基于CRM的订单管理系统

从客户关系管理的角度,对企业的订单管理进行了研究。分析了以客户为中心的订单管理的特点及其订单处理流程,提出了一个以客户为中心的订单管理解决方案。     

基于订单的服装企业生产排期算法

针对面向订单生产的服装上下游企业生产排期问题,提出以集中式供应链管理思想划分供应链角色的方法。分析订单驱动的工艺流程,面向核心企业建立加工商协调生产的排期模型。该问题的关键是合适的订单模型和加工商模型,通过考虑订单的重要性并设置条件筛选加工商,利用遗传算法实现更快求解。     

面向订单装配汽车制造企业网络订单管理系统

为满足客户多样化、个性化的需求,面向订单装配的生产组织方式近年来在汽车制造企业中得到了越来越多的应用,面向订单装配生产对企业的信息化提出了更高的要求.本文在分析我国中小汽车制造企业销售模式和订单管理业务流程的基础上,阐述了一个用以解决汽车整车制造企业与其经销商进行订单管理业务协作的网络化系统设计方案.     

基于MES的企业高级计划排产系统的设计

以某机械加工企业为例,分析该行业订单排产管理存在的挑战,应用面向多订单的APS高级排产和基于MES的集成开发等技术,提出高级计划排产业务过程设计方案,实现基于MES的高级排产系统,重点解决计划排产策略配置、计划手工调整、插单业务排产等需求难点,以满足企业加工中“多品种、小批量、常插单”的特点。     

按订单生产的高级计划与排程系统研究

分析离散型按订单生产的中小企业生产过程,建立生产计划系统模型,采用模拟退火算法设计了基于订单的生产计划和排程系统.     

供应链管理中的订单处理研究

订单处理是供应链管理中的一个重要部分,对于供应链的整体运作效率具有重要影响。对供应链管理中的订单处理流程进行了研究,建立了订单处理流程模型,给出基于多智能代理的供应链订单处理方法。     

基于平均强化学习的订单生产方式企业订单接受策略

从收益管理思想出发,采用平均强化学习算法研究不确定环境下订单生产(MTO)方式企业的订单接受问题。以最大化平均期望收益为优化目标,采用多级价格机制,把订单类型、价格和提前期的不同组合作为系统状态划分标准,结合平均强化学习原理,提出了具有学习能力的订单接受算法(RLOA)。仿真结果表明,RLOA算法具有学习和选择性接受订单的能力,与其他订单接受规则相比,在平均收益、订单类型接受状况和适应性等方面都有较好表现。     

基于移动agent技术的供应链订单流管理

面向订单的管理已成为供应链管理的重要内容,而先进的IT技术是使订单中的信息在供应链上各节点间流动与转化的有力支持。介绍了移动代理的优点及在供应链中的应用,并提出了基于移动代理技术的供应链订单流管理的模型和框架,对订单的处理过程和移动代理在订单流管理中的应用作了探讨。     

供应链管理下的企业效能评价模型研究

评价供应链管理的好坏,关键在于分析它为企业所带来的实际收益。依据平衡计分卡理论,构建供应链管理下的内在因果关系分析框架,表明学习与成长、供应链流程、顾客满意度和企业财务水平的相互联系,在此分析框架下,利用系统动力学模拟仿真的方法,探讨供应链整体运行效果和企业个体效能的关系,显示供应链协作时间的改进,经过因果链最终使企业利润发生多大程度的变动,这样,可以求解出供应链管理为企业所带来的实际效能,为企业实施供应链管理项目提供指导依据。     

Specifying information systems for business process integration – A management perspective*

Supply chain management and customer relationship management are concepts for optimizing the provision of goods to customers. Information sharing and information estimation are key tools used to implement these two concepts. The reduction of delivery times and stock levels can be seen as the main managerial objectives of an integrative supply chain and customer relationship management. To achieve this objective, business processes need to be integrated along the entire supply chain including the end consumer. Information systems form the backbone of any business process integration. The relevant information system architectures are generally well-understood, but the conceptual specification of information systems for business process integration from a management perspective, remains an open methodological problem. To address this problem, we will show how customer relationship management and supply chain management information can be integrated at the conceptual level in order to provide supply chain managers with relevant information. We will further outline how the conceptual management perspective of business process integration can be supported by deriving specifications for enabling information system from business objectives. This work has been funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung), record no. 01HW0196.     

Supply Chain Model for the Semiconductor Industry of Global Market

Supply chain management (SCM) is a new approach to satisfy customers of products and services via an integrated management for the whole business processes of the manufacturing from the raw material procurement to the product or service delivery to customers. With the rapid development of the information technology and global market environment the company is required to manage whole supply chain network to gain the competitiveness in business. Typically semiconductor industry is the one whose supply chain network is distributed all over the world, and its manufacturing process has the particular characteristics which has to be considered in the modeling of supply chain. In this paper we suggest the push and pull type supply chain models and their mathematical formulation for the semiconductor industry of the global market. Die bank between the front-end and back-end in the semiconductor manufacturing process is assumed to be the decoupling point by which two models are divided. Push supply chain model is based on the high throughput and the balance of the WIP flow, which takes the characteristics of re-entrant mechanism into account. Pull supply chain model is constructed considering order-based manufacturing, distribution and transportation process in order to meet customer's request appropriately. Development issues of the system and its implementation are also discussed.     

面向客户服务的煤炭检测企业实验室信息管理系统

针对目前煤炭检测企业实验室信息管理系统存在只限局域网内访问、数据连续性差、容易造成信息孤岛、覆盖范围小等问题,提出了一种面向客户服务的煤炭检测企业实验室信息管理系统。该系统使用.NET平台实现可扩展的开放式框架,通过工作流引擎实现模块协同服务,采用XML技术实现不同硬件接入访问,利用数据库对检测客户实现智能化管理及数据挖掘应用,根据外部需求实时变更内部管理制度。实际应用表明,该系统可有效提高客户满意度。     

准时化分布需求计划方法

在引入准时化生产思想的基础上,提出有限资源约束下的准时化分布需求计划问题,并建立了原始数学模型;然后通过数学推导,将其转换成一个线性规划问题,提出了准时化分布需求计划方法。计算结果表明,所提出方法能够合理地制定出极小化产品的提前／拖期惩罚费用、运输费用和生产成本费用总额的分布需求计划。     

人寿保险VIP客户管理系统的设计与实现

从业务数据库中筛选中高端客户信息,进行客户关系管理,是数据挖掘技术的具体应用。文章介绍了在UNIX和INFORMIX平台下,从人寿保险业务数据库中采集VIP客户信息进行深度管理的设计方案及具体实现方法,对系统数据采集、会员积分算法、级别异动、服务活动管理等问题进行了阐述。     

A time staged linear programming model for production loading problems with import quota limit in a global supply chain

Globalization has ushered in a new era when more and more companies are expanding their manufacturing operations on a global scale. This poses some special challenges and raises certain issues. This paper examines production loading problems that involve import quota limits in the global supply chain network. Import quota, which is imposed by importing countries (mostly in North America and Europe), requires that certain types of products imported into these countries are against valid quotas held by the exporters. Globally loading of production, therefore, requires new methods and techniques, which are different from those used in domestic loading of production. This paper presents a time staged linear programming model for production loading problems with import limits to minimize the total cost, consisting of raw materials cost, machine cost, labour cost, overtime cost, inventory cost, outsourcing cost and quota related costs. To enhance the practical implications of the proposed model, different managerial production loading plans are evaluated according to expected changes in future production policies and situations. A series of computational results demonstrate the effectiveness of the proposed model.     

Scenario aggregation for supply chain quantity-flexibility contract

In this research, we apply a scenario aggregation approach to solving the supply chain contract model formulated by two-stage stochastic programming problem. The supply chain contract can achieve the coordination between the buyer and the supplier. We formulate the stochastic programming model for a quantity-flexibility contract. The scenario aggregation method called the progressive hedging method is used to solve this problem. Experimental results show the convergence behaviour of the algorithm and the sensitivity of parameters.     

Managing distributed business processes in the virtual enterprise

In this work the supply–chain coordination in the virtual enterprise environment is subject of analysis. The system developed by UFSC-DBPMS—for the management of distributed business process is presented and some basic concepts for its definition and development are detailed. The DBPMS provides means for getting, analyzing, making available and managing the information from and about a virtual enterprise, enabling the enterprises to make their logistics more efficiently by means of an integrated information-based supply-chain management. All the work presented in this paper was developed within the scope of the ESPRIT project PRODNET-II (production planning and management in an extended enterprise).     

客户关系管理中客户服务管理系统的分析与设计--以物流行业为例

物流行业客户关系管理中的客户服务管理信息系统,是现代化和信息化物流企业开展客户服务不可缺少的组成部分,该系统的内容对于物流企业、客户和服务人员来说都至关重要。本文根据客户关系系统中客户服务领域的现状,结合现代经济环境对客户服务提出的新要求进行系统分析,并提出整体设计方案。