炼油企业全厂多周期生产计划优化研究

将生产过程和公用工程作为一个整体,建立全厂的多周期生产计划模型。全厂生产计划模型在传统的生产计划模型基础上细化了装置的能耗模型和集成了公用工程优化操作模型,实现了生产过程系统与公用工程的同时优化,避免了传统方法将生产过程系统与公用工程分割开来进行优化的缺陷。本文以中国北方某大型炼油企业为例,验证了模型的有效性。     

石化企业生产计划与能量系统集成研究

应用并行工程方法对生产计划与能量系统的集成进行了分析,提出了用于确定业务流程和信息流的业务过程模型,明确了系统的并行特性,采用并行工程方法建立了并行业务过程模型,并确定了用于数据建模的数据流,从而为集成效据库管理和集成软件系统的开发奠定了基础。     

炼油企业全厂生产计划系统设计与开发

采用面向对象方法,使用统一建模语言进行炼油企业生产计划系统的需求分析和系统设计。首先描述了生产计划系统的功能需求,包括数据管理、模型管理、模型发生器和过程分析等,并且采用序列图初步分析了系统核心功能生产计划的实现过程。在此基础上,进行系统的数据模型设计,包括公用数据模型,装置数据模型和物流数据模型。上述数据模型描述了炼油企业生产流程的静态结构和生产计划活动的信息。最后开发了软件OpTechPlan,并且在中国北方某炼油企业得到了初步的应用。     

炼化企业生产计划优化软件RPMS的应用研究

首先介绍了炼化企业的计划制定流程，并对国内计划优化软件的使用进行了分析总结；对RPMS软件的功能进行了说明，并对软件内部数据进行了分析。通过进行案例分析对RPMS软件在计划优化方面的功能进行研究说明，得出RPMS软件是完全能够满足国内炼化企业生产计划优化的需求。能够在日益激烈的国际市场竞争中提升企业的市场竞争力和企业的经济效益。     

汽车装配车间生产计划与调度的同时优化方法

文中提出三种新方法来解决汽车装配车间生产计划与调度的同时优化问题.首先将汽车装配线简化为一个Flow shop问题,并建立其混合整数规划模型,以求得使各装配工位的准备成本和空闲时间尽可能少并尽可能满足产品需求的粗生产计划.然后在粗生产计划的基础上考虑装配线的细节,用Tabu搜索法与快速调度仿真相结合的三种不同启发式算法使生产计划与调度同时得到优化,并给出了三种算法的复杂性.大量算例的比较研究表明了这些算法的有效性和适用性.     

炼油企业生产计划与重点装置工艺条件集成优化

传统的生产计划优化由于不考虑过程装置的操作优化,从而无法保证企业生产计划层与过程操作层的全局最优.为了在获得炼油企业最优生产计划的同时,确保计划优化中重点装置的操作条件可以实现,本文建立了集成装置工艺条件的炼油企业生产计划优化模型.该模型引入常减压装置侧线产品切割点温度、催化裂化装置转化率等过程工艺条件,基于物料质量平衡、产品质量指标约束等关系,进行厂级生产计划建模与求解,确定可达的装置操作条件.应用案例中重点通过与传统常减压装置侧线收率固定的生产计划方案比较,证明在满足可达的操作条件下,集成装置工艺条件操作范围的生产计划优化模型,可以实现更高的全厂利润与更优的装置收率分布,同时优化结果对炼厂实际生产更具有指导意义.     

基于动态规划的生产计划优化模型研究与应用

动态规划是运筹学的一个分支,是一种多阶段决策过程,可用于解决多目标决策问题,以使系统的总效果最优.以某企业生产计划的优化安排为实例,在该企业产品的生产能力、生产成本、库存成本等约束条件下,利用动态规划方法建立生产计划安排模型,通过模型求解解决了该企业产品生产计划的优化问题,同时以精练的C++代码实现了相应程序.     

跨国供应链战术生产计划研究

论文介绍了国内外跨国供应链战术生产计划研究概况,然后给出了一个跨国供应链战术生产计划非线性混合整数规划模型。模型的优化目标为税后利润最大化,考虑的宏观经济因素为汇率、关税、国内税率等;并且设计了遗传算法进行求解。模型的创新点在于在生产计划研究中引入转让价格、运输成本分配因子作为模型的决策变量。     

基于禁忌搜索的生产—库存—配送协同计划问题研究

针对具有一定生产期和存储期的快速消费品,从供应链集成的角度研究了确定性需求情形下多工厂、多产品、多客户供应网络的生产—库存—配送协同计划问题,并建立了多周期环境下生产—库存—配送协同计划问题的混合整数规划模型,以协同优化各工厂的生产计划、库存计划与配送计划.提出了求解该模型的禁忌搜索算法方案,且通过设计启发式顺序分配方法生成初始解,采用了从改进的2-opt和λ-interchange的邻域解中产生候选解的策略,给出了提出算法的具体实现过程.最后,通过测试算例的仿真结果,证明了禁忌搜索算法在求解该类问题时具有比混合遗传算法更强的鲁棒性,并且能够得到更好的解.     

制药企业生产计划系统研究与应用

文章在分析了制药企业生产特点的基础上,根据生产计划系统设计的流程,提出了制药企业生产计划系统的功能模型,并对系统功能进行了详细分析,最后还介绍了系统模型的建立和实现方法。     

石化企业整厂用能优化策略及应用

石化企业生产流程复杂,能量系统包括多种形式的能量转换、不同工艺和单元的能量利用,以及装置或者全厂范围的能量回收利用等.针对石化企业能量系统特点,按照能量演变规律及能量利用的本质,提出了分段递进式协同优化策略.首先进行工艺装置的用能优化,在此基础上进行装置间热联合考虑和换热网络优化等,接着展开罐区和辅助系统的用能优化,以及全厂低温热的综合回收利用,最后优化蒸汽动力系统,在全局范围内实现能量的综合优化利用.通过国内某大型石化企业全厂用能优化验证所提出优化方法的可行性和合理性,节能效果和经济效益明显,投资回收期约2年.     

A modified particle swarm optimization for aggregate production planning

Particle swarm optimization (PSO) originated from bird flocking models. It has become a popular research field with many successful applications. In this paper, we present a scheme of an aggregate production planning (APP) from a manufacturer of gardening equipment. It is formulated as an integer linear programming model and optimized by PSO. During the course of optimizing the problem, we discovered that PSO had limited ability and unsatisfactory performance, especially a large constrained integral APP problem with plenty of equality constraints. In order to enhance its performance and alleviate the deficiencies to the problem solving, a modified PSO (MPSO) is proposed, which introduces the idea of sub-particles, a particular coding principle, and a modified operation procedure of particles to the update rules to regulate the search processes for a particle swarm. In the computational study, some instances of the APP problems are experimented and analyzed to evaluate the performance of the MPSO with standard PSO (SPSO) and genetic algorithm (GA). The experimental results demonstrate that the MPSO variant provides particular qualities in the aspects of accuracy, reliability, and convergence speed than SPSO and GA.     

基于能量约束的多传感器故障非线性最优化规划决策机制

针对多传感器网络系统的稳定性和可靠性的保障问题,采用能量约束的故障检测技术,通过均衡非线性系统资源,提高故障检测效率和检测精度。同时,结合非线性多传感器系统资源情况和应用需求计算得到故障均衡权重系数,对故障提取特征并映射,建立通过多目标约束的最优化故障处理规划决策机制。实验结果表明：所提算法与传统故障检测处理算法相比,对故障节点定位准确,检测高效。另外,在故障处理时,通过非线性最优化决策降低了能耗,有效保障了多传感器系统的鲁棒性。     

A robust hierarchical production planning for a capacitated two-stage production system

In this paper, we propose a robust hierarchical production planning approach for a two-stage real world capacitated production system operating in an uncertain environment. The first stage of the system produces a set of semi-finished products having relatively stable annual demands, and the second finishing stage produces finished products having highly variable weekly demands. The fixed production setup costs incurred at the first stage are considerably high. Fixed production setup costs incurred at the second stage are fairly small compared to those of the first stage. We propose an integrated hierarchical planning model, where semi-finished products from the first stage (i.e. the aggregate level) are disaggregated into finished products to be produced in the second stage (i.e. the operational level). As a result of the relatively stable demands and the high setup costs experienced at the first stage, a cyclical aggregate planning model is proposed for production planning at the upper level of the hierarchical plan. Based on this aggregate plan, a modified periodic review policy is then proposed for production planning at the lower level. Finally, a coupling plan, linking the two planning levels, is proposed to ensure the feasibility of the disaggregation process at every period.     

A multi-agent system for minimizing energy costs in cement production

A cement production planning system is expected to minimize energy costs. Further, such a system needs to be as autonomous as possible to decrease time loss during the communication between related departments of the plant. Hence, in this paper, we present a multi-agent system (MAS) in which software agents work collaboratively in order to assist production, planning and sales departments of a cement plant for the generation of cost-effective cement production plans. Implemented system was deployed and actively used inside one of the plants of a leading cement company in Turkey. Evaluation result shows that the utilization of the proposed system caused a significant energy cost saving. Moreover, workers in the planning department of the cement plant saved approximately 75% of their working hour by using the system. Total workload of the employees (including all departments) decreased to its half.     

A Web-based process planning optimization system for distributed design

In this paper, a process planning module, which can optimize the selection of machining resources, determination of set-up plans and sequencing of machining operations to achieve optimized process plans, has been wrapped as services and deployed in the Internet to support distributed design and manufacturing analysis. The module includes four intelligent approaches, and a Tabu search-based approach is explained in this paper to illustrate the optimization process. A Web-based prototype system has been setup for users to carry out visualization-based manipulations and process planning of design models by invoking the services remotely. The Web-based system has been integrated with a distributed feature-based design system, and the latter can generate design models and re-represent them in an XML representation based on VRML and attributes of features to provide the input of the former. Through effective utilization of the Web and Java technologies, this system is independent of the operating system, scalable and service-oriented, and can be used by a geographically distributed design team to organize concurrent engineering design activities effectively.     

加氢装置能量优化浅议

未来我国各类加氢装置的投建数量将随着各类车用燃料和化工原料的品质要求越来越多、规模越来越大,加氢装置的能耗较高且各类加氢装置的流程非常相似,在认清加氢工艺流程的能量特点的基础上,打破传统的局部节能思维,采用将分离部分向反应部分回吐热量的方法进行全装置综合节能,并以一工程实例证明该节能思路的可行性。