基于MRP模型的建筑企业物料管理系统的设计

通过研究建筑企业物料管理系统和MRP系统的各自特点 ,分析了在建筑企业中引入MRP管理思想的可行性和必要性 ,提出了一种基于MRP模型的建筑企业物料管理系统模型 ,并用VisualBasic 6.0和SQLServer7 0在Client/Server方式下实现了一个原型     

一种考虑价格折扣的MRP订货技术

进货批量的选择是MRP系统中一项重要的工作环节.本文提出了一种用于处理价格折扣的MRP进货批量最优化决策技术,通过仿真机算得到较好的结果.     

MRP物料分解运算时的公式处理算法研究

在机械加工行业的MRP物料分解过程中，不可避免会遇到公式处理等复杂计算问题。以某电梯企业MRP系统为例，介绍了公式处理的需求背景及算法原理，并列举出解决此问题的部分关键Power Script脚本。     

MRP系统应用中的技术问题及改进方案

针对MRP系统的应用现状,指出MRP系统是结合企业实际,对生产中的各项资源进行计划与控制,并结合有关生产职能所形成的一个综合性的生产信息系统。从变型产品、安全库存、生产提前期、批量几个方面分析了企业在实施MRP系统中存在的主要问题,并提出了修正实施MRP的方案对策,以充分发挥MRP的全部功能和作用。     

基于分布式结构的铁路工程建设信息管理系统

为适应铁路工程建设中信息管理的要求 ,在现代铁路建设中引入BPR、MRP等先进管理思想 ,以WindowsDNA技术设计开发出一种基于网络的信息管理系统 ,系统采用了全局数据库管理系统结构 ,降低了系统的构建及维护成本。最后 ,给出了系统的物料管理子系统的逻辑结构示意图 ,并列出构建该系统的主要程序段。     

LLC在MRP计算中的控制作用

本文介绍了MRPII/ERP系统中核心模块MRP的由来,通过案例最后归纳总结了LLC在计算过程中的主要控制作用,即减少MRP的计算量、控制MRP的计划顺序和避免物料短缺.     

MRP材料采购运算失真分析与修正

MRP运算是机械制造企业实施ERP/MRPⅡ系统的核心内容,对系统生成的采购计划产生直接影响.本文针对MRP材料采购计划产生失真的原因进行了分析,提出利用采购准确度技术来提高材料采购计划精度的措施,探讨了求解损耗修正因子和尺寸修正因子的基本步骤,推导出计算采购准确度的公式,并简要给出了修正MRP材料采购运算失真的算法实现.     

Monitoring the production of a supply chain with a revisited MRP approach

This paper examines the centralised monitoring of an upstream supply chain (USC) in the context of a mass customisation production system. We propose an adaptation of the material requirement planning framework to manage demand uncertainty at each stage of the USC. New analytical relations that exploit structural information on demand beyond the frozen horizon are developed for efficient decision-making and appropriate information sharing among the productive supply chain units. A numerical example to illustrate the implementation of the new analytical relations is provided, and a synthesis of benchmarks performed in the automotive industry is presented.     

Material planning with uncertain product quality†

Traditional material requirement planning (MRP) is a system procedure to determine input quantities and ordering times to meet a specified demand in a deterministic framework. A variety of modifications to MRP have been proposed to incorporate different forms of uncertainty in production systems. In this paper, wc consider the case where the uncertainty is due to quality variations in the production process, and we develop an approach which links material planning with quality variations and control.     

A comparison between genetic algorithms and the RAND method for solving the joint replenishment problem

The purpose of this paper is to compare the performance of genetic algorithms (GAs) and the best available heuristic, known as the RAND, for solving the joint replenishment problem (JRP). An important feature of the JRP which makes it suitable for GAs is that it can be formulated as a problem having one continuous decision variable and a number of integer decision variables equal to the number of products being produced or ordered. Experiments on randomly generated problems indicate that GAs can provide better solutions to the JRP than the RAND for some problems, and at worst can almost match the performance of the RAND from a practical point of view for the rest of the problems. GAs never converged to solution with a total cost of more than 0.08% of the total cost of the RAND for 1600 randomly generated problems. In addition, GAs have the advantages of: (i) being easy to implement (e.g. less than 200 lines of code); (ii) having a code which is easy to understand and modify; and (iii) dealing easily with constrained JRPs which are neglected by most of the available methods including the RAND, in spite of their importance in practice.