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 .     

基于正交实验的透气砖座砖中尖晶石含量的优化

实验根据不同粒度和多少的尖晶石对透气砖座砖常温和高温下强度以及重烧线变化、热震稳定性能的影响,采用正交设计法来确定最佳粒度的尖晶石的加入量。研究结果表明,尖晶石a粒度、b粒度、c粒度掺量分别为6%、10%、4%时,试样具有最好的使用性能。     

径向电磁离合器

一种新型结构的电磁离合器 ,可替代电磁联轴器。文中对这种离合器的工作原理、结构设计、参数选取和传动扭矩作了分析并给出了一种结构型式。试验样机证实了其工作原理的正确     

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     

新型薄壁柴油机缸体铸件的研制与应用

采用低合金化、合锑多元复合孕育剂、扫描电镜、200h台架试验、以及l000h耐久试验等方法对新型薄壁柴油机缸体铸件进行了研制与应用试验．试验结果表明：碳当量控制在3．9％--4．1％时(与菲亚特缸体的碳当量大体相当)，采用低合金化及合锑复合孕育剂，可稳定获得高强度铸件，抗拉强度σb＞270MPa，硬度HB＞210，白口倾向小，硬度差小于35HB，其性能均达到菲亚特缸体的性能要求．对无缸套缸体的缸壁表面进行激光处理，比传统缸套的耐磨性提高一倍以上．由于采用了无缸套缸体生产技术，简化了柴油机的结构，降低了柴油机的生产成本，提高了柴油机使用性能和技术含量．     

砌块建筑墙体构造与节能发展动态

从原料性能、生产工艺、产品质量等方面探讨了生产混凝土小型空心砌块的生产技术要素，指出利用工业废渣生产小型砌块符合国家的墙体改革和节能政策。     

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,