Shop调度问题上是有效的。

Evaluation of the effect of geometrical parameters on stope probability of failure in the open stoping method using numerical modeling

Stress-induced failure is among the most common causes of instability in Canadian deep underground mines.Open stoping is the most widely practiced underground excavation method in these mines,and creates large stopes which are subjected to stress-induced failure.The probability of failure(POF)depends on many factors,of which the geometry of an open stope is especially important.In this study,a methodology is proposed to assess the effect of stope geometrical parameters on the POF,using numerical modelling.Different ranges for each input parameter are defined according to previous surveys on open stope geometry in a number of Canadian underground mines.A Monte-Carlo simulation technique is combined with the finite difference code FLAC3D,to generate model realizations containing stopes with different geometrical features.The probability of failure(POF)for different categories of stope geometry,is calculated by considering two modes of failure;relaxation-related gravity driven(tensile)failure and rock mass brittle failure.The individual and interactive effects of stope geometrical parameters on the POF,are analyzed using a general multi-level factorial design.Finally,mathematical optimization techniques are employed to estimate the most stable stope conditions,by determining the optimal ranges for each stope’s geometrical parameter.

基于Pet shop与Duwamish的多层架构设计与实现

分析了Microsoft在.NET中提出的Petshop与Duwamish体系架构,阐述了两种架构对应的Factory模式与Facade模式。通过比较两种架构和模式的特点,提出了结合两者优点,具有高扩展性、灵活而高效多层体系架构。以实际项目为例,给出了新架构的“高内聚、低耦合”、高性能、低代码错误率的具体实现。

基于改进量子遗传算法的Flow-Shop调度求解

针对Flow-Shop调度问题,提出一种改进的量子遗传算法,重点对量子变异和量子灾变等操作算子进行改进,提出局部量子位变异和局部量子灾变等操作算子。给出Flow-Shop调度问题的数学模型,提出了用量子遗传算法求解Flow-Shop调度问题的量子比特编码和解码方法,介绍算法的计算流程。仿真实验结果表明:改进的量子遗传算法具有收敛速度快、鲁棒性好等优点。

Project Scheduling问题和Job-Shop问题的神经网络解

Project Scheduling问题和Job-Shop问题是著名的NP难题。本文用神经网络方法去解这两个问题,软件模拟结果是令人满意的。这种方法也为解一大类组合优化问题提供了一个新的途径。