先进制造系统——信息技术、工程技术和管理技术的有机融合

从信息技术、工程技术和管理技术各自不同的主导作用出发,对先进制造系统进行分类研究.简要介绍了各种先进制造系统模式.分析了先进制造系统的信息技术、工程技术和管理技术有机融合的特点.     

现代集成制造管理模式比较

对代表中国集成制造先进管理模式的邯钢模式、斯达模式、哈电机模式进行了比较研究,总结了企业成本分解与控制、对市场的应变性、激励制度和责任管理四方面如何体现其自身的先进性,并指出我国企业现代集成制造模式应具备注重成本、注重控制、注重责任等三方面管理.     

先进制造系统战术无形效益形成机理研究

给出了明确的先进制造技术、先进制造系统、无形效益、战术无形效益的概念界定,研究了先进制造系统的运行特征,并进一步深入地研究了先进制造系统战术无形效益的形成机理。     

江西省支柱产业网络化制造资源管理模型研究

网络化制造是一种符合我国国情的先进制造模式,网络化制造系统的开发和实施,可以提高我国制造企业群体的综合竞争力,制造资源管理是网络化制造系统的重要组成部分.根据江西省支柱产业的实际情况,有必要将网络化制造模式应用到江西省支柱产业中.分析江西省支柱产业制造资源的特点,对其进行分类,建立基于BTCQS的3层江西省支柱产业制造资源模型结构.     

面向区域知识创新战略的聚合制造（ACM）

以提高区域知识创新能力为目标,提出面向区域知识创新战略的聚合制造方式.从范式转型的角度,探讨这种先进制造方式的兴起,比较其与现有主流先进制造方式的差别.在分析这种新型制造方式的基本特征及运行方式的基础上,探讨聚合制造对区域知识创新的促进作用,并通过典型案例分析这种制造方式的实际应用状况,展望其发展前景.     

现代工业制造模式的变迁及比较研究

本文针对未来工业生产的发展方向,界定了工业制造的三种模式———减量制造、等量制造和增量制造,在此基础上总结了三种模式之间的本质区别。     

先进制造技术实施效果评测体系的研究与应用

我国实施制造业信息化工程以来,大量企业引入并实施了先进制造技术,但由于缺乏有效的衡量标准,对先进制造技术的实施效果很难做出科学的评测.通过对国内外该领域的研究述评,建立一套适合中国使用的先进制造技术评测体系,并综合运用欧几里德距离判别和模糊综合评判等方法进行了实际案例分析.     

先进制造模式下成本管理系统的分析与设计

实施先进制造模式在质量管理成本、客户管理成本、选择和执行成本、设备维护成本等方面对现行成本管理系统提出了挑战。为了加快先进制造业的发展,在企业成本管理方面,应该也必须以罗伯特·S·卡普兰和罗宾·库珀所说的第四阶段成本管理系统的特征为基础,通过对传统成本管理系统的目标、特征、功能、层次结构等方面进行梳理和变革,为选择和实施先进制造模式的企业提供一个具有指导意义的成本管理系统设计框架。     

中日制造企业制造战略分类研究

对制造战略的实证研究近年来成为国际上生产和运作管理研究领域的热点.其要点是通过实地或问卷调研,在掌握大量丰富数据后,应用多元统计分析技术,挖掘制造战略各组成因素之间的因果、制约等关系.本文应用聚类分析方法,对中国和日本制造企业的制造战略进行了分类研究.用方差分析方法研究了各分类在市场发展目标、供应商选择、生产改善活动和绩效侧重点上的差异.     

中美制造实践差异及其对产品创新的影响

创新被认为是企业生存和组织竞争优势的关键因素.产品创新是企业创新最直接的体现,它既依赖于新概念、新思想的提出,又依赖于企业的制造实践的发展.本文利用国际制造战略调查(IMSS)的数据,通过对中国和美国制造实践差异及其对产品创新影响的分析,结果发现中国企业的制造实践普遍不如美国企业的制造实践,特别是组织层次过多,供应商和客户数量远低于美国企业,在先进制造技术的应用水平上也低于美国.结构方程模型的分析结果则表明,对美国企业而言,过去所采用的制造实践对产品创新具有较为明显的影响,而中国企业基本上没有影响.     

SERVICE-BASED MANUFACTURING: THE SERVICE FACTORY

Evidence suggests that factory-based service will become the next form of competition among manufacturers. If this is true, then manufacturing executives will have to obtain a clear understanding of the service capabilities of their plants and adjust their strategies accordingly. We define a set of factory-based services, information, problem solving, sales, and support, and suggest that they be considered in developing manufacturing strategy. Several propositions provide a framework for future research by linking service performance variables to conventionally accepted manufacturing performance variables.     

Process and quality control issues in the automated manufacturing of discrete parts

The techniques of quality control have been developed over a number of decades, during which the technology of manufacturing was essentially static in terms of control and strategy. Advances within the past decade have led to substantial changes in the manufacturing environment. Changes in the extent, type, and breadth of application of automation call into question some of the basic assumptions of classical quality control. Changes in the mode of manufacturing, such as JIT and emphasis on smaller lot sizes, raise further questions as to the validity of classical quality control in the modern manufacturing environment. This paper addresses some of the questions raised by recent advances in manufacturing and identifies issues for research in quality and process control in the modern manufacturing.     

THE CHALLENGE OF MANUFACTURING ADVANTAGE

In spite of the significant progress made by a wide range of manufacturing companies over the past decade, few senior executives in U.S. firms would point to manufacturing as a significant source of competitive advantage. This paper seeks to explore some of the basic reasons for this. It begins by providing a framework for manufacturing competitiveness. It then outlines a handful of characteristics that seem to have been pervasive in a wide range of manufacturing competitiveness programs over the past decade. In contrast to those characteristics, it uses three quite different organizations to illustrate a very different mode for pursuing manufacturing competitiveness. Finally, the paper concludes by outlining three elements that appear to be essential in the successful pursuit of manufacturing advantage.     

Shopfloor control practices in three Pacific basin countries: a comparative view of small machine tool industry

The strategic importance of manufacturing decisions to the competitive position of a firm is well known. As the sphere of competition has expanded from regional to national to international, successful manufacturing decisions have become ever more complex. The success of manufacturing strategics ultimately rests on proper tactical implementation at the shopfloor level. In order to explore various operating policies and procedures at a basic level, and to contrast them with some commonly held beliefs, this paper examines and compares the shopfloor practices of companies in the small machines too! industry in selected countries in the Pacific rim, namely; Japan,

China and South Korea. While many popular views on manufacturing practices in these countries are supported by the study, the results challenge other commonly held views.     

Cloud manufacturing system for sheet metal processing

Abstract

Cloud computing is changing the way industries and enterprises run their businesses. Cloud manufacturing is emerging as an approach to transform the traditional manufacturing business model, while helping the manufacturer to align production efficiency with its business strategy, and creating intelligent factory networks that enable collaboration across the whole enterprise. Many production planning and control (PPC) problems are essentially optimisation problems, where the objective is to develop a plan that meets the demand at minimum cost or maximum profit. Because the underlying optimisation problem will vary in the different business and operation phases, it is important to think about optimisation in a dynamic mechanism and in a number of interlinked sub-problems at the same time. Cloud manufacturing has the potential to offer decision support as a service and medium of communication in PPC. To solve these problems and produce collaboration across the supply chain, this paper provides an overview of the state of the art in cloud manufacturing and presents a model of cloud-based production planning and production system for sheet metal processing.     

供应链管理对于大型复杂产品制造业集群演进的影响机理研究

产业集群演进是指在一定驱动力下产业集群从某个具有阶段特征的整体结构与态势向另一个具有阶段特征的结构与态势转变发展的过程。在这个过程中供应链管理可以促进资源的有效整合和利用,优化产业结构,促进产业升级。在前人关于大型复杂产品和供应链管理相关研究基础上,以组织要素、产品复杂性要素、产业关联度要素为影响变量,构建了供应链管理对大型复杂产品制造业集群演进的影响机理模型,通过实证分析,得出SCM对于大型复杂产品制造业集群演进的影响机理是一个全方位的作用模式,这为大型复杂产品制造业集群中供应链管理提供了借鉴。     

COMPUTER-INTEGRATED MANUFACTURING: A TAXONOMY OF INTEGRATION AND RESEARCH ISSUES

The past decade has seen an upsurgence in the number of manufacturing companies that are attempting to transform into computer-integrated enterprises. However, much of the computer-based integration efforts in these manufacturing organizations have been limited in scope and localized within certain areas of the organization (particularly, technology-intensive areas such as the shop floor). Such compartmentalized and myopic approaches to the development of computer-integrated manufacturing (CIM) systems undermine the ability of these systems to reach their fullest potential. CIM is much larger in scope and can impact an organization along various dimensions and at various levels. The fact that no completely integrated manufacturing enterprise has been developed to date can be attributed, in part, to a lack of understanding of the scope and implications of CIM. The purpose of this paper is, therefore, twofold. First, the paper presents a meta-schema (called TRIAD) for multidimensional and multilevel integration of a manufacturing system. Second, on the basis of the proposed meta-schema, the paper develops a taxonomical framework for defining key integration issues in CIM system design and discusses critical research needs that exist in this area. It is hoped that this paper will serve as a road map for research efforts that will enable the emergence of comprehensive CIM systems.     

Determinants and barriers to lean implementation in food-processing SMEs – a multiple case analysis

This study explored contextual or determining factors and their impacts on lean manufacturing in small- and medium-sized enterprises (SMEs) operating in food-processing industries. In order to get an in-depth insight into the real situation at the work floor, this study adopted a multiple-case-study research approach. The inherent characteristics of food industries, such as mandatory quality assurance requirements, low shelf life of food products, and the extremely volatile demand and supply presented barriers to lean manufacturing adoption. In addition, the challenges of ‘change’ in an SME environment are distinct from those faced by large organizations. The small size of the plant, the traditional setup, and inflexible layout make it difficult to implement lean manufacturing in food-processing SMEs. The knowledge of contextual factors influencing lean manufacturing adoption in food processing SMEs will be a contribution to current knowledge. Many studies have explored lean constructs and tools, while far fewer have explored the crucial element of actually implementing these. The study will also help practitioners to anticipate potential obstacles and take proper measures to deal with them during lean implementation.     

A fast FPTAS for single machine scheduling problem of minimizing total weighted earliness and tardiness about a large common due date

We address the single machine scheduling problem to minimize the total weighted earliness and tardiness about a nonrestrictive common due date. This is a basic problem with applications to the just-in-time manufacturing. The problem is linked to a Boolean programming problem with a quadratic objective function, known as the half-product. An approach to developing a fast fully polynomial-time approximation scheme (FPTAS) for the problem is identified and implemented. The running time matches the best known running time for an FPTAS for minimizing a half-product with no additive constant.