考虑中断的制造型供应链协调调度模型

供应链协调调度能有效提高企业应对供应链中断的能力。以两阶段制造供应链为研究对象，研究了中断情境下具有交付时间约束的多产品类型制造供应链协调调度问题。制造商接到包含多产品类型的工件加工订单，各工件需经供应商处理为原材料工件后，交付给制造商处理为完成品，各工件均有一个独立的交付期。如果供应商单方面调整工件加工顺序，会导致制造商冲突成本的增加，需双方协商处理。以最小化供应商总拖期交付成本和最小化制造商总冲突成本为目标，基于收益共享契约协调机制，构建了考虑中断的制造型供应链协调调度模型。设计了一个融合自适应邻域搜索算子的混合自适应遗传算法。通过算例仿真，验证了所提模型与算法的有效性。     

浅谈基于浸润原理的事务安排算法

针对单个安排事务避免冲突的传统方法 ,提出一种基于浸润原理的事物安排算法。该算法采用漫布式将各个事务分摊到各个位置 ,根据条件计算权值 ,并有意造成冲突 ,从而发现冲突位置 ,最后从最不可能冲突的位置入手 ,逐步完成安排过程。该方法事务安排的复杂度为 O(n2× k× x) ,大大减少事务安排所需的时间 .     

MkdV方程族的换位表示及其相应的Liouville完全可积系统

本文给出了ＭｋｄＶ方程族的换位表示及一个有限维对合系，并讨论了Ｂａｒｇｍａｎｎ约束和Ｃ．Ｎｅｕｍａｎｎ约束及其相应的定态ＭｋｄＶ系统。最后，我们得到ＭＫｄＶ方程族的对合解。     

用遗传算法解决一类模糊流水车间调度问题

对同时考虑模糊加工时间和模糊交货期的模糊流水车间调度问题进行了研究 ,模糊加工时间用三角模糊数来表示 ,模糊交货期用梯形模糊数来表示。应用遗传算法搜索最优排序 ,在适应度函数处理中引入模糊数处理方法 ,以平均满意度最大作为优化目标。最后给出了实验结果和结论     

约束数据库中的函数依赖公理系统与设计理论

约束数据模型作为一种新的数据模型正受到广泛关注。为了约束数据库的应用，需要研究它的设计。为此本文对约束数据库中的函数依赖给出定义，并提出函数依赖的公理系统，证明了它的有效性和完备性；在此基础上完成了约束数据库设计的核心工作：把约束关系模式分解为3NF或BCNF的算法。     

模式语义链元建模及其应用

大粒度的模型转换是模型驱动软件开发场景下的重要技术需求，仅通过定义通用模型转换语言不足以满足这一需求，其中一个原因是通用模型转换语言工作在特定建模语言的元模型层次而非一般设计意图层次上．文中提出一种模式语义链(PSL)元建模方法．通过重型扩展统一建模语言(UML)元模型以直接形式化描述可表达一般设计意图的模式，并应用UML动作语义和元模型继承实现模式自动生成及转换．该方法为实现一船设计意图层次上的大粒度模型转换提供了有效支持．     

LOGISTICS SCHEDULING： ANALYSIS OFTWO-STAGE PROBLEMS

This paper studies the coordination effects between stages for scheduling problems where decision-making is a two-stage process. Two stages are considered as one system. The system can be a supply chain that links two stages, one stage representing a manufacturer; and the other, a distributor It also can represent a single manufacturer, while each stage represents a different department responsible for a part of operations. A problem that jointly considers both stages in order to achieve ideal overall system performance is defined as a system problem. In practice, at times, it might not be feasible for the two stages to make coordinated decisions due to (i) the lack of channels that allow decision makers at the two stages to cooperate, and/or (ii) the optimal solution to the system problem is too difficult (or costly) to achieve.Two practical approaches are applied to solve a variant of two-stage logistic scheduling problems. The Forward Approach is defined as a solution procedure by which the first sta     

供需网的一个节点:供应链协同管理与决策

从供应链决策分析、决策支持技术及决策支持方法等几个方面探讨了供应链协同管理决策的理论和方法 .最后以生产商和销售商为例研究了双方共同获利的、协同决策的建模方法 .由此得出 ,为了实现供应链为增值链 ,减少开销 ,双方共同获利 ,协同决策是非常重要的 .     

FROM MANUFACTURING SCHEDULING TO SUPPLY CHAIN COORDINATION：THE CONTROL OF COMPLEXITY AND UNCERTAINTY

With time-based competition and rapid technology advancements, effective manufacturingscheduling and supply chain coordination are critical to quickly respond to changing marketconditions. These problems, however, are difficult in view of inherent complexity and variousuncertainties involved. Based on a series of results by the authors, decomposition and coordination byusing Lagrangian relaxation is identified in this paper as an effective way to control complexity anduncertainty.A manufacturing scheduling problem is first formulated within the job shop context withuncertain order arrivals, processing times, due dates, and part priorities as a separable optimizationproblem. A solution methodology that combines Lagrangian relaxation, stochastic dynamicprogramming, and heuristics is developed. Method improvements to effectively solve large problemsare also highlighted. To extend manufacturing scheduling within a factory to coordinate autonomicmembers across chains of suppliers, a decentralized supply chai     

SCHEDULING PROBLEMS - AN OVERVIEW

There seems to be a significant gap between the theoretical and the practical aspects of scheduling problems in the job shop environment. Theoretically, scheduling systems are designed on the basis of an optimum approach to the scheduling model. However in the practice, the optimum that is built into the scheduling applications seems to face some challenges when dealing with the dynamic character of a scheduling system, for instance machine breakdown or change of orders. Scheduling systems have become quite complex in the past few years. Competitive business environments and shorter product life cycles are the imminent challenges being faced by many companies these days. These challenges push companies to anticipate a demand driven supply chain in their business environment. A demand-driven supply chain incorporates the customer view into the supply chain processes. As a consequence of this, scheduling as a core process of the demand-driven supply chain must also reflect the customer view. In addition,