基于代理的分散式生产-分销系统协同计划模型

为突破传统计划模型研究的局限性,将代理机制扩展到供应链系统环境下的生产—分销模型中,并在此两级供应链环境下建立了生产代理和分销代理间的协同计划模型。假设需求数据已知,构建了生产代理模型、分销代理模型和生产—分销协同计划模型,使得此两级供应链的需求被满足的同时,生产商和分销商的总成本最小,并给出了运算步骤及协同方法。通过协同求得了制造商的最小可能生产能力,并通过定理证明了此协同机制的收敛性。最后,通过算例分析及与集中式计划模型的对比,验证了分散式生产—分销代理协同计划模型的有效性。     

基于多监控模式的敏捷供应链生产过程控制

根据敏捷供应链生产过程控制的特点,提出了基于多监控模式的生产过程控制方法。根据敏捷供应链对各种物料的生产情况和监控需求的差异,定义了商品级监控、库存级监控、部件级监控和工序级监控4种监控模式。为了解决生产过程中的拖期问题,提出了生产过程协同控制方法,并提供了局部协调、全局协调和任务再分配等不同的处理方法。通过应用分析,证明了该方法对协同生产过程控制的有效性。     

分散决策供应链生产计划协同研究

为解决多级、多产品、分散供应链系统生产计划协同问题,提出了一种基于拉格朗日松弛算法的生产计划协同模型.在该模型中,建立每个企业独立的生产计划模型,使用拉格朗日松弛算法,松弛掉企业之间的物流平衡约束,将需要集中决策的供应链生产计划协同问题,分解为企业间分散的独立决策问题;运用次梯度算法对拉格朗日因子进行更新,通过反复迭代的优化过程实现生产计划协同.仿真实验表明,基于拉格朗日松弛算法的供应链协同对复杂供应链系统能够较好地逼近最优解,协同效果和收敛速度优于遗传算法.     

利用拉格朗日松弛算法协调多厂供应链生产计划

为了解决多厂供应链生产计划的协调问题,提出了一种基于拉格朗日松弛算法的内部价格协调优化策略。该策略通过松弛工厂之间的物料耦合约束,将整个供应链的生产计划问题分解为多个单厂的生产计划问题。每个工厂只需利用本地信息制定各自的生产计划。为了获取问题的可行解,又提出了一种前溯式可行化方法,通过协调中心对产品内部价格（拉格朗日算子）的迭代更新,实现整个供应链生产计划的协调优化。仿真实验表明,该策略能够较好地协调多厂供应链计划,结果明显优于已有的协调方法。     

Distributed planning of collaborative production

Collaborative production is viewed in two related dimensions: collaboration among machines to achieve increased reliability, quality and productivity; and collaboration between machines and human supervisors to combine internal and global control information. A structure, combining centralised planning and human-machine integration, is developed for distributed planning of such collaborative production. The centralised planning relies on game-theoretic optimisation techniques supported by knowledge-based rules for coalition formation of cooperating production operations. The product of the centralised planner is a general, common production plan. The feasibility of this model is demonstrated mathematically. If the centralised planner cannot reach a solution, then human input is sought. For integrating the human and machine knowledge to reach effective solutions, a neural network model is demonstrated. A simulation demonstrates that the distributed human and machine inputs can be combined under this framework. Such a distributed planning structure can overcome the major difficulties encountered in computerised production systems that seek full automation.     

生产配送协同计划问题研究

针对单工厂、多产品、多周期、单配送中心的供应链网络,研究了生产、配送协同计划问题,构建了生产、配送协同计划模型,提出了用于求解该问题的粒子群算法方案,阐明了该算法方案的具体实现过程.采用分离策略提出独立决策下的生产计划问题模型和配送计划问题模型.仿真实例的计算结果表明协同决策可以有效地降低供应链成本.     

流程工业通用多智能体系统生产计划调度的原型系统

流程工业中的计划调度是由全流程优化单元和若干局部流程优化单元组成的,这些单元构成了一个典型的层次结构的多智能体系统。我们对此系统进行了研究,并建立了基于多智能体系统的体系结构,具有通过性的流程工业计划调度原形试验系统。本文研究的问题包括系统结构、Agent之间的协作、过程数据通讯和存储、控制信息通讯协议和系统工作过程。相信,此研究对于建立实用的分布式生产优化计划调度系统将具有推动作用。     

供应链环境下生产计划的协调制定研究

在阐述供应链环境下生产计划特点的基础上,提出在供应链环境下生产计划系统的层次模型,就供应链环境下生产计划系统各部分的协调性制定进行解释,介绍如何采用企业资源计划(ERP)和约束理论(TOC)相结合的方法制定生产计划.     

工艺规划为核心的产品协同研发生产平台

为实现具有市场竞争力产品的高端研发,并具备较高的质量及成本控制能力,文中提出构建以工艺规划为核心的产品数字化研发生产平台的解决思路.平台框架包含计算机辅助设计、产品数据管理、计算机辅助工艺规划和协同制造模块;通过工艺与设计、生产两端的数据共享,实现设计、工艺数据和生产的高效协同;通过工艺规划方案的功能描述,展现了一个为...     

供应链网络制造系统生产计划分解模型的研究

供应链管理跨越企业界限，具有集成性和时效性，其生产计划系统具有分布性、自治性和开放性等特点，传统的生产计划方法已经不能适应供应链这种新的组织模式。这里对供应链企业生产计划系统特点进行分析，构建了供应链网络制造系统三层次模型，并在此基础上提出了网络制造系统中供应链生产计划的分解模型。     

Concurrent process/inspection planning for a customized manufacturing system based on genetic algorithm

Producing products with multiple quality characteristics is always one of the concerns for an advanced manufacturing system. To assure product quality, finite manufacturing resources (i.e., process workstations and inspection stations) could be available and employed. The manufacturing resource allocation problem then occurs, therefore, process planning and inspection planning should be performed. Both of these are traditionally regarded as individual tasks and conducted separately. Actually, these two tasks are related. Greater performance of an advanced manufacturing system can be achieved if process planning and inspection planning can be performed concurrently to manage the limited manufacturing resources. Since the product variety in batch production or job-shop production will be increased for satisfying the changing requirements of various customers, the specified tolerance of each quality characteristic will vary from time to time. Except for finite manufacturing resource constraints, the manufacturing capability, inspection capability, and tolerance specified by customer requirement are also considered for a customized manufacturing system in this research. Then, the unit cost model is constructed to represent the overall performance of an advanced manufacturing system by considering both internal and external costs. Process planning and inspection planning can then be concurrently solved by practically reflecting the customer requirements. Since determining the optimal manufacturing resource allocation plan seems to be impractical as the problem size becomes quite large, in this research, genetic algorithm is successfully applied with the realistic unit cost embedded. The performance of genetic algorithm is measured in comparison with the enumeration method that generates the optimal solution. The result shows that a near-optimal manufacturing resource allocation plan can be determined efficiently for meeting the changing requirement of customers as the problem size becomes quite large.     

Dynamic planning with a wireless product identification technology in food supply chains

An innovative planning model has been developed for perishable food supply chain planning. The model maximises product values for consumers instead of merely reducing costs. The information which can be derived from RFID enabled control systems for product units (at palette or crate level) has been used to identify dynamic product quality status. Then, the information is used to optimise product allocations from manufacturers to distributors and retailers. The objective is to minimise lost value of products and maximise profits for supply chain partners. The real-time control towards value maximisation becomes possible with the real-time product quality information from RFID systems. An illustrative case has been described for simulating the dynamic planning process.     

基于启发式思想的供应链产能规划研究

供应链产能规划属于多阶多厂产能规划问题,具有不同于传统的单厂产能规划的复杂特征。分析了与传统产能规划的区别。构建了供应链产能绩效指标体系,提出基于粗糙集理论的评价方法。以此为基础,提出了基于启发式思想的供应链产能规划方法及步骤。给出的案例也证明了所提产能规划方法的有效性。     

Supply coordination based on bonus policy in assembly under uncertain delivery time

The existing research of supply coordination under uncertain delivery time mainly focuses on the collaboration between the supplier and the manufacturer, which aim at minimizing the total cost of each side and finding comparative optimal solutions under decentralized decision. In the supply coordination, the collaboration between suppliers in assembly system is usually not considered. As a result, the manufacturer’s production is often delayed due to mismatching delivery of components between suppliers. Therefore, to ensure supply coordination in assembly system, collaboration between suppliers should be taken into consideration. In this paper, an assembly system with two suppliers and one manufacturer under uncertain delivery time is considered. The model is established and optimal solution is given under decentralized decision. Furthermore, the cost functions of two suppliers are both convex, and a unique Nash equilibrium exists between two suppliers. Then the optimal decision under supply coordination is analyzed, which is regarded as a benchmark for supply coordination. Additionally, the total cost of the assembly system is jointly convex in agreed delivery time. To achieve supply coordination a bonus policy is explored in the assembly system under uncertain delivery time, and the total cost under bonus policy must be lower than under decentralized decision. Finally the numerical and sensitivity analysis shows the cost of assembly system under bonus policy equals that under supply coordination, and the cost of each side in assembly system under bonus policy is lower compared to that under decentralized decision. The proposed research minimizes the total cost of each side with bonus policy in assembly system, ensures the supply coordination between suppliers and the manufacturer, and improves the competiveness of the whole supply chain.     

以DBR理论为基的供应链协同产能规划

传统的单厂产能规划模式无法适应供应链竞争环境。分析供应链产能规划与传统产能规划模式的区别。基于鼓-缓冲器-绳(DBR)理论的瓶颈思想和协同思想,提出供应链协同产能规划思想,并分别提出供应链瓶颈层和非瓶颈层的产能规划方法,与DBR理论的生产目标相适应,供应链产能规划目标不再单纯考虑成本因素,而是以最大化产出,同时兼顾成本和准时交货为目标。算例结果证明了规划方法的可行性和有效性。     

An RFID-based remote monitoring system for enterprise internal production management

The disconnected flow of inventory and information will lead to a lack of real-time information and a build-up of excess inventory to buffer uncertainties in supply and demand. In this paper, a radio frequency identification (RFID) based remote monitoring system over the Internet is proposed to provide a transparent and visible information flow for supply chain and enterprise internal resource management. RFID technology has been a hot technology to replace barcodes in supply chain management in recent years. Actually, it has been successfully applied by the US Army in military logistics in 1991. Recently, the superman of the supermarket, Wal-Mart, mandates that its top 100 suppliers must equip RFID tags on their supplied items. However, RFID technology is still not a standard form acceptable for global use. The first big problem is to select a global universal radio frequency (RF) for active and passive RFID systems, but because of the advantages of RFID technology, it is unassailable that it will be popularly used in various fields very soon, such as supply chain management, enterprise resources planning (ERP), sales management, and so on. In this paper, the RFID-based monitoring system for enterprise internal production management is introduced. The RFID technology, Bluetooth, and Internet technology are employed to form a remote system for the monitoring of the production status of a factory. Based on this system, the management department can transparently master and control the status of the production line and supply chain, including raw materials and outsourcing supply/consumption status, production status of parts and components, production status of the finished products, etc. This system will be of benefit to greatly improve the productivity and reduce the cost for the enterprise.     

基于协商的上下游供需合作计划模型研究

基于供需链上下游计划模型，通过计划共享，给出了上下游供需合作计划模型，根据价格，库存等外界因素，确定了企业与战略伙伴的合作关系，并通过协商对策的方法，最终使上下游企业达到“双赢”的目标，在数值实验中，讨论了“双赢”实现的条件及可行性。     

基于ERP的快速反应财务系统研究

ERP以供应链的思想为基础，各功能模块高度集成，借助计算机网络通信技术实现整个供应链的信息共享，可以有效地安排企业的销，供，产，有利于事前计划，事中控制，事后分析，快速响应市场需求。在分析ERP产生的背景及其管理功能的基础上，构建了基于ERP的快速反应及其管理功能的基础上，构建了基于ERP的快速反应财务系统的企业模型和业务蓝图，阐述了新时代财务管理应增加的功能，并对企业财务预警监测系统进行了探讨。     

供应链协同动因研究

供应链协同是指两个或两个以上企业为了实现既定的目标而采取的一种彼此协调和相互合作的过程。供应链协同动因的研究,对于认清供应链协同的本质,探索隐藏在供应链集成背后的合作动机与协同运作机制,具有十分重要的理论意义。文章在阐述供应链、协同、供应链协同等含义的基础上,详细的分析了供应链协同的动因。     

中小企业集群式供应链协同管理研究综述

为解决当前中小企业信息化进程中软硬件方面存在的众多资源限制问题,分析了中小企业集群式供应链管理模型,将中小企业集群式供应链协同管理分为跨供应链的横向企业群协同和供应链内部纵向企业群协同两个方面,综述了国内外中小企业集群式供应链协同管理技术的研究现状,最后对未来的研究趋势作出展望.