基于AMTS和现代市场发展的制造企业组织重构问题研究

从先进制造技术体系的飞速发展以及现代市场发展、国有企业改革等方面揭示了我国国有制造企业组织重构紧迫性和必要性，提出并剖析了制造组织重构的概念，在此基础上构造建了制造企业组织重构的原则并对制造企业的组织重构的操作提出了一些初步的想法。最后，本文对此课题的进一步研究进行了展望。     

Revenue management and demand fulfillment: matching applications,models, and software

Recent years have seen great revenue management successes, notably in the airline, hotel, and car rental businesses. Currently, an increasing number of industries, including manufacturers and retailers, are exploring ways to adopt similar concepts. Software companies are taking an active role in promoting the broadening range of applications. Additionally technological advances, including smart shelves and radio frequency identification (RFID), are removing many of the barriers to extended revenue management. The rapid developments in supply chain planning and revenue management software solutions, scientific models, and industry applications have created a complex picture, which is not yet well understood. It is not evident which scientific models fit which industry applications and which aspects are still missing. The relation between available software solutions and applications as well as scientific models appears equally unclear. The goal of this paper is to help overcome this confusion. To this end, we structure and review three dimensions, namely applications, models, and software. Subsequently, we relate these dimensions to each other and highlight commonalities and discrepancies. This comparison also provides a basis for identifying future research needs.     

Assessing manufacturing strategy definitions utilising text-mining

The variations in Manufacturing Strategy (MS) definitions create confusion and lead to lack of shared understanding between academic researchers and practitioners on its scope. The purpose of this study is to provide an empirical analysis of the paradox in the difference between academic and industry definitions of MS. Natural Language Processing (NLP) based text mining is used to extract primary elements from the various academic, and industry definitions of MS. Co-word and Principal Component Analysis (PCA) provide empirical support for the grouping into nine primary elements. We posit from the terms evolution analysis that there is a stasis currently faced in academic literature towards MS definition while the industry with its emphasis on ‘context’ has been dynamic. We believe that the proposed approach and results of the present empirical analysis can contribute to overcoming the current challenges to MS design and deployment – imprecise definition leading to its inadequate operationalisation.     

Managing information and supplies inventory operations in a manufacturing environment. Part 1: An action research study

In the first part of this research study, we describe the application of the action research method in the nuclear fuel manufacturing industry to process information and to develop a lean operating supplies inventory program. The motivation for our work stems from the interaction we had with AREVA Richland, the nuclear reactor fuel production site located in the state of Washington to investigate the important role that information processing and maintenance inventory play in keeping the production process functioning on schedule. AREVA's data systems are not well documented. Hence, designing a methodology to obtain good data and perform any validity checks was critical for the company. Additionally, the importance of meeting delivery schedules to nuclear power plants throughout the world cannot be overestimated. Late deliveries of fuel can easily destroy the precise schedules for power plant outages designed to minimise plant downtime and maximise electric power output. Therefore, AREVA cannot tolerate significant production schedule deviations. Maintenance items play a key role in ensuring that production schedules are met. AREVA has about $700,000 tied up in maintenance inventory at their Washington state plant. Hence driving this investment down, while maintaining a high fill-rate, is crucial. Through the deployment of process maps, failure mode effect analysis and cause-and-effect diagram, we managed an action research project that helped process information flow along the company's supply chain and generated a 27% reduction in inventory relative to the system that was currently in place at AREVA.     

分形企业和成组技术

本文介绍了欧洲提出的分形企业的基本概念，分析了其主要特点，并简要说明成组技术在分形企业中的作用。     

A topological model of limitations in design for manufacturing

Design for manufacturing (DFM) is a methodology that requires the use of specific manufacturing information at all stages of design. The method relies on a collection of informal and often controversial principles that seem to have eluded the benefits of formal analysis. The transition from design to manufacturing can be modeled as a mathematical mapping, and it has been previously shown how the discontinuity of this mapping formally captures the folklore that small design changes can lead to significantly increased manufacturing cost. We study the properties of the transition map in the presence of design and manufacturing variations, and show that its continuity is closely related to the structure of design and manufacturing topological spaces. The main result of this paper establishes conditions on these spaces under which design for manufacturing cannot be described by any continuous transition map. In practical terms, our study reveals the limitations of many DFM systems and approaches in their ability to relate design and manufacturing knowledge, and explains these limitations in terms of a basic incompatibility between the underlying design and manufacturing representations. We discuss how our model applies to DFM relative to traditional manufacturing methods (such as casting and stamping) and we speculate what changes might occur for alternative manufacturing technologies (such as electrical discharge machining (EDM), stereolithography, laser machining, and particle deposition).     

Virtual fusion: a hybrid environment for improved commissioning in manufacturing systems

Efficiency and quality are major factors contributing to profits in manufacturing systems. Production downtime occurs during commissioning of a new system, adoption of new processes, system faults, or (un)planned maintenance; all of which result in reduced production and profit loss. Current techniques for evaluating change to a manufacturing system rely on simulation and modeling to verify processes, but ignore the physical interactions of the work parts on the system. Implementation techniques to evaluate commissioning focus on identifying issues with the cyber interfaces, ignoring the physical interfaces. To validate the cyber and physical interfaces simultaneously, physical work are sent through the system, resulting in significant costs from scrapped work parts and loss of production time. This research proposes a virtual fusion environment where the physical interfaces between a virtual work part and a manufacturing system can be investigated in real-time, on the physical system, without the expenses associated with physical work parts. The virtual environment includes a virtual fusion filter to monitor discrepancies between the physical and virtual systems, and generate a hybrid virtual-physical input signal to the system level controller for virtualisation of a work part onto a physical system. Experimental demonstrations validate the feasibility of the proposed approach.     

Machine cell formation for production management in cellular manufacturing systems

The formation of machine-part families is an important task in the design of cellular manufacturing systems. Manufacturing cell grouping has the effect of reducing material handing cost and work in process. Among the many methods utilized in machine cells formation, the similarity coefficient method is most widely used. Production sequence and product volumes, if incorporated properly in determining the machine cells, can enhance the quality of solutions and reduce the number of intercellular movements. Measures for cell formation based on operations sequence utilizing ordinal production data are few and have many limitations, such as counting the number of the trips for each individual part instead of counting the weights of the batches. A new ordinal production data similarity coefficient based on the sequence of operations and the batch size of the parts is introduced. Furthermore, a new clustering algorithm for machine cell formation is proposed. The new similarity measure showed more sensitivity to the intercellular movements and the clustering algorithm showed better machine grouping.     

一种单元制生产方式设备布局问题的研究方法

单元制生产方式是适合于目前多品种、少批量市场需求环境下产生的先进生产制造方式,基于单元制生产方式的设备布局是实现精益生产的重要硬件支撑.对单元式生产方式下的设备布局进行了研究,把该种形式的设备布局分成两个阶段:第一阶段是制造单元的设计,第二阶段是对划定的制造单元进行布局,形成最终的设备布局.分别建立了相应的数学优化模型,通过实例验证了该方法的可行性和有效性.     

推动我国制造强国建设的若干问题研究

2015年,中国工程院启动了\"制造强国战略研究(二期)\"重大咨询项目,系统、深入地分析了现阶段中国制造强国建设面临的重点问题,提出了相应的对策建议,并形成研究报告。本文在项目前期研究的基础上,结合制造业的发展近况,使用数据挖掘、案例分析和专家访谈等研究方法,对制造强国发展指数、《中国制造2025》的相关政策等信息以及典型案例、专家观点进行了综合的分析论述。研究发现,制造业的增长模式、五大工程的实施差异度、传统产业面临被忽视以及地方政府产业政策趋同化等问题成为现阶段推动我国制造强国建设的主要制约因素。面对这些问题,建议推进优质制造和新一轮技术改造以促进增长模式转变和传统产业转型升级,协调五大工程实施以及地方产业政策以实现制造强国建设的有效推进。     

Oscillator analogy for modelling the manufacturing systems dynamics

The purpose of this paper is to present an approach of modelling and analysis of the dynamic behaviour of manufacturing systems. The manufacturing system is considered to be responding to an excitation, namely a demand that varies over time, by producing a number of parts over time. This resembles a mechanical system that displaces its mass responding to a varying input force. Based on this analogy, this paper establishes a manufacturing system's modelling method. A system identification technique is used for deriving inertia, damping and stiffness from the manufacturing system's response to different excitations. Based on these attributes, the response of a manufacturing system to any given input can be estimated. Furthermore, a definition for assessing manufacturing flexibility, based on this approach, is being discussed.     

Workload prediction for improved design and reliability of complex systems

This paper describes a method and a tool for analysing and predicting workload for the design and reliability of complex socio-technical systems. It concentrates on the need to assess workload early in the design phase to prevent systems failures. This is a continuation of our previous work on workload assessment. The method is supported by a tool that enables scenario-based validation of prospective socio-technical systems designs such as command and control rooms of military vessels. The approach combines probabilistic measures of human performance with subjective estimates of workload. The causal relationships of performance shaping factors (PSF) are modelled in a Bayesian belief network (BBN) and used to assess the agent's operational performance and reliability. Workload for each agent is calculated based on demand placed upon agents in terms of behavioural response to tasks, communications and interactions between humans and technology. The approach uses scenarios to stress test prospective system designs, where each scenario is modelled as a sequence of events. Reliability is expressed in terms of human error and is dynamically assessed throughout test scenario executions using BBN technology. The innovation beyond traditional reliability analysis relies to the use of dynamic and static estimates of reliability inputs for better informed assessment. This method enables identification of performance bottlenecks to be addressed by the designer early in the design phase. A case study is presented that demonstrates the use of the method and tool for the design of the command and control room of a military vessel.     

An introduction to Chinese manufacturing research institutions

The manufacturing environment has dramatically changed in the last few years. Worldwide competition among manufacturers and the development of new manufacturing technologies have contributed to today's competitive situation in many manufacturing areas. Advanced computer technology is the driver that has made global manufacturing competition possible. In this paper, the current research of advanced manufacturing technology at major institutions in China is introduced.